Accelerated Design Optimization via Residual Constraint Adjustment
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Solution Overview
Problem
Conventional design optimization methods are slow and may not produce a conservative optimal design, as they often rely on intuition and conflict between design objectives, lacking a systematic approach to achieve the best compromise.
Innovation Solution
The method involves constructing approximations of structural responses around an initial design, adjusting constraints based on residuals to ensure convergence to a conservative optimal design, using iterative processes to refine the design optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional design optimization methods are used, then the design process follows a systematic approach with defined criteria and variables, but the optimization process is too slow to achieve the optimal design
Solution Approach 1:
The patent pre-calculates residual values between actual structural responses and approximated responses before the optimization process begins. These pre-computed residuals are then used to adjust constraints during optimization, eliminating the need for iterative recalculations and significantly accelerating the optimization speed while maintaining conservative design requirements
Solution Approach 2:
The patent incorporates a safety cushion by adjusting constraints using pre-computed residuals before the optimization process starts. This beforehand adjustment ensures that the optimization remains conservative without requiring slow iterative verification during the optimization process, thus improving both reliability and speed
2Reliability
If iterative approximation methods are used to achieve optimal design, then convergence can be achieved, but the process requires multiple iterations and is time-consuming
Solution Approach 1:
The patent performs preliminary calculation of residual values between actual and approximated structural responses before the optimization iterations begin. This pre-computation allows the first iteration to start with already-adjusted constraints, reducing the total number of iterations needed for convergence and significantly cutting down the time required
Solution Approach 2:
The patent uses pre-computed residual values as feedback to adjust constraints before optimization begins. This feedback mechanism provides accurate information about approximation errors upfront, enabling the optimization process to converge faster by avoiding unnecessary iterations that would otherwise be needed to discover these errors
Data Source
AI summary
A system, method, and software product for an accelerated design optimization is described. Engineers/designers/users define an initial design with a set of responses and constraints on the responses in a design optimization process. A plurality of approximations to the responses around the initial design is created to represent an engineering design space. A current optimal design is determined from the approximations subject to the set of constraints. Actual structural response of the current optimal design is calculated. As a result, the residual between the actual response and the approximated response can be established. When the optimization process has not reached convergence, another set of approximations is created around the current optimal design. Instead of using the original set of constraints, the new set of constraints is adjusted with the calculated residual, so that the design optimization process can achieve convergence much faster.