Abstract: Aiming at the problem of computational inefficiency of traditional reliability analysis methods when dealing with large-scale structural systems, this paper proposes a reliability analysis ...

The growth of the global wind energy sector is undisputable with 215GW of installed capacity as of June 2011 (over 100 times the installed capacity of 1990). As the industry strives to innovate by ...

The aim of the module is to enable students to understand the fundamental principles of structural reliability, to have an appreciation of some advanced aspects and to demonstrate their application ...

Abstract: Due to a lack of complete information, epistemic uncertainty widely exists in engineering structures and mechanical systems. Evidence theory, which has a general and flexible framework, has ...

ABSTRACT: Parametric uncertainties should always be considered when setting design criteria in order to ensure safe and cost effective design of engineered structures. This paper presents the results ...

This webinar introduces methods to assess structural fragility and map system reliability at the community scale using real-world data and MBNpy, an open-source tool for system reliability analysis.

Sometimes structural loads are excessively high, and a decision must be made if intervention, either removal of the excess load or strengthening of the structure, is needed. This issue was addressed ...

PARANSYS (Python pArametric Reliability Analysis on ANSYS) is a module that can connect the ANSYS software to Python scripts using APDL scripts. It has one connection class and two other classes for ...

The FERUM (Finite Element Reliability Using Matlab) project was initiated in 1999 at the University of California, Berkeley, by Terje Haukaas and Armen Der Kiureghian, primarily for pedagogical ...