ISBN: 978-1-5108-2992-3
33rd International Symposium
on Automation and Robotics in
Construction and Mining
(ISARC 2016)
Auburn, Alabama, USA
18 - 21 July 2016
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TABLE OF CONTENTS
Analytical Hierarchy Process Decision Support System (AHP-DSS) for Trenchless Technology ... 1
M. Salah, S. Samra, O. Hosny
Time-Cost Tradeoff Model for Multiple Asphalt Paving Projects Using Genetic Algorithms... 10
M. Salah, T. Zaki, O. Hosny
Fast and Robust 3D Terrain Surface Reconstruction of Construction Site Using Stereo Camera ... 18
C. Sung. S. Lee, Y. Kwon, P. Kim
Sampling-based Floor Plan Analysis on BIMs ... 26
C. Schlette, J. Robmann
Site Plan Development: Tower Crane Placement Based on Data Obtained from IFC File... 33
T. Funtik, J. Gasparik
Application of Self-location System Using a Floor of Random Dot Pattern to an Automatic Guided
Vehicle ... 38
Y. Fukase, H. Kanamori, H. Taga, K. Saito, E. Nagata
Automatic Surface Flatness Control using Terrestrial Laser Scanning Data and the 2D Continuous
Wavelet Transform... 45
E. Valero, F. Bosche
Inspection Robot with Low Cost Perception Sensing ... 53
H. Peel, G. Morgan, C. Peel, A. Cohn, R. Fuentes
How Can Lean, IPD and BIM Work Together? ... 60
A. Fakhimi, J. Sardroud, S. Azhar
Direction Aware Bluetooth Low Energy Based Proximity Detection System for Construction Work
Zone Safety... 68
J. Park, Y. Cho, S. Timalsina
Field Construction Management Application through Mobile BIM and Location Tracking
Technology ... 74
J. Park, Y. Cho, K. Kim
Adaptive Control of Bulldozer’s Workflows ... 80
A. Bulgakov, S. Emilianov, T. Bock, G. Tokmakov
Mathematical Representation of Haptic Robotic Realization for Artefacts Maintenance ... 87
A. Bulgakov, A. Volkov, D. Sayfeddine
Innovative Assessment of Selected Properties of Industrial Floors ... 93
T. Funtik, J. Erdelyi, M. Dubek, J. Gasparik
Automatic Reconstruction of As-built BIM from Laser Scanned Data of Precast Concrete Elements
for Dimensional Quality Assessment... 101
Q. Wang, J. Cheng, H. Sohn
Active Control of a Pan-Tilt-Zoom Camera for Vision-Based Monitoring of Equipment in
Construction and Surface Mining Jobsites... 109
E. Azar
A Face Recognition System for Automated Door Opening with parallel Health Status Validation
Using the Kinect v2... 117
A. Ogawa, A. Mita, C. Georgoulas, T. Bock
Visual and 3D Mapping for Steel Bridge Inspection Using a Climbing Robot ... 125
N. Pham, H. La, Q. Ha, S. Dang, A. Vo, Q. Dinh
Improving Construction Labor Productivity Using Automatic Rebar Tying Gun ... 133
M. Safal, J. Cardenas, D. Leblanc, D. Rose, A. Shahi
Hybrid Simulation Modeling of Hoist Downpeak Operations in Construction Sites... 138
S. Xiang, M. Arashpour, R. Wakefield
Alternative Scheduling and Planning Processes for Hybrid Offsite Construction... 146
T. Salama, A. Salah, O. Moselhi
A Sequential Pattern Mining Approach to Extract Information from BIM Design Log Files... 154
S. Yarmohammadi, R. Pourabolghasem, A. Shirazi, B. Ashuri
Hbim and Fire Prevention in Historical Building Heritage Management ... 161
G. Frosini, C. Biagini, P. Capone, V. Donato, T. Giusti
The Role of Automation in Right-time Construction Safety ... 169
J. Teizer
First Person Virtual Reality for Evaluation and Learning of Construction Site Safety ... 177
BIM Applications of Rule-based Checking in Construction Site Layout Planning Tasks... 185
K. Schwabe, M. Konig, J. Teizer
Automated Equipment Recognition and Classification from Scattered Point Clouds for Construction
Management Applications ... 193
J. Chen, Y. Fang, Y. Cho
Real-time 3D Mobile Mapping for the Built Environment ... 200
J. Chen, Y. Cho
Parametric Library Components for BIM-based Curtain Wall Design Automation Module ... 207
B. Kim, S. Chin
A Framework for Developing an Estimation Model of Damages on Bridge Elements Using Big Data
Analytics ... 213
S. Lim, S. Chung, S. Chi, J. Song
Use of Ultra-Wideband Sensor Networks to Detect Safety Violations in Real Time... 221
J. Lucas, J. Burgett, A. Hoover, M. Gungor
Ergonomic Assessment of Residential Construction Tasks Using System Dynamics ... 228
H. Abaeian, N. Inyang, O. Moselhi, M. Al-Hussein, M. El-Rich
Coupling Wireless Sensor Networks and Unmanned Aerial Vehicles in Bridge Health Monitoring
Systems ... 236
H. Moud, M. Gheisari
The Impact of Eco-Feedback on Energy Consumption Behavior: A Cross-Cultural Study ... 242
