Dynamic simulation of collisions of heavy high-speed trucks with concrete barriers

Itoh, Yoshito, Liu, Chunlu and Kusama, Ryuichi 2007, Dynamic simulation of collisions of heavy high-speed trucks with concrete barriers, Chaos, solitons and fractals, vol. 34, no. 4, pp. 1239-1244.


Title Dynamic simulation of collisions of heavy high-speed trucks with concrete barriers
Author(s) Itoh, Yoshito
Liu, Chunlu
Kusama, Ryuichi
Journal name Chaos, solitons and fractals
Volume number 34
Issue number 4
Start page 1239
End page 1244
Publisher Pergamon - Elsevier Ltd
Place of publication Amsterdam, The Netherlands
Publication date 2007-11
ISSN 0960-0779
1873-2887
Summary Real vehicle collision experiments on full-scale road safety barriers are important to determine the outcome of a vehicle versus barrier impact accident. However, such experiments require large investment of time and money. Numerical simulation has therefore been imperative as an alternative method for testing concrete barriers. In this research, spring subgrade models were first developed to simulate the ground boundary of concrete barriers. Both heavy trucks and concrete barriers were modeled using finite element methods (FEM) to simulate dynamic collision performances. Comparison of the results generated from computer simulations and on-site full-scale experiments demonstrated that the developed models could be applied to simulate the collision of heavy trucks with concrete barriers to provide the data to design new road safety barriers and analyze existing ones.
Language eng
Field of Research 090507 Transport Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2006, Elsevier Ltd
Persistent URL http://hdl.handle.net/10536/DRO/DU:30007396

Document type: Journal Article
Collection: School of Architecture and Built Environment
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 2 times in TR Web of Science
Scopus Citation Count Cited 3 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 526 Abstract Views  -  Detailed Statistics
Created: Mon, 29 Sep 2008, 08:51:38 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.