Performance Study of Origami Crash Tubes Based on Energy Dissipation History

Peng Zhang, Zuoyu Sun, Hui Wang and Xinmei Xiang
Additional contact information
Peng Zhang: School of Civil Engineering, Guangzhou University, No. 230 Wai Huan Xi Road, Guangzhou Higher Education Mega Center, Guangzhou 510006, China
Zuoyu Sun: School of Civil Engineering, Guangzhou University, No. 230 Wai Huan Xi Road, Guangzhou Higher Education Mega Center, Guangzhou 510006, China
Hui Wang: School of Civil Engineering, Guangzhou University, No. 230 Wai Huan Xi Road, Guangzhou Higher Education Mega Center, Guangzhou 510006, China
Xinmei Xiang: School of Civil Engineering, Guangzhou University, No. 230 Wai Huan Xi Road, Guangzhou Higher Education Mega Center, Guangzhou 510006, China

Energies, 2022, vol. 15, issue 9, 1-26

Abstract: Thin-walled tubes are widely used as energy-absorbing components in traffic vehicles, which can absorb part of the energy in time by using the plastic deformation of the components during collision so as to reduce the damage of the vehicle body and improve the overall safety and reliability of traffic vehicles. The prefolded design of thin-walled tube components can guide it to achieve the ideal energy dissipation performance according to the preset damage path, so the related research based on origami tubes has attracted a lot of attention. Since the geometry of the origami tubes is controlled by many parameters and stress and deformation is a complex nonlinear damage process, most of the previous studies adopted the method of case analysis to carry out numerical simulation and experimental verification of the relevant influence parameters. This paper makes a new exploration of this kind of problem and focuses on solving the related technical problems in three aspects: 1. The automatic model modeling and 3D display based on parameters are proposed; 2. System integration using Python programming to automatically generate the data files of ABAQUS for finite element simulation was realized, and we sorted the finite element analysis results into an artificial intelligence analysis data set; 3. Clustering analysis of the energy consumption history of the data set is carried out using a machine learning algorithm, and the key design parameters that affect the energy consumption history are studied in depth. The sensitivity of the energy absorption performance of the origami tubes with multi-morphology patterns to the crease spacing is studied, and it is shown that the concave–convex crease spacing distribution with a distance larger than 18 mm could be used to activate specific crushing modes. In the optimal case, its initial peak force is reduced by 66.6 % compared to uniformly spaced creases, while the average crushing force is essentially the same. Furthermore, this paper finds a new path to optimizing the design of parameters for origami tubes including a multi-morphology origami pattern from the perspective of energy dissipation.

Keywords: energy dissipation history; origami tubes; automatic model modeling; machine learning; multi-morphology origami (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/9/3109/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/9/3109/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:9:p:3109-:d:801089

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().