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Dr. Yuantian Sun
School of Mines, China University of Mining and Technology, Xuzhou, China

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0 cement paste
0 Waste reuse
0 Tailing concrete
0 Recycle of mining waste
0 Green concrete materials

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Journal article
Published: 28 August 2021 in Applied Sciences
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The roadway stability has been regarded as the main challenging issue for safety and productivity of deep underground coal mines, particularly where roadways are affected by coal mining activities. This study investigates the −740 m main roadway in the Jining No. 2 Coal Mine to provide a theoretical basis for the stability control of the main deep roadway affected by disturbances of adjacent working activities. Field surveys, theoretical analyses, and numerical simulations are used to reveal mechanisms of the coal mining disturbance. The field survey shows that the deformation of roadway increases when the work face advances near the roadway group. Long working face mining causes the key strata to collapse based on the key strata theory and then disturbs the adjacent roadway group. When the working face is 100 m away from the stop-mining line, the roadway group is affected by the mining face, and the width roadway protection coal pillar is determined to be about 100 m. Flac3D simulations prove the accuracy of the theoretical result. Through reinforcement and support measures for the main roadway, the overall strength of the surrounding rock is enhanced, the stability of the surrounding rock of the roadway is guaranteed, and the safe production of the mine is maintained.

ACS Style

Yuantian Sun; Ruiyang Bi; Qingliang Chang; Reza Taherdangkoo; Junfei Zhang; Junbo Sun; Jiandong Huang; Guichen Li. Stability Analysis of Roadway Groups under Multi-Mining Disturbances. Applied Sciences 2021, 11, 7953 .

AMA Style

Yuantian Sun, Ruiyang Bi, Qingliang Chang, Reza Taherdangkoo, Junfei Zhang, Junbo Sun, Jiandong Huang, Guichen Li. Stability Analysis of Roadway Groups under Multi-Mining Disturbances. Applied Sciences. 2021; 11 (17):7953.

Chicago/Turabian Style

Yuantian Sun; Ruiyang Bi; Qingliang Chang; Reza Taherdangkoo; Junfei Zhang; Junbo Sun; Jiandong Huang; Guichen Li. 2021. "Stability Analysis of Roadway Groups under Multi-Mining Disturbances." Applied Sciences 11, no. 17: 7953.

Journal article
Published: 19 August 2021 in Sustainability
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Pre-grouting as an effective means for improving the stability of roadways can reduce maintenance costs and maintain safety in complex mining conditions. In the Guobei coal mine in China, a cement pre-grouting technique was adopted to enhance the overall strength of soft coal mass and provide sufficient support for the roadway. However, there are very limited studies about the effect of grouting on the overall strength of coal in the laboratory. In this paper, based on the field observation of a coal-grout structure after grouting, a series of direct shear tests were conducted on coal and grouted coal specimens to quantitatively evaluate the quality improvement of grouted coal mass. The results showed that the peak and residual shear strength, cohesion, friction angle and the shear stiffness of grouted coal were significantly improved with the increase of the diameter of grout column. Linear regression models were established for predicting these mechanical parameters. In addition, three failure models associated with coal and grouted coal specimens were revealed. According to microstructure and macroscopic failure performance of specimens, the application of the proposed models and some methods for further improving the stability of grouted coal mass were suggested. The research can provide the basic evaluation and guideline for the parametric design of cement pre-grouting applications in soft coal mass.

ACS Style

Yuantian Sun; Guichen Li; Junfei Zhang; Junbo Sun; Jiandong Huang; Reza Taherdangkoo. New Insights of Grouting in Coal Mass: From Small-Scale Experiments to Microstructures. Sustainability 2021, 13, 9315 .

AMA Style

Yuantian Sun, Guichen Li, Junfei Zhang, Junbo Sun, Jiandong Huang, Reza Taherdangkoo. New Insights of Grouting in Coal Mass: From Small-Scale Experiments to Microstructures. Sustainability. 2021; 13 (16):9315.

Chicago/Turabian Style

Yuantian Sun; Guichen Li; Junfei Zhang; Junbo Sun; Jiandong Huang; Reza Taherdangkoo. 2021. "New Insights of Grouting in Coal Mass: From Small-Scale Experiments to Microstructures." Sustainability 13, no. 16: 9315.

