Optimization design method for composite material laminated plate layup

Abstract

The invention relates to a multi-objective optimization design method for a composite laminated plate layup. The method specifically comprises the following steps: determining an objective function and constraints according to the working condition of a laminated plate; determining a layer number interval, and taking the layer number as a factor; selecting layering angles as levels, sorting the layering angles according to rules, and selecting three adjacent levels of factors to construct an orthogonal table; simulating according to orthogonal table scheme design, and extracting evaluation indexes in a result file; correcting a target response value by using a penalty function method; processing the corrected value by using a normalization method to obtain a decision matrix; determining subjective and objective weights of each index by using an analytic hierarchy process and an entropy weight method; combining the host or guest or combination weight with the decision matrix to obtain anew decision matrix; obtaining an optimal combination by using an approximate optimal solution sorting method; and constructing an orthogonal table by taking the level of the optimal combination as areference, and continuing iteration until conditions are met. The method can solve the problem that the number of layers of the composite material changes, and is small in iteration frequency.

Description

technical field [0001] The invention relates to the field of composite material part design, in particular to a multi-objective optimization design method for composite material laminated board layers. Background technique [0002] Composite laminates are widely used in aerospace, ships, automobiles and other fields due to their low density, high specific strength, high specific stiffness and designability of mechanical properties. The mechanical properties of the laminate are closely related to the thickness of the ply and the angle of each ply. Therefore, optimizing the thickness of the ply and the angle of the ply are two important ways to improve the mechanical properties of the laminate, and the laminate is often under various working conditions. Bearing multiple loads is a multi-objective optimization problem. However, the existing multi-objective optimization methods for composite laminates, such as genetic algorithm, particle swarm algorithm, etc., take the ply thic...

AI Technical Summary

Problems solved by technology

However, the existing multi-objective optimization methods for composite laminates, such as genetic algorithm, particle swarm algorithm, etc., take the ply thickness or ply angle as a separate design variable for optimal design, and the ply angle as a design variable , most of the optimization methods set the ply thickness as a fixed value, and there are few methods that consider the ply thickness and ply angle as variables at the same time

At the same time, the existing methods cannot fully add the designer's experience to change the weight of the objective function to achieve specific optimization purposes

Images