A Mathematical Model for Calculating the “Brittleness-Ductility” Drop Coefficient of Sandstone in Mining Zones

Shi, Guodong; Cheng, Baoquan; Li, An

doi:10.1155/2020/2621672

Cited by 8 publications

(7 citation statements)

References 18 publications

(18 reference statements)

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“…According to Equation (9), we calculated the correlation matrix of each WSER at the index-tier (Table 11). Using the Equation (11) and index weights in Tables 3-7, the correlation matrix of each risk category can be generated (Table 12). In applying the above computation, the correlation matrix of risk of the overall MG subproject can be produced (Table 13).…”

Section: Calculate the Correlation Matrix And Determine The Rating Ofmentioning

confidence: 99%

“…For instance, the Sichuan-Tibet railway must cross the karst-mountain EFR and compound-eroding EFR in the southwest of China [9]. The impacts of constructing railway in EFRs are bidirectional: The complicated soil-water environmental conditions cause more difficulties during construction; and on the contrary, construction activities would destroy the local water-soil environment (WSE) in EFRs [10,11]. The improper design and construction schemes tend to cause water and soil losses.…”

Section: Introductionmentioning

confidence: 99%

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A Comprehensive Assessment Approach for Water-Soil Environmental Risk during Railway Construction in Ecological Fragile Region Based on AHP and MEA

Chen

Wang

et al. 2020

Sustainability

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With China’s government facilitating railway projects, more railway lines inevitably pass through ecological fragile regions (EFRs). Railway construction activities in EFRs might cause detrimental impacts on the local water-soil environment (WSE), which is the basis of the local ecological system that if destroyed can induce secondary disasters. Studies on the WSE risk (WSER) during railway construction in EFRs are limited. As such, this study aims to offer preliminary insight into the WSER assessment of railway construction in EFRs. WSERs were identified firstly based on the literature review and field surveys, and thus a risk index framework for WSER assessment including 5 categories of WSERs and 16 second-order risks was established. Then a comprehensive quantitative assessment method was developed by integrating analytic hierarchy process (AHP) and matter-element analysis (MEA) to assess the overall WSERs of railway construction in EFRs. A case (i.e., the Mingan subproject of Hefei-Fuzhou railway) was selected to demonstrate and validate the developed approach. Results show that the proposed assessment approach can be applied to evaluate the WSERs during railway construction. In addition, the case study demonstrates that the risk of construction methods should be the key focus. Findings from this study enrich the knowledge body of sustainable railways and guide the project managers to conduct practical WSER assessment of railway construction.

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Section: Calculate the Correlation Matrix And Determine The Rating Ofmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Comprehensive Assessment Approach for Water-Soil Environmental Risk during Railway Construction in Ecological Fragile Region Based on AHP and MEA

Chen

Wang

et al. 2020

Sustainability

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“…According to the cube compressive strength obtained before this study, the peak load was estimated, and the specimens were preloaded once before formal loading with 10–20% of the peak load. After formal loading, it terminated when the load dropped to 15% of the peak load [ 67 , 68 ].…”

Section: Experimental Programmentioning

confidence: 99%

The Study on the Whole Stress–Strain Curves of Coral Fly Ash-Slag Alkali-Activated Concrete under Uniaxial Compression

Wang

et al. 2020

Materials

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This study aimed to research the whole stress–strain curves of coral Fly Ash-Slag Alkali-Activated Concrete (CAAC) in different strength grades. Fly ash-slag alkali-activated concrete was used as cementing materials to produce coral aggregate concrete. A monotonic loading test was conducted on the prismatic specimens to obtain elastic modulus (Ec), Poisson’s ratio (μ) and the constitutive relationship of CAAC under uniaxial compression. When the strain of CAAC reached the maximum value, the specimen was split and damaged rapidly. As the strength grade increased, the ratio of residual stress (σri) to peak stress (σ0i) decreased in the range of 0.17–0.28. The Ec of CAAC increased gradually, and μ increased to the peak value and then decreased. According to the test results, the constitutive equation of CAAC can be expressed by piecewise expression, which can better reflect all the experimental characteristics. It was also found that CAAC has many similar characteristics with coral concrete and lightweight aggregate concrete. To improve the strength and toughness of CAAC, some fibers, such as organic fiber, can be added to expand the application of CAAC in engineering projects.

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“…e construction works have always been criticized for high injury and fatality rates across the world, and construction accidents caused huge losses to the government, industry, enterprises, and the workers themselves [1][2][3]. According to the statistic of China's Ministry of Housing and Urban Rural Development (MHURD), 773 accidents resulted in 904 deaths in the construction and municipal engineering sector in 2019 [4].…”

Section: Introductionmentioning

confidence: 99%

Tunnel Construction Workers’ Cognitive Biases and Unsafe Behaviors: The Mediating Effects of Risk Perceptions

Chen

Zhao

et al. 2020

Advances in Civil Engineering

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The poor safety performance of the construction industry is a global concern. Workers’ unsafe behaviors (WUBs) are viewed as critical causes of construction accidents. Thus, it has been a leading research topic to identify antecedents of WUBs and establish reliable models to explain WUBs. Cognitive biases (CBs) are salient antecedents of WUBs. However, the relationships between CBs and WUBs are not further explored in construction safety management. As such, this study selected three prevalent CBs, i.e., availability bias (AB), confirmation bias (FB), and overconfidence, and investigated the relationships between the three CBs and WUBs and the functions of RPs in these relationships among tunnel construction workers. We established six multiple regression models. Research results show that CBs can directly influence RPs and WUBs, RPs are antecedents of WUBs, and the mediating effect of RPs on the relationships between CBs and WUBs is salient. In detail, AB and FB explain more ERP and overconfidence explains more BRP. AB and FB indirectly influence more WUBs through ERP, while overconfidence indirectly affects more WUBs through BRP. The study provides a novel theoretical paradigm for conceptualizing CBs and their relationships with RPs and WUBs. The research results can also guide managers to take debiasing measures to decrease workers’ unsafe behaviors on the construction site.

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A Mathematical Model for Calculating the “Brittleness-Ductility” Drop Coefficient of Sandstone in Mining Zones

Cited by 8 publications

References 18 publications

A Comprehensive Assessment Approach for Water-Soil Environmental Risk during Railway Construction in Ecological Fragile Region Based on AHP and MEA

A Comprehensive Assessment Approach for Water-Soil Environmental Risk during Railway Construction in Ecological Fragile Region Based on AHP and MEA

The Study on the Whole Stress–Strain Curves of Coral Fly Ash-Slag Alkali-Activated Concrete under Uniaxial Compression

Tunnel Construction Workers’ Cognitive Biases and Unsafe Behaviors: The Mediating Effects of Risk Perceptions

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