Reliability-based robust geotechnical design of spread foundations using multi-objective genetic algorithm

被引:84
作者
Juang, C. Hsein [1 ,2 ]
Wang, Lei [1 ]
机构
[1] Clemson Univ, Glenn Dept Civil Engn, Clemson, SC 29634 USA
[2] Natl Cent Univ, Jhongli 32001, Taoyuan County, Taiwan
基金
美国国家科学基金会;
关键词
Reliability; Uncertainty; Failure probability; Limit states; Optimization; Robust design; Spread foundations; LINE STRUCTURE FOUNDATIONS; OPTIMIZATION METHODS; MONTE-CARLO; RISK;
D O I
10.1016/j.compgeo.2012.10.003
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:96 / 106
页数:11
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