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Intelligent model selection with updating parameters during staged excavation using optimization method
Yin-Fu Jin1; Zhen-Yu Yin1; Wan-Huan Zhou2; Xianfeng Liu3
2020-09
Source PublicationActa Geotechnica
ISSN1861-1125
Volume15Issue:9Pages:2473-2491
Abstract

Various constitutive models have been proposed, and previous studies focused on identifying parameters of specified models. To develop the smart construction, this paper proposes a novel optimization-based intelligent model selection procedure in which parameter identification is also performed during staged excavation. To conduct the model selection, a database of seven constitutive models accounting for isotropic or anisotropic yield surface, isotropic or anisotropic elasticity, or small strain stiffness for clayey soils is established, with each model numbered and deemed as one additional parameter for optimization. A newly developed real-coded genetic algorithm is adopted to evaluate the performance of simulation against field measurement. As the process of optimization goes on, the soil model exhibiting good performance during simulation survives from the database and model parameters are also optimized. For each excavation stage, with the selected model and optimized parameters, wall deflection and ground surface settlement of the subsequent unexcavated stage are predicted. The proposed procedure is repeated until the entire excavation is finished. This proposed procedure is applied to a real staged excavation with field data, which demonstrates its effectiveness and efficiency in engineering practice with highlighting the importance of anisotropic elasticity and small strain stiffness in simulating excavation. All results demonstrate that the current study has both academic significance and practical significance in providing an efficient and effective approach of adaptive optimization-based model selection with parameters updating in engineering applications.

KeywordClay Constitutive Relation Excavation Finite Element Method Optimization Parameter Identification
DOI10.1007/s11440-020-00936-6
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaEngineering
WOS SubjectEngineering, Geological
WOS IDWOS:000517450500003
PublisherSPRINGER HEIDELBERG, TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
Scopus ID2-s2.0-85079769735
Fulltext Access
FWCI2.576199
Citation statistics
Cited Times [WOS]:23   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionFaculty of Science and Technology
THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING
Corresponding AuthorZhen-Yu Yin
Affiliation1.Department of Civil and Environmental Engineering,The Hong Kong Polytechnic University,Kowloon,Hung Hom,China
2.State Key Laboratory of Internet of Things for Smart City and Department of Civil and Environmental Engineering,University of Macau,Zhuhai,China
3.Key Laboratory of High-Speed Railway Engineering of Ministry of Education,School of Civil Engineering,Southwest Jiaotong University,Chengdu,China
Recommended Citation
GB/T 7714
Yin-Fu Jin,Zhen-Yu Yin,Wan-Huan Zhou,et al. Intelligent model selection with updating parameters during staged excavation using optimization method[J]. Acta Geotechnica,2020,15(9):2473-2491.
APA Yin-Fu Jin,Zhen-Yu Yin,Wan-Huan Zhou,&Xianfeng Liu.(2020).Intelligent model selection with updating parameters during staged excavation using optimization method.Acta Geotechnica,15(9),2473-2491.
MLA Yin-Fu Jin,et al."Intelligent model selection with updating parameters during staged excavation using optimization method".Acta Geotechnica 15.9(2020):2473-2491.
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