Reliability-based robust geotechnical design of spread foundations using multi-objective genetic algorithm |
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| Institution: | 1. Glenn Department of Civil Engineering, Clemson University, Clemson, SC 29634, USA;2. National Central University, Jhongli City, Taoyuan County 32001, Taiwan, ROC;1. School of Civil Engineering and Architecture, Nanchang University, 999 Xuefu Road, Nanchang 330031, PR China;2. Engineering Risk Analysis Group, Technische Universität München, Arcisstr. 21, 80290 Munich, Germany;3. ARC Centre of Excellence for Geotechnical Science and Engineering, The University of Newcastle, NSW, Australia;4. Key Laboratory of Rock Mechanics in Hydraulic Structural Engineering (Ministry of Education), Wuhan University, 8 Donghu South Road, Wuhan 430072, PR China;1. Glenn Department of Civil Engineering, Clemson University, Clemson, SC 29634, United States;2. Department of Civil Engineering, National Central University, Taoyuan 320, Taiwan;3. Department of Civil and Environmental Engineering, National University of Singapore, Singapore 117576, Singapore;1. Key Lab of Ministry of Education for Geomechanics and Embankment Engineering, Hohai University, China;2. Department of Civil Engineering, Monash University, Australia;1. The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai, 201804, China;2. Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety, Tongji University, Shanghai, 201804, China;3. Reese Construction Management Program, Lamar University, Beaumont, TX 77710, USA |
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| Abstract: | This paper presents a new geotechnical design concept, called robust geotechnical design (RGD). The new design methodology seeks to achieve a certain level of design robustness, in addition to meeting safety and cost requirements. Here, a design is considered robust if the variation in the system response is insensitive to the variation of noise factors such as uncertain soil parameters and construction quality. When multiple objectives are considered, a single best design may not exist, and a trade-off may be necessary. In such a case, a genetic algorithm is adopted for multi-objective optimization and a Pareto Front, which describes a trade-off relationship between cost and robustness at a given safety level, is established. The new design methodology is illustrated with an example of spread foundation design. The significance of the RGD methodology is demonstrated. |
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