Prediction of unconfined compressive strength and deformation modulus of weak argillaceous rocks based on the standard penetration test

Asem, Pouyan

doi:10.1016/j.ijrmms.2020.104397

Cited by 10 publications

(4 citation statements)

References 33 publications

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“…Young’s modulus, Poisson’s ratio, and stress–strain curves are usually used to characterize the mechanical properties. Unconfined compressive stress (UCS) 33 where P is the maximum load at failure of the specimen, N, and A is the sample area, mm 2 . Young’s modulus 34 Poisson’s ratio 34 where E is Young’s modulus, GPa; v is Poisson’s ratio; and λ and μ are Lamé coefficients, GPa.…”

Section: Simulation and Calculation Methodsmentioning

confidence: 99%

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Swelling Characteristics and Interaction Mechanism of High-Rank Coal during CO₂ Injection: A Molecular Simulation Study

Dong

Zhai²,

Jia

2022

ACS Omega

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In CO 2 -enhanced coalbed methane (CO 2 -ECBM) engineering, accurate knowledge of the interaction mechanism of CO 2 and coal matrix is crucial for improving the recovery of CH 4 and contributing to the geological sequestration of CO 2 . This study is performed to prove the accuracy of molecular simulation and calculate the variation characteristics of pore structure, volumetric strain, mechanical properties, Fourier transform infrared (FT-IR) spectra, and the system free energy by molecular dynamics (MD) and grand canonical Monte Carlo (GCMC) methods. According to the obtained results, a relationship between pore structure, swelling strain, mechanical properties, chemical structure, and surface free energy was established. Then, the correlation of various coal change characteristics was analyzed to elucidate the interaction mechanism between CO 2 and coal. The results showed that (1) the molecular simulation method was able to estimate the swelling mechanism of CO 2 and coal. However, because the adsorption capacity of the molecular simulate is greater than that of the experiment and the raw coal is softer than the macromolecular structure, the molecular results are slightly better than the experimental results. (2) As pressure increased from 0 to 4 MPa, the intramolecular pores and sorption-induced strain changed significantly, whereas when the pressure increased from 4 to 8 MPa (especially at 6–8 Mpa), there was an increase of the intermolecular pores and mechanical properties and transition from elastic to plastic. In addition, when the pressure was >8 MPa, the coal matrix changed slightly. ScCO 2 with a higher adsorption capacity results in greater damage and causes larger alterations of coal mechanical properties. (3) The change of the coal matrix is essentially controlled by the surface free energy of the molecular system. E valence affects the aromatic structure and changes the volume of the intramolecular pores, thus affecting the sorption-induced strain change rate. E non affects the length of side chains and the disorder degree of coal molecules and changes the volume of the intramolecular pores, thus affecting the mechanical property change rate. Our findings shed light on the dynamic process of coal swelling and provide a theoretical basis for CO 2 enhancing the recovery of CH 4 gas in coal.

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Section: Simulation and Calculation Methodsmentioning

confidence: 99%

“…Unconfined compressive stress (UCS) 33 where P is the maximum load at failure of the specimen, N, and A is the sample area, mm 2 .…”

Section: Simulation and Calculation Methodsmentioning

confidence: 99%

Swelling Characteristics and Interaction Mechanism of High-Rank Coal during CO₂ Injection: A Molecular Simulation Study

Dong

Zhai²,

Jia

2022

ACS Omega

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“…Moreover, Jha and Suzuki (2009) proposed a soil liquefaction assessment method based on the standard penetration test. Finally, Asem (2020) applied the standard penetration test to determine mudstone strength and deformation modulus. The needle penetration test is a convenient method used to test the mechanical properties of soft rock without requiring sample preparation (Ulusay et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Bearing capacity of driven pile and determination of inhomogeneous mudstone around the pile

et al. 2023

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Whether the inhomogeneity of mudstone foundation leads to abnormal bearing capacity of the driven pile remains controversial. This study introduces the standard penetration test hammering number and needle penetration strength for quantitative analysis by macroscopic observation of the engineering field on the mudstone stratum self-structure and microscopic observation by simple and feasible electronic magnification. The analysis of typical engineering examples demonstrated that the abnormal bearing capacity of piles in the mudstone stratum was related to mudstone inhomogeneity. This study also proposes a method of evaluating mudstone uniformity using the heterogeneous index η, in which η > 2 suggests the need for engineering measures. These findings assist in determining a reasonable solution to the problem of abnormal bearing capacity at driven piles in mudstone foundations.

