High-fidelity physics based models (HFPBM) for FRP-strengthened RC walls subject to near-field blast effects and fragment loading
In this report D3, the aim is to develop a high-fidelity physics based models (HFPBM) by commercial hydro code LS-DYNA for FRP-strengthened RC walls subject to near-field blast effects and fragment loading. The models should be validated using the DSTA test results or other available test results....
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sg-ntu-dr.10356-1382362021-11-09T03:12:36Z High-fidelity physics based models (HFPBM) for FRP-strengthened RC walls subject to near-field blast effects and fragment loading Fung, Tat Ching Tan, Kang Hai Werner Riedel Yu, Qingjun Del Linz, Paolo Li, Gen Tu, Huan Fung Tat Ching School of Civil and Environmental Engineering DSTA Protective Technology Research Centre Tan, Kang Hai CTCFUNG@ntu.edu.sg Engineering::Civil engineering::Structures and design Engineering::Materials::Composite materials In this report D3, the aim is to develop a high-fidelity physics based models (HFPBM) by commercial hydro code LS-DYNA for FRP-strengthened RC walls subject to near-field blast effects and fragment loading. The models should be validated using the DSTA test results or other available test results. Based on the work from report D1, D2 and also some other previous projects by our group, in this report D3, the involved techniques of numerical simulation will be investigated one by one. Finally high-fidelity physics based models (HFPBM) will be developed. 2020-04-29T07:15:24Z 2020-04-29T07:15:24Z 2017 Research Report https://hdl.handle.net/10356/138236 en Modelling of fibre-reinforced polymer (FRP) strengthened reinforced concrete walls subject to blast and fragment loadings Modelling of fibre-reinforced polymer (FRP) strengthened reinforced concrete walls subject to blast and fragment loadings/D3 10.21979/N9/USUJN9 application/pdf Nanyang Technological University |
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Engineering::Civil engineering::Structures and design Engineering::Materials::Composite materials Fung, Tat Ching Tan, Kang Hai Werner Riedel Yu, Qingjun Del Linz, Paolo Li, Gen Tu, Huan High-fidelity physics based models (HFPBM) for FRP-strengthened RC walls subject to near-field blast effects and fragment loading |
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In this report D3, the aim is to develop a high-fidelity physics based models (HFPBM) by commercial hydro code LS-DYNA for FRP-strengthened RC walls subject to near-field blast effects and fragment loading.
The models should be validated using the DSTA test results or other available test results.
Based on the work from report D1, D2 and also some other previous projects by our group, in this report D3, the involved techniques of numerical simulation will be investigated one by one. Finally high-fidelity physics based models (HFPBM) will be developed. |
author2 |
Fung Tat Ching |
author_facet |
Fung Tat Ching Fung, Tat Ching Tan, Kang Hai Werner Riedel Yu, Qingjun Del Linz, Paolo Li, Gen Tu, Huan |
format |
Research Report |
author |
Fung, Tat Ching Tan, Kang Hai Werner Riedel Yu, Qingjun Del Linz, Paolo Li, Gen Tu, Huan |
author_sort |
Fung, Tat Ching |
title |
High-fidelity physics based models (HFPBM) for FRP-strengthened RC walls subject to near-field blast effects and fragment loading |
title_short |
High-fidelity physics based models (HFPBM) for FRP-strengthened RC walls subject to near-field blast effects and fragment loading |
title_full |
High-fidelity physics based models (HFPBM) for FRP-strengthened RC walls subject to near-field blast effects and fragment loading |
title_fullStr |
High-fidelity physics based models (HFPBM) for FRP-strengthened RC walls subject to near-field blast effects and fragment loading |
title_full_unstemmed |
High-fidelity physics based models (HFPBM) for FRP-strengthened RC walls subject to near-field blast effects and fragment loading |
title_sort |
high-fidelity physics based models (hfpbm) for frp-strengthened rc walls subject to near-field blast effects and fragment loading |
publisher |
Nanyang Technological University |
publishDate |
2020 |
url |
https://hdl.handle.net/10356/138236 |
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1718368059881684992 |