Geotechnical reliability‐based design optimization updating under changing design scenarios

• Published in: International journal for numerical and analytical methods in geomechanics Vol. 48; no. 5; pp. 1413 - 1432
• Main Authors: Wang, Tao, Ji, Jian
• Format: Journal Article
• Language: English
• Published: Bognor Regis Wiley Subscription Services, Inc 01.04.2024
• Subjects: Correlation coefficient; Correlation coefficients; Design; Design optimization; failure probability; low‐discrepancy samplings; Parameter uncertainty; Parameters; Reliability; reliability updating; reliability‐based design optimization (RBDO); sample reweighting; slope stability; Structural reliability
• ISSN: 0363-9061; 1096-9853
• DOI: 10.1002/nag.3690

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.