Thermoset coupling structure dynamics order reduction model method suitable for thermodynamic elasticity analysis

Abstract

The invention discloses a thermoset coupling structure dynamics order reduction model method suitable for thermodynamic elasticity analysis and belongs to the technical field of aerodynamics. The method comprises the steps of S1, performing order reduction on a structure temperature field, constructing a structure temperature field order reduction model, and obtaining a structure temperature fieldlow-order vector after order reduction of the structure temperature field at any moment; S2, selecting a modal shape of a reference structure as a reference modal shape phi ref, and performing orderreduction on a deformation field to obtain a low-dimensional vector q based on phi ref; s3, establishing a kinetic equation of the heated structure; s4, establishing a thermosetting coupling kinetic model of the heated structure; sampling is carried out in the q and the formed L + N-dimensional space; a series of sample working conditions with different deformation field and temperature field loads are obtained, M, D and K (1) in a formula (7) are identified through a system, and nonlinear structure dynamics analysis under a time-varying temperature load is carried out after training is completed, so that a thermosetting coupling dynamics model based on a neural network is a nonlinear model and has generality.

Description

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AI Technical Summary

Benefits of technology

This patented technology reduces the order modelling problem used during analyzation methods such as phase equilibrium molecular dynamic simulations or finite element models. By creating a small number of smaller structures that represent different parts of an object undergoing physical processes like heat transfer, pressure waves, etc., they become more accurate than traditional approaches without requiring large amounts of data storage. Additionally, this approach simplifies calculations while still allowing for precise control over factors affecting these phenomena. Overall, this innovative technique improves efficiency and effectiveness in various fields related technologies including science researches and engineering applications.

Problems solved by technology

Technologies aim towards improving the performance of structures exposed to severe environmental factors like airflow or wind. These improvements involve modifying their design variables to match certain constraints imposed upon those environments' behavior characteristics. One approach involves simplification of complex mathematical expressions involving multiple models representing various aspects of the environment, but this also reduces computation costs compared to traditional approaches due to its complexity. Another aspect includes optimizing the model coefficients themselves to minimize energy consumption while maintaining accurate phase response prediction.

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