Research article
Published: 20 April 2021 in Geofluids
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The micromechanism of the effects of different height/width ratios (H/W) and initial stress levels on unloading characteristics of deep rock was investigated based on PFC3D true-triaxial unloading simulation. The results show that the increase of H/W will increase the movement speed of rock particles and intensify the acoustic emission (AE) activity inside the rock. With the increase of H/W, the failure mode of rock changes from splitting failure to tensile-shear failure. With increasing initial stress level, the particle velocity and overall fragmentation degree of rock increase. However, the increase of lateral stress will limit the coalescence of microfractures and weaken AE activity in the rock. Under unloading condition, the bonds between particles generally crack along the unloading direction, and the tensile effect is more pronounced under the condition of low initial stress level and high H/W. Under unloading condition, the variable energy of rock increases with increasing H/W and initial stress level, and the kinetic energy of rock particles increases with increasing H/W. The increase of initial stress level will increase the kinetic energy of rock particles when H/W is high.

ACS Style

Haoyu Rong; Guichen Li; Jiahui Xu; Ruiyang Bi; Yuantian Sun; Yaqiao Hu; Guoliang Bai. Particle Flow Simulation of Failure Characteristics of Deep Rock Influenced by Sample Height-to-Width Ratios and Initial Stress Level under True-Triaxial Unloading. Geofluids 2021, 2021, 1 -16.

AMA Style

Haoyu Rong, Guichen Li, Jiahui Xu, Ruiyang Bi, Yuantian Sun, Yaqiao Hu, Guoliang Bai. Particle Flow Simulation of Failure Characteristics of Deep Rock Influenced by Sample Height-to-Width Ratios and Initial Stress Level under True-Triaxial Unloading. Geofluids. 2021; 2021 ():1-16.

Chicago/Turabian Style

Haoyu Rong; Guichen Li; Jiahui Xu; Ruiyang Bi; Yuantian Sun; Yaqiao Hu; Guoliang Bai. 2021. "Particle Flow Simulation of Failure Characteristics of Deep Rock Influenced by Sample Height-to-Width Ratios and Initial Stress Level under True-Triaxial Unloading." Geofluids 2021, no. : 1-16.

Journal article
Published: 16 April 2021 in Construction and Building Materials
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Pervious concrete is an environmentally friendly material that improves water permeability, skid resistance, and sound absorption characteristics. However, due to a large number of pores and the absorption capacity, pervious concrete faces the problem of clogging caused by dust particles and solid contaminants entering the internal pores. In this study, both pore size distributions (PSD) of the pervious concrete and permeability reduction behavior are studied by laboratory tests. The extent of permeability reduction is addressed by designing the penetration test for 21 groups of pervious concrete mixes with varying aggregate gradations and specimen thickness. The PSD is determined by the two-dimensional (2D) sliced image scanned by the Computed Tomography (CT). An approach to represent the characteristic pore size of pervious concrete is proposed and verified. Results showed that: the effect of thickness on permeability is negligible while on clogging behavior is significant. The ratio between the clogging sand sizes and the characteristic pore size is an important parameter that affects the clogging behavior and can be used to predict the anti-clogging performance.

ACS Style

Jiandong Huang; Yi Zhang; Yuantian Sun; Jiaolong Ren; Zedong Zhao; Junfei Zhang. Evaluation of pore size distribution and permeability reduction behavior in pervious concrete. Construction and Building Materials 2021, 290, 123228 .

AMA Style

Jiandong Huang, Yi Zhang, Yuantian Sun, Jiaolong Ren, Zedong Zhao, Junfei Zhang. Evaluation of pore size distribution and permeability reduction behavior in pervious concrete. Construction and Building Materials. 2021; 290 ():123228.

Chicago/Turabian Style

Jiandong Huang; Yi Zhang; Yuantian Sun; Jiaolong Ren; Zedong Zhao; Junfei Zhang. 2021. "Evaluation of pore size distribution and permeability reduction behavior in pervious concrete." Construction and Building Materials 290, no. : 123228.

