Abstract: Within the realm of structural reliability analysis, the uncertainties tied to resistance and loads are conventionally embodied as random variables possessing established cumulative distribution functions (CDFs). Nevertheless, ...

Abstract: The krill herd (KH) algorithm is widely used for optimizing truss structures as no gradient information is necessary, and only a few parameters require adjustment. However, when the truss structure becomes discrete and ...

Abstract: The distribution information of random variables is essential for reliability engineering analysis. Distribution characteristics are generally described by traditional central moments (C-moments). However, C-moments may ...

Abstract: AbstractSeismic fragility analysis of steel staggered truss framing (SSTF) structures is carried out in this study. Instead of artificially assuming certain distributions for seismic demand and capacity models as in general ...

Abstract: The distribution information of random variables is essential for reliability engineering analysis. Distribution characteristics are generally described by traditional central moments (C-moments). However, C-moments may ...

Abstract: AbstractThe method of moments (MoM) has been widely applied for reliability analysis, demonstrating both efficiency and accuracy for nonlinear and small failure probability problems. This contribution presents a method for ...

Abstract: The recent advancements in structural health monitoring technology are truly remarkable [1,2], with the utilization of sophisticated methods, such as finite element analysis [3], mathematical statistics [4], and artificial ...