Inverse Response Surface Method in Reliability-Based Design

The paper introduces an inverse response surface method utilized when performing reliability-based design optimization of time-consuming problems. Proposed procedure is based on a coupling of the adaptive response surface method and the artificial neural network-based inverse reliability method. The validity and accuracy of the method is tested using examples with explicit nonlinear limit state functions. Obtained results as well as important aspects of the method are discussed.

Parameters Optimization of PVB Laminated Glass Based on Pedestrian Head Protection

In order to research the influence of the parameters of laminated windshield glass to pedestrian head injuries in vehicle-pedestrian accident, the adaptive response surface method (RSM) was utilized to optimize the key parameters of the laminated glass i.e. the elastic modulus, yield strength, density and the glass thickness, in which the pedestrian head injury criteria (HIC) and glass crack radius were setting as the objective function. A set of glass parameters was obtained which was the most beneficial to the pedestrian protection. The optimization may provide theory basis for the design and research of PVB laminated windshield.