J. Lin, N. Li, G. Ma, J. Zhou
Eye-Tracking Technology for Construction Safety: A Feasibility Study ... 249
R. Pinheiro, N. Pradhananga, R. Jianu, W. Orabi
A Framework of Lift Virtual Prototyping (LVP) Approach for Crane Safety Planning ... 257
Y. Fang, Y. Cho
Analytical Model and Data-driven Approach for Concrete Moisture Prediction ... 263
K. Thiyagarajan, S. Kodagoda
Automated Classification of Detected Surface Damage from Point Clouds with Supervised Learning... 271
B. Guldur, J. Hajjar
Construction Progress Management and Interior Work Analysis Using Kinect 3D Image Sensors ... 277
K. Ishida
Immersive Virtual Environments for Investigating Building Emergency Evacuation Behaviors: A
Feasibility Study ... 285
H. Zou, N. Li, L. Cao
Automated Construction of Masonry Buildings using Cable-Driven Parallel Robots... 293
T. Bruckmann, H. Mattern, A. Spengler, C. Reichert, A. Malkwitz, M. Konig
Integration of NDE Measurements and Current Practice In Bridge Deterioration Modeling... 301
M. Ahmed, O. Moselhi, A. Bhowmick
Discrete and Continuous Simulation Approach to Optimize the Productivity of Modular Construction
Element... 309
M. Afifi, M. Al-Hussein, S. Abourizk, A. Fotough, A. Bouferguene
Automated Removal of Planar Clutter from 3D Point Clouds for Improving Industrial Object
Recognition... 315
T. Czerniawski, M. Nahangi, S. Walbridge, C. Haas
Arbitrary 3D Object Extraction from Cluttered Laser Scans Using Local Features ... 323
M. Nahangi, T. Czerniawski, C. Rausch, C. Haas
Applying the Concept of Selective Assembly to Modular Construction to Mitigate Impacts of
Component Variability... 330
C. Rausch, M. Nahangi, M. Perreault, C. Haas, J. West
A Preliminary Study on Text Mining–Based Human Resource Allocation in a Construction Project ... 338
S. Han, G. Lee
Incorporating BIM into Architectural Precast Concrete Fabrication ... 346
J. Collins
Automated 3D Image-Based Section Loss Detection for Finite Element Model Updating ... 356
N/A
Automation of Modular Assembly of Structural Frames for Buildings... 364
B. Raphael, K. Rao, K. Varghese
Suggestion of the Ground Stiffness Estimative Method with the Running Speed of a Plate Compactor ... 372
T. Hashimoto, K. Fujino, K. Tateyama
Ambient Data Collection in Indoor Building Environments Using Mobile Robots ... 378
Fast Terminal Sliding Mode Control for Gantry Cranes... 386
A. Singh, V. Hoang, Q. Ha
A Framework for Optimizing Lap Splice Positions within Concrete Elements to Minimize Cutting
Waste of Steel Bars ... 392
Z. Nadoushani, A. Hammad, A. Akbarnezhad
Factors influencing BIM Adoption in Small and Medium Sized Construction Organizations ... 399
Y. Hong, S. Sepasgozar, A. Ahmadian, A. Akbarnezhad
Simulation of HVAC Local Control Based on Occupants Locations and Preferences ... 408
Z. Liu, S. Salimi, A. Hammad
Industrial Timber House Building – Levels of Automation ... 415
D. Popovic, M. Winroth
Research on Improving Work Efficiency of Unmanned Construction ... 422
M. Moteki, N. Akihiko, S. Yuta, H. Mishima, K. Funjino
Operation Analysis of Hydraulic Excavator with Different Operation System ... 430
A. Nishiyama, M. Moteki, K. Fujino, T. Hashimoto
Derivation of the Factors Influencing the Network Performance of Serverless Smart Exit Sign
Systems based on Wireless Sensor Networks ... 438
H. Kim, G. Lee, J. Cho
A Multi-Objective Mixed Integer Programming Model for Minimising Obtrusive Effects and
Installation Costs of Night-time Lighting on Construction Sites ... 446
A. Hammad, A. Akbarnezhad, D. Rey
A Realisation of a Construction Scale Robotic System for 3D Printing of Complex Formwork ... 455
J. Gardiner, S. Janssen, N. Kirchner
Joint Segmentation and Recognition of Worker Actions using Semi-Markov Models ... 461
J. Yang, Z. Shi, Z. Wu
A Suggestion for Improvement of IFC Data in Energy Performance Index (EPI) based on Open BIM ... 467
J. Choi, I. Kim, M. Kim, J. Ryu
Emissions Modelling of Earthmoving Equipment ... 475
K. Barati, X. Shen
Monitoring Apparent pH Value in Geopolymer Concrete Using Glass Electrode... 483
J. Dang, X. Shen, A. Castel, J. Aldred
Optimum Driving Pattern for Minimizing Fuel Consumption of On-road Vehicles ... 490
J. Klein, X. Shen, K. Barati
Reduced-order Models for Supporting Energy Audits of Buildings ... 497
M. Benedettelli, A. Carbonari, B. Naticchia, M. Vaccarini
Human State Estimation System Implemented in an Office Deployable Getaway Based on Multiple
