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Settlement-based cost optimization of geogrid-reinforced pile-supported foundation

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成果类型:
期刊论文
作者:
Chen, C.;Mao, F.;Zhang, G.*;Huang, J.;Zornberg, J. G.;...
通讯作者:
Zhang, G.
作者机构:
[Mao, F.; Chen, C.] Hunan Univ, Key Lab Bldg Safety & Energy Efficiency, Minist Educ, Changsha, Peoples R China.
[Mao, F.; Chen, C.] Hunan Univ, Coll Civil Engn, Changsha, Hunan, Peoples R China.
[Zhang, G.] Hunan City Univ, Coll Civil Engn, Yiyang, Hunan, Peoples R China.
[Huang, J.] Univ Texas San Antonio, Dept Civil & Environm Engn, San Antonio, TX USA.
[Zornberg, J. G.] Univ Texas Austin, Dept Civil Architectural & Environm Engn, Austin, TX 78712 USA.
通讯机构:
[Zhang, G.] H
Hunan City Univ, Coll Civil Engn, Yiyang, Hunan, Peoples R China.
语种:
英文
关键词:
Geosynthetics;surrogate modeling;post-construction settlement;cost optimization;Geogrid-Reinforced Pile-Supported Foundation
期刊:
Geosynthetics International
ISSN:
1072-6349
年:
2021
卷:
28
期:
5
页码:
541-557
基金类别:
This research was sponsored by National Key Research Plan of China (2016YFC0800200), Natural Science Foundations of China (51978254, 51908201), and Natural Science Foundations of Hunan Province (2019|JJ50150, 2020JJ5024). Their support is gratefully acknowledged.
机构署名:
本校为通讯机构
院系归属:
土木工程学院
摘要:
Cost optimization of Geogrid-Reinforced Pile-Supported Foundation (GRPSF) requires the minimum construction cost among all design alternatives within both ultimate limit state (ULS) and serviceability limit state (SLS) criteria. Usually, the optimization is conducted by selecting a limited number of design alternatives based on experience and then comparing them, which often does not lead to the real optimal design. This paper presents a novel optimization framework to systematically determine the design parameters to achieve the minimum constr...

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