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首页> 外文期刊>Soil Dynamics and Earthquake Engineering >Key predictors of structure settlement on liquefiable ground: a numerical parametric study
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Key predictors of structure settlement on liquefiable ground: a numerical parametric study

机译:可液化地面上结构沉降的主要预测指标:数值参数研究

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摘要

Excessive building settlement and tilt on liquefiable soils has led to significant damage in previous earthquakes. The state-of-practice for evaluating liquefaction-induced building settlement still primarily relies on semi-empirical free-field relationships that have repeatedly been shown as unreliable and inaccurate during field and physical model studies. This is because these methods ignore the presence of the building, soil-foundation-structure interaction, and some of the dominant mechanisms of deformation near buildings. In a comprehensive numerical parametric study, the dynamic response of the soil-foundation-structure (SFS) system was assessed with a wide range of soil, structure, and ground motion characteristics. The primary objectives were: first, to identify the key predictors of foundation settlement and study their relative importance and interdependence; and second, to provide a comprehensive and mechanistically-sound dataset for the future development of a probabilistic predictive model of building settlement. The numerical simulations involved fully-coupled, 3-dimensional, nonlinear dynamic analyses of the SFS system, previously validated using centrifuge experimental results. For the conditions considered, the key predictors of building settlement were identified as the cumulative absolute velocity (CAV) of the outcropping rock motion, the relative density of, thickness of, and depth to the liquefiable layer(s), presence of a low-permeability cap, followed by foundation length-to-width ratio, embedment depth, contact area, and bearing pressure. The structure’s inertial mass and height/width ratio as well as the initial fundamental period of the structure and site were comparatively less influential. The relative importance and influence of most input parameters were shown to depend on ground motion intensity (e.g., CAV) and soil relative density.
机译:过多的建筑物沉降和在可液化土壤上的倾斜已导致先前地震的严重破坏。评估液化引起的建筑物沉降的实践状态仍然主要依赖于半经验自由场关系,这种关系在田间和物理模型研究中屡屡被证明是不可靠和不准确的。这是因为这些方法忽略了建筑物的存在,土壤-基础-结构之间的相互作用以及建筑物附近一些主要的变形机制。在一项全面的数值参数研究中,对土壤-基础-结构(SFS)系统的动力响应进行了评估,并具有广泛的土壤,结构和地震动特征。主要目标是:首先,确定基础沉降的主要预测因子,并研究其相对重要性和相互依赖性;第二,为建筑物沉降的概率预测模型的未来发展提供一个综合的,机制完善的数据集。数值模拟涉及SFS系统的全耦合,三维非线性动力学分析,之前已使用离心机实验结果进行了验证。对于所考虑的条件,建筑物沉降的主要预测因子被确定为露头岩石运动的累积绝对速度(CAV),可液化层的相对密度,厚度和深度,是否存在低渗层。渗透率上限,然后是地基长宽比,包埋深度,接触面积和轴承压力。结构的惯性质量和高度/宽度比以及结构和位置的初始基本周期的影响相对较小。已显示大多数输入参数的相对重要性和影响取决于地面运动强度(例如CAV)和土壤相对密度。

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