CLASSIFICATION-DIRECTED CONCEPTUAL STRUCTURE DESIGN BASED ON TOPOLOGY OPTIMIZATION, DEEP CLUSTERING, AND LOGISTIC REGRESSION

Ryo Tsumoto*, Kikuo Fujita, Yutaka Nomaguchi, Shintaro Yamasaki, Kentaro Yaji

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The structure design of mechanical parts and components has been a significant theme of design automation. Today, topology optimization techniques have become relevant for effectively embodying optimal geometries of structures. However, their optimality is restricted to a particular category through design conditions, parameters, and optimization settings. When viewing the structure design as conceptual design, identifying the optimal category is essential rather than precise details. The category means configuration, morphology, or form rather than shape or geometry. This paper proposes a conceptual structure design framework for overcoming this gap. The framework considers that conceptual design results from classifying potentially possible geometries and identifying the best appropriate category from them. In detail, a topology optimization technique generates diverse optimal geometries under various settings of conditions and parameters, a deep clustering technique, i.e., the variational deep embedding, clusters them into several categories, and a logistic regression technique retrieves the criteria that distinct respective categories as design knowledge. A designer can interactively identify the relevant criteria that lead to the optimal structure for the design requirement by simultaneously revealing and refining those criteria under the retrieved knowledge. This paper applies the framework to a simple bridge design problem to demonstrate its validity and possibilities.

Original languageEnglish
Title of host publication48th Design Automation Conference (DAC)
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791886229
DOIs
Publication statusPublished - 2022
Externally publishedYes
EventASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2022 - St. Louis, United States
Duration: 2022 Aug 142022 Aug 17

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
Volume3-A

Conference

ConferenceASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2022
Country/TerritoryUnited States
CitySt. Louis
Period22/8/1422/8/17

ASJC Scopus subject areas

  • Mechanical Engineering
  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Modelling and Simulation

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