First-order equivalent static loads for dynamic response structural optimization

TL;DR

The paper introduces F-ESL, a novel static load approach that improves dynamic structural optimization by incorporating first-order information, leading to faster convergence and better optimality recognition.

Contribution

F-ESL extends the basic ESL method by including first-order terms, enhancing its ability to find feasible and optimal solutions more efficiently.

Findings

F-ESL achieves faster convergence with fewer function evaluations.

F-ESL overcomes limitations of the original ESL in recognizing optimal designs.

F-ESL maintains simplicity and robustness for practical use.

Abstract

A novel first-order equivalent static loads approach for optimization of structural dynamic response, F-ESL, is presented and compared to the basic equivalent static load formulation, ESL. F-ESL simplifies dynamic optimization problems by converting them into a series of static optimization sub-problems. The ESL algorithm in its original formulation does not have a guaranteed capability of reaching, or recognizing, final designs that satisfy necessary first-order optimality conditions. F-ESL addresses this limitation by including first-order terms directly into the equivalent static load definition. This new mathematical information guides the optimization algorithm more effectively toward solutions that satisfy both feasibility and optimality conditions. Using reproducible numerical examples, we show that F-ESL overcomes the known limitations of the original ESL, often with few outer function evaluations and fast convergence. At the same time, F-ESL maintains ESL simplicity, robustness, and ease of implementation, providing practitioners with an effective tool for structural dynamic optimization problems.