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灰色关联法在青海明长城单体建筑病害与危险性评价中的应用
引用本文:彭虹智, 谌文武, 林高潮, 伏祥龙. 2016: 灰色关联法在青海明长城单体建筑病害与危险性评价中的应用. 工程地质学报, 24(s1): 149-155. DOI: 10.13544/j.cnki.jeg.2016.s1.022
作者姓名:彭虹智  谌文武  林高潮  伏祥龙
作者单位:1.兰州大学西部灾害与环境力学教育部重点实验室 兰州 730000;;2.兰州大学土木工程与力学学院 兰州 730000
基金项目:国家科技支撑计划项目(2013BAK01B01)资助
摘    要:土遗址保护是目前国内外文物保护研究的热点问题,但关于土遗址的病害量化,各病害间的关联程度以及土遗址的危险性评价却少有研究。通过对青海省湟中明长城的17个单体建筑-烽火台的现场调查,采用灰色关联理论分析坍塌体积、掏蚀体积、冲沟体积、裂隙长度、洞穴体积、片状剥离面积、生物破坏面积7个影响因子的权重及关联性,并建立土遗址单体的危险性评价模型进而对其进行危险性评价,最终确定各单体建筑的危险程度。

关 键 词:土遗址病害  灰色关联理论  权重确定  危险性评价
收稿时间:2016-02-25
修稿时间:2016-05-20

APPLICATION OF GRAY CORRELATION METHOD IN THE DISEASE AND RISK ASSESSMENT OF THE SINGLE BUILDING OF THE MING DYNASTY GREAT WALL IN QINGHAI
PENG Hongzhi, CHEN Wenwu, LIN Gaochao, FU Xianglong. 2016: APPLICATION OF GRAY CORRELATION METHOD IN THE DISEASE AND RISK ASSESSMENT OF THE SINGLE BUILDING OF THE MING DYNASTY GREAT WALL IN QINGHAI. JOURNAL OF ENGINEERING GEOLOGY, 24(s1): 149-155. DOI: 10.13544/j.cnki.jeg.2016.s1.022
Authors:PENG Hongzhi  CHEN Wenwu  LIN Gaochao  FU Xianglong
Affiliation:1.Key Laboratory of Mechanics on Disaster and Environment in Western China, Lanzhou University, Ministry of Education, Lanzhou 730000;;2.School of Civil Engineering and Mechanics Lanzhou University, Lanzhou 730000
Abstract:In the world at present, while the site protection is a hot issue in the research of the protection of cultural relics, the quantification of earthen site, the correlation between diseases and risk assessment of soil sites are less studied. Based on the field investigation of 17 beacon towers of the Ming Dynasty great wall in Qinghai, the weight and relevance of collapse volume, undercutting volume, gully volume, fracture length, cave volume, surface stripping size, biodeterioration area 7 factors are analysed, and the risk assessment model of these single building is established through the grey correlation theory. On the basis of this model, the risk level of each beacon is finally determined.
Keywords:Deterioration of earthen sites  Grey correlation theory  Weight definition  Risk assessment
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