Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Damage Detection of Frame Structures Based on Acceleration Using Deep Learning
In this work, a damage detection method for frame structures based on time-history acceleration data using a deep learning (DL) technique is presented. For that aim, a dataset randomly created by finite element analysis (FEA) is employed to build the learning model based on a deep neural network (DNN). In which, inputs are the time-series acceleration at several degrees of freedom (DOFs) of a structure, while outputs are damage ratios of frame members. The accuracy of the trained and tested DL models is continuously updated by eliminating low-risk members which are predicted in a previous DL model via a damage threshold. Accordingly, the proposed methodology can reliably diagnose the location and severity of damaged members. Several examples programmed by Python are exhibited to validate the reliability of the suggested paradigm.
Damage Detection of Frame Structures Based on Acceleration Using Deep Learning
In this work, a damage detection method for frame structures based on time-history acceleration data using a deep learning (DL) technique is presented. For that aim, a dataset randomly created by finite element analysis (FEA) is employed to build the learning model based on a deep neural network (DNN). In which, inputs are the time-series acceleration at several degrees of freedom (DOFs) of a structure, while outputs are damage ratios of frame members. The accuracy of the trained and tested DL models is continuously updated by eliminating low-risk members which are predicted in a previous DL model via a damage threshold. Accordingly, the proposed methodology can reliably diagnose the location and severity of damaged members. Several examples programmed by Python are exhibited to validate the reliability of the suggested paradigm.
Damage Detection of Frame Structures Based on Acceleration Using Deep Learning
Lecture Notes in Civil Engineering
Reddy, J. N. (Herausgeber:in) / Wang, Chien Ming (Herausgeber:in) / Luong, Van Hai (Herausgeber:in) / Le, Anh Tuan (Herausgeber:in) / Nguyen, Duy D. (Autor:in) / Dang, Khanh D. (Autor:in) / Nguyen, An H. (Autor:in) / Luong, Van Hai (Autor:in) / Lieu, Qui X. (Autor:in)
The International Conference on Sustainable Civil Engineering and Architecture ; 2023 ; Da Nang City, Vietnam
Proceedings of the Third International Conference on Sustainable Civil Engineering and Architecture ; Kapitel: 142 ; 1333-1339
12.12.2023
7 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Damage Localization of Frame Structures Using Seismic Acceleration Response Data
| Tema Archiv | 2012
| SAGE Publications | 2019
Deep learning based damage detection of concrete structures
| Springer Verlag | 2024
Deep learning based damage detection of concrete structures
| Springer Verlag | 2024