Fracture and Structural Integrity e-ISSN 1971-8993 Open access
Structural Integrity and Durability of Structures Vol. 17, No. 65 (2023)

Structural Health Evaluation of Arch Bridge by Field Test and Optimized BPNN Algorithm

Author and affiliation details
  • Zhihua Xiong Corresponding author College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China ORCID iD0000-0001-8796-1004 xiongzhihua_2013@126.com
  • Jiachen She College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
  • Zhuoxi Liang College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
  • Xulin Mou College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
  • Yu Zhang College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, Zhejiang 310058, China
DOI
10.3221/IGF-ESIS.65.11
Pages
160-177
Published
Licence
CC BY 4.0
Published inVol. 17, No. 65 (2023)Go to the issue

Abstract

Arch bridges play an important role in rural roads in China. Due to insufficient funds and a lack of management techniques, many rural arch bridges are in a state of disrepair, unable to meet the increasing transportation needs. Thus, it is of great significance to develop a set of rapid and economic damage identification procedures for the management and maintenance of old arch bridges. Sanliushui Bridge, located in Chenggu County, Hanzhong, is selected as a model case. Field tests and numerical simulations were carried out to identify the damage states of Sanliushui Bridge. The sum square of wavelet packet energy change rate, a damage identification index based on wavelet packet analysis method was implemented to process the measured data of the load test and the simulated data of the numerical calculation model with assumed damage. BPNN, GA-BPNN, PSO-BPNN and test data analysis are adopted to compare the measured data with the simulated data to quantitatively identify the damage degree of the selected bridge. By comparing the results of the two methods mentioned above, it is found that the proposed damage identification approach realized a precise damage identification of the selected arch bridges.

Keywords

Article history

  1. ReceivedUntil the next stage: 44 days
  2. Revision requestedUntil the next stage: 27 days
  3. RevisedUntil the next stage: 24 days
  4. AcceptedUntil the next stage: 26 days
  5. Published

Statements

Funding

Science and Technology Project of Department of Transport of Shaanxi Province (22-23K); Innovation and Entrepreneurship Training Program for College Students Research on Structural State and Degradation Mechanism of Stone Arch Bridges on Rural Roads (S20210712534)

How to cite

APA

Xiong, Z., She, J., Liang, Z., Mou, X., & Zhang, Y. (2023). Structural Health Evaluation of Arch Bridge by Field Test and Optimized BPNN Algorithm. Fracture and Structural Integrity, 17(65), 160–177. https://doi.org/10.3221/IGF-ESIS.65.11

IEEE

Z. Xiong, J. She, Z. Liang, X. Mou, and Y. Zhang, “Structural Health Evaluation of Arch Bridge by Field Test and Optimized BPNN Algorithm,” Fracture and Structural Integrity, vol. 17, no. 65, pp. 160–177, 2023, doi: 10.3221/IGF-ESIS.65.11.

MLA

Xiong, Zhihua, et al. “Structural Health Evaluation of Arch Bridge by Field Test and Optimized BPNN Algorithm.” Fracture and Structural Integrity, vol. 17, no. 65, 2023, pp. 160–177. https://doi.org/10.3221/IGF-ESIS.65.11.

Chicago

Xiong, Zhihua, Jiachen She, Zhuoxi Liang, Xulin Mou, and Yu Zhang. 2023. “Structural Health Evaluation of Arch Bridge by Field Test and Optimized BPNN Algorithm.” Fracture and Structural Integrity 17 (65): 160–177. https://doi.org/10.3221/IGF-ESIS.65.11.

Harvard

Xiong, Z., She, J., Liang, Z., Mou, X. and Zhang, Y. (2023) ‘Structural Health Evaluation of Arch Bridge by Field Test and Optimized BPNN Algorithm’, Fracture and Structural Integrity, 17(65), pp. 160–177. doi: 10.3221/IGF-ESIS.65.11.

Vancouver

Xiong Z, She J, Liang Z, Mou X, Zhang Y. Structural Health Evaluation of Arch Bridge by Field Test and Optimized BPNN Algorithm. Fracture and Structural Integrity. 2023;17(65):160-177. doi:10.3221/IGF-ESIS.65.11

BibTeX

@article{xiong2023, author = {Xiong, Zhihua and She, Jiachen and Liang, Zhuoxi and Mou, Xulin and Zhang, Yu}, title = {Structural Health Evaluation of Arch Bridge by Field Test and Optimized BPNN Algorithm}, journal = {Fracture and Structural Integrity}, year = {2023}, volume = {17}, number = {65}, pages = {160--177}, doi = {10.3221/IGF-ESIS.65.11}, url = {https://doi.org/10.3221/IGF-ESIS.65.11}, issn = {1971-8993} }

RIS

TY - JOUR AU - Xiong, Zhihua AU - She, Jiachen AU - Liang, Zhuoxi AU - Mou, Xulin AU - Zhang, Yu TI - Structural Health Evaluation of Arch Bridge by Field Test and Optimized BPNN Algorithm JO - Fracture and Structural Integrity T2 - Fracture and Structural Integrity PY - 2023 DA - 2023/06/22 VL - 17 IS - 65 SP - 160 EP - 177 DO - 10.3221/IGF-ESIS.65.11 UR - https://doi.org/10.3221/IGF-ESIS.65.11 SN - 1971-8993 ER -

Licence

Creative Commons Attribution 4.0 International

May be shared and adapted, provided appropriate credit is given. Copyright © 2023 Zhihua Xiong, Jiachen She, Zhuoxi Liang, Xulin Mou, Yu Zhang.

Copyright 
Authors are allowed to retain both the copyright and the publishing rights of their articles without restrictions.  

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