Experimental and Numerical Analyses of Long Carbon Fiber Reinforced Concrete Panels Exposed to Blast Loading
Abstract
The addition of long carbon fibers to traditional reinforced concrete is proposed as a method to improve the blast spalling resistance of concrete. A series of tests was conducted to compare the blast resistance of panels constructed with either conventional reinforced concrete (RC) or long carbon fiber-reinforced concrete (LCFRC). Conventional reinforced concrete panels were tested as control specimens. Pressure sensors measured both the free-field incident pressure and the reflected pressure for each panel. Furthermore, a finite element model was created in LS-DYNA to replicate both a control panel and an LCFRC panel to observe whether or not the models could predict the observed damage. Each of the LCFRC panels exhibited less material loss and less surface damage than the control panels. The addition of long carbon fibers significantly increased the concrete's blast resistance and significantly reduced the degree of cracking associated with the concrete panels. The results were also compared to the existing damage level chart (UFC 3-340-02). A comparison of the results indicates that the finite element modeling approach adopted in this study provides an adequate representation of both RC and LCFRC experimental responses. The results can be used in blast modeling with a reasonable degree of accuracy. © 2013 Elsevier Ltd. All rights reserved.
Recommended Citation
Z. S. Tabatabaei et al., "Experimental and Numerical Analyses of Long Carbon Fiber Reinforced Concrete Panels Exposed to Blast Loading," International Journal of Impact Engineering, vol. 57, pp. 70 - 80, Elsevier, Mar 2013.
The definitive version is available at https://doi.org/10.1016/j.ijimpeng.2013.01.006
Department(s)
Civil, Architectural and Environmental Engineering
Second Department
Mining Engineering
Keywords and Phrases
Blast test; Experimental study; Long carbon fiber concrete; Numerical simulation; Protective structure
International Standard Serial Number (ISSN)
0734-743X
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Elsevier, All rights reserved.
Publication Date
12 Mar 2013
Comments
Leonard Wood Institute, Grant LWI-191-028