Orthogonal pipe network type self-repairing material dual-scale multi-target variable density optimization method

The invention provides a dual-scale multi-target variable density optimization method for an orthogonal pipe network type self-repairing material. The method comprises the following steps: establishing a finite element model based on a variable density method; defining a dual-scale optimization targ...

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Bibliographic Details
Main Authors TAN JIANBIN, LI PENG, ZHAO YUAN, CHENG WENTAO, ZHANG CHANGYOU, YU SHENGLIN, FAN BAIJIA, WANG SHENBIAO
Format Patent
LanguageChinese
English
Published 07.06.2024
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
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Summary:The invention provides a dual-scale multi-target variable density optimization method for an orthogonal pipe network type self-repairing material. The method comprises the following steps: establishing a finite element model based on a variable density method; defining a dual-scale optimization target and constraints, and constructing a collaborative optimization mathematical model; guiding macro-micro optimization of the structure to obtain a Pareto front; judging whether the Pareto front has a dual-scale optimal solution or not, if not, performing macroscopic optimization on the scale which does not exist, updating the Pareto front and re-judging, and if the dual-scale optimal solution does not exist after multiple times of macroscopic optimization, directly terminating iteration and outputting an optimization result; and judging whether the global Pareto front changes along with iteration, if so, selecting the next generation of initial solution set for iteration based on the global Pareto front, otherwise
Bibliography:Application Number: CN202410579304