期刊
RELIABILITY ENGINEERING & SYSTEM SAFETY
卷 242, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.ress.2023.109771
关键词
Random failure mechanism method; Optimal borehole placement; Soil spatial variability; Spatial averaging; Transitional Markov chain Monte Carlo
This paper proposes a framework for designing optimal borehole configurations for shallow foundation systems under undrained soil conditions. It minimizes the standard deviations of the bearing capacity to ensure performance. The method adopts a random failure mechanism for evaluating random bearing capacity and provides sensitivity information of the selected performance measure.
This contribution proposes a framework to identify optimal borehole configurations for the design of shallow foundation systems under undrained soil conditions. To this end, the minimization of a performance measure defined in terms of the bearing capacity standard deviations is considered. The random failure mechanism method is adopted for random bearing capacity evaluation, thereby enabling explicit treatment of soil spatial variability with tractable numerical efforts. A sampling-based optimization scheme is implemented to account for the non-smooth nature of the resulting objective function. The proposed framework provides non-trivial sensitivity information of the chosen performance measure as a byproduct of the solution process. Further, the method allows assessing the effect of increasing the number of soil soundings into bearing capacity standard deviations. Three cases involving different foundation layouts are studied to illustrate the capabilities of the approach. Numerical results suggest that the herein proposed framework can be potentially adopted as a supportive tool to determine optimal soil sounding strategies for the design of a practical class of civil engineering systems.
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