期刊
ENGINEERING FAILURE ANALYSIS
卷 24, 期 -, 页码 67-76出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.engfailanal.2012.03.003
关键词
Forensic analysis; Mining subsidence; Building damages; Radar interferometry; Extensometers
资金
- European Space Agency (ESA) [EO Cat.1-2494]
- Spanish Geological and Mining Institute (IGME) [2004051]
- Spanish Ministry of Education and Science
- EU [TEC2008-06764]
- Generalitat Valenciana [ACOMP/2010/082, BEST-2011/225]
- University of Alicante [VIGROB-114, VIGROB-157, VIGROB-184]
- Industry and Environment Regional Ministry of Murcia (CIMA)
This work presents a forensic analysis of buildings affected by mining subsidence, which is based on deformation data obtained by Differential Interferometry (DInSAR). The proposed test site is La Union village (Murcia, SE Spain) where subsidence was triggered in an industrial area due to the collapse of abandoned underground mining labours occurred in 1998. In the first part of this work the study area was introduced, describing the spatial and temporal evolution of ground subsidence, through the elaboration of a cracks map on the buildings located within the affected area. In the second part, the evolution of the most significant cracks found in the most damaged buildings was monitored using biaxial extensometric units and inclinometers. This article describes the work performed in the third part, where DInSAR processing of satellite radar data, available between 1998 and 2008, has permitted to determine the spatial and temporal evolution of the deformation of all the buildings of the study area in a period when no continuous in situ instrumental data is available. Additionally, the comparison of these results with the forensic data gathered in the 2005-2008 period, reveal that there is a coincidence between damaged buildings, buildings where extensometers register significant movements of cracks, and buildings deformation estimated from radar data. As a result, it has been demonstrated that the integration of DInSAR data into forensic analysis methodologies contributes to improve significantly the assessment of the damages of buildings affected by mining subsidence. (C) 2012 Elsevier Ltd. All rights reserved.
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