Suspension Bridge Damage Identification Based on Wavelet and Artificial Bee Colony Algorithm

Guan Deqing; Tang Zhou; Zhang Jiawei; Bai Yuanwei

doi:doi:

| Peer-Reviewed

Suspension Bridge Damage Identification Based on Wavelet and Artificial Bee Colony Algorithm

Guan Deqing, Tang Zhou, Zhang Jiawei, Bai Yuanwei

Published in Asia-Pacific Journal of Traffic and Transportation Engineering (Volume 1, Issue 1)

Received: 7 January 2019 Accepted: 12 March 2019 Published: 13 April 2019

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

In this paper, based on the theory of wavelet singularity and artificial colony algorithm, combining the advantages of wavelet and artificial colony algorithm, a two-stage structure damage identification method based on wavelet artificial colony algorithm is proposed, and the problem of suspension bridge structure damage identification is studied. Through finite element modeling of suspension bridge structure, curvature mode was obtained by Lanczos method, and then the curvature mode was transformed by continuous wavelet transform to obtain the wavelet coefficient graph, where the maximum value of the modulus in the wavelet coefficient graph was the damage location of the structure. On the basis of damage location, constructing objective function based on the structural frequency and modal mode. The artificial bee algorithm have advantages of heuristic search strategy, global optimization and local search to identify the damage degree of suspension bridge structure. Through the numerical simulation analysis of a suspension bridge structure, the results show that the method can accurately and effectively identify the damage location and degree of the suspension bridge structure, and provide reference for the engineering application of the damage identification of the suspension bridge structure.

Published in	Asia-Pacific Journal of Traffic and Transportation Engineering (Volume 1, Issue 1)
Page(s)	1-6
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Structural Damage Identification, Wavelet Analysis, Artificial Colony Algorithm, Suspension Bridge, Curvature Modal

References

[1]	J.-C. Hong, Y. Y. Kim, H. C. Lee, Y. W. Lee. Damage detection using the Lipschitz exponent estimated by the wavelet transform: applications to vibration modes of a beam [J]. International Journal of Solids and Structures, 2002, 39(7).
[2]	K. M. Liew, Q. Wang. Application of wavelet analysis to theory for crack identification in beam structures [J]. Journal of Engineering Mechanics, 1998, 12(4):152-157.
[3]	管德清,廖俊文. 连续梁结构损伤识别的小波神经网络方法研究[J]. 中外公路, 2016, 36(01):136-139。
[4]	Deqing Guan，Li Jie，Chen Jun. Optimization method of wavelet neural network for suspension bridge damage identification [C], Advances in Intelligent Systems Research, 2016, 133: 194-197
[5]	孙鹏,丁幼亮,李爱群,邓扬. 利用Morlet小波变换识别悬索桥模型模态参数[J]. 振动.测试与诊断, 2012, 32(02):238-243+341-342。
[6]	Singh A. An artificial bee colony algorithm for the leaf-constrained minimum spanning tree problem[J]. Applied Soft Computing, 2009, 9(2):625-631.
[7]	KarabogaD, Korkemi B. A quick artificial bee colony(qABC) algorithm and its performance on optimization problems [J]. Applied Soft Computing, 2014, 23:227-238.
[8]	Okdem, S., Karaboga, D., Ozturk, C. Cluster based wireless sensor network routing using artificial bee colony algorithm [J]. Wireless Networks, 2012, 18(7):8 47-860.
[9]	Sadhan G, Tanmoy M. Contingency constraint corrective rescheduling with the presence of wind farm [C]. International Conference on Sustainable Energy and Intelligent Systems, 2011:137-142.
[10]	Mendoza AM, Botez R. Vertical navigation trajectory optimization algorithm for a commercial aircraft [J]. Aiiaas Aviation, 2013, 24(6):3361-3371.
[11]	丁政豪,吕中荣,刘济科. 基于多种搜索策略的人工蜂群算法的结构损伤识别[J].计算力学学报, 2016, 33(5):791-795。

Cite This Article

Plain Text BibTeX RIS

APA Style

Guan Deqing, Tang Zhou, Zhang Jiawei, Bai Yuanwei. (2019). Suspension Bridge Damage Identification Based on Wavelet and Artificial Bee Colony Algorithm. Asia-Pacific Journal of Traffic and Transportation Engineering, 1(1), 1-6.

