| People | Locations | Statistics |
|---|---|---|
| Naji, M. |
| |
| Motta, Antonella |
| |
| Aletan, Dirar |
| |
| Mohamed, Tarek |
| |
| Ertürk, Emre |
| |
| Taccardi, Nicola |
| |
| Kononenko, Denys |
| |
| Petrov, R. H. | Madrid |
|
| Alshaaer, Mazen | Brussels |
|
| Bih, L. |
| |
| Casati, R. |
| |
| Muller, Hermance |
| |
| Kočí, Jan | Prague |
|
| Šuljagić, Marija |
| |
| Kalteremidou, Kalliopi-Artemi | Brussels |
|
| Azam, Siraj |
| |
| Ospanova, Alyiya |
| |
| Blanpain, Bart |
| |
| Ali, M. A. |
| |
| Popa, V. |
| |
| Rančić, M. |
| |
| Ollier, Nadège |
| |
| Azevedo, Nuno Monteiro |
| |
| Landes, Michael |
| |
| Rignanese, Gian-Marco |
|
Lecompte, David
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (17/17 displayed)
- 2024Numerical investigation of bond-slip behaviour between CFRP strips and concrete in shear tests under static and blast loadscitations
- 2024Experimental and Numerical Evaluation of Calcium-Silicate-Based Mineral Foam for Blast Mitigationcitations
- 2024Sacrificial cladding design for blast mitigation using low density crushable core systemscitations
- 2024Near simultaneous multiple fragment impacts on aramid fabrics: Effects of velocity, dispersion and time intervalscitations
- 2023Numerical modeling of brittle mineral foam in a sacrificial cladding under blast loadingcitations
- 2023Experimental evaluation of the ballistic resistance of aramid fabrics under near simultaneous multiple fragment impactscitations
- 2023Blast protection of thin aluminium plates by using mineral foam-core sacrificial cladding
- 2022Numerical Modeling of Brittle Mineral Foam in a Sacrificial Cladding Under Blast Loading
- 2022Finite element modelling of RC slabs retrofitted with CFRP strips under blast loadingcitations
- 2021Experimental study of the bond interaction between CFRP and concrete under blast loadingcitations
- 2019New technique to protect RC slabs against explosions using CFRP as externally bonded reinforcement
- 2019Numerical analysis of debonding between CFRP strips and concrete in shear tests under static and blast loads
- 2019Blast mitigation of reinforced concrete hollow core slabs using CFRP as externally bonded reinforcement
- 2019Blast response of retrofitted reinforced concrete hollow core slabs under a close distance explosioncitations
- 2018Blast response of RC slabs with externally bonded reinforcement : experimental and analytical verificationcitations
- 2014Identification of the plastic behavior of aluminum plates under free air explosions using inverse methods and full-field measurements
- 2008Biaxial testing of fibre reinforced composite laminates
Places of action
| Organizations | Location | People |
|---|
article
Blast response of RC slabs with externally bonded reinforcement : experimental and analytical verification
Abstract
The present paper provides an analysis of the efficiency of externally bonded reinforcement (EBR) on reinforcedconcrete (RC) slabs under blast loads. Five simply supported slabs with a span of 2m are tested under explosivecharge. One of the slabs is used as a reference specimen and the remaining slabs were strengthened with differentratios of carbon fiber reinforced polymer (CFRP). An analytical analysis is carried out using the simplified singledegree-of-freedom (SDOF) approach to predict the maximum deflection at midspan. Digital image correlation(DIC) is used to measure the maximum deflection at the midspan of the slab and the strain distribution in theconcrete and the EBR. Given the challenge to combine these displacement field measurements with blast, anexplosive driven shock tube method has been adopted in this study. The results indicate that CFRP as EBRincreases significantly the flexural capacity and the stiffness of RC slabs under blast loads. The impact of the blastwave on the RC slabs generates high strains in concrete, steel reinforcement and CFRP strips. Good correspondencein the prediction of the maximum deflection between the experimental and the analytical results, isobtained, showing that analytical analysis by means of the simplified SDOF approach leads to a reliable prediction.