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Hierarchical Clustering-Based Collapse Mode Identification and Design Optimization of Energy-Dissipation Braces Inspired by the Triangular Resch Pattern

Lookup NU author(s): Dr Pooya Sareh

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Abstract

© 2024 American Society of Civil Engineers. In recent years, energy-dissipation devices have gained significant attention in seismic protection engineering because of their effectiveness in mitigating the destructive effects of earthquakes. Inspired by an origami pattern invented by Ron Resch, in this study, we propose a novel type of energy-dissipation brace to guide the deformation process and prevent the global buckling of engineering structures. To this end, a parametric geometric model is developed, followed by exploring the effects of different geometric parameters on structural collapse modes. Subsequently, by using hierarchical clustering, the collapse modes are classified into four groups. Finally, an optimal design is introduced to improve energy absorption during quasi-static axial crushing while reducing the initial peak force. The results show specific parameters play a decisive role in determining the collapse modes of the structures. Each group is associated with a particular force-displacement curve characterized by specific properties. We demonstrate that the proposed structural design optimization process reduces the initial peak force by 15.6% without affecting the specific energy absorption. This study provides insights into the application of origami-inspired structures in the design and development of high-performance energy-dissipation braces.


Publication metadata

Author(s): Chen Y, Shi J, Lu C, Feng J, Sareh P

Publication type: Article

Publication status: Published

Journal: Journal of Structural Engineering

Year: 2024

Volume: 150

Issue: 5

Print publication date: 01/05/2024

Online publication date: 29/02/2024

Acceptance date: 28/11/2023

ISSN (print): 0733-9445

ISSN (electronic): 1943-541X

Publisher: American Society of Civil Engineers (ASCE)

URL: https://doi.org/10.1061/JSENDH.STENG-12805

DOI: 10.1061/JSENDH.STENG-12805


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Funding

Funder referenceFunder name
51978150
52050410334
BK20231517
Fundamental Research Funds for the Central Universities
Natural Science Foundation of Jiangsu Province for Distinguished Young Scientists
National Natural Science Foundation of China

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