Homogenization of spatially variable hydraulic conductivity in the presence of a geotechnical structure

Ching, Jianye; Chen, Zhiyu; Phoon, Kok‐Kwang

doi:10.1016/j.compgeo.2023.105255

Cited by 3 publications

(3 citation statements)

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“…Uncertain characterizations are inevitably encountered in the safety design of geotechnical structures. 1,2 In traditional practice, deterministic geotechnical design optimization takes uncertain parameters into account through the use of empirical safety factors. Nonetheless, these safety factor-based methods invariably engender over-designed geotechnical structures and cannot be directly explained with uncertainties being observed in site.…”

Section: Introductionmentioning

confidence: 99%

“…[3][4][5] Compared with deterministic design optimization, the reliability-based design optimization (RBDO) necessitates an additional algorithm to evaluate the reliability constraints that are contingent upon the specific limit state functions (LSFs) and random variables. In recent decades, various RBDO methods have been innovatively developed, and these can be systematically classified into three primary categories 6 : (1) The two-level approaches, such as the reliability index approach (RIA) 7,8 and performance measure approach (PMA). 9,10 These approaches involve nested problems to consider the reliability constraints within the optimization loop, where the inner loop focuses on reliability analysis and the outer loop handles objective function optimization.…”

Section: Introductionmentioning

confidence: 99%

“…Uncertain characterizations are inevitably encountered in the safety design of geotechnical structures 1,2 . In traditional practice, deterministic geotechnical design optimization takes uncertain parameters into account through the use of empirical safety factors.…”

Section: Introductionmentioning

confidence: 99%

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Geotechnical reliability‐based design optimization updating under changing design scenarios

Wang,

2024

Num Anal Meth Geomechanics

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In the context of geotechnical uncertainty characterization, the reliability‐based design optimization (RBDO) provides an effective means to achieve the most balanced design outcome between the targeted safety and the risk‐based cost planning. As a common practice, the geotechnical RBDO is conducted on the premise of prescribed statistical information of those uncertain parameters. Nevertheless, the uncertain geotechnical parameters are usually subject to amendment resulting from further site investigation. In other words, changing design scenarios must be properly handled in advanced geotechnical RBDO. Thus, in this study, a novel reliability updating method using a sample reweighting technique that requires only a single simulation run is developed for RBDO. Simultaneously, the RBDO is readily extendable to RBDO updating under changing design scenarios while avoiding any further re‐evaluation of the performance functions. The proposed RBDO updating method allows for the consideration of a continuous design space encompassing an infinite number of feasible designs, whereas the existing simulation‐based method can only consider a finite number of feasible designs in a discrete design space. Moreover, the efficiency and flexibility of the proposed RBDO updating method are illustrated through a standard RBDO test problem and a practical rock slope design example, where the changing design scenarios of different means, standard deviations, correlation coefficient, and distributions are respectively studied.

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Section: Introductionmentioning

confidence: 99%