A technique based on a skeleton-section template for parameterizing finite element (FE) models is reported and applied to shape optimization of thin-walled beam components. The template consists of a skeletal curve and a set of cross-sectional profiles. The skeletal curve can be used to derive global model variations, while the cross section is designed to obtain local deformations of the given shape. A mesh deformation method based on the radial basis functions (RBF) interpolation is employed to derive the shape variations. Specifically, the skeleton-embedding space and an anisotropic distance metric are introduced to improve the RBF deformation method. To validate the applicability of the proposed template-based parameterization technique to general shape optimization frameworks, two proof-of-concept numerical studies pertaining to crashworthiness design of an S-shaped frame were implemented. The first case study focused on global deformations with the skeletal curve, and the second treated the cross-sectional profiles as design parameters to derive local reinforcements on the model. Both studies showed the efficiency of the proposed method in generation of quality shape variants for optimization. From the numerical results, considerable amount of improvements in crashworthiness performances of the S-shaped frame were observed as measured by the peak crushing force (PCF) and the energy absorption. We conclude that the proposed template-based parameterization technique is suitable for shape optimization tasks.
Skip Nav Destination
Article navigation
December 2018
Research-Article
Skeleton-Section Template Parameterization for Shape Optimization
Ping Hu,
Ping Hu
Professor
School of Automotive Engineering,
Dalian University of Technology,
Dalian 116024, Liaoning, China
e-mail: pinghu@dlut.edu.cn
School of Automotive Engineering,
Dalian University of Technology,
Dalian 116024, Liaoning, China
e-mail: pinghu@dlut.edu.cn
Search for other works by this author on:
Lei Yang,
Lei Yang
School of Automotive Engineering,
Dalian University of Technology,
Dalian 116024, Liaoning, China
e-mail: lyangdut@mail.dlut.edu.cn
Dalian University of Technology,
Dalian 116024, Liaoning, China
e-mail: lyangdut@mail.dlut.edu.cn
Search for other works by this author on:
Baojun Li
Baojun Li
School of Automotive Engineering,
Dalian University of Technology,
Dalian 116024, Liaoning, China
e-mail: bjli@dlut.edu.cn
Dalian University of Technology,
Dalian 116024, Liaoning, China
e-mail: bjli@dlut.edu.cn
Search for other works by this author on:
Ping Hu
Professor
School of Automotive Engineering,
Dalian University of Technology,
Dalian 116024, Liaoning, China
e-mail: pinghu@dlut.edu.cn
School of Automotive Engineering,
Dalian University of Technology,
Dalian 116024, Liaoning, China
e-mail: pinghu@dlut.edu.cn
Lei Yang
School of Automotive Engineering,
Dalian University of Technology,
Dalian 116024, Liaoning, China
e-mail: lyangdut@mail.dlut.edu.cn
Dalian University of Technology,
Dalian 116024, Liaoning, China
e-mail: lyangdut@mail.dlut.edu.cn
Baojun Li
School of Automotive Engineering,
Dalian University of Technology,
Dalian 116024, Liaoning, China
e-mail: bjli@dlut.edu.cn
Dalian University of Technology,
Dalian 116024, Liaoning, China
e-mail: bjli@dlut.edu.cn
Contributed by the Design Automation Committee of ASME for publication in the JOURNAL OF MECHANICAL DESIGN. Manuscript received January 9, 2018; final manuscript received May 31, 2018; published online September 18, 2018. Assoc. Editor: Nam H. Kim.
J. Mech. Des. Dec 2018, 140(12): 121404 (10 pages)
Published Online: September 18, 2018
Article history
Received:
January 9, 2018
Revised:
May 31, 2018
Citation
Hu, P., Yang, L., and Li, B. (September 18, 2018). "Skeleton-Section Template Parameterization for Shape Optimization." ASME. J. Mech. Des. December 2018; 140(12): 121404. https://doi.org/10.1115/1.4040487
Download citation file:
Get Email Alerts
Cited By
DeepJEB: 3D Deep Learning-Based Synthetic Jet Engine Bracket Dataset
J. Mech. Des (April 2025)
Design and Justice: A Scoping Review in Engineering Design
J. Mech. Des (May 2025)
Related Articles
Shape Optimization for Temperature Regulation in Extrusion Dies Using Microstructures
J. Mech. Des (January,2023)
Four-Dimensional Printing for Freeform Surfaces: Design Optimization of Origami and Kirigami Structures
J. Mech. Des (November,2015)
Development of a Vehicle Modeling Function for Three-Dimensional Shape Optimization
J. Mech. Des (December,2009)
Level Set Topology Optimization of Printed Active Composites
J. Mech. Des (November,2015)
Related Proceedings Papers
Related Chapters
Optimum Architecture Development Using Evolutionary Programming
Intelligent Engineering Systems through Artificial Neural Networks Volume 18
Fast Map-Matching Algorithm Based on Computational Geometry and Weights
International Conference on Information Technology and Computer Science, 3rd (ITCS 2011)
The Relationship between the Function and the Form in Product Shape Optimization Design
International Conference on Optimization Design (ICOD 2010)