Multi-objective optimization-based updating of predictions during excavation
In this paper, an efficient multi-objective optimization (MOOP)-based updating framework is established, which involves (1) the development of an enhanced multi-objective differential evolution algorithm with good searching ability and high convergence speed, (2) the development of an enhanced aniso...
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| Vydané v: | Engineering applications of artificial intelligence Ročník 78; s. 102 - 123 |
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| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Elsevier Ltd
01.02.2019
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| ISSN: | 0952-1976, 1873-6769 |
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| Abstract | In this paper, an efficient multi-objective optimization (MOOP)-based updating framework is established, which involves (1) the development of an enhanced multi-objective differential evolution algorithm with good searching ability and high convergence speed, (2) the development of an enhanced anisotropic elastoplastic model considering small-strain stiffness with its implementation into a finite element code, and (3) the proposal of an identification procedure for parameters using field measurements followed by an updating procedure. The proposed updating framework is verified with a well-documented excavation case where the small-strain stiffness, the anisotropy of elasticity, the anisotropy of yield surface for natural clays, and the parameters of the supporting structures and diaphragm wall are consecutively updated during the staged excavation process. The advantages of the proposed updating framework compared to the Bayesian updating on the same case are also illustrated. |
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| AbstractList | In this paper, an efficient multi-objective optimization (MOOP)-based updating framework is established, which involves (1) the development of an enhanced multi-objective differential evolution algorithm with good searching ability and high convergence speed, (2) the development of an enhanced anisotropic elastoplastic model considering small-strain stiffness with its implementation into a finite element code, and (3) the proposal of an identification procedure for parameters using field measurements followed by an updating procedure. The proposed updating framework is verified with a well-documented excavation case where the small-strain stiffness, the anisotropy of elasticity, the anisotropy of yield surface for natural clays, and the parameters of the supporting structures and diaphragm wall are consecutively updated during the staged excavation process. The advantages of the proposed updating framework compared to the Bayesian updating on the same case are also illustrated. |
| Author | Yin, Zhen-Yu Huang, Hong-Wei Zhou, Wan-Huan Jin, Yin-Fu |
| Author_xml | – sequence: 1 givenname: Yin-Fu surname: Jin fullname: Jin, Yin-Fu organization: Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong – sequence: 2 givenname: Zhen-Yu surname: Yin fullname: Yin, Zhen-Yu email: zhenyu.yin@polyu.edu.hk organization: Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong – sequence: 3 givenname: Wan-Huan surname: Zhou fullname: Zhou, Wan-Huan organization: Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Macau, China – sequence: 4 givenname: Hong-Wei surname: Huang fullname: Huang, Hong-Wei organization: Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education; Department of Geotechnical Engineering, College of Civil Engineering, Tongji University, Shanghai, 200092, China |
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