Journal article
Published: 15 April 2021 in Sustainability
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High-efficiency maintenance and control of the deep coal roadway surrounding rock stability is a reliable guarantee for sustainable development of a coal mine. However, it is difficult to control the stability of a roadway that locates near a roadway with large deformation. With return air roadway 21201 (RAR 21201) in Hulusu coal mine as the research background, in situ investigation, theoretical analysis, numerical simulation, and engineering practice were carried out to study pressure relief effect on the surrounding rock after the severe deformation of the roadway. Besides, the feasibility of excavating a new roadway near this damaged one by means of pressure relief effect is also discussed. Results showed that after the strong mining roadway suffered huge loose deformation, the space inside shrank so violently that surrounding rock released high stress to a large extent, which formed certain pressure relief effect on the rock. Through excavating a new roadway near this deformed one, the new roadway could obtain a relative low stress environment with the help of the pressure relief effect, which is beneficial for maintenance and control of itself. Equal row spacing double-bearing ring support technology is proposed and carried out. Engineering practice indicates that the new excavated roadway escaped from possible separation fracture in the roof anchoring range, and the surrounding rock deformation of the new roadway is well controlled, which verifies the pressure relief effect mentioned. This paper provides a reference for scientific mining under the condition of deep buried and high stress mining in western China.

ACS Style

Houqiang Yang; Nong Zhang; Changliang Han; Changlun Sun; Guanghui Song; Yuantian Sun; Kai Sun. Stability Control of Deep Coal Roadway under the Pressure Relief Effect of Adjacent Roadway with Large Deformation: A Case Study. Sustainability 2021, 13, 4412 .

AMA Style

Houqiang Yang, Nong Zhang, Changliang Han, Changlun Sun, Guanghui Song, Yuantian Sun, Kai Sun. Stability Control of Deep Coal Roadway under the Pressure Relief Effect of Adjacent Roadway with Large Deformation: A Case Study. Sustainability. 2021; 13 (8):4412.

Chicago/Turabian Style

Houqiang Yang; Nong Zhang; Changliang Han; Changlun Sun; Guanghui Song; Yuantian Sun; Kai Sun. 2021. "Stability Control of Deep Coal Roadway under the Pressure Relief Effect of Adjacent Roadway with Large Deformation: A Case Study." Sustainability 13, no. 8: 4412.

Research article
Published: 10 April 2021 in Advances in Civil Engineering
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The roadway deformation normally relates to time especially for underground coal roadway. The strength of soft coal is low, and therefore the deformation increases gradually under constant stress with time, which is called rheology deformation. In this study, based on a field case, the rock mass properties and deformation data of the roadway were obtained according to the field test. A 3D numerical model was then established, and the rheological deformation including horizontal and vertical deformation of the coal roadway was systematically analyzed. The results showed that the rheological deformation of horizontal sidewall accounts for almost 30% of the whole deformation, and the stable time for such roadway is around 60 days after excavation. The tendency of the roof deformation is similar to the sidewalls, and however, the floor deformation is different. Then the related suggestions for maintaining the stability of such roadway were proposed, which is useful in-field application.

ACS Style

Yuantian Sun; Guichen Li; Junfei Zhang; Bicheng Yao; Deyu Qian; Jiandong Huang. Numerical Investigation on Time-Dependent Deformation in Roadway. Advances in Civil Engineering 2021, 2021, 1 -7.

AMA Style

Yuantian Sun, Guichen Li, Junfei Zhang, Bicheng Yao, Deyu Qian, Jiandong Huang. Numerical Investigation on Time-Dependent Deformation in Roadway. Advances in Civil Engineering. 2021; 2021 ():1-7.

Chicago/Turabian Style

Yuantian Sun; Guichen Li; Junfei Zhang; Bicheng Yao; Deyu Qian; Jiandong Huang. 2021. "Numerical Investigation on Time-Dependent Deformation in Roadway." Advances in Civil Engineering 2021, no. : 1-7.

Original article
Published: 24 February 2021 in Engineering with Computers
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This research presents a new model for finding optimal conditions in the concrete technology area. To do that, results of a series of laboratory investigations on concrete samples were considered and used to design several artificial intelligence (AI) models. The data samples include 8 parameters i.e., silica fume replacement ratio, fly ash replacement ratio, fine aggregate, water content, high rate water reducing agent, coarse aggregate, total cementitious material, and age of samples, were used to predict and optimize the compressive strength of concrete samples. For optimization purposes, this study used a human learning optimization (HLO) algorithm to find the optimal results as well as optimizing the kernel coefficients of the support vector regression (SVR) models. Initially, to form the core of this research, various models were constructed and proposed to design the required relationship between the data using SVR. Since different SVR kernels have their own coefficients, using optimization theory, the probability of error in the models was reduced and the models were identified and executed with the highest accuracy. Finally, the polynomial model was selected as the model with the lowest computational error and the highest accuracy for evaluating the compressive strength of the concrete samples. The accuracy of the proposed SVR model for training and testing data was obtained as the coefficient of determination (R2) = 0.9694 and R2 = 0.9470, respectively. This function was considered as a relation, to be developed by the HLO algorithm to find optimal options under different conditions. The results for 14 samples, which are the most important examples of this research, showed that the optimal states are obtained with a high level of accuracy. This confirms the proper use/develop of the SVR-HLO algorithm in designing the predictive model as well as finding optimal conditions in the concrete technology area.

