Relationships between the petrographic, physical and mechanical characteristics of sedimentary rocks in Jurassic weakly cemented strata

Wang, Zhenkang; Wang, Qiqing; Liu, Shiliang; Hu, Yanbo; Fan, Kaifang

doi:10.1007/s12665-019-8130-6

Cited by 29 publications

(18 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…P-wave velocity (Vp), a nondestructive parameter, can be obtained easily and it has been found suitable for UCS prediction for different rocks (Altindag, 2012;Dehghan et al, 2010;Karakul & Ulusay, 2013;Rahman & Sarkar, 2021;Selc ¸uk & Nar, 2016;Yagiz, 2011). In addition, many scholars have investigated the correlation between UCS and elastic modulus (E) of rocks by means of simple regression analyses (Dagdelenler et al, 2011;Moradian & Behnia, 2009;Wang et al, 2019). However, few previous researches have attempted to predict rock UCS using tensile strength (r t ) (Mohamad et al, 2015;Rahman et al, 2020;Yesiloglu-Gultekin et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Application of Various Nonlinear Models to Predict the Uniaxial Compressive Strength of Weakly Cemented Jurassic Rocks

Wang

Chen

2021

Nat Resour Res

Self Cite

View full text Add to dashboard Cite

Weakly cemented rocks are distributed widely in Jurassic coal-bearing strata in western China. Their uniaxial compressive strength (UCS), as a crucial mechanical property, is generally used in various rock engineering practices. However, the mechanical weakness of weakly cemented rocks makes it challenging to prepare standard samples of such rocks for testing. To avoid this problem, this study assessed the feasibility of predicting the UCS of weakly cemented rocks using their unit weight, P-wave velocity, tensile strength, and elastic modulus. Several statistical and soft computing methods, namely multiple regression analysis, artificial neural networks, and adaptive neuro-fuzzy inference systems were applied for predicting the UCS of weakly cemented rocks. In addition, their prediction performances were assessed in accordance with root-mean-squared error, value account for, and correlation coefficient. Results of comparison indicated that all of the models employed in this study had good prediction performances, but the adaptive neuro-fuzzy inference system was the most suitable approach for the prediction of the UCS of weakly cemented rocks.

show abstract

Section: Introductionmentioning

confidence: 99%

Application of Various Nonlinear Models to Predict the Uniaxial Compressive Strength of Weakly Cemented Jurassic Rocks

Wang

Chen

2021

Nat Resour Res

Self Cite

View full text Add to dashboard Cite

show abstract

“…Jurassic and Cretaceous weakly cemented strata are widespread in western China due to the special diagenetic environment [1,2]. The weakly cemented strata are dominated by sandstones, which are characterized by poor cementation, susceptibility to weathering, high porosity, and low strength [3].…”

Section: Introductionmentioning

confidence: 99%

“…Krishnan et al [5] managed to prepare samples of weakly cemented sandstones firstly and analyzed microscopic features of broken rocks. Wang et al [2] observed intact sandstones from Jurassic weakly cemented strata using a scanning electronic microscope (SEM), and various tests were further performed to determine the quantitative relationships among mineral concentrations and physical and mechanical parameters. Zhang et al [6] reported the evolution mechanism of the porosity as clay minerals changed in weakly cemented sandstones.…”

Section: Introductionmentioning

confidence: 99%

“…An effective method to estimate macropermeability coefficients using images of SEM was proposed by Yu et al [8] and Li et al [9]. Wang et al [2] estimated the specific permeability using regression analysis based on geometric parameters including pore areas, perimeter and fractal dimension. Bloch and Helmold [10] developed a method to estimate specific permeability by particle-size distribution.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Experimental Study on Seepage Characteristics of Jurassic Weakly Cemented Sandstone under Water-Rock Interaction

Liu

Sun

2020

Geofluids

View full text Add to dashboard Cite

As unconventional water-bearing rocks, the hydraulic conductivity of weakly cemented sandstones can increase by several orders of magnitude during drainages or pumping tests, posing great challenges to water prevention and control of coal mines in northwestern China. In this study, seepage experiments on Jurassic weakly cemented sandstones were performed and the hydraulic conductivity during the seepage process was analyzed. Combined with laboratory test and theoretical analysis methods, the relation between the permeability and micropore structures was studied, and the permeability evolution mechanism of the weakly cemented sandstones was eventually clarified. According to the experimental results, the seepage process can be divided into the saturated seepage stage, the stable seepage stage, and the seepage mutation stage. The hydraulic conductivity increases as the porosity and the mercury extrusion rate increase, but there is no obvious correlation between them that can be identified. In contrast, there is a linear positive correlation between the hydraulic conductivity and the average pore-throat radius. The variation trend of the pore-throat ratio can be used as the main reference indicator for judging whether the seepage mutation occurs in weakly cemented sandstone. Based on the correlation analysis of micropore structures and the hydraulic conductivity, a seepage model of straight capillary was constructed and the theoretical permeability equations of stable seepage stage and seepage mutation stage were proposed. It is concluded that the specific permeability of weakly cemented sandstones is directly proportional to porosity and the square of the average pore-throat radius. A theoretical equation to calculate the specific permeability during the latter two stages was also presented in this paper. Theoretical calculation results are roughly consistent with actual values obtained in the experiments.

show abstract

“…Many researches have done a series of works on the weakly cemented strata in mining areas of Western China. Li et al [1,2] and Wang et al [3] investigated the physical, mechanical features and the failure mode of weakly cemented rocks under uniaxial and triaxial compression process. Wang et al [4] and Sanborn et al [5] carried out many dynamic Brazilian tests of Geo-materials to analyze the deformation features.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation on the tensile properties of weakly cemented sandstone in China Shendong Mining Area

Zhi-hu

Liu

et al. 2020

Therm sci

View full text Add to dashboard Cite

To investigate the tensile properties of weakly cemented rock samples at Shendong Mining Area. Four common weakly cemented rocks are subjected to Brazilian Splitting Test, and both the acoustic emission signals and deformation field are monitored simultaneously. Thus, deformation and acoustic emission features were analyzed in different rock samples. Moreover, the relationship between the evolution of localization belt and acoustic emission features was identified. The results show that the samples displayed similar deformation features and that the evolution of R value is also basically consistent.

show abstract

Relationships between the petrographic, physical and mechanical characteristics of sedimentary rocks in Jurassic weakly cemented strata

Cited by 29 publications

References 38 publications

Application of Various Nonlinear Models to Predict the Uniaxial Compressive Strength of Weakly Cemented Jurassic Rocks

Application of Various Nonlinear Models to Predict the Uniaxial Compressive Strength of Weakly Cemented Jurassic Rocks

Experimental Study on Seepage Characteristics of Jurassic Weakly Cemented Sandstone under Water-Rock Interaction

Experimental investigation on the tensile properties of weakly cemented sandstone in China Shendong Mining Area

Contact Info

Product

Resources

About