Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
Vertex method for computing functions of fuzzy variables
Fuzzy Sets and Systems
Advances in the Dempster-Shafer theory of evidence
Advances in the Dempster-Shafer theory of evidence
Uncertainty-Based Information: Elements of Generalized Information Theory
Uncertainty-Based Information: Elements of Generalized Information Theory
Structural reliability assessment based on probability and convex set mixed model
Computers and Structures
Comparative study of metamodeling techniques for reliability analysis using evidence theory
Advances in Engineering Software
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Evidence theory employs a much more general and flexible framework to quantify the epistemic uncertainty, and thereby it is adopted to conduct reliability analysis for engineering structures recently. However, the large computational cost caused by its discrete property significantly influences the practicability of evidence theory. This paper proposes an efficient response surface (RS) method to evaluate the reliability for structures using evidence theory, and hence improves its applicability in engineering problems. A new design of experiments technique is developed, whose key issue is the search of the important control points. These points are the intersections of the limit-state surface and the uncertainty domain, thus they have a significant contribution to the accuracy of the subsequent established RS. Based on them, a high precise radial basis functions RS to the actual limit-state surface is established. With the RS, the reliability interval can be efficiently computed for the structure. Four numerical examples are investigated to demonstrate the effectiveness of the proposed method.