Bio Information... 505
S. Nakaso, J. Guttler, A. Mita, T. Bock
A Cloud-based BIM Platform for Information Collaboration... 513
L. Ma, R. Sacks
Real-time Schedule Control ... 521
S. Isaac
Human-Robot Collaboration for Creative and Integrated Design and Fabrication Processes ... 526
S. Sharif, T. Gentry, L. Sweet
Optimizing the Trajectory of the Painting Robot ... 534
M. Bruzl, V. Usmanov, P. Svoboda, R. Sulc
A Point Cloud-Vision Hybrid Approach for 3D Location Tracking of Mobile Construction Assets ... 541
Y. Fang, J. Chen, Y. Cho, P. Zhang
Investigating Safety Passage Planning for System Shoring Supports with BIM ... 548
R. Zhuang, S. Hung, Y. Shiau, K. Liu, C. Liu
Development of House Selling System for Construction Industries ... 553
R. Zhuang, Y. Chiu, Y. Shiau, C. Guo
Dynamic Space Conflict Modeling for Construction Operations ... 559
A. Saeedfar, L. Song, S. Gore
Audio Signal Processing for Activity Recognition of Construction Heavy Equipment ... 566
C.-F. Cheng, A. Rashidi, M. Davenport, D. Anderson
An Automated GIS based Piezoelectric Potential Assessment: PE Calculator©... 574
S. Toroghi, M. Li, B. Ashuri
Low Cost Augmented Reality Framework for Construction Applications... 581
S. Kodeboyina, K. Varghese
Entity Matching Across Stereo Cameras for Tracking Construction Workers ... 590
Analysis of Accuracy Factor for 3D Reconstruction using 2D Image Obtained from Unmanned Aerial
Vehicle (UAV) ... 598
H. Ko, S. Kwon, S. Chung, D. Moon, J. Park, J. Seo, S. Kang
Target-Free Automatic Registration of Point Clouds... 605
P. Kim, Y. Cho, J. Chen
Resource Allocation Methodology of Virtual Desktop Infrastructure in Cloud Computing BIM:
Focusing Korean Small and Medium Sized Architectural Design Firm ... 612
K. Lee, S. Kwon, J. Shin, D. Kim, D. Moon, S. Lee
Using Simulation Applications for Sustainable Design and Construction ... 620
H. Khoshnevis, N. Khairdoost
3D Grid Size Optimization of Automatic Space Analysis for Plant Facility Using Point Cloud Data ... 627
G. Choi, S. Kwon, D. Kim, D. Moon, S. Jung, S. Lee, H. Ko
KBimCode-based Applications for the Representation, Definition and Evaluation of Building Permit
Rules ... 635
S. Park, J.-K. Lee
Optimizing Surveillance Camera Placement in Buildings Using BIM ... 643
A. Albahri, A. Hammad
Integration of BIM and FEA in Automation of Building and Bridge Engineering Design ... 648
F. Fedorikl, T. Makkonen, R. Heikkila
Challenges and Opportunities for Implementation of Laser Scanners in Building Construction ... 654
S. Sepasgozar, C. Wang, S. Shirowzhan
Design and Simulation of a Fuzzy Supervisory Control System Integrated in a Small Public Building ... 663
A. Carbonari, S. Meschini, M. Benedettelli
Auto-layout of Lighting Objects to Support Lighting Design in the Early Phase of Design... 671
H. Kim, J. Huang, Y.-S. Hwang, J.-K. Lee
Automated Layout Planning of Climbing Formwork System Using Genetic Algorithm ... 679
M. Kim, T. Kim, H. Lim, H. Cho, K.-I. Kang
An Extended Ambient Intelligence Implementation for Enhanced Human-Space Interaction ... 686
A. Cheng, H. Bier
Evaluation of Lifting Efficiency of Double-Cage Construction Lift in Supertall Building Construction... 694
W. Kim, D. Lee, T. Kim, S. Kim, H.-K. Jung, H. Cho, K.-I. Kang
Robotic Application of Foam Concrete Onto Bare Wall Elements ... 702
E. Lublasser, J. Bruninghaus, A. Vollpracht, L. Hildebrand, S. Brell-Cokcan
Development of a Fast and Effective Solution for On-site Building Envelope Installation ... 710
W. Pan, T. Bock, T. Linner, K. Iturralde
Accuracy Assessment for 5 Commercial RTK-GNSS Systems Using a New Roadlaying Automation
Test Center Calibration Track ... 716
R. Heikkila, M. Vermeer, T. Makkonen, P. Tyni, M. Mikkonen
A Case Study: Projecting Images for Designing Interior Panels Using Parametric Modeling Tool... 721
H. kim, J. Huang, J.-K. Lee
SeeBridge Information Delivery Manual (IDM) for Next Generation Bridge Inspection ... 728
R. Sacks, A. Kedar, A. Borrmann, L. Ma, D. Singer, U. Kattel
Development of the Scenario-based Evaluation of Indoor Circulation using BIM-enabled Parameters ... 736
J. Shin, J.-K. Lee, J. Huang
Applying Systems Modeling Approaches to Building Construction... 744
F. Valdes, R. Gentry, C. Eastman, S. Forrest
Robot-Oriented Design for Production in the Context of Building Information Modeling... 752
F. Correa
