Jiazeng Cao, Tao Wang, Yingying Huang, Bin Zhu, Ruilin Li, Guoqing Zhou
{"title":"基于有限调查数据的顶板结构力学行为和失稳风险评估新方法","authors":"Jiazeng Cao, Tao Wang, Yingying Huang, Bin Zhu, Ruilin Li, Guoqing Zhou","doi":"10.1080/17499518.2023.2272986","DOIUrl":null,"url":null,"abstract":"ABSTRACTHow to use limited investigation data to analyse the failure of roof engineering is a challenging problem. In this paper, a novel risk analysis method for the mechanical structure of a roof is proposed. Firstly, the Copula theory is presented and the construction method of multidimensional Gaussian Copula parameters is given. Secondly, a Copula method of the mechanical characteristics and instability risk of roof structure with E, ν, c and φ as uncertain variables is proposed. Thirdly, based on the investigation data of 192 roof groups in China, the influence of Copula mechanical parameters on the failure probability of the roof structure is analysed and discussed. This new evaluation methodology can use various Copula functions to simulate the positive and negative correlation structures, which provides an effective way to clarify the mechanical characteristics and instability risk of roof structure using limited investigation data. The results show that the mechanical failure of the roof structure is mainly at the bottom. As the correlation of mechanical parameters increases, the failure probability of the mechanical structure decreases significantly. In the simulation of positive and negative correlation parameters, Gaussian Copula and No.16 Copula, respectively, make the roof have the smallest failure probability.KEYWORDS: Mechanical behaviourinstability riskroof structurereliabilityfailure probability Additional informationFundingThis research was supported by the National Natural Science Foundation of China [grant numbers 42371133 and 42372329], the Open Fund of State Key Laboratory of Coal Mining and Clean Utilization (China Coal Research Institute) [grant number 2021-CMCU-KF019], the Opening Fund of Technology Innovation Center for Mine Geological Environment Restoration in the Alpine and Arid Regions [grant number HHGCKK2205], and the Opening Fund of Key Laboratory of Geohazard Prevention of Hilly Mountains, Ministry of Natural Resources (Fujian Key Laboratory of Geohazard Prevention) [grant number FJKLGH2023K003].","PeriodicalId":48524,"journal":{"name":"Georisk-Assessment and Management of Risk for Engineered Systems and Geohazards","volume":"42 1","pages":"0"},"PeriodicalIF":6.5000,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Novel evaluation methodology for mechanical behaviour and instability risk of roof structure using limited investigation data\",\"authors\":\"Jiazeng Cao, Tao Wang, Yingying Huang, Bin Zhu, Ruilin Li, Guoqing Zhou\",\"doi\":\"10.1080/17499518.2023.2272986\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACTHow to use limited investigation data to analyse the failure of roof engineering is a challenging problem. In this paper, a novel risk analysis method for the mechanical structure of a roof is proposed. Firstly, the Copula theory is presented and the construction method of multidimensional Gaussian Copula parameters is given. Secondly, a Copula method of the mechanical characteristics and instability risk of roof structure with E, ν, c and φ as uncertain variables is proposed. Thirdly, based on the investigation data of 192 roof groups in China, the influence of Copula mechanical parameters on the failure probability of the roof structure is analysed and discussed. This new evaluation methodology can use various Copula functions to simulate the positive and negative correlation structures, which provides an effective way to clarify the mechanical characteristics and instability risk of roof structure using limited investigation data. The results show that the mechanical failure of the roof structure is mainly at the bottom. As the correlation of mechanical parameters increases, the failure probability of the mechanical structure decreases significantly. In the simulation of positive and negative correlation parameters, Gaussian Copula and No.16 Copula, respectively, make the roof have the smallest failure probability.KEYWORDS: Mechanical behaviourinstability riskroof structurereliabilityfailure probability Additional informationFundingThis research was supported by the National Natural Science Foundation of China [grant numbers 42371133 and 42372329], the Open Fund of State Key Laboratory of Coal Mining and Clean Utilization (China Coal Research Institute) [grant number 2021-CMCU-KF019], the Opening Fund of Technology Innovation Center for Mine Geological Environment Restoration in the Alpine and Arid Regions [grant number HHGCKK2205], and the Opening Fund of Key Laboratory of Geohazard Prevention of Hilly Mountains, Ministry of Natural Resources (Fujian Key Laboratory of Geohazard Prevention) [grant number FJKLGH2023K003].