In the present work, it is intended to discuss how to achieve real-time structural topology optimization (i.e., obtaining the optimized distribution of a certain amount of material in a prescribed design domain almost instantaneously once the objective/constraint functions and external stimuli/boundary conditions are specified), an ultimate dream pursued by engineers in various disciplines, using machine learning (ML) techniques. To this end, the so-called moving morphable component (MMC)-based explicit framework for topology optimization is adopted for generating training set and supported vector regression (SVR) as well as K-nearest-neighbors (KNN) ML models are employed to establish the mapping between the design parameters characterizing the layout/topology of an optimized structure and the external load. Compared with existing approaches, the proposed approach can not only reduce the training data and the dimension of parameter space substantially, but also has the potential of establishing engineering intuitions on optimized structures corresponding to various external loads through the learning process. Numerical examples provided demonstrate the effectiveness and advantages of the proposed approach.
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January 2019
Research-Article
Machine Learning-Driven Real-Time Topology Optimization Under Moving Morphable Component-Based Framework
Xin Lei,
Xin Lei
State Key Laboratory of Structural
Analysis for Industrial Equipment,
Department of Engineering Mechanics,
International Center for
Computational Mechanics,
Dalian University of Technology,
Dalian 116023, China
Analysis for Industrial Equipment,
Department of Engineering Mechanics,
International Center for
Computational Mechanics,
Dalian University of Technology,
Dalian 116023, China
Search for other works by this author on:
Chang Liu,
Chang Liu
State Key Laboratory of Structural
Analysis for Industrial Equipment,
Department of Engineering Mechanics,
International Center for
Computational Mechanics,
Dalian University of Technology,
Dalian 116023, China
e-mail: changliu@mail.dlut.edu.cn
Analysis for Industrial Equipment,
Department of Engineering Mechanics,
International Center for
Computational Mechanics,
Dalian University of Technology,
Dalian 116023, China
e-mail: changliu@mail.dlut.edu.cn
Search for other works by this author on:
Zongliang Du,
Zongliang Du
State Key Laboratory of Structural
Analysis for Industrial Equipment,
Department of Engineering Mechanics,
International Center for
Computational Mechanics,
Dalian University of Technology,
Dalian 116023, China
Analysis for Industrial Equipment,
Department of Engineering Mechanics,
International Center for
Computational Mechanics,
Dalian University of Technology,
Dalian 116023, China
Search for other works by this author on:
Weisheng Zhang,
Weisheng Zhang
State Key Laboratory of Structural
Analysis for Industrial Equipment,
Department of Engineering Mechanics,
International Center for
Computational Mechanics,
Dalian University of Technology,
Dalian 116023, China
Analysis for Industrial Equipment,
Department of Engineering Mechanics,
International Center for
Computational Mechanics,
Dalian University of Technology,
Dalian 116023, China
Search for other works by this author on:
Xu Guo
Xu Guo
State Key Laboratory of Structural
Analysis for Industrial Equipment,
Department of Engineering Mechanics,
International Center for
Computational Mechanics,
Dalian University of Technology,
Dalian 116023, China
e-mail: guoxu@dlut.edu.cn
Analysis for Industrial Equipment,
Department of Engineering Mechanics,
International Center for
Computational Mechanics,
Dalian University of Technology,
Dalian 116023, China
e-mail: guoxu@dlut.edu.cn
Search for other works by this author on:
Xin Lei
State Key Laboratory of Structural
Analysis for Industrial Equipment,
Department of Engineering Mechanics,
International Center for
Computational Mechanics,
Dalian University of Technology,
Dalian 116023, China
Analysis for Industrial Equipment,
Department of Engineering Mechanics,
International Center for
Computational Mechanics,
Dalian University of Technology,
Dalian 116023, China
Chang Liu
State Key Laboratory of Structural
Analysis for Industrial Equipment,
Department of Engineering Mechanics,
International Center for
Computational Mechanics,
Dalian University of Technology,
Dalian 116023, China
e-mail: changliu@mail.dlut.edu.cn
Analysis for Industrial Equipment,
Department of Engineering Mechanics,
International Center for
Computational Mechanics,
Dalian University of Technology,
Dalian 116023, China
e-mail: changliu@mail.dlut.edu.cn
Zongliang Du
State Key Laboratory of Structural
Analysis for Industrial Equipment,
Department of Engineering Mechanics,
International Center for
Computational Mechanics,
Dalian University of Technology,
Dalian 116023, China
Analysis for Industrial Equipment,
Department of Engineering Mechanics,
International Center for
Computational Mechanics,
Dalian University of Technology,
Dalian 116023, China
Weisheng Zhang
State Key Laboratory of Structural
Analysis for Industrial Equipment,
Department of Engineering Mechanics,
International Center for
Computational Mechanics,
Dalian University of Technology,
Dalian 116023, China
Analysis for Industrial Equipment,
Department of Engineering Mechanics,
International Center for
Computational Mechanics,
Dalian University of Technology,
Dalian 116023, China
Xu Guo
State Key Laboratory of Structural
Analysis for Industrial Equipment,
Department of Engineering Mechanics,
International Center for
Computational Mechanics,
Dalian University of Technology,
Dalian 116023, China
e-mail: guoxu@dlut.edu.cn
Analysis for Industrial Equipment,
Department of Engineering Mechanics,
International Center for
Computational Mechanics,
Dalian University of Technology,
Dalian 116023, China
e-mail: guoxu@dlut.edu.cn
1Corresponding authors.
Contributed by the Applied Mechanics Division of ASME for publication in the JOURNAL OF APPLIED MECHANICS. Manuscript received August 7, 2018; final manuscript received August 24, 2018; published online October 5, 2018. Editor: Yonggang Huang.
J. Appl. Mech. Jan 2019, 86(1): 011004 (9 pages)
Published Online: October 5, 2018
Article history
Received:
August 7, 2018
Revised:
August 24, 2018
Citation
Lei, X., Liu, C., Du, Z., Zhang, W., and Guo, X. (October 5, 2018). "Machine Learning-Driven Real-Time Topology Optimization Under Moving Morphable Component-Based Framework." ASME. J. Appl. Mech. January 2019; 86(1): 011004. https://doi.org/10.1115/1.4041319
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