Establishing a predictive method for blast induced masonry debris distribution using experimental and numerical methods |
| |
| Affiliation: | 1. Department of Engineering, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, United Kingdom;2. Department of Civil and Structural Engineering, The University of Sheffield, Mappin Street, Sheffield S1 3JD, United Kingdom;1. Department of Engineering Design and Materials, NTNU, Trondheim, Norway;2. Department of Management and Engineering, University of Padova, Vicenza, Italy;3. Department of Mechanical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran;1. Department of Combat and Special Vehicles, Faculty of Military Technology, University of Defence, Kounicova 65, Brno 66210, Czech Republic;2. Department of Mathematics and Statistics, Faculty of Science, Masaryk University, Kotlá?ská 2, Brno 61137, Czech Republic;3. Department of Econometrics, Faculty of Military Leadership, University of Defence, Kounicova 65, Brno 66210, Czech Republic;4. Department of Radar Technology, Faculty of Military Technology, University of Defence, Kounicova 65, Brno 66210, Czech Republic;1. Institute of Fundamentals of Machinery Design, Faculty of Mechanical Engineering, Silesian University of Technology, Konarskiego 18A, 44-100 Gliwice, Poland;2. Institute of Theory of Electrical Engineering, Measurement and Information Systems, Faculty of Electrical Engineering, Warsaw University of Technology, Koszykowa 75, 00-662 Warsaw, Poland;3. Air Force Institute of Technology, Ks. Boles?awa 6, 01-494 Warsaw, Poland;4. Department of Physical Chemistry and Technology of Polymers, Faculty of Chemistry, Silesian University of Technology, M. Strzody 9, 44-100 Gliwice, Poland;1. Key Laboratory of Mountain Hazards and Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Science, Chengdu 610041, China;2. Department of Civil Engineering, The University of Tokyo, Tokyo 113-8656, Japan |
| |
| Abstract: | When subjected to blast loading, fragments ejected by concrete or masonry structures present a number of potential hazards. Airborne fragments pose a high risk of injury and secondary damage, with the resulting debris field causing major obstructions. The capability to predict the spatial distribution of debris of any structure as a function of parameterised blast loads will offer vital assistance to both emergency response and search and rescue operations and aid improvement of preventative measures. This paper proposes a new method to predict the debris distribution produced by masonry structures which are impacted by blast. It is proposed that describing structural geometry as an array of simple modular panels, the overall debris distribution can be predicted based on the distribution of each individual panel. Two experimental trials using 41 kg TNT equivalent charges, which subjected a total of nine small masonry structures to blast loading, were used to benchmark a computational modelling routine using the Applied Element Method (AEM). The computational spatial distribution presented good agreement with the experimental trials, closely matching breakage patterns, initial fragmentation and ground impact fragmentation. The collapse mechanisms were unpredictable due to the relatively low transmitted impulse; however, the debris distributions produced by AEM models with matching collapse mechanisms showed good agreement with the experimental trials. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
