Establishment of non-negative constraint method as a robust and efficient first-order reliability method

Abstract

• Two iterative robust and efficient reliability methods are proposed. • Proposed methods employ a non-negative constraint and its Taylor approximations. • This constraint helps to determine effective search direction and step size. • Applying this alternative constraint in the whole process works in nonlinear cases . In structural reliability analysis, computation of reliability index or probability of failure is the main purpose. The Hasofer–Lind and Rackwitz–Fiessler (HL-RF) method is a widely used method in the category of first-order reliability methods (FORM). However, this method cannot be trusted for highly nonlinear limit state functions. Two proposed methods of this paper replace the original real valued constraint of FORM with a non-negative constraint, in all steps and during the whole procedure. First, the non-negative constraint is directly used to construct a non-negative Lagrange function and a search direction vector. Then, the first- and second-order Taylor approximation of the non-negative constraint are employed to compute step sizes of the first and second proposed methods, respectively. Contribution of the non-negative constraint and the effective approach of determining step sizes have led to the efficient computation of reliability index in nonlinear problems. The robustness and efficiency of two proposed methods are shown in various mathematical and structural examples of the literature.