Copy | Download

ACS Style

Guan Deqing; Tang Zhou; Zhang Jiawei; Bai Yuanwei. Suspension Bridge Damage Identification Based on Wavelet and Artificial Bee Colony Algorithm. Asia-Pac. J. Traffic Transp. Eng. 2019, 1(1), 1-6.

Copy | Download

AMA Style

Guan Deqing, Tang Zhou, Zhang Jiawei, Bai Yuanwei. Suspension Bridge Damage Identification Based on Wavelet and Artificial Bee Colony Algorithm. Asia-Pac J Traffic Transp Eng. 2019;1(1):1-6.

Copy | Download

@article{10036628,
  author = {Guan Deqing and Tang Zhou and Zhang Jiawei and Bai Yuanwei},
  title = {Suspension Bridge Damage Identification Based on Wavelet and Artificial Bee Colony Algorithm},
  journal = {Asia-Pacific Journal of Traffic and Transportation Engineering},
  volume = {1},
  number = {1},
  pages = {1-6},
  url = {https://www.sciencepublishinggroup.com/article/10036628},
  abstract = {In this paper, based on the theory of wavelet singularity and artificial colony algorithm, combining the advantages of wavelet and artificial colony algorithm, a two-stage structure damage identification method based on wavelet artificial colony algorithm is proposed, and the problem of suspension bridge structure damage identification is studied. Through finite element modeling of suspension bridge structure, curvature mode was obtained by Lanczos method, and then the curvature mode was transformed by continuous wavelet transform to obtain the wavelet coefficient graph, where the maximum value of the modulus in the wavelet coefficient graph was the damage location of the structure. On the basis of damage location, constructing objective function based on the structural frequency and modal mode. The artificial bee algorithm have advantages of heuristic search strategy, global optimization and local search to identify the damage degree of suspension bridge structure. Through the numerical simulation analysis of a suspension bridge structure, the results show that the method can accurately and effectively identify the damage location and degree of the suspension bridge structure, and provide reference for the engineering application of the damage identification of the suspension bridge structure.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Suspension Bridge Damage Identification Based on Wavelet and Artificial Bee Colony Algorithm
AU  - Guan Deqing
AU  - Tang Zhou
AU  - Zhang Jiawei
AU  - Bai Yuanwei
Y1  - 2019/04/13
PY  - 2019
T2  - Asia-Pacific Journal of Traffic and Transportation Engineering
JF  - Asia-Pacific Journal of Traffic and Transportation Engineering
JO  - Asia-Pacific Journal of Traffic and Transportation Engineering
SP  - 1
EP  - 6
PB  - Science Publishing Group
UR  - http://www.sciencepg.com/article/10036628
AB  - In this paper, based on the theory of wavelet singularity and artificial colony algorithm, combining the advantages of wavelet and artificial colony algorithm, a two-stage structure damage identification method based on wavelet artificial colony algorithm is proposed, and the problem of suspension bridge structure damage identification is studied. Through finite element modeling of suspension bridge structure, curvature mode was obtained by Lanczos method, and then the curvature mode was transformed by continuous wavelet transform to obtain the wavelet coefficient graph, where the maximum value of the modulus in the wavelet coefficient graph was the damage location of the structure. On the basis of damage location, constructing objective function based on the structural frequency and modal mode. The artificial bee algorithm have advantages of heuristic search strategy, global optimization and local search to identify the damage degree of suspension bridge structure. Through the numerical simulation analysis of a suspension bridge structure, the results show that the method can accurately and effectively identify the damage location and degree of the suspension bridge structure, and provide reference for the engineering application of the damage identification of the suspension bridge structure.
VL  - 1
IS  - 1
ER  -

Copy | Download

Author Information

Guan Deqing

School of Civil Engineering, Changsha University of Science & Technology, Changsha, china
Tang Zhou

School of Civil Engineering, Changsha University of Science & Technology, Changsha, china
Zhang Jiawei

School of Civil Engineering, Changsha University of Science & Technology, Changsha, china
Bai Yuanwei

School of Civil Engineering, Changsha University of Science & Technology, Changsha, china

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Guan Deqing, Tang Zhou, Zhang Jiawei, Bai Yuanwei. (2019). Suspension Bridge Damage Identification Based on Wavelet and Artificial Bee Colony Algorithm. Asia-Pacific Journal of Traffic and Transportation Engineering, 1(1), 1-6.

