Crashworthiness behavior assessment and multi-objective optimization of horsetail-inspired sandwich tubes based on artificial neural network-Reference-Cited by-同舟云学术

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Crashworthiness behavior assessment and multi-objective optimization of horsetail-inspired sandwich tubes based on artificial neural network

Published:2023-10-05 Issue: Volume: Page:1-18
ISSN:1537-6494
Container-title:Mechanics of Advanced Materials and Structures
language:en
Short-container-title:Mechanics of Advanced Materials and Structures

Author:

Rezaei Faraz Moslem¹,Hosseini Shahram¹,Tarafdar Amirreza²,Forghani Mojtaba³,Ahmadi Hamed¹,Fellows Neil⁴,Liaghat Gholamhossein⁴

Affiliation:

1. Department of Mechanical Engineering, Tarbiat Modares University, Tehran, Iran

2. Department of Mechanical Engineering, Syracuse University, New York, USA

3. Department of Mechanical Engineering, Stanford University, Stanford, California, USA

4. School of Engineering, Computing, and Mathematics, Faculty of Technology, Design, and Environment, Oxford Brookes University, Oxford, UK

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science,General Mathematics,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15376494.2023.2257689

Reference57 articles.

1. Experimental and numerical studies on the quasi-static and dynamic crushing responses of multi-layer trapezoidal aluminum corrugated sandwiches

2. Axial plastic collapse of thin bi-material tubes as energy dissipating systems

3. A review of recent research on bio-inspired structures and materials for energy absorption applications

4. Dynamic response of the hybrid honeycomb sandwich panel with zero Poisson’s ratio under low-speed impact

5. On safety design of vehicle for protection of vulnerable road users: A review

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