ACS Style

Jiandong Huang; Yuantian Sun; Junfei Zhang. Reduction of computational error by optimizing SVR kernel coefficients to simulate concrete compressive strength through the use of a human learning optimization algorithm. Engineering with Computers 2021, 1 -18.

AMA Style

Jiandong Huang, Yuantian Sun, Junfei Zhang. Reduction of computational error by optimizing SVR kernel coefficients to simulate concrete compressive strength through the use of a human learning optimization algorithm. Engineering with Computers. 2021; ():1-18.

Chicago/Turabian Style

Jiandong Huang; Yuantian Sun; Junfei Zhang. 2021. "Reduction of computational error by optimizing SVR kernel coefficients to simulate concrete compressive strength through the use of a human learning optimization algorithm." Engineering with Computers , no. : 1-18.

Journal article
Published: 23 February 2021 in Construction and Building Materials
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Vibrations induced by traffic are of concern for road authorities due to disturbance on the population, and the damage of buildings and structures. In the field of pavement engineering, the anti-vibration paving technologies by the so-called damping layer are under investigation to avoid the generation of excessive vibration and contains propagation. To more fully examine the effectiveness and potential of such a damping layer in the application of anti-vibration pavement, numerical simulations based on a two-dimensional (2D) finite element (FE) model is conducted. The method of determining Rayleigh damping parameters is proposed to more accurately characterize the attenuation of vibration in the road pavements. Sensitivity analysis of varying monitored points and varying loads are performed. Several important parameters such as the damping layer position and thickness, damping ratio are evaluated as well. By the use of this FE simulation to model the vibration response induced by traffic, the costly construction mistakes and field experimentation can be avoided.

ACS Style

Jiandong Huang; Massimo Losa; Pietro Leandri; Shiva G. Kumar; Junfei Zhang; Yuantian Sun. Potential anti-vibration pavements with damping layer: Finite element (FE) modeling, validation, and parametrical studies. Construction and Building Materials 2021, 281, 122550 .

AMA Style

Jiandong Huang, Massimo Losa, Pietro Leandri, Shiva G. Kumar, Junfei Zhang, Yuantian Sun. Potential anti-vibration pavements with damping layer: Finite element (FE) modeling, validation, and parametrical studies. Construction and Building Materials. 2021; 281 ():122550.

Chicago/Turabian Style

Jiandong Huang; Massimo Losa; Pietro Leandri; Shiva G. Kumar; Junfei Zhang; Yuantian Sun. 2021. "Potential anti-vibration pavements with damping layer: Finite element (FE) modeling, validation, and parametrical studies." Construction and Building Materials 281, no. : 122550.

Journal article
Published: 20 February 2021 in Construction and Building Materials
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Electrically conductive cementitious composites (ECCCs) have become a significant research interest in structural health monitoring. The use of graphite in ECCCs can significantly improve their electrical performance, however, with unsatisfactory friction resistance because of the graphite’s smooth micro-surfaces. Slag can be incorporated with graphites into ECCCs to achieve good performance in both of mechanical resistance and electrical conductivity. This study investigated the impact of graphite and slag on the electrical and mechanical behaviors of ECCCs. Two hundred and eighty ECCC specimens were prepared with two different types of slags and with various conductivity ingredient fractions and curing times. The specimens were tested for compressive strength, flexural strength, and electrical resistance. It was concluded the 4% graphite content in ECCCs can significantly enhance electrical conductivity with moderate decrease in compressive and flexural strengths. Slags were found to improve both electrical conductivity and mechanical properties of ECCCs. The best results could be obtained with optimized contents of steel slag, blast furnace slag, and graphite. Finally, the microstructural mechanisms of the ECCC specimens were analyzed using scanning electron microscope (SEM) for graphite and slag. Variable sensitivity analysis was performed to allow for optimization of ingredient contents.

ACS Style

Junbo Sun; Sen Lin; Genbao Zhang; Yuantian Sun; Junfei Zhang; Changfu Chen; Amr M. Morsy; Xiangyu Wang. The effect of graphite and slag on electrical and mechanical properties of electrically conductive cementitious composites. Construction and Building Materials 2021, 281, 122606 .