State of Art on Site Space Modeling in Construction Projects... 760
S. Gore, A. Saeedfar, L. Song
Interoperability with IFC in the Automated Rebar Fabrication ... 769
A. Maciel, F. Correa
Data-Processing Model for Vertical Zoning Based on Construction Lift Operation Records for
High-rise Building ... 777
J. Shin, S. Kwon, D. Kim, D. Moon, S. Chung, G. Choi, K. Lee
Automatic Crane-Related Workflow Control for Nuclear Plant Outages through Computer Vision
and Simulation ... 784
C. Zhang, P. Tang, A. Yilmaz, N. Cooke, V. Buchanan, A. Chasey, R. Boring, S. Germain, T. Vaughn, S. Jones
Decision Support System for Material Selection Based on Supplier Rating... 792
A. Akanmu, B. Asfari
An Adaptive Automated Monitoring of Construction Activities using Swarm Nodes... 800
A Process-Driven Representation Schema for Masonry Wall Assemblies... 806
A. Cavieres, R. Gentry, C. Eastman
LCA of a Designed Single-family Housing in Atlanta Under Two Different Energy Usage Systems ... 814
Y. Shi, T. Feng
Challenges of Migrating from Desktop-based BIM in Construction... 824
S. Sepasgozar, A. Costin, C. Wang
Data-Driven Scene Parsing Method for Construction Site Monitoring ... 832
H. Kim, K. Kim
Large Scale 3D Printing of Complex Geometric Shapes in Construction... 836
J. Teizer, A. Blickle, T. King, O. Leitzbach, D. Guenther
Sensing Workers Gait Abnormality for Safety Hazard Identification... 844
K. Yang, C. Ahn, M. Vuran, H. Kim
Integrating Crane Information Models in BIM for Checking the Compliance of Lifting Plan
Requirements ... 852
J. Yeoh, J. Wong, L. Peng
Handheld Simultaneous Localization and Mapping Devices for 3D Scanning... 860
M. Froehlich, S. Azhar
The Study on the Integrated Control System for Curtain Wall Building Cleaning Robot... 869
M. Gil, S. Kim, Y. Lee, S. Lee, C. Han
Development of a Sensor System for Detecting Window Contamination for the Building Maintenance
Robot System ... 875
Y. Lee, S. Kim, J. Lee, M. Kang, D. Sun, C. Han
Development of BIM-based Real-time Evacuation and Rescue System for Complex Buildings... 881
M.-Y. Cheng, K.-C. Chiu, Y.-M. Hsieh, I.-T. Yang, J.-S. Chou
Modeling the Permanent Deformation Behavior of Asphalt Mixtures Using a Novel Hybrid
Computational Intelligence ... 890
M.-Y. Cheng, D. Prayogo
The Development of a BIM-enabled Inspection Management System for Maintenance Diagnoses of
Oil and Gas Plants ... 896
H. Chi, J. Wang, J. Chai, X. Wang
A Framework for Establishing Early Warning System for Working in Hot Environments ... 904
W. Yi, J. Zhu, X. Liu, X. Wang, A. Chan
An Integrated INS-GPS-Raspberry Pi System Using the Time-Sphere Model for Real-Time
Identification of Struckby-Equipment Hazard ... 910
J. Wang, S. Du, S. Razavi
Applications of Supernumerary Robotic Limbs to Construction Works: Case Studies ... 918
W. Seo, C.-Y. Shin, J. Choi, D. Hong, C. Han
Technical Term Similarity Model for Natural Language Based Data Retrieval in Civil Infrastructure
Projects ... 924
T. Le, H. Jeong
Consolidated Exchange Models for Implementing Precast Concrete Model View Definition ... 931
K. Afsari, C. Eastman
A Model for Real-Time Control of Industrial Robots ... 939
F. Shahmiri, J. Ficca
Cloud-based BIM Data Transmission: Current Status and Challenges ... 946
K. Afsari, C. Eastman, D. Shelden
Development of a Modular and Integrated Productmanufacturing-installation System Kit for the
Automation of the Refurbishment Process in the Research Project BERTIM... 953
K. Iturralde, T. Linner, T. Bock
Lean-based Diagnosis and Improvement for Offsite Construction Factory Manufacturing Facilities ... 961
Y. Zhang, G. Fan, Z. Lei, S. Han, C. Raimondi, M. Al-Hussein, A. Bouferguene
33rd International Symposium on Automation and Robotics in Construction (ISARC 2016)
HBIM AND FIRE PREVENTION IN HISTORICAL
BUILDING HERITAGE MANAGEMENT
Frosini, Giuliaa - Biagini, Carlob – Capone, Pietroc – Donato, Vincenzob – Giusti, Tommasoc
aUniversity of Florence. Florence – Italy
bUniversity of Florence. DIDA – Department of Architecture. Florence – Italy
cUniversity of Florence. DICeA – Department of Civil and Environmental Engineering. Florence – Italy
E-mail: [email protected], [email protected], [email protected], [email protected], [email protected]
Abstract
Italy possesses a unique cultural heritage that is constantly under threat from natural and anthropic risks: fire vulnerability is one of the main causes of architectural heritage destruction.
