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    Development of a BIM-Based Data Management System for Structural Health Monitoring with Application to Modular Buildings: Case Study

    Source: Journal of Computing in Civil Engineering:;2019:;Volume (033):;issue:003
    Author:
    Mojtaba Valinejadshoubi;Ashutosh Bagchi;Osama Moselhi
    DOI: doi:10.1061/(ASCE)CP.1943-5487.0000826
    Publisher: American Society of Civil Engineers
    Abstract: Modular buildings or off-site construction of building units are increasingly gaining momentum. Although such construction practices have advantages in terms of cost competitiveness and delivery time, they have many issues related to structural integrity and secondary stresses from vibration during transit and misalignment during installation. Therefore, monitoring the vibration, strain, and deformation of the modules using structural health monitoring (SHM) techniques is important. The primary purpose of this study is to explore building information modeling (BIM) techniques to facilitate effective data management and the representation of sensory components of the SHM system in a building and to render or visualize the damage or distress in building components based on the interpretation of sensor data. The proposed framework consists of two main modules: (1) an automated sensor-based data acquisition and storage module, which extracts sensor data for a structure from a corresponding relational database; and (2) an automated data and damage visualization module, through which sensor data are interpreted to identify damage or anomalies in the structure and the affected building components are highlighted and tagged in the BIM of the building to facilitate visualization. The damaged or near-damaged elements of the modules are highlighted in the BIM model through color-coding based on predefined threshold strain values. Because detecting buckled or yielded steel members (local damages) in a building or a module is challenging given that these components are often hidden behind fireproof coating and drywall, the proposed SHM-based condition assessment system will contribute—especially in the preinstallation and operational phases—to providing efficient, near-real-time health monitoring of buildings and increasing the efficiency of the structural condition assessment process. These benefits could be particularly useful for modular buildings, for which the modules are constructed in a plant and transported to the site for installation. In these stages, a module may undergo hidden or visible damage, the installed sensors are expected to provide a mechanism to assess such damage, and the entire process can be managed through BIM. Importantly, note that although a similar concept was explored by other researchers to integrate SHM with BIM, the present study provides a more comprehensive methodology through the complete implementation of the system to demonstrate the concept through a case study.
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      Development of a BIM-Based Data Management System for Structural Health Monitoring with Application to Modular Buildings: Case Study

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4257366
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    contributor authorMojtaba Valinejadshoubi;Ashutosh Bagchi;Osama Moselhi
    date accessioned2019-06-08T07:26:07Z
    date available2019-06-08T07:26:07Z
    date issued2019
    identifier other%28ASCE%29CP.1943-5487.0000826.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4257366
    description abstractModular buildings or off-site construction of building units are increasingly gaining momentum. Although such construction practices have advantages in terms of cost competitiveness and delivery time, they have many issues related to structural integrity and secondary stresses from vibration during transit and misalignment during installation. Therefore, monitoring the vibration, strain, and deformation of the modules using structural health monitoring (SHM) techniques is important. The primary purpose of this study is to explore building information modeling (BIM) techniques to facilitate effective data management and the representation of sensory components of the SHM system in a building and to render or visualize the damage or distress in building components based on the interpretation of sensor data. The proposed framework consists of two main modules: (1) an automated sensor-based data acquisition and storage module, which extracts sensor data for a structure from a corresponding relational database; and (2) an automated data and damage visualization module, through which sensor data are interpreted to identify damage or anomalies in the structure and the affected building components are highlighted and tagged in the BIM of the building to facilitate visualization. The damaged or near-damaged elements of the modules are highlighted in the BIM model through color-coding based on predefined threshold strain values. Because detecting buckled or yielded steel members (local damages) in a building or a module is challenging given that these components are often hidden behind fireproof coating and drywall, the proposed SHM-based condition assessment system will contribute—especially in the preinstallation and operational phases—to providing efficient, near-real-time health monitoring of buildings and increasing the efficiency of the structural condition assessment process. These benefits could be particularly useful for modular buildings, for which the modules are constructed in a plant and transported to the site for installation. In these stages, a module may undergo hidden or visible damage, the installed sensors are expected to provide a mechanism to assess such damage, and the entire process can be managed through BIM. Importantly, note that although a similar concept was explored by other researchers to integrate SHM with BIM, the present study provides a more comprehensive methodology through the complete implementation of the system to demonstrate the concept through a case study.
    publisherAmerican Society of Civil Engineers
    titleDevelopment of a BIM-Based Data Management System for Structural Health Monitoring with Application to Modular Buildings: Case Study
    typeJournal Article
    journal volume33
    journal issue3
    journal titleJournal of Computing in Civil Engineering
    identifier doidoi:10.1061/(ASCE)CP.1943-5487.0000826
    page05019003
    treeJournal of Computing in Civil Engineering:;2019:;Volume (033):;issue:003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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