AMA Style

Junbo Sun, Sen Lin, Genbao Zhang, Yuantian Sun, Junfei Zhang, Changfu Chen, Amr M. Morsy, Xiangyu Wang. The effect of graphite and slag on electrical and mechanical properties of electrically conductive cementitious composites. Construction and Building Materials. 2021; 281 ():122606.

Chicago/Turabian Style

Junbo Sun; Sen Lin; Genbao Zhang; Yuantian Sun; Junfei Zhang; Changfu Chen; Amr M. Morsy; Xiangyu Wang. 2021. "The effect of graphite and slag on electrical and mechanical properties of electrically conductive cementitious composites." Construction and Building Materials 281, no. : 122606.

Journal article
Published: 22 January 2021 in Construction and Building Materials
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In recent years, disposal of bulk quantity of waste toner generated from the manufacturing process, copying machines, and laser printers has been a huge problem. In this study, an attempt has been made to overcome these problems by incorporating the waste toner in asphalt mixtures in a proper proportion. This study aims to evaluate the effect of varying dosages (4%, 8%, 12%, and 16%) of waste toner on workability and mechanical properties (rutting and moisture-induced damage) of asphalt mixtures. Workability properties were evaluated using densification indices (Locking point method) and viscosity test. Rutting properties were evaluated using the wheel tracking device and multiple stress creep recovery tests. Moisture-induced damage properties were evaluated using indirect tensile strength (Modified Lottman) and bitumen bond strength test. Results show that the addition of waste toner makes asphalt binder stiffer, reduces moisture susceptibility, and pumping ability. Furthermore, the addition of waste toner reduces workability and resistance to moisture-induced damage properties but increases resistance to rutting properties of asphalt mixtures irrespective of dosage rate.

ACS Style

Jiandong Huang; G. Shiva Kumar; Yuantian Sun. Evaluation of workability and mechanical properties of asphalt binder and mixture modified with waste toner. Construction and Building Materials 2021, 276, 122230 .

AMA Style

Jiandong Huang, G. Shiva Kumar, Yuantian Sun. Evaluation of workability and mechanical properties of asphalt binder and mixture modified with waste toner. Construction and Building Materials. 2021; 276 ():122230.

Chicago/Turabian Style

Jiandong Huang; G. Shiva Kumar; Yuantian Sun. 2021. "Evaluation of workability and mechanical properties of asphalt binder and mixture modified with waste toner." Construction and Building Materials 276, no. : 122230.

Research article
Published: 21 December 2020 in Advances in Civil Engineering
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DAMs have recently been developed to be used as the damping layer in the so-called antivibration pavement to mitigate the effects of traffic-induced vibration while rare finite element (FE) modeling has been conducted to simulate the indirect tension to cylindrical (IT-CY) specimen test for DAMs. In the present study, the methods for the viscoelastic characterization of DAMs and the techniques to characterize the viscoelastic behavior of DAMs in FE modeling were proposed. The FE model to simulate the IT-CY test was constructed, and it was verified through the corresponding laboratory test. Good agreements were noted between the simulation results and testing results demonstrating that the FE model can provide the accurate prediction of the mechanical behavior of DAMs.

ACS Style

Jiandong Huang; Tianhong Duan; Yuantian Sun; Lin Wang; Yawei Lei. Finite Element (FE) Modeling of Indirect Tension to Cylindrical (IT-CY) Specimen Test for Damping Asphalt Mixtures (DAMs). Advances in Civil Engineering 2020, 2020, 1 -11.

AMA Style

Jiandong Huang, Tianhong Duan, Yuantian Sun, Lin Wang, Yawei Lei. Finite Element (FE) Modeling of Indirect Tension to Cylindrical (IT-CY) Specimen Test for Damping Asphalt Mixtures (DAMs). Advances in Civil Engineering. 2020; 2020 ():1-11.

Chicago/Turabian Style

Jiandong Huang; Tianhong Duan; Yuantian Sun; Lin Wang; Yawei Lei. 2020. "Finite Element (FE) Modeling of Indirect Tension to Cylindrical (IT-CY) Specimen Test for Damping Asphalt Mixtures (DAMs)." Advances in Civil Engineering 2020, no. : 1-11.

