Reliability analysis based on gradient and heuristic optimization techniques of composite laminates using element-free Galerkin method

Abstract

-This work presents a reliability methodology that couples gradient and heuristic based reliability methods with element-free Galerkin method applied in composite laminates structures. First and second order reliability methods are the gradient based reliability methods. The heuristic based reliability method suggested by authors uses natured-inspired optimization method: genetic algorithms. Numerical examples on linear elasticity that involve random properties of laminated composite plates are presented in order to demonstrate the efficiency, capacity and robustness of the proposed methodology. The results show that the predicted reliability levels are accurate in comparison with similar approach that uses finite element analysis to evaluate implicit limit state functions.

Comparison Study of Different Reliability-Based Design Optimization Approaches

“…Generally, the objective of the RBDO model is to help design of structures which should be both economic and reliable where the solution reduces the structural weight in uncritical regions. It does not only provide an improved design but also a higher level of confidence in the design [4].…”

Optimization and Identification of the Characteristics of an Hydroformed Structures

“…Many experimental studies of asymmetric hydroforming tube have been examined [8][9][10][11][12]. Theoretical models have been constructed to show the hydroforming limits, the material and the process parameters influence on the formability of tube without failure (buckling and fracture) [10,11,13,14,15]. Due to the complexity of the process, theoretical studies up to date have produced a relatively limited results corresponding the failure prediction.…”