Pub Date : 2023-10-25DOI: 10.1080/19475705.2023.2272574
Tianxuan Hao, Meiqi Yuan, Fan Li, Guoqing Wang
To explore the quantification method of infrared thermal image characteristics in the coal loaded-damage process and better reflect the infrared precursor information and damage evolution of coal, in this paper, a new index based on the color extraction of thermal image pixel points, infrared high-temperature anomaly area ratio (IHAR), is proposed to quantitatively analyze the infrared thermal image characteristics in combination with image processing technology. The results show that: after the denoising and enhancement based on the double-domain decomposition and improved CLAHE algorithm, the infrared thermal image effect is improved; the change of IHAR index is controlled by stress, with significant characteristics of stages, which are synchronized and consistent with the infrared thermal image sequence; The precursors of IHAR show significant increase and fluctuation, and the time point is around 60% to 65% of the peak stress; compared with other infrared indicators, IHAR is better in terms of stage, easy identification of precursors, and validity of damage characterization, which can effectively reflect the evolution process of coal loaded damage, and provide early warning information for coal destabilization monitoring.
{"title":"Quantitative analysis method for infrared characterization of coal damage under load based on image enhancement and pixel extraction","authors":"Tianxuan Hao, Meiqi Yuan, Fan Li, Guoqing Wang","doi":"10.1080/19475705.2023.2272574","DOIUrl":"https://doi.org/10.1080/19475705.2023.2272574","url":null,"abstract":"To explore the quantification method of infrared thermal image characteristics in the coal loaded-damage process and better reflect the infrared precursor information and damage evolution of coal, in this paper, a new index based on the color extraction of thermal image pixel points, infrared high-temperature anomaly area ratio (IHAR), is proposed to quantitatively analyze the infrared thermal image characteristics in combination with image processing technology. The results show that: after the denoising and enhancement based on the double-domain decomposition and improved CLAHE algorithm, the infrared thermal image effect is improved; the change of IHAR index is controlled by stress, with significant characteristics of stages, which are synchronized and consistent with the infrared thermal image sequence; The precursors of IHAR show significant increase and fluctuation, and the time point is around 60% to 65% of the peak stress; compared with other infrared indicators, IHAR is better in terms of stage, easy identification of precursors, and validity of damage characterization, which can effectively reflect the evolution process of coal loaded damage, and provide early warning information for coal destabilization monitoring.","PeriodicalId":51283,"journal":{"name":"Geomatics Natural Hazards & Risk","volume":"20 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135166079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-09DOI: 10.1080/19475705.2023.2266663
Yuan Gao, Jinduo Li, Tianhong Yang, Wenxue Deng, Dongming Wang, Hao Cheng, Kai Ma
Accurate input of geological elements is essential for evaluating or predicting natural hazards such as subsidence, landslides, and earthquakes. This paper proposes an approach to carry out an open pit’s overall and whole-process mechanical analysis with complex geological conditions, using precise modeling and large-scale parallel calculation techniques. Taking the Fushun West Open-pit Mine (the largest open-pit coal mine in Asia) as an example, through the elaborate multi-method geological investigation, the interfaces of interbedded shales and mudstones, the unloading zones, and the small structures were identified, a detailed 3D geological model was built and finely meshed in full-size with 100 million degrees of freedom, large-scale parallel numerical simulation was then performed, the results agree well with the InSAR monitoring data and in situ observations. Besides, the simulation can replicate the landslides in recent years. Through the simulation, it is possible to locate the potential landslide area, and targeted backfilling schemes for stability treatment were put forward and further simulated. The results indicate that the proposed approach can more effectively and reliably evaluate the Fushun West Open-pit Mine’s overall slope stability and closure plan.
{"title":"Stability analysis of a deep and large open pit based on fine geological modeling and large-scale parallel computing: a case study of Fushun West Open-pit Mine","authors":"Yuan Gao, Jinduo Li, Tianhong Yang, Wenxue Deng, Dongming Wang, Hao Cheng, Kai Ma","doi":"10.1080/19475705.2023.2266663","DOIUrl":"https://doi.org/10.1080/19475705.2023.2266663","url":null,"abstract":"Accurate input of geological elements is essential for evaluating or predicting natural hazards such as subsidence, landslides, and earthquakes. This paper proposes an approach to carry out an open pit’s overall and whole-process mechanical analysis with complex geological conditions, using precise modeling and large-scale parallel calculation techniques. Taking the Fushun West Open-pit Mine (the largest open-pit coal mine in Asia) as an example, through the elaborate multi-method geological investigation, the interfaces of interbedded shales and mudstones, the unloading zones, and the small structures were identified, a detailed 3D geological model was built and finely meshed in full-size with 100 million degrees of freedom, large-scale parallel numerical simulation was then performed, the results agree well with the InSAR monitoring data and in situ observations. Besides, the simulation can replicate the landslides in recent years. Through the simulation, it is possible to locate the potential landslide area, and targeted backfilling schemes for stability treatment were put forward and further simulated. The results indicate that the proposed approach can more effectively and reliably evaluate the Fushun West Open-pit Mine’s overall slope stability and closure plan.","PeriodicalId":51283,"journal":{"name":"Geomatics Natural Hazards & Risk","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135095833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The strength deterioration and fracture tendency of freeze-thaw rock determine the construction and operation safety of rock engineering. This article conducted compression-shear composite load tests on sandstones with various saturations to examine the failure law of rocks in cold climates and the contributing elements of strength degradation. It was found that with an increase in saturation and loading angle, the compressive strength and elastic modulus dropped. The concept of freeze crack threshold and saturation threshold was proposed. The peak shear stress was negatively correlated with saturation and positively correlated with loading angle. The σCI (crack initiation stress) and σCD (crack damage stress) in the saturated state were only 39.91% and 45.18% of those in the dry state. Serious damage occurred at high saturations, which is consistent with the scanning electron microscopy results. The σCI and σCD under 30°loading angle are 49.72% and 42.91% of those under uniaxial, respectively. This is mainly due to the change of the failure mode from tensile-shear failure to combined tension-shear failure, and finally to single-shear failure. A strength prediction model was established based on sandstone damage characteristics. The research results have important reference value for rock engineering design in frigid climates and complex load environments.