Copy | Download

ACS Style

Guan Deqing; Tang Zhou; Zhang Jiawei; Bai Yuanwei. Suspension Bridge Damage Identification Based on Wavelet and Artificial Bee Colony Algorithm. Asia-Pac. J. Traffic Transp. Eng. 2019, 1(1), 1-6.

Copy | Download

AMA Style

Guan Deqing, Tang Zhou, Zhang Jiawei, Bai Yuanwei. Suspension Bridge Damage Identification Based on Wavelet and Artificial Bee Colony Algorithm. Asia-Pac J Traffic Transp Eng. 2019;1(1):1-6.

Copy | Download

@article{10036628,
  author = {Guan Deqing and Tang Zhou and Zhang Jiawei and Bai Yuanwei},
  title = {Suspension Bridge Damage Identification Based on Wavelet and Artificial Bee Colony Algorithm},
  journal = {Asia-Pacific Journal of Traffic and Transportation Engineering},
  volume = {1},
  number = {1},
  pages = {1-6},
  url = {https://www.sciencepublishinggroup.com/article/10036628},
  abstract = {In this paper, based on the theory of wavelet singularity and artificial colony algorithm, combining the advantages of wavelet and artificial colony algorithm, a two-stage structure damage identification method based on wavelet artificial colony algorithm is proposed, and the problem of suspension bridge structure damage identification is studied. Through finite element modeling of suspension bridge structure, curvature mode was obtained by Lanczos method, and then the curvature mode was transformed by continuous wavelet transform to obtain the wavelet coefficient graph, where the maximum value of the modulus in the wavelet coefficient graph was the damage location of the structure. On the basis of damage location, constructing objective function based on the structural frequency and modal mode. The artificial bee algorithm have advantages of heuristic search strategy, global optimization and local search to identify the damage degree of suspension bridge structure. Through the numerical simulation analysis of a suspension bridge structure, the results show that the method can accurately and effectively identify the damage location and degree of the suspension bridge structure, and provide reference for the engineering application of the damage identification of the suspension bridge structure.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Suspension Bridge Damage Identification Based on Wavelet and Artificial Bee Colony Algorithm
AU  - Guan Deqing
AU  - Tang Zhou
AU  - Zhang Jiawei
AU  - Bai Yuanwei
Y1  - 2019/04/13
PY  - 2019
T2  - Asia-Pacific Journal of Traffic and Transportation Engineering
JF  - Asia-Pacific Journal of Traffic and Transportation Engineering
JO  - Asia-Pacific Journal of Traffic and Transportation Engineering
SP  - 1
EP  - 6
PB  - Science Publishing Group
UR  - http://www.sciencepg.com/article/10036628
AB  - In this paper, based on the theory of wavelet singularity and artificial colony algorithm, combining the advantages of wavelet and artificial colony algorithm, a two-stage structure damage identification method based on wavelet artificial colony algorithm is proposed, and the problem of suspension bridge structure damage identification is studied. Through finite element modeling of suspension bridge structure, curvature mode was obtained by Lanczos method, and then the curvature mode was transformed by continuous wavelet transform to obtain the wavelet coefficient graph, where the maximum value of the modulus in the wavelet coefficient graph was the damage location of the structure. On the basis of damage location, constructing objective function based on the structural frequency and modal mode. The artificial bee algorithm have advantages of heuristic search strategy, global optimization and local search to identify the damage degree of suspension bridge structure. Through the numerical simulation analysis of a suspension bridge structure, the results show that the method can accurately and effectively identify the damage location and degree of the suspension bridge structure, and provide reference for the engineering application of the damage identification of the suspension bridge structure.
VL  - 1
IS  - 1
ER  -

Copy | Download