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

Autor: Jie Wu, Quansheng Yan, Shiping Huang, Chao Zou, Jintu Zhong, Weifeng Wang
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Advances in Civil Engineering, Vol 2018 (2018)
Druh dokumentu: article
ISSN: 1687-8086
1687-8094
DOI: 10.1155/2018/8980756
Popis: 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.
Databáze: Directory of Open Access Journals
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