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Seismic vulnerability of the Himalayan half-dressed rubble stone masonry structures, experimental and analytical studies

机译:喜马拉雅半成品碎石砌体结构的地震易损性,实验和分析研究

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摘要

Half-Dressed rubble stone (DS) masonry structures as found in the Himalayan region are investigated using experimental and analytical studies. The experimental study included a shake table test on a one-third scaled structural model, a representative of DS masonry structure employed for public critical facilities, e.g. school buildings, offices, health care units, etc. The aim of the experimental study was to understand the damage mechanism of the model, develop damage scale towards deformation-based assessment and retrieve the lateral force-deformation response of the model besides its elastic dynamic properties, i.e. fundamental vibration period and elastic damping. The analytical study included fragility analysis of building prototypes using a fully probabilistic nonlinear dynamic method. The prototypes are designed as SDOF systems assigned with lateral, force-deformation constitutive law (obtained experimentally). Uncertainties in the constitutive law, i.e. lateral stiffness, strength and deformation limits, are considered through random Monte Carlo simulation. Fifty prototype buildings are analyzed using a suite of ten natural accelerograms and an incremental dynamic analysis technique. Fragility and vulnerability functions are derived for the damageability assessment of structures, economic loss and casualty estimation during an earthquake given the ground shaking intensity, essential within the context of risk assessment of existing stock aiming towards risk mitigation and disaster risk reduction.
机译:使用实验和分析研究调查了在喜马拉雅地区发现的半装饰瓦砾石(DS)砌体结构。实验研究包括在三分之一比例的结构模型上进行的振动台测试,该模型是用于公共关键设施(例如公共空间)的DS砌体结构的代表。实验研究的目的是了解模型的损伤机理,为基于变形的评估制定损伤量表,并获取模型的弹性动力以外的横向力-变形响应。特性,即基本振动周期和弹性阻尼。分析研究包括使用完全概率非线性动力学方法对建筑原型进行脆弱性分析。原型设计为分配有横向力-变形本构关系的SDOF系统(通过实验获得)。通过随机蒙特卡洛模拟考虑本构定律的不确定性,即横向刚度,强度和变形极限。使用一组十个自然加速度图和增量动态分析技术来分析五十座原型建筑。在给出地面震动强度的情况下,推导了脆弱性和脆弱性函数,用于结构的破坏性评估,地震期间的经济损失和人员伤亡估计,这在旨在降低风险和减少灾害风险的现有存货的风险评估中至关重要。

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