Finite Element Model Updating in Bridge Structures Using Kriging Model and Latin Hypercube Sampling Method

被引：20
|
作者：
Wu, Jie [1 ]
Yan, Quansheng [1 ]
Huang, Shiping [1 ,2 ]
Zou, Chao [3 ]
Zhong, Jintu [1 ]
Wang, Weifeng [1 ]
机构：
[1] South China Univ Technol, Sch Civil Engn & Transportat, Guangzhou 510640, Guangdong, Peoples R China
[2] China Univ Min & Technol, State Key Lab Coal Resources & Safe Min, Xuzhou 221116, Jiangsu, Peoples R China
[3] Guangdong Univ Technol, Sch Civil & Transportat Engn, Guangzhou 510006, Guangdong, Peoples R China
来源：
ADVANCES IN CIVIL ENGINEERING | 2018年 / 2018卷
基金：
中国国家自然科学基金;
关键词：
RELIABILITY-ANALYSIS; DESIGNS;
D O I：
10.1155/2018/8980756
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
Computational cost reduction and best model updating method seeking are the key issues during model updating for different kinds of bridges. This paper presents a combined method, Kriging model and Latin hypercube sampling method, for finite element (FE) model updating. For FE model updating, the Kriging model is serving as a surrogate model, and it is a linear unbiased minimum variance estimation to the known data in a region which have similar features. To predict the relationship between the structural parameters and responses, samples are preselected, and then Latin hypercube sampling (LHS) method is applied. To verify the proposed algorithm, a truss bridge and an arch bridge are analyzed. Compared to the predicted results obtained by using a genetic algorithm, the proposed method can reduce the computational time without losing the accuracy.
引用
收藏
页数：11
相关论文
共 50 条
  • [1] Updating the finite element model of bridge structures by an improved Taguchi updating method
    Liu, Y.
    Li, H.
    Duan, Z.
    Yao, Y.
    [J]. BRIDGE MAINTENANCE, SAFETY, MANAGEMENT AND LIFE-CYCLE OPTIMIZATION, 2010, : 795 - +
  • [2] Finite element model updating of a bridge using ambient vibration measurements with an improved adaptive kriging model
    Qin, Shiqiang
    Han, Shuo
    Liao, Sipeng
    Zhou, Yunlai
    [J]. ENGINEERING OPTIMIZATION, 2024,
  • [3] A Kriging Model Based Finite Element Model Updating Method for Damage Detection
    Yang, Xiuming
    Guo, Xinglin
    Ouyang, Huajiang
    Li, Dongsheng
    [J]. APPLIED SCIENCES-BASEL, 2017, 7 (10):
  • [4] Swarm Intelligent Optimization Conjunction with Kriging Model for Bridge Structure Finite Element Model Updating
    Wu, Jie
    Cheng, Fan
    Zou, Chao
    Zhang, Rongtang
    Li, Cong
    Huang, Shiping
    Zhou, Yu
    [J]. BUILDINGS, 2022, 12 (05)
  • [5] Model Updating in Complex Bridge Structures using Kriging Model Ensemble with Genetic Algorithm
    Shiqiang Qin
    Yun-Lai Zhou
    Hongyou Cao
    Magd Abdel Wahab
    [J]. KSCE Journal of Civil Engineering, 2018, 22 : 3567 - 3578
  • [6] Model Updating in Complex Bridge Structures using Kriging Model Ensemble with Genetic Algorithm
    Qin, Shiqiang
    Zhou, Yun-Lai
    Cao, Hongyou
    Wahab, Magd Abdel
    [J]. KSCE JOURNAL OF CIVIL ENGINEERING, 2018, 22 (09) : 3567 - 3578
  • [7] Kriging Surrogate Model for Resonance Frequency Analysis of Dental Implants by a Latin Hypercube-Based Finite Element Method
    Chu, Liu
    Shi, Jiajia
    de Cursi, Eduardo Souza
    [J]. APPLIED BIONICS AND BIOMECHANICS, 2019, 2019
  • [8] Finite element model updating of long-span cable-stayed bridge by Kriging surrogate model
    Zhang, Jing
    Au, Francis T. K.
    Yang, Dong
    [J]. STRUCTURAL ENGINEERING AND MECHANICS, 2020, 74 (02) : 157 - 173
  • [9] Finite Element Model Updating of a Steel Pedestrian Bridge Model
    Dong, Xinjun
    Wang, Yang
    [J]. COMPUTING IN CIVIL ENGINEERING 2019: SMART CITIES, SUSTAINABILITY, AND RESILIENCE, 2019, : 397 - 404
  • [10] Model updating of a historic concrete bridge by sensitivity- and global optimization-based Latin Hypercube Sampling
    Ferrari, Rosalba
    Froio, Diego
    Rizzi, Egidio
    Gentile, Carmelo
    Chatzi, Eleni N.
    [J]. ENGINEERING STRUCTURES, 2019, 179 : 139 - 160
12345