Artificial Force Optimization for Post-Buckling Suppression
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Solution Overview
Problem
Existing optimization methods for designing real-world objects struggle to effectively suppress post-buckling behavior, especially in large displacement and geometrical non-linear modeling scenarios, leading to challenges in predicting the global buckling point and increasing computational costs.
Innovation Solution
The method involves adding artificial forces to computer-based models representing real-world objects to counteract deformations, iteratively optimizing the design to suppress post-buckling responses, and converge to an optimized solution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing optimization methods are used to model post-buckling behavior, then the global buckling point can be predicted, but computational costs and runtime increase significantly
Solution Approach 1:
The patent extracts and suppresses the harmful post-buckling behavior from the computational model by adding artificial forces. This allows the model to focus computational resources on predicting the pre-buckling and global buckling points accurately, while the post-buckling region is artificially constrained to prevent excessive computational expenditure on physically irrelevant deformation paths.
Solution Approach 2:
The patent applies preliminary anti-action by introducing artificial forces that counteract post-buckling deformations before they can develop fully. These artificial forces are applied in advance to suppress the harmful behavior, enabling the optimization to converge on meaningful solutions without undergoing the full computationally expensive post-buckling analysis.
2Measurement precision
If existing optimization methods are used to model post-buckling behavior, then the global buckling point can be predicted, but computational costs increase
Solution Approach 1:
The patent extracts and removes the computationally expensive post-buckling analysis from the optimization process by suppressing it through artificial forces. This extraction allows the remaining optimization to run at significantly reduced computational cost while maintaining accuracy in predicting the critical buckling points of interest.
Solution Approach 2:
By applying artificial forces that preliminarily counteract post-buckling behavior, the patent prevents the optimization from expending computational energy on irrelevant deformation paths. This preliminary action stops the computationally expensive post-buckling calculations before they can consume excessive resources.
3Loss of time
If artificial forces are added to suppress post-buckling behavior, then computational costs and runtime are reduced, but the model complexity increases
Solution Approach 1:
The patent changes the physical parameters of the model by introducing artificial forces that modify the stress and deformation characteristics. These parameter changes enable the suppression of post-buckling behavior, reducing computational runtime while the added complexity is managed through systematic formulation of the artificial force functions.
Data Source
AI summary
Embodiments determine optimized designs of real-world objects. A computer-based model representing a real-world object is defined and the computer-based model is modified to include at least one artificial force. The at least one artificial force is defined as a function of physics-based behavior. The real-world object is iteratively optimizing with respect to load using the computer-based model modified. A result of the iterative optimization is an optimized design of the real-world object.