Earth and rockfill dam material constitutive model construction method based on deep learning and finite element unit method

A technology of deep learning and constitutive models, applied in neural learning methods, computer materials science, biological neural network models, etc., can solve problems such as no physical meaning, error uncertainty, lost data, etc.

Pending Publication Date: 2020-11-03
POWER CHINA KUNMING ENG CORP LTD
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Problems solved by technology

However, the fitted constitutive function will inevitably lose part of the information contained in the data, and introduce errors and uncer

Method used

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  • Earth and rockfill dam material constitutive model construction method based on deep learning and finite element unit method
  • Earth and rockfill dam material constitutive model construction method based on deep learning and finite element unit method
  • Earth and rockfill dam material constitutive model construction method based on deep learning and finite element unit method

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Embodiment Construction

[0079] The following is an example of a homogeneous earth-rock dam project, in which the height of the earth-rock dam is 12.0m, the width of the dam crest is 4.0m, the slope ratio of the upstream and downstream dams is 1:2, and the length of the dam crest is 48.0m. The present invention will be further described in conjunction with the accompanying drawings. The following examples are only used to clearly illustrate the technical solutions of the present invention, but not to limit the protection scope of the present invention.

[0080] The present invention improves a construction method of earth-rock dam material constitutive model based on deep learning and finite element method, and its construction process is as follows figure 1 , including the following steps:

[0081] Step 1. Establish a finite element model according to the size of the earth-rock dam material specimen, input the stress-strain curve obtained from the compression test for finite element calculation, ext...

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Abstract

The invention discloses a material constitutive model based on deep learning and a finite element method, which belongs to the technical field of artificial intelligence and material constitutive models, and comprises the following steps: establishing a finite element model according to the size of an earth and rockfill dam material test piece, and inputting a stress-strain curve obtained by a compression test to perform finite element calculation; extracting real stress, strain and incremental data of the model to form a data set; learning the data set by adopting deep learning, and outputting deep learning model parameters; ccording to the deep learning model parameters, compiling a material constitutive subprogram, and constructing an earth and rockfill dam material constitutive model based on deep learning and finite element unit method. According to the construction method of the earth and rockfill dam material constitutive model, the used deep neural network can infinitely approach any continuous function, Therefore, the method can be used for constructing a complex nonlinear earth and rockfill dam material constitutive model, the deep neural network constitutive model is only based on test data, no hypothesis is made, the model is not affected by the shape of a stress-strain curve, and the model is more objective.

Description

technical field [0001] The invention relates to a material constitutive model based on deep learning and a finite element method, and belongs to the technical field of artificial intelligence and material constitutive models. Background technique [0002] When designing an earth-rock dam, it is necessary to predict the stress and deformation of the dam body through numerical analysis, so as to ensure the safe operation of the dam. In the stress and deformation analysis of the dam body, the constitutive model of the dam body material has a great influence on the calculation results. Therefore, it must Choose an appropriate constitutive model. [0003] The finite element method has been widely used as a powerful tool for analyzing engineering problems. In finite element analysis, the behavior of real materials is often approximated to the behavior of ideal materials deformed according to certain constitutive relations. Therefore, choosing an appropriate constitutive model to ...

Claims

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Application Information

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IPC IPC(8): G06F30/23G06F30/27G06N3/04G06N3/08G16C60/00G06F119/14
CPCG06F30/23G06F30/27G06N3/08G16C60/00G06F2119/14G06N3/045Y02A10/40
Inventor 杨旸张宗亮冯业林冯峻林梁礼绘徐云泉
Owner POWER CHINA KUNMING ENG CORP LTD
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