Multi-scale analysis of settlement-induced building damage using damage surveys and DInSAR data: A case study in The Netherlands
Multi-scale analysis of settlement-induced building damage using damage surveys and DInSAR data: A case study in The Netherlands
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DOI：
10.1016/j.enggeo.2016.12.018
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发表时间：
2017-02
影响因子：
7.4
通讯作者：
D. Peduto;G. Nicodemo;J. Maccabiani;S. Ferlisi
中科院分区：
文献类型：
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作者：
D. Peduto;G. Nicodemo;J. Maccabiani;S. Ferlisi
高度可压缩的粘土和泥炭质（软）土可能会使结构（如建筑物）和基础设施（如道路和堤防）暴露在绝对/差异沉降中。随着时间的推移，后者会引起损害，其严重程度取决于以下几个因素：软土层厚度的空间分布；地下水状况；暴露的结构和基础设施的特点及其维护状态。由于建立可靠的预测模型和确定最合适的修复工程所需的大量数据，对损害的分析和由此产生的建筑环境管理通常需要很高的成本。本文提出了一种多尺度的沉降损伤分析方法。选定的案例研究涉及荷兰的一个城市地区，在中等规模上，首先调查了软土在诱发地表沉降发生中的作用。然后，结合高分辨率先进差分干涉合成孔径雷达（DInSAR）和现场损伤调查数据，在大尺度上分析了建筑骨料的因（即沉降）与果（即损伤）之间的关系。最后，作为所提出的多尺度程序的主要新颖之处，上述两个数据集都用于生成单个建筑物的详细尺度经验易损性曲线，一旦进一步验证，这些曲线可以用于类似城市地区的损害预测目的。
Highly compressible clayey and peaty (soft) soils may expose structures (e.g. buildings) and infrastructures (e.g. roads and embankments) resting on them to absolute/differential settlements. These latter, with passing of time, can induce damages whose level of severity depends on several factors such as: the spatial distribution of the thickness pertaining to soft soil layers; the groundwater regime; the characteristics of the exposed structures and infrastructures along with their state of maintenance. The analysis of damages and the resulting management of the built-up environment usually require high costs due to the amount of data necessary for setting up reliable forecasting models as well as for defining the most suitable restoration works. This paper presents a multi-scale procedure tailored to analyze the settlement-induced building damage. The selected case study deals with an urban area in The Netherlands where, at medium scale, the role of soft soils in predisposing the occurrence of ground surface settlements is first investigated. Then, at large scale the relationship between cause (i.e. settlements) and effects (i.e. damage) is analyzed for building aggregates via the combination of high-resolution advanced differential interferometric synthetic aperture radar (DInSAR) and in-situ damage survey data. Finally, as main novelty of the proposed multi-scale procedure, both the above datasets are used to generate, at detailed scale, empirical fragility curves for single buildings that, once further validated, could be valuably adopted for damage forecasting purposes in similar urban areas.