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The Stability Analysis Of Soil Cave Under The Subgrade In Karst Region

Posted on:2015-05-27Degree:MasterType:Thesis
Country:ChinaCandidate:X X WangFull Text:PDF
GTID:2272330434953590Subject:Traffic and Transportation Engineering
Abstract/Summary:
Abstract:It is one of the important technique problems of expressway construction to analyze and evaluate the stability of roadbed foundations in karst region at home and abroad.The factors of roadbed foundations stability in karst are numerous and connected.The existing method of analyzing the stability of roadbed foundations in karst region mostly are qualitative or semi-quantitative, which are not enough reliable for unaccountably reflecting the possible parameters related to those processes. It deserves further research for theoretically seeking a more reasonable analytical method and application.Firstly, The paper analyzes the sinkhole’s formation condition, development laws and mechanism systematically and roundly and summarizes the reasons of the stability of roadbed foundations in karst region which include aspects of lithology, tectonic development, karst cave, groundwater, and gravity and artificial load, which provides a theory basis for analyzing the stability of roadbed foundations in karst region.Secondly, through summarizing the existing evaluation model and method of karst roadbed stability, Combined with grey fuzzy multiple attributed decision making (GFMADM) and analytic hierarchy process (AHP), the conception and method of fuzzy multiple hierarehy multiple attribute decision making (GFMHMADM) is put forward and the GFMHMADM models of roof stability of caves under roadbed are developed in this paper.Finally, use the expressway Loudi to Xinhua as a example, the GFMHMADM method of roof stability of cave under roadbed in this expressway route is established, the condition of the stability of roadbed foundations is synthetically evaluated. and its applicability is verified.
Keywords/Search Tags:Karst, development mechanism, stability evaluation, grey fuzzy multiple attributed decision making(GFMADM)
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