{"title":"The influence of saturation and loading angle on sandstone damage characteristics after freeze-thaw cycle","authors":"Shihao Yuan, Jiaxu Jin, Xiaoli Liu, Shaohua Li, Bing Liang","doi":"10.1080/19475705.2023.2250526","DOIUrl":"https://doi.org/10.1080/19475705.2023.2250526","url":null,"abstract":"The strength deterioration and fracture tendency of freeze-thaw rock determine the construction and operation safety of rock engineering. This article conducted compression-shear composite load tests on sandstones with various saturations to examine the failure law of rocks in cold climates and the contributing elements of strength degradation. It was found that with an increase in saturation and loading angle, the compressive strength and elastic modulus dropped. The concept of freeze crack threshold and saturation threshold was proposed. The peak shear stress was negatively correlated with saturation and positively correlated with loading angle. The σCI (crack initiation stress) and σCD (crack damage stress) in the saturated state were only 39.91% and 45.18% of those in the dry state. Serious damage occurred at high saturations, which is consistent with the scanning electron microscopy results. The σCI and σCD under 30°loading angle are 49.72% and 42.91% of those under uniaxial, respectively. This is mainly due to the change of the failure mode from tensile-shear failure to combined tension-shear failure, and finally to single-shear failure. A strength prediction model was established based on sandstone damage characteristics. The research results have important reference value for rock engineering design in frigid climates and complex load environments.","PeriodicalId":51283,"journal":{"name":"Geomatics Natural Hazards & Risk","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134912352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-05DOI: 10.1080/19475705.2023.2253972
Hari Shankar, Prakash Chauhan, D. Singh, Ravi Bhandari, C. M. Bhatt, Arijit Roy, Suresh Kannaujiya, Raghavendra Pratap Singh
{"title":"Multi-temporal InSAR and Sentinel-1 for assessing land surface movement of Joshimath town, India","authors":"Hari Shankar, Prakash Chauhan, D. Singh, Ravi Bhandari, C. M. Bhatt, Arijit Roy, Suresh Kannaujiya, Raghavendra Pratap Singh","doi":"10.1080/19475705.2023.2253972","DOIUrl":"https://doi.org/10.1080/19475705.2023.2253972","url":null,"abstract":"","PeriodicalId":51283,"journal":{"name":"Geomatics Natural Hazards & Risk","volume":"37 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2023-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85332308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-28DOI: 10.1080/19475705.2023.2250517
Haftu Abrha, S. Dodiomon, V. Ongoma, Haftom Hagos, Emiru Birhane
{"title":"Spatio-temporal prediction of climate and wildfire in Hugumbrda Grat-Kahsu forest, Tigray: priority for early warning","authors":"Haftu Abrha, S. Dodiomon, V. Ongoma, Haftom Hagos, Emiru Birhane","doi":"10.1080/19475705.2023.2250517","DOIUrl":"https://doi.org/10.1080/19475705.2023.2250517","url":null,"abstract":"","PeriodicalId":51283,"journal":{"name":"Geomatics Natural Hazards & Risk","volume":"350 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77717034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-25DOI: 10.1080/19475705.2023.2250531
Jorge-Mario Lozano, Elliot Nichols, J. Frost, I. Tien
{"title":"Spatial and temporal evolution of post-disaster data for damage assessment of civil infrastructure systems","authors":"Jorge-Mario Lozano, Elliot Nichols, J. Frost, I. Tien","doi":"10.1080/19475705.2023.2250531","DOIUrl":"https://doi.org/10.1080/19475705.2023.2250531","url":null,"abstract":"","PeriodicalId":51283,"journal":{"name":"Geomatics Natural Hazards & Risk","volume":"50 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77685070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-10DOI: 10.1080/19475705.2023.2240943
Na Sun, Cailin Li, Baoyun Guo, Xiaokai Sun, Yukai Yao, Y. Wang
{"title":"Urban flooding risk assessment based on FAHP–EWM combination weighting: a case study of Beijing","authors":"Na Sun, Cailin Li, Baoyun Guo, Xiaokai Sun, Yukai Yao, Y. Wang","doi":"10.1080/19475705.2023.2240943","DOIUrl":"https://doi.org/10.1080/19475705.2023.2240943","url":null,"abstract":"","PeriodicalId":51283,"journal":{"name":"Geomatics Natural Hazards & Risk","volume":"49 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74363301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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