Structural Damage Identification Based on Rough Sets and Artificial Neural Network

被引：1
|
作者：
Liu, Chengyin [1 ,2 ]
Wu, Xiang [3 ]
Wu, Ning [1 ]
Liu, Chunyu [1 ]
机构：
[1] Harbin Inst Technol, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China
[2] Southeast Univ, Key Lab C&PC Struct, Nanjing 211189, Jiangsu, Peoples R China
[3] Harbin Inst Technol, State Key Lab Robot & Syst, Harbin 150001, Peoples R China
来源：
SCIENTIFIC WORLD JOURNAL | 2014年
关键词：
D O I：
10.1155/2014/193284
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
This paper investigates potential applications of the rough sets (RS) theory and artificial neural network (ANN) method on structural damage detection. An information entropy based discretization algorithm in RS is applied for dimension reduction of the original damage database obtained from finite element analysis (FEA). The proposed approach is tested with a 14-bay steel truss model for structural damage detection. The experimental results show that the damage features can be extracted efficiently from the combined utilization of RS and ANN methods even the volume of measurement data is enormous and with uncertainties.
引用
收藏
页数：9
相关论文
共 50 条
  • [1] STRUCTURAL DAMAGE IDENTIFICATION METHOD BASED ON ROUGH SET AND PROBABILISTIC NEURAL NETWORK
    Jiang, Shao-Fei
    Yao, Juan
    [J]. PROCEEDINGS OF THE TENTH INTERNATIONAL SYMPOSIUM ON STRUCTURAL ENGINEERING FOR YOUNG EXPERTS, VOLS I AND II, 2008, : 1579 - 1584
  • [2] Constructing knowledge-based artificial neural network with rough sets
    Hang, XS
    Wang, ZY
    Xiong, FL
    [J]. KNOWLEDGE-BASED INTELLIGENT INFORMATION ENGINEERING SYSTEMS & ALLIED TECHNOLOGIES, PTS 1 AND 2, 2001, 69 : 266 - 272
  • [3] Research of artificial neural network algorithm based on fuzzy clustering of rough sets
    Chen, Yan
    Li, Taoying
    [J]. DCABES 2006 Proceedings, Vols 1 and 2, 2006, : 744 - 747
  • [4] The research on structural damage identification using rough set and integrated neural network
    Li J.
    Li H.
    Xing J.
    Yang Q.
    [J]. Frontiers of Mechanical Engineering, 2013, 8 (3) : 305 - 310
  • [5] Structural damage identification of high-rise buildings: An artificial neural network based hybrid procedure
    Nguyen, Quy Thue
    Livaoglu, Ramazan
    [J]. ENGINEERING FAILURE ANALYSIS, 2023, 150
  • [6] STATISTICAL VIBRATION BASED DAMAGE IDENTIFICATION USING ARTIFICIAL NEURAL NETWORK
    Bakhary, Norhisham
    [J]. JURNAL TEKNOLOGI, 2010, 52
  • [7] Simultaneous identification of structural damage and nonlinear hysteresis parameters by an evolutionary algorithm-based artificial neural network
    Ding, Zhenghao
    Li, Jun
    Hao, Hong
    [J]. INTERNATIONAL JOURNAL OF NON-LINEAR MECHANICS, 2022, 142
  • [8] Application of Rough Sets and Artificial Neural Network in Core Enterprise Performance Prediction
    Hu Jian
    Shi Chengdong
    [J]. PROCEEDINGS OF THE 27TH CHINESE CONTROL CONFERENCE, VOL 6, 2008, : 748 - 752
  • [9] Application of a mode shape derivative-based damage index in artificial neural network for structural damage identification in shear frame building
    Animesh Paral
    Dilip Kr. Singha Roy
    Amiya K. Samanta
    [J]. Journal of Civil Structural Health Monitoring, 2019, 9 : 411 - 423
  • [10] Application of a mode shape derivative-based damage index in artificial neural network for structural damage identification in shear frame building
    Paral, Animesh
    Roy, Dilip Kr. Singha
    Samanta, Amiya K.
    [J]. JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING, 2019, 9 (03) : 411 - 423
12345