First and second order approximate reliability analysis methods using evidence theory

• Published in: Reliability engineering & system safety 2015-05, Vol.137, p.40-49
• Main Authors: Zhang, Z., Jiang, C., Wang, G.G., Han, X.
• Format: Article
• Language: English
• Subjects: Approximation; Computational efficiency; Epistemic uncertainty; Evidence theory; Farms; First order approximation; Frontal impact; Mathematical analysis; Reliability analysis; Reliability interval; Second order approximation; Structural reliability; Taylor series; Variability; Vehicles
• ISSN: 0951-8320; 1879-0836
• DOI: 10.1016/j.ress.2014.12.011

The first order approximate reliability method (FARM) and second order approximate reliability method (SARM) are formulated based on evidence theory in this paper. The proposed methods can significantly improve the computational efficiency for evidence-theory-based reliability analysis, while generally provide sufficient precision. First, the most probable focal element (MPFE), an important concept as the most probable point (MPP) in probability-theory-based reliability analysis, is searched using a uniformity approach. Subsequently, FARM approximates the limit-state function around the MPFE using the linear Taylor series, while SARM approximates it using the quadratic Taylor series. With the first and second order approximations, the reliability interval composed of the belief measure and the plausibility measure is efficiently obtained for FARM and SARM, respectively. Two simple problems with explicit expressions and one engineering application of vehicle frontal impact are presented to demonstrate the effectiveness of the proposed methods. •The first order approximate reliability method using evidence theory is proposed.•The second order approximate reliability method using evidence theory is proposed.•The proposed methods can significantly improve the computational efficiency.•The proposed methods can provide sufficient accuracy for general engineering problems.