The goal of this work is to propose a methodological approach to the management and preservation of historical building heritage with respect to fire safety. This approach aims to facilitate the process of analysis, design and fire management in historical buildings, using automated procedures based on HBIM (Historical BIM) processes.
BIM can be used effectively in the digitization of cultural heritage: HBIM enables the three-dimensional modeling of the building by means of parametric objects, to which infographic information is associated, related to an appropriate Level of Development (LoD).
A workflow process has been defined to set up a procedure for best practices which can guarantee the correct interoperability between BIM programs and fire safety design.
The procedure, based on the exchange of IFC files, shows result applying analysis through Model Checking software of Model Checking and shows limited interoperability with fire safety software. The procedure has been validated through real tests and measurements, by comparing data obtained from a traditional fire prevention analysis with the data gathered from the automated procedure.
The real case study is the “Command Building” of the School of Air Warfare in Florence. Results mainly indicate that fire safety in historical buildings should always be managed using a performance-based approach (interoperability issue between HBIM and fire safety software).
Keywords – HBIM, interoperability, fire safety, historical buildings.
1
Introduction
In the past a high number of fire events, with serious consequences in terms of damage, have occurred both in Italy and abroad. The knowledge of these events and their analysis is an important source for their prevention and for the identification of specific guidelines to improve standard safety conditions. In order to protect historical building heritage it is useful to define a methodology based on an integrated digital design procedure aimed at fire safety management.
One possibility could be to use BIM (Building Information Modeling) and interoperable procedures, not only to coordinate the project during the whole building process, but also to obtain numerical data by analysing the virtual model through specialist simulations [1,2,3]. In fact, Building Information Modeling has been used for years during the renovation and restoration phases, also through collaborative platforms for the "design" of existing buildings (HBIM) and with different aims [4,5,6]: the virtual model can be used as a tool to highlight criticisms in the existing fabric and drive the decision making process [7].
This article sets out an approach for improving the interoperability between HBIM models and open source software for fire prevention analysis, validating the procedure through a comparison between the results achieved by the automated procedures and those derived from a traditional analysis.
The reported case study, the “Command Building of the School of Air Warfare” in Florence [8], deals with a building that belongs to Italian artistic and cultural heritage. The main purpose of this study was to evaluate the use of BIM for historic buildings and, specifically, the possible correlation between the process of fire prevention and design.
33rd International Symposium on Automation and Robotics in Construction (ISARC 2016)
Figure 1. The Command Pavilion, aerial photo [8]
2
State of the art
The eBIM (Existing Building Information Modeling) and HBIM (Historical Building Information Modeling) focus attention on a different design process to the one applicable to new buildings, but at the same time guarantee the database definition of various info-graphic information capable of transmitting specific meaningful content [9]. The model assumes significance not only as a geometric representation of the architectural object, but rather as a database for all the data collected during the survey phase and construction analysis [2,10].
In contrast to the modeling of ex-novo artifacts, where the parametric entities (BOMs) that define the model are collected within BIM platforms, in a cultural and historical building the definition of the “Historic Building Object Models” (H-BOMs) is subjected to a survey phase, which must possess specific features for the development and management of historic building models [5,6]. The difficulties of implementing projects for historical building heritage are not only related to the definition of new architectural elements that complement the existing database, but also to the need to define a Level of Development (LoD) as a function of the analysis that is going to be performed. In that sense, it is possible to calibrate the quantity and quality of necessary information and avoid time-consuming procedures during the reconstruction of the monument under analysis [5].
Also in the field of Fire Prevention an integrated approach based on BIM technology is useful, aiming to guarantee the interoperability between BIM software and specific software packages aimed at the planning phase and/or at fire testing [4,11,12].
From the fire safety point of view, in order to protect the buildings and their contents it goes towards a performance-based approach and it’s therefore able to adapt the design solutions to the reference building
context. This is a very important aspect for fire prevention and for protecting historical and artistic heritage, in which there is considerable difficulty in applying the rules, codes and prescriptive regulations: the identification of ad hoc solutions to this case makes it possible to reach a level of safety for buildings equivalent to that regulatory ensuring a lesser impact on the structure and convenient economic implications [13,14]. Nowadays there is a wide range of software, for example CFAST and FDS [13,15], that can both simulate a fire in order to determine the spread of fire and smoke, the response of a building at high temperatures and the movement of users leaving the building, and check the regulatory requirements concerning divisions and escape routes.
The development of this software provides high design flexibility and the opportunity to analyse aspects related to both the protection of human life and the protection of artistic goods [13,16].
3
Methodology
The main issues related to the historical heritage of artefacts relate to management as a whole; an important aspect is the fire vulnerability of structures which are sometimes subject to a functional change (such as office buildings, hotels or hospitals) with the inclusion of activities which do not provide specific rules for these types of buildings.
The use of an HBIM approach, still to be finalized, makes it possible to address the problem of the management of historic buildings by allowing interoperability between the software in order to facilitate the exchange of information in a digital format.
