Technical Papers
Mar 10, 2022

Improved Approximation Approach for Folding Analyses of Structures with Kinematic Indeterminacy

Publication: Journal of Engineering Mechanics
Volume 148, Issue 5

Abstract

The kinematic analysis method based on generalized inverse theory has been used in the engineering field. However, the traditional numerical procedure is found to be extraordinarily time consuming when the number of unknowns increases. This paper presents an improved approximation approach (IAA) of the kinematic analysis method to trace the rigid motion of mechanisms with both high accuracy and efficiency. It simplifies the procedure of obtaining the generalized inverse into the process of solving linear equations. Accordingly, the whole calculation can be executed with sparse matrix format. To demonstrate the progress of the IAA, the numerical examples are examined through a comparison with the conventional methods. The results indicate that IAA shows distinct improvements in precision and efficiency. The improvements are found to be clear and effective, especially for systems with multiple DOFs.

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Data Availability Statement

All data, models, and code generated or used during the study appear in the published article.

Acknowledgments

This work was supported by JSPS KAKENHI Grant No. JP19K23547.

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Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 148Issue 5May 2022

History

Received: May 28, 2020
Accepted: Jan 17, 2022
Published online: Mar 10, 2022
Published in print: May 1, 2022
Discussion open until: Aug 10, 2022

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Assistant Professor, Institute of Industrial Science, Univ. of Tokyo, Tokyo 1538505, Japan (corresponding author). ORCID: https://orcid.org/0000-0002-6258-4553. Email: [email protected]
Ken’ichi Kawaguchi, Dr.Eng. [email protected]
Professor, Institute of Industrial Science, Univ. of Tokyo, Tokyo 1538505, Japan. Email: [email protected]
Minger Wu, Dr.Eng. [email protected]
Professor, Dept. of Structural Engineering, Tongji Univ., Shanghai 200092, China. Email: [email protected]

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  • Lead the folding motion of the thick origami model under gravity, Journal of Asian Architecture and Building Engineering, 10.1080/13467581.2022.2145210, (1-13), (2022).

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