\",\"PeriodicalId\":48524,\"journal\":{\"name\":\"Georisk-Assessment and Management of Risk for Engineered Systems and Geohazards\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":6.5000,\"publicationDate\":\"2023-10-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Georisk-Assessment and Management of Risk for Engineered Systems and Geohazards\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/17499518.2023.2272986\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, GEOLOGICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Georisk-Assessment and Management of Risk for Engineered Systems and Geohazards","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/17499518.2023.2272986","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, GEOLOGICAL","Score":null,"Total":0}
Novel evaluation methodology for mechanical behaviour and instability risk of roof structure using limited investigation data
ABSTRACTHow to use limited investigation data to analyse the failure of roof engineering is a challenging problem. In this paper, a novel risk analysis method for the mechanical structure of a roof is proposed. Firstly, the Copula theory is presented and the construction method of multidimensional Gaussian Copula parameters is given. Secondly, a Copula method of the mechanical characteristics and instability risk of roof structure with E, ν, c and φ as uncertain variables is proposed. Thirdly, based on the investigation data of 192 roof groups in China, the influence of Copula mechanical parameters on the failure probability of the roof structure is analysed and discussed. This new evaluation methodology can use various Copula functions to simulate the positive and negative correlation structures, which provides an effective way to clarify the mechanical characteristics and instability risk of roof structure using limited investigation data. The results show that the mechanical failure of the roof structure is mainly at the bottom. As the correlation of mechanical parameters increases, the failure probability of the mechanical structure decreases significantly. In the simulation of positive and negative correlation parameters, Gaussian Copula and No.16 Copula, respectively, make the roof have the smallest failure probability.KEYWORDS: Mechanical behaviourinstability riskroof structurereliabilityfailure probability Additional informationFundingThis research was supported by the National Natural Science Foundation of China [grant numbers 42371133 and 42372329], the Open Fund of State Key Laboratory of Coal Mining and Clean Utilization (China Coal Research Institute) [grant number 2021-CMCU-KF019], the Opening Fund of Technology Innovation Center for Mine Geological Environment Restoration in the Alpine and Arid Regions [grant number HHGCKK2205], and the Opening Fund of Key Laboratory of Geohazard Prevention of Hilly Mountains, Ministry of Natural Resources (Fujian Key Laboratory of Geohazard Prevention) [grant number FJKLGH2023K003].
期刊介绍:
Georisk covers many diversified but interlinked areas of active research and practice, such as geohazards (earthquakes, landslides, avalanches, rockfalls, tsunamis, etc.), safety of engineered systems (dams, buildings, offshore structures, lifelines, etc.), environmental risk, seismic risk, reliability-based design and code calibration, geostatistics, decision analyses, structural reliability, maintenance and life cycle performance, risk and vulnerability, hazard mapping, loss assessment (economic, social, environmental, etc.), GIS databases, remote sensing, and many other related disciplines. The underlying theme is that uncertainties associated with geomaterials (soils, rocks), geologic processes, and possible subsequent treatments, are usually large and complex and these uncertainties play an indispensable role in the risk assessment and management of engineered and natural systems. Significant theoretical and practical challenges remain on quantifying these uncertainties and developing defensible risk management methodologies that are acceptable to decision makers and stakeholders. Many opportunities to leverage on the rapid advancement in Bayesian analysis, machine learning, artificial intelligence, and other data-driven methods also exist, which can greatly enhance our decision-making abilities. The basic goal of this international peer-reviewed journal is to provide a multi-disciplinary scientific forum for cross fertilization of ideas between interested parties working on various aspects of georisk to advance the state-of-the-art and the state-of-the-practice.