Box-Type Boom Design Using Surrogate Modeling: Introducing an Industrial Optimization Benchmark

Philipp Fleck, Doris Entner, Clemens Münzer, Michael Kommenda, Thorsten Prante, Martin Schwarz, Martin Hächl, Michael Affenzeller

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

2 Citations (Scopus)

Abstract

Simulation-based optimization problems are often an inherent part in engineering design tasks. This paper introduces one such use case, the design of a box-type boom of a crane, which requires a time consuming structural analysis for validation. To overcome high runtimes for optimization approaches with numerous calls to the structural analysis tool, we here present several ways of approximating the structural analysis results using surrogate models. Results show a strong correlation between certain statics input and output parameters, and that various surrogate modeling approaches yield similar results in terms of accuracy and impact of the predictors on the output. The box-type boom use case together with the surrogate models shall serve as an industrial optimization benchmark for comparing various algorithms on this simulation-based optimization problem.
Original languageEnglish
Title of host publicationComputational Methods in Applied Sciences
PublisherSpringer
Pages355-370
Number of pages16
ISBN (Print)978-3-319-89890-2
DOIs
Publication statusPublished - 2019

Publication series

NameComputational Methods in Applied Sciences
Volume49
ISSN (Print)1871-3033

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