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Cantilevered RC Wall Subjected to Combined Static and Impact Actions

机译:悬臂式的rc墙体经过静态和冲击动作

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A displacement-based (DB) model is introduced in this article alongside its detailed derivations to predict the flexural response behaviour of a cantilevered reinforced concrete (RC) wall that is subjected to combined actions of boulder impact and sustained load (e.g. debris flow). In order to validate the model, a large-scale experiment was carried out by striking a 1.5 m tall, 3 m long and 0.23 m thick reinforced concrete wall using of two impactors weighing 280 kg and 435 kg to simulate different boulder impact intensities. A sustained load of 36 kN was applied to the wall using two prestressed custom-fabricated spring assemblies. Wall deflection and reinforcement tensile strain values measured from the experimental tests are shown to be within about 10-20% of predictions calculated from the proposed DB model. Errors of the predictions are consistently conservative across all the considered impact scenarios. These experimental findings are original given that no impact tests of the scale presented in this paper, which incorporate the effects of co-existing sustained lateral forces (e.g. debris flow), can be found in the literature. The proposed DB model was found to accurately predict both the deflection of the wall as well as the amount of tensile strain experienced by the reinforcement at the base of the wall. This paper concludes with a step-by-step design procedure that utilises the proposed DB model for designing RC rockfall barriers, which will be useful for practitioners aiming for a more optimised barrier design.
机译:在本文中展开了一种基于位移的(DB)模型,其详细的衍生物以预测悬臂钢筋混凝土(RC)壁的弯曲响应行为,该弯曲的膨胀混凝土(RC)壁进行了巨石冲击和持续载荷的组合作用(例如碎片流量)。为了验证模型,通过使用重量280 kg和435公斤的两个撞击器撞击1.5米高,3米长和0.23米厚的钢筋混凝土墙进行大规模的实验,以模拟不同的巨石冲击强度。使用两个预应力定制的春天组件施加36 kn的持续载荷。从实验试验中测量的壁偏转和增强拉伸应变值被显示为从所提出的DB模型计算的预测的约10-20%。预测的错误在所有被认为的影响情景中都是持续保守的。这些实验结果是原始的,因为本文呈现的规模没有含有共同存在的持续侧向力(例如碎片流动)的效果,可以在文献中发现。发现所提出的DB模型精确地预测壁的偏转以及壁底部的加强件所经历的拉伸应变的量。本文得出结论,采用逐步设计程序,利用所提出的DB模型设计RC岩壁障碍,这对于针对更优化的屏障设计的从业者将是有用的。

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