Development of a software platform for bridge modal and damage identification based on ambient excitation
Modal and damage identification based on ambient excitation can greatly improve the efficiency of high-speed railway bridge vibration detection. This paper first describes the basic principles of stochastic subspace identification, peak-picking, and frequency domain decomposition method in modal ana...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2023-09-01
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| Series: | High-Speed Railway |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2949867823000405 |
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| _version_ | 1846169995241848832 |
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| author | Jiahuan Li Li Zhu Wenyu Ji Sunfeng You |
| author_facet | Jiahuan Li Li Zhu Wenyu Ji Sunfeng You |
| author_sort | Jiahuan Li |
| collection | DOAJ |
| description | Modal and damage identification based on ambient excitation can greatly improve the efficiency of high-speed railway bridge vibration detection. This paper first describes the basic principles of stochastic subspace identification, peak-picking, and frequency domain decomposition method in modal analysis based on ambient excitation, and the effectiveness of these three methods is verified through finite element calculation and numerical simulation. Then the damage element is added to the finite element model to simulate the crack, and the curvature mode difference and the curvature mode area difference square ratio are calculated by using the stochastic subspace identification results to verify their ability of damage identification and location. Finally, the above modal and damage identification techniques are integrated to develop a bridge modal and damage identification software platform. The final results show that all three modal identification methods can accurately identify the vibration frequency and mode shape, both damage identification methods can accurately identify and locate the damage, and the developed software platform is simple and efficient. |
| format | Article |
| id | doaj-art-225ff984a9014f11a232e54ba1dd4a18 |
| institution | Kabale University |
| issn | 2949-8678 |
| language | English |
| publishDate | 2023-09-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | High-Speed Railway |
| spelling | doaj-art-225ff984a9014f11a232e54ba1dd4a182024-11-12T05:22:14ZengKeAi Communications Co., Ltd.High-Speed Railway2949-86782023-09-0113162170Development of a software platform for bridge modal and damage identification based on ambient excitationJiahuan Li0Li Zhu1Wenyu Ji2Sunfeng You3School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, ChinaCorrespongding author.; School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Civil Engineering, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Civil Engineering, Beijing Jiaotong University, Beijing 100044, ChinaModal and damage identification based on ambient excitation can greatly improve the efficiency of high-speed railway bridge vibration detection. This paper first describes the basic principles of stochastic subspace identification, peak-picking, and frequency domain decomposition method in modal analysis based on ambient excitation, and the effectiveness of these three methods is verified through finite element calculation and numerical simulation. Then the damage element is added to the finite element model to simulate the crack, and the curvature mode difference and the curvature mode area difference square ratio are calculated by using the stochastic subspace identification results to verify their ability of damage identification and location. Finally, the above modal and damage identification techniques are integrated to develop a bridge modal and damage identification software platform. The final results show that all three modal identification methods can accurately identify the vibration frequency and mode shape, both damage identification methods can accurately identify and locate the damage, and the developed software platform is simple and efficient.http://www.sciencedirect.com/science/article/pii/S2949867823000405Vibration detectionSoftware developmentModal identificationDamage identificationNumerical verification |
| spellingShingle | Jiahuan Li Li Zhu Wenyu Ji Sunfeng You Development of a software platform for bridge modal and damage identification based on ambient excitation High-Speed Railway Vibration detection Software development Modal identification Damage identification Numerical verification |
| title | Development of a software platform for bridge modal and damage identification based on ambient excitation |
| title_full | Development of a software platform for bridge modal and damage identification based on ambient excitation |
| title_fullStr | Development of a software platform for bridge modal and damage identification based on ambient excitation |
| title_full_unstemmed | Development of a software platform for bridge modal and damage identification based on ambient excitation |
| title_short | Development of a software platform for bridge modal and damage identification based on ambient excitation |
| title_sort | development of a software platform for bridge modal and damage identification based on ambient excitation |
| topic | Vibration detection Software development Modal identification Damage identification Numerical verification |
| url | http://www.sciencedirect.com/science/article/pii/S2949867823000405 |
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