It is therefore essential to define from the outset the level of detail desired, so as to calibrate the information necessary for the realization of the various parametric objects that will compose the model. Once the HBIM model is completed, we propose an approach to fire prevention analysis by performing the relevant checks with a validation software program, such as Solibri Model Checker, to identify problems and/or design errors. Parallel analysis was carried out with traditional techniques to have a parameter for comparing the obtained results.
4 H-BIM and LoD
Applying the HBIM techniques means applying different approaches that can change in accordance with the building typology and its cultural relevance (for instance, if the building is a monument and if it has a certain aesthetic and architectural value) [5]. The BIM model has to be modelled with a certain LoD that must
33rd International Symposium on Automation and Robotics in Construction (ISARC 2016)
be chosen in accordance with the final purpose of the model. Possible purposes are discussed in the following list
Figure 2. Scheme of the proposed method
1. architectural restoration for the preservation of historical heritage through the simulation of conservative, supplementary or reconstructive assumptions and the creation of a visual data-base where they are collected, and the various preliminary investigations, contextual and post intervention;
2. recovery and reuse interventions in order to restructure and retrain the existing buildings, possibly by proposing a change of intended use; 3. structural analysis aimed at the rehabilitation of
existing buildings through local interventions, adjustment or seismic improvement;
4. upgrading of plants through energy design; 5. to design facility management interventions aimed
at the ordinary and extraordinary maintenance of buildings, of safety in the workplace and of fire prevention.
In the case of renovation projects and/or restoration of existing buildings, the experts involved are almost always forced to create new elements reproducing the objects belonging to the building's historical repertoire that complement the existing database.
Our methodology refers to Common BIM Requirements [17,18] that describe the requirements for the implementation of a BIM model, both in relation to data collection procedures and info-graphic modeling. In the case of existing or historical buildings, series 2 [18] describes how to start with an "inventory model", understood as the modeling of the state of information quality related to the building at the time of the recovery and/or restoration project. The COBIM identifies three methodologies for data collection which involve the use
of specific tools that are not always available; therefore, this highlights the need for a new classification that includes printed material about the original design. The means for the reconstruction of an existing building, through a BIM model, can then be listed in the following way:
Level 0 - Original documents and archival sources; Level 1 - Laser distance meter and total station; Level 2 – Photogrammetry;
Level 3 - Laser Scanner.
For each of these levels, it is possible to associate a “precision degree” and an “information accuracy”, which can influence the precision of the overall BIM model.
If we refer to the lowest level of accuracy, Level 0, the precision of the BIM model is connected to subordinate to the graphic errors and tolerances expressed by the source documents. For instance, if the document is represented with an architectural scale of 1:200 and the elements are represented with a weight line of 0.2 mm, the error can be quantified as 4 cm and the tolerance is expressed around 4/10 cm. To drastically reduce this inaccuracy, it is necessary to integrate the historical sources with a direct survey and, even better, use photogrammetry and a laser scanner. Figure 3 shows the relationship between the degree of accuracy and the representation error derived from the different methods used to perform the survey.
Figure 3. Relationship between error of representation and level of accuracy of different data collection techniques of a BIM model.
When there is the need to create an HBIM model it is therefore essential to obtain a sufficient amount of geometric and topological information, qualitatively suitable for the reproduction of each construction element that characterizes the object of study: the more data available to the designer, the more the result will correspond to reality.
33rd International Symposium on Automation and Robotics in Construction (ISARC 2016)
available technology for survey (i.e. the laser scanner), which involves minimum representation errors, is not always the most appropriate solution: the degree of accuracy provided by each data collection methodology is closely related to the objectives which must be achieved. Depending on the purpose for conducting the survey, and the reference scale representation with which the measured material is to be processed, it is clear that direct detection methods can be used, bearing in mind the increase of possible errors that may occur. An accuracy level of the detail needed for the reproduction of the building is associated to each specific purpose of the survey realisation. Therefore, we can find three categories:
High detail level of accuracy, which requires an almost realistic representation of the object; Average detail level of accuracy, in which the loss
of precision does not create excessive problems; Lowest detail level of accuracy, for which a less
detailed reproduction of the components of the object is sufficient.
In parallel, according to the type of representation that is needed (and is possible to obtain), each level corresponds to the most appropriate type of tool, considering advantages and disadvantages resulting from its use.
The higher the level of detail required, the greater the degree of achievable accuracy with which the survey must be performed.
Figure 4. Relationship between a survey proposed for historical-monumental buildings and the level of accuracy obtained with the different methods.
5 R
isk assessment through BIM processes
Although there is a lot of fire simulation software, in existing buildings a traditional approach to fire prevention is still one of the most commonly-used methods.
The implementation of risk assessment through BIM methodology allows a simplification of procedures between the design and the analysis, avoiding the need
to refer to paper material or CAD files which allow the passage of a small amount of information that is mostly related to dimensional data. Starting from a BIM model and designed with an appropriate LoD for the preparation of a preliminary evaluation aimed at fire events, the user may be able to develop the necessary evaluations which can handle not only the geometrical aspects of the construction but also all the data related to the intrinsic properties of the materials. The main applications for fire safety verification adopt the IFC standards as a tool for interoperability, for the sharing of design information, but there are still issues related to compliance with the interoperability standards adopted by various implementation software programs and by intrinsic conformity to the IFC model that always needs integration.