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“…In addition, this value is critical for assessing the stability of engineering structures before and after failure by evaluating the behavior of the rock masses [1][2][3][4][5]. Due to the complexity of the rock mass, using various in situ test methods for determining the deformation modulus of a rock mass directly in the field is difficult and time-consuming, and the results may not be trustworthy [1,[6][7][8][9][10][11][12][13][14][15][16][17][18]. In addition, the field determination technique for rock mass deformation may include in situ uncertainty and rock surface damage resulting from test blasts [9,[19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34].…”

Section: Introductionmentioning

confidence: 99%

An Appropriate Model for the Prediction of Rock Mass Deformation Modulus among Various Artificial Intelligence Models

et al. 2022

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The rock mass deformation modulus (Em) is an essential input parameter in numerical modeling for assessing the rock mass behavior required for the sustainable design of engineering structures. The in situ methods for determining this parameter are costly and time consuming. Their results may not be reliable due to the presence of various natures of joints and following difficult field testing procedures. Therefore, it is imperative to predict the rock mass deformation modulus using alternate methods. In this research, four different predictive models were developed, i.e., one statistical model (Muti Linear Regression (MLR)) and three Artificial Intelligence models (Artificial Neural Network (ANN), Random Forest Regression (RFR), and K-Neighbor Network (KNN)) by employing Rock Mass Rating (RMR89) and Point load index (I50) as appropriate input variables selected through correlation matrix analysis among eight different variables to propose an appropriate model for the prediction of Em. The efficacy of each predictive model was evaluated by using four different performance indicators: performance coefficient R2, Mean Absolute Error (MAE), Mean Squared Error (MSE), and Median Absolute Error (MEAE). The results show that the R2, MAE, MSE, and MEAE for the ANN model are 0.999, 0.2343, 0.2873, and 0.0814, respectively, which are better than MLR, KNN, and RFR. Therefore, the ANN model is proposed as the most appropriate model for the prediction of Em. The findings of this research will provide a better understanding and foundation for the professionals working in fields during the prediction of various engineering parameters, especially Em for sustainable engineering design in the rock engineering field.

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Prediction of unconfined compressive strength and deformation modulus of weak argillaceous rocks based on the standard penetration test

Cited by 10 publications

References 33 publications

Swelling Characteristics and Interaction Mechanism of High-Rank Coal during CO₂ Injection: A Molecular Simulation Study

Swelling Characteristics and Interaction Mechanism of High-Rank Coal during CO₂ Injection: A Molecular Simulation Study

Bearing capacity of driven pile and determination of inhomogeneous mudstone around the pile

An Appropriate Model for the Prediction of Rock Mass Deformation Modulus among Various Artificial Intelligence Models

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Prediction of unconfined compressive strength and deformation modulus of weak argillaceous rocks based on the standard penetration test

Cited by 10 publications

References 33 publications

Swelling Characteristics and Interaction Mechanism of High-Rank Coal during CO2 Injection: A Molecular Simulation Study

Swelling Characteristics and Interaction Mechanism of High-Rank Coal during CO2 Injection: A Molecular Simulation Study

Bearing capacity of driven pile and determination of inhomogeneous mudstone around the pile

An Appropriate Model for the Prediction of Rock Mass Deformation Modulus among Various Artificial Intelligence Models

Contact Info

Product

Resources

About

Swelling Characteristics and Interaction Mechanism of High-Rank Coal during CO₂ Injection: A Molecular Simulation Study

Swelling Characteristics and Interaction Mechanism of High-Rank Coal during CO₂ Injection: A Molecular Simulation Study