Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Damage detection for prefabricated building modules during transportation
Abstract Transportation of prefabricated modules is a critical process in modular construction and can cause additional stresses which may damage individual modules, leading to additional costs and time during the installation and operational phase if damaged parts are not timely restored or replaced. Therefore, utilizing a tracking and condition monitoring system is useful for modular building manufacturers to detect damaged modules upon arrival to the project job site. The tracking system, developed in this study, consists of a acceleration-sensor-based data acquisition (DAQ) module and a storage module, along with automated data analysis module to assess the structural condition of prefabricated building modules during transportation. The system uses the acceleration Root Mean Square (RMS) parameter and unsupervised clustering algorithms for damage detection. After detailed analysis, using performance measurement techniques: confusion matrix and accuracy score, it was found that the DBSCAN clustering algorithm yielded full accuracy score in the case of more than one level of damage compared to k-means, mean shift, and agglomerative clustering algorithms, which yielded accuracy scores of 0.81, 0.79, and 0.78 respectively. The developed system addresses existing challenges of cost and complexities associated with commercially available hardware systems and can provide evidence to support manufacturers' insurance claims on repair and/or replacement costs. However, the developed system should be tested further on more prefabricated building modules instrumented with a larger number of sensors.
Highlights This study introduced an automated data driven-based monitoring system. A sensor-based data acquisition and storage module was developed. A workflow was developed to detect and classify transportation-induced structural damages. A visualization-based method was developed to identify the failed sensors. The developed system can be used as a quick and effective solution to ensure all prefabricated building modules are transported safely.
Damage detection for prefabricated building modules during transportation
Abstract Transportation of prefabricated modules is a critical process in modular construction and can cause additional stresses which may damage individual modules, leading to additional costs and time during the installation and operational phase if damaged parts are not timely restored or replaced. Therefore, utilizing a tracking and condition monitoring system is useful for modular building manufacturers to detect damaged modules upon arrival to the project job site. The tracking system, developed in this study, consists of a acceleration-sensor-based data acquisition (DAQ) module and a storage module, along with automated data analysis module to assess the structural condition of prefabricated building modules during transportation. The system uses the acceleration Root Mean Square (RMS) parameter and unsupervised clustering algorithms for damage detection. After detailed analysis, using performance measurement techniques: confusion matrix and accuracy score, it was found that the DBSCAN clustering algorithm yielded full accuracy score in the case of more than one level of damage compared to k-means, mean shift, and agglomerative clustering algorithms, which yielded accuracy scores of 0.81, 0.79, and 0.78 respectively. The developed system addresses existing challenges of cost and complexities associated with commercially available hardware systems and can provide evidence to support manufacturers' insurance claims on repair and/or replacement costs. However, the developed system should be tested further on more prefabricated building modules instrumented with a larger number of sensors.
Highlights This study introduced an automated data driven-based monitoring system. A sensor-based data acquisition and storage module was developed. A workflow was developed to detect and classify transportation-induced structural damages. A visualization-based method was developed to identify the failed sensors. The developed system can be used as a quick and effective solution to ensure all prefabricated building modules are transported safely.
Damage detection for prefabricated building modules during transportation
Valinejadshoubi, Mojtaba (Autor:in) / Bagchi, Ashutosh (Autor:in) / Moselhi, Osama (Autor:in)
26.06.2022
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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