6
Case study: the “Command Building”
of the School of Air Warfare in
Florence (Italy)
The proposed case study involves the application of BIM technology for the “Command Building” of the School of Air Warfare in Florence, one of the most avant-garde architectural and engineering masterpieces of 1930s.
The construction began in 1936 with the arch. Raffaello Fagnoni, who was commissioned to build the “Application for the Royal Air Force School”, now the “Institute of Military Aeronautical Sciences” [8].
One of the buildings that is part of the School of Air Warfare is the Command Building, where office activities take place: the exception is the top floor where there the apartments of the Commander are located. The building looks like a compact parallelepiped with a square plan that essentially consists of two parallel buildings placed in an east-west direction, connected to each other by two transverse bodies, realized with characteristic Vierendeel beams, that on the top floor open into a loggia. The case study can be summarized in three steps:
1. Modelling of the building according to the principles of HBIM;
2. traditional fire prevention analysis by checking the rules on fire prevention and later defining the possible intervention solutions;
3. application of specific software (Solibri Model Checker), to evaluate the fire safety of the building.
7 The modelling phase with Autodesk Revit Architecture
33rd International Symposium on Automation and Robotics in Construction (ISARC 2016)
was used, as one of the possible parametric software programs for the construction industry based on the BIM platform for the modeling of new and historic buildings.
The "construction" of the Command Building began with the reconstruction of maps of various levels using AutoCAD in order to have a frame of reference from which to begin the modeling. Subsequently, through the analysis of the topological information of the various technical components the appropriate families for walls and floors were defined, thereby obtaining a first and schematic project.
Figure 5 .Axonometric section of the Command Building.
Following this, the model was gradually refined with “in-place” family, representing the various internal and external fixtures, stairs and all the architectural elements that characterize it. An identification code was assigned to each architectural and/or structural component, generally composed of four parts:
1. generic item category and its location; 2. material and/or type of element;
3. characterizing size (for example, the thickness of walls and floors, or size for fixtures);
4. finishing material.
Proceeding in that way, by a simple request to the software, it was simple to go back immediately to family and type of each technical element that compose the building. It is important to consider that the preliminary realization of the 2D project occurred through a survey the paper material available without having the possibility to execute a direct validation of the building. This certainly implies a very high degree of approximation, directly proportional to the error of the representation expressed in centimetres. Compared to the actual size of detected objects, bigger mistakes will be tolerated on small scales, and smaller errors on big scales. Despite being in possession of limited and not very detailed information, it was possible to
reconstruct the building in order to perform assessments on the fire safety of the structure.
Figure 6. 3D building.
8 Solibri Model Checker
Solibri Model Checker (SMC) is a software for "model checking" that allows the analysis of models through rule sets [19]. SMC is able to open both .dwg and IFC files: the hierarchical structure, the topological relation between elements and their dimensional and material characteristics are automatically recognized by the software. The SMC software applies a “Quality Assurance” process for each element (for instance, data of the project, products and components, services, management, production and control processes) by verifying the element's compliance with specific requirements by means of pre-set rules. The user can create customizable rules and run specific analyses in accordance with regulatory requirements, which can vary for each country.
33rd International Symposium on Automation and Robotics in Construction (ISARC 2016)
Figure 7. Export process of the Revit model on Solibri Model Checker.
These rules can be employed for the evaluation of the quality of the model and for the interference checking that makes it possible to highlight criticisms and shortcomings of projects, contributing to their validation. Among the rules proposed by SMC software is a set concerning the checking and control of escape routes. The system uses a sophisticated algorithm to identify all the possible escape routes, calculating their length: this is then compared with the user-entered limit and defined by a specific legislation. At the same time it is also possible to analyse the fire compartments, through a check on the various building components, and the minimum dimensions of the doors that define the various spaces. In this way, it provides a secure method to ensure the safety criteria for a proper fire design. Since the primary purpose of the case study is the evaluation of fire safety, we can identify three sets of control rules within the Architectural Checking "package":
BIM VALIDATION - ARCHITECTURAL: set of rules that includes laws to generally validate the BIM model by means of audits of all structural components;
GENERAL SPACE CHECK: rules for the setting controls on the minimum surfaces of the environments’ space.
EGRESS ANALYSIS: set of rules that control the fire compartments and the building escape routes. In this way, the program identifies a number of actions to be taken in order to refine and detail the model. The software automatically suggests adding missing data, if not previously defined in the BIM software. The analysis begins with the classification of the doors between Internal Door, Exit Door or Balcony Door, and vertical connections between Lift, Ramp or Stair. A data consistency check of the various construction elements is automatically given by the software, verifying if the elements are classified in accordance with the IFC standards. It is necessary to associate the corresponding classification to the walls and to the exterior doors, as SMC automatically associates functions of internal elements with these.
The next step is to assign the corresponding intended use for each space detected (IFC space) distinguishing between: office, storage, residence, space group, elevator, technical, vertical and horizontal paths (circulation).