Research article
Published: 17 December 2020 in Advances in Materials Science and Engineering
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The function of a resin anchoring agent is to bond the rock of a borehole wall with the body of the anchor so the anchor can play an effective supporting role. The anchoring effect is related to the performance of the resin anchoring agent used and to the stirring rate applied during the anchor installation process. In this report, the stirring rate of the resin anchoring agent is evaluated and discussed in terms of how it affects pore structure and anchoring strength. When the stirring rate is in the range of 400–950 r/min, the uniaxial compressive strength of the resin anchoring agent increases proportionally with the stirring rate, and the compressive strength corresponding to the maximum stirring rate is 15.1% greater than that corresponding to the minimum stirring rate. Conversely, the pore size of the foam inside the resin anchoring agent is inversely proportional to the stirring rate, and the pore size corresponding to the maximum stirring rate is 15.1% smaller than that corresponding to the minimum stirring rate. The anchoring strength increases proportionally with the stirring rate when the stirring rate is between 400 and 800 r/min. Specifically, the anchoring strength associated with the maximum stirring rate is 9.2% greater than the anchoring strength corresponding to the minimum stirring rate. As the stirring time increases from 20 to 60 s, the anchoring force first increases and then decreases, with the optimal stirring time determined to be about 50 s. The results presented herein can be applied to improve anchor installation technology and the anchoring strength of resin anchoring agents.

ACS Style

Jiaguang Kan; Yuantian Sun; Yifan Wang; Sen Yang; Peng Wang. Experimental Investigation on Stirring Rate Affecting Bubble Structure of Resin Anchor Agent and Anchoring Strength. Advances in Materials Science and Engineering 2020, 2020, 1 -13.

AMA Style

Jiaguang Kan, Yuantian Sun, Yifan Wang, Sen Yang, Peng Wang. Experimental Investigation on Stirring Rate Affecting Bubble Structure of Resin Anchor Agent and Anchoring Strength. Advances in Materials Science and Engineering. 2020; 2020 ():1-13.

Chicago/Turabian Style

Jiaguang Kan; Yuantian Sun; Yifan Wang; Sen Yang; Peng Wang. 2020. "Experimental Investigation on Stirring Rate Affecting Bubble Structure of Resin Anchor Agent and Anchoring Strength." Advances in Materials Science and Engineering 2020, no. : 1-13.

Research article
Published: 02 December 2020 in Advances in Civil Engineering
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Based on geological conditions of 3318 working face haulage roadway in Xuchang Coal Mine, as well as the space-time relationship with surrounding gob, theoretical analysis and numerical simulation were used to study the influence of fault structure on the original rock stress of 3318 working face transport roadway. Considering the composite action of the leading supporting pressure of 3318 working face and the structure and the lateral supporting pressure of gob, the stress distribution and deformation law of roadway under the complex and high-stress condition are studied. The results show that, under the superposition of lateral abutment pressure of goaf and abutment pressure of adjacent working face and fault structure, the peak stress of roadway roof and floor moves to the surface of roadway surrounding rock, and its distribution law changes from obvious symmetry to asymmetry; surrounding rock on both sides of roadway forms asymmetric circular concentrated stress area; roof and floor and two sides of roadway show asymmetric characteristics. This reveals the stability characteristics of roadway surrounding rock under the action of multiple perturbation stresses.

ACS Style

Biao Zhang; Huaqiang Zhou; Qingliang Chang; Xu Zhao; Yuantian Sun. The Stability Analysis of Roadway near Faults under Complex High Stress. Advances in Civil Engineering 2020, 2020, 1 -10.

AMA Style

Biao Zhang, Huaqiang Zhou, Qingliang Chang, Xu Zhao, Yuantian Sun. The Stability Analysis of Roadway near Faults under Complex High Stress. Advances in Civil Engineering. 2020; 2020 ():1-10.

Chicago/Turabian Style

Biao Zhang; Huaqiang Zhou; Qingliang Chang; Xu Zhao; Yuantian Sun. 2020. "The Stability Analysis of Roadway near Faults under Complex High Stress." Advances in Civil Engineering 2020, no. : 1-10.

Research article
Published: 27 October 2020 in Advances in Civil Engineering
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Damping asphalt mixtures (DAMs) have been developed to resist vibration and noise caused by traffic loads, and the ultimate design goal in this process is to increase damping. However, while optimizing its damping characteristics, the viscoelastic properties are not yet clear. In the present study, two DAMs are designed based on the open-graded (OG) aggregate structure, and the viscoelastic properties are evaluated subsequently by the dynamic mechanical testing. The results show that the proposed mix-design method for DAMs can meet the mechanical requirements specified in the standards; DAMs are detected to have higher phase angle