Method for predicting dynamic mechanical property of material based on BP artificial neural network

Abstract

The invention relates to a method for predicting the dynamic mechanical property of a material based on a BP artificial neural network, aims at achieving the prediction of the dynamic mechanical property of the material through the BP artificial neural network, and belongs to the testing field of the dynamic mechanical property of the material. The principle of the method comprises the steps: collecting stress-strain data through employing a high-speed tensile test method, and obtaining a training sample set after normalization preprocessing; building a BP artificial neural network model through designing an input layer, a hidden layer and an output layer, and selecting a proper transfer function, a training function, and a learning function; carrying out the iterative training of the BP artificial neural network through employing the training sample set, and obtaining an optimal prediction network. The above prediction method can be used for the prediction of the dynamic mechanical property of the material, can achieve the quick prediction of a flow curve of the material at different strain rates in a short time, and can provide enough sample data for automobile safety simulation.

Description

technical field [0001] The invention belongs to the field of testing the dynamic mechanical properties of materials, and in particular relates to a method for predicting the dynamic mechanical properties of materials based on a BP artificial neural network. Background technique [0002] With the increasing number of automobiles, automobile safety accidents have increased significantly, and the passive safety technology of automobiles has attracted more and more attention. Finite element simulation technology is one of the main ways to study the passive safety of automobiles. In order to ensure the accuracy and validity of the simulation, in addition to strict requirements on the simulation geometric model, contact boundary conditions and actual collision conditions, an accurate material model should also be established. For crash simulation analysis, the material model mainly involves the dynamic mechanical properties of materials under different strain rate conditions. ...

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Problems solved by technology

In addition, through the mechanical characteristics of the material under several strain rate conditions, the mechanical performance data of the material under any strain rate condition can be obtained by using a certain constitutive equation fitting, but the mechanical curve obtained by this fitting method is not consistent with the measured There is a certain deviation between the mechanical curves of

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