Nonlinear finite element analysis of FRP-Strengthened reinforced concrete panels under blast loads

Lin, X and Zhang, Y 2016, 'Nonlinear finite element analysis of FRP-Strengthened reinforced concrete panels under blast loads', International Journal of Computational Methods, vol. 13, no. 4, 1641002, pp. 1-17.


Document type: Journal Article
Collection: Journal Articles

Title Nonlinear finite element analysis of FRP-Strengthened reinforced concrete panels under blast loads
Author(s) Lin, X
Zhang, Y
Year 2016
Journal name International Journal of Computational Methods
Volume number 13
Issue number 4
Article Number 1641002
Start page 1
End page 17
Total pages 17
Publisher World Scientific Publishing
Abstract A finite element model is developed in this paper for numerical modeling of the structural responses of FRP-strengthened reinforced concrete panels under blast loading. Strain rate effects for concrete in tension and compression, steel reinforcements and FRP sheets are taken into account in the finite element model. The commercial explicit hydrocode LS-DYNA is employed to carry out the numerical analysis. The proposed finite element model is validated by comparing the computed results of a conventional reinforced concrete panel and FRP-strengthened reinforced concrete panels under blast loading with the test data from the literature. In addition, the effects of FRP thickness, retrofitted surface, standoff distance and the charge mass on the blast resistance of FRP-strengthened reinforced concrete panels are investigated in this paper.
Subject Structural Engineering
Keyword(s) Blast loading
fiber reinforced polymer
finite element analysis
reinforced concrete panel
strain rate effect
DOI - identifier 10.1142/S0219876216410024
Copyright notice © 2016 World Scientific Publishing Company
ISSN 0219-8762
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 10 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 4 times in Scopus Article | Citations
Altmetric details:
Access Statistics: 71 Abstract Views  -  Detailed Statistics
Created: Wed, 17 Aug 2016, 09:29:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us