A Particle Swarm Optimization Algorithm with Sigmoid Increasing Inertia Weight for Structural Damage Identification

被引：5
|
作者：
Chen, Zhen [1 ,2 ]
Wang, Yaru [1 ]
Chan, Tommy H. T. [2 ]
Li, Xiaoke [1 ]
Zhao, Shunbo [1 ,3 ]
机构：
[1] North China Univ Water Resources & Elect Power, Sch Civil Engn & Commun, Zhengzhou 450045, Peoples R China
[2] Queensland Univ Technol QUT, Sch Civil & Environm Engn, Brisbane, Qld 4000, Australia
[3] North China Univ Water Resources & Elect Power, Collaborat Innovat Ctr Efficient Utilizat Water R, Zhengzhou 450046, Peoples R China
来源：
APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 07期
基金：
中国国家自然科学基金;
关键词：
structural damage identification; particle swarm optimization; inertia weight; identification accuracy; ADAPTATION;
D O I：
10.3390/app12073429
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
In this study, a particle swarm optimization with a sigmoid increasing inertia weight (SIPSO) algorithm is proposed for structural damage identification based on the optimization of structural vibration response constraints. In view of the existing problems for particle swarm optimization algorithms used for structural damage identification, such as low accuracy of damage identification and easy misjudgment of damage location, the sigmoid increasing inertia weight is introduced to improve the global and local search ability of the algorithm. Simulation results show that the parameters of the sigmoid increasing inertia weight have a significant effect on the performance of the SIPSO algorithm for structural damage identification. Compared with similar improved particle swarm optimization algorithms, the SIPSO algorithm has some advantages of fast convergence speed, high identification accuracy, and strong robustness ability in structural damage identification.
引用
收藏
页数：20
相关论文
共 50 条
  • [21] An Improved Particle Swarm Optimization Algorithm Based on Centroid and Exponential Inertia Weight
    Chen, Shouwen
    Xu, Zhuoming
    Tang, Yan
    Liu, Shun
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 2014
  • [22] A novel particle swarm optimization algorithm with self-adaptive inertia weight
    Zhang Xueliang
    Wen Shuhua
    Li Hainan
    Liu Shuyang
    Wu Meixian
    Wang Jiaying
    PROCEEDINGS OF THE 24TH CHINESE CONTROL CONFERENCE, VOLS 1 AND 2, 2005, : 1373 - 1376
  • [23] A new particle swarm optimization algorithm with random inertia weight and evolution strategy
    Gao Yue-lin
    Duan Yu-hong
    CIS WORKSHOPS 2007: INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY WORKSHOPS, 2007, : 199 - +
  • [24] A Kind of Decay-Curve Inertia Weight Particle Swarm Optimization Algorithm
    Sun, Yan
    Zhu, Shishun
    Li, Qiang
    Zhu, Daowei
    Luo, Shujun
    INTELLIGENT COMPUTING AND INFORMATION SCIENCE, PT I, 2011, 134 (0I): : 402 - +
  • [25] An Adaptive Inertia Weight Particle Swarm Optimization Algorithm for IIR Digital Filter
    Yu, Xia
    Liu, Jianchang
    Li, Hongru
    2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL I, PROCEEDINGS, 2009, : 114 - 118
  • [26] A solution to particle swarm optimization algorithm with adaptive inertia weight for unit commitment
    Chang, Wen-Ping
    Yu, Hai
    Hua, Da-Peng
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2009, 37 (15): : 15 - 18
  • [27] A Node Localization Algorithm Based on Adaptive Inertia Weight Particle Swarm Optimization
    Wei, Yehua
    Wu, Wenkang
    SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS, PTS 1-4, 2013, 303-306 : 302 - +
  • [28] Particle swarm optimization algorithm with exponent decreasing inertia weight and stochastic mutation
    Li, Hui-Rong
    Gao, Yue-Lin
    ICIC 2009: SECOND INTERNATIONAL CONFERENCE ON INFORMATION AND COMPUTING SCIENCE, VOL 1, PROCEEDINGS: COMPUTING SCIENCE AND ITS APPLICATION, 2009, : 66 - +
  • [29] Self-active inertia weight strategy in particle swarm optimization algorithm
    Chen, Guimin
    Min, Zhengfeng
    Jia, Jianyuan
    Huang, Xinbo
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 3686 - +
  • [30] A new Particle Swarm Optimization Algorithm based on Periodic Changing Inertia Weight
    Zheng, Mingyan
    Wang, Siyan
    Li, Yan
    PROCEEDINGS OF THE 2016 JOINT INTERNATIONAL INFORMATION TECHNOLOGY, MECHANICAL AND ELECTRONIC ENGINEERING, 2016, 59 : 234 - 238
12345