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Experimental and computational methods for steel columns subjected to blast loading

机译:爆炸载荷作用下钢柱的试验和计算方法

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The extreme environment generated by blasts that result from terrorist incidents can cause devastating consequences for structures and their occupants. Attacks in the form of vehicle bombs have motivated the necessity for designing and analysing structures to withstand these types of events. Typically, the development of such methodologies is driven by conclusions that have been obtained via field tests. Unfortunately, due to the harsh environment created by explosives, characterizing behaviours of structural components and collecting reliable data during a field blast event is problematic. In an effort to provide answers to key questions related to how structures behave during a blast event and assuage the difficulty of producing high quality data, the University of California, San Diego (UCSD) Blast Simulator was developed. Using this technology, a series of experiments was conducted on full-scale structural steel columns to investigate the performance of the columns subjected to such vehicle borne threats. Because there is no fireball, high quality visual and quantitative data was produced which was used to validate the Simulator versus field testing and produce a high fidelity finite element model for column loading in both the weak and strong axis directions for future prediction needs.
机译:恐怖事件引起的爆炸所产生的极端环境可能对建筑物及其居民造成破坏性后果。车辆炸弹形式的攻击激发了设计和分析可承受此类事件的结构的必要性。通常,通过现场测试得出的结论推动了这种方法的发展。不幸的是,由于爆炸物造成的恶劣环境,在爆炸现场期间表征结构部件的行为并收集可靠的数据是有问题的。为了提供与爆炸事件中建筑物的行为方式有关的关键问题的答案,并减轻产生高质量数据的难度,加州大学圣地亚哥分校(UCSD)爆炸模拟器得以开发。使用这项技术,在全尺寸结构钢柱上进行了一系列实验,以研究遭受此类车载威胁的柱的性能。由于没有火球,因此产生了高质量的视觉和定量数据,这些数据用于验证模拟器与现场测试,并为将来的预测需求在软轴和强轴方向上的柱载荷产生了高保真度有限元模型。

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