As a last step, the compartments must be defined according to various methods by choosing the most appropriate in this case, specifying the maximum area laid down by legislation. Last step for the rules-et “Egress Analysis” approach is the definition of the parameters for the escape routes: according to the classification of the various rooms, you set the maximum path length, the minimum acreage for each occupant and the point of from which to calculate the escape route. It also needs to specify the methodology for measuring horizontal and vertical paths and the minimum size of corridors and doors. After starting the analysis, the software checks the various "packages" of rules according to the limits set by the user, reporting problems and validating the parameters.
9
Test results and problems of Solibri
Model Checker
From the data consistency analysis of the BIM model there is are no errors in its structure. With regard to the analysis of fire prevention, one of the main issues is the lack of elements with adequate fire resistance, such as doors, walls and windows: this discrepancy appears to be in agreement with what had been highlighted during the traditional fire analysis.
To verify the size of escape routes the rule "Escape Route Analysis" was analysed, through which it is possible to locate the escape routes, verifying that the length does not exceed the imposed limit. In addition to this, having set the size of the passages and doors, the number of planned occupants and the area assigned to each user, SMC is able to verify if the width of each frame is sufficient for evacuation, according to the crowding expected for any given space.
From this point of view, there are no problems related to the sizing of the passages and doors, so attention must be focused on the excessive length of the paths of some environments.
Performing an additional comparison with the results obtained from the calculation of the lengths through measurement made using the traditional method, (using AutoCAD 2012), we can highlight a deviation between the two values of about ten meters.
This is mainly due to the method of calculation chosen on SMC, especially in regard to the measurement along the stairs.
A further verification was carried out with the aim of reducing the escape routes, by transforming the stairwells into protected environments equipped with doors with adequate fire resistance and smoke filters so as to define a new dynamic safe place for evacuation. In this case it is not necessary to load the template again, but the classification of doors of the stairwells can be
33rd International Symposium on Automation and Robotics in Construction (ISARC 2016)
changed. In this way, the software directly modifies the extreme of the calculation of the paths.
Figure 8. Screen of analysis results with Solibri Model Checker on the length of the escape routes and relevant details.
Figure 9. Graphic explanation of the traditional fire testing.
Then, the software calculates the new distance and highlights those environments which exceed the regulatory limits; graphically, the entire escape is highlighted, from the internal selected space to the outside. Comparing the two proposed solutions, we can notice a reduction of the gap between the two measurements, on AutoCAD 2012 and on SMC files: this is due to the absence of the stairs in the distance calculation.
Despite the considerable advantages of using SMC, we must take into account some gaps in the software. First of all, it is necessary to emphasize that any standards imposed, and the regulatory limits required, refer to parameters that are sometimes not the same as those set out in Italian laws: if it can, on occasion, be difficult to adapt the program requests to the user's needs, another problem is that some checks on relevant national rules could be missed.
Another important issue is the difficulty of importing the model between Autodesk Revit and SMC. This is not due to the creation of the file in IFC format and its loading, but rather to the loss of information and
already-defined parameters that must be re-assigned every time. SMC assigns precise classifications to the various structural elements that must be carefully checked and modified if necessary, every time a new model is defined. If this aspect can be considered of secondary importance for an existing building, the same can hardly be said of building the new design, especially in the case of relatively complex buildings: the template cannot be directly edited. Instead, the user can only change the options or report any issues and their solutions. Each time the original project undergoes a variation, the same process of importing must be applied, carefully controlling the specific classification.
10 CONCLUSION
The case study allowed us to analyse a building belonging to the Italian historical-cultural heritage.
HBIM allowed us to perform a full survey of the building that, thanks to its three-dimensional restitution, makes it possible to consider lots of potential conservation measures, recovery, rehabilitation or functional re-use, and to perform structural, energetic and plant design analysis as well as assessments regarding the safety of the building.
However, the technology available does not allow a true representation of many features and of specific details that are beyond the seriality and prefabrication which affects new construction: for this type of modeling we can find groups of buildings that are difficult to model and we need to define ad hoc.
It is still essential to establish, from the earliest stages of modeling, the correct level of development to be obtained in order to streamline the resources available: according to the survey purposes it is possible to define a relative degree of accuracy of the available data in order to calibrate the quality and quantity of information for a faithful reconstruction of the buildings, and to reliably perform the analysis that we intend to carry out.
The analysis with SMC has also highlighted a number of errors that has affected the final results, if we compare to the results achieved by traditional method performed with spreadsheets and AutoCAD files. The use of automatic control, with respect to the prescriptive indications of fire prevention, would lead to considerable advantages from the economic point of view and also with regard to the management of the design for users' safety.
To solve the interoperability issue (importing data from Revit into SMC or any other model checking software), is necessary a redefinition of the input data. This interoperability problem arises from the missing semantic information in the IFC file exported from Revit. This issue is best dealt with using “Semantic
33rd International Symposium on Automation and Robotics in Construction (ISARC 2016)
Enrichment” of the BIM model files. Further developments of this research could be done considering the semantic enrichment approach.
In conclusion, we can state that Fire Safety Engineering is the way to manage historical and artistic heritage in fire prevention. Thanks to its design flexibility, a proper use of FSE ensures a level of safety for buildings which is equivalent to that provided by means of performance standards. This approach is made easier by having a complete BIM model, so research must be directed towards the development of an appropriate level of interoperability between BIM and FSE, in order to optimize the results and to better manage the information during both the design and management phase.
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