Abstract: Design optimization problems are very common in engineering practice. Determining their solution may be challenging when many design variables are involved. A means to cope with such large number of design variables consists ...

Abstract: This work proposes a limit-state sensitivity index to identify the input variables of a structure or system which possess a significant impact on its state for the case where the input variables are subject to epistemic ...

Abstract: Spatial uncertainty is a critical challenge in many engineering fields. To date, probabilistic methods have been applied to describe the uncertainty of engineering parameters with considerable achievements. However, they ...

Abstract: Resilience analysis of civil structures and infrastructure systems is a powerful approach to quantifying an object’s ability to prepare for, recover from, and adapt to disruptive events. The resilience is typically measured ...

Abstract: This paper presents a highly efficient approach for bounding the responses and probability of failure of nonlinear models subjected to imprecisely defined stochastic Gaussian loads. Typically, such computations involve ...