Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)

Dynamic Response of the Pre-load Steel Frame Under Transverse Impact

Authors
Mianyue Yang, Chaojiang Fu
Corresponding Author
Mianyue Yang
Available Online November 2017.
DOI
10.2991/amms-17.2017.81How to use a DOI?
Keywords
dynamic response; transverse impact; steel frame; nonlinear finite analysis; simulation
Abstract

The process of dynamic response for the pre-load steel frame subjected to impulsive load is a complicated nonlinear problem. In this paper, the ABAQUS nonlinear finite element analysis software is used to simulate the dynamic response of the pre- load steel frame subjected to transverse impact loading. The parametric study shows that: the increasing of impact kinetic energy and impact location will increase the dynamic response of the steel frame; the dynamic response is primarily dependent on the level of impact kinetic energy; at the same impact kinetic energy, a smaller impacting velocity with a higher mass tends to give more severe dynamic response of the pre- load steel frame.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)
Series
Advances in Intelligent Systems Research
Publication Date
November 2017
ISBN
10.2991/amms-17.2017.81
ISSN
1951-6851
DOI
10.2991/amms-17.2017.81How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Mianyue Yang
AU  - Chaojiang Fu
PY  - 2017/11
DA  - 2017/11
TI  - Dynamic Response of the Pre-load Steel Frame Under Transverse Impact
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)
PB  - Atlantis Press
SP  - 361
EP  - 364
SN  - 1951-6851
UR  - https://doi.org/10.2991/amms-17.2017.81
DO  - 10.2991/amms-17.2017.81
ID  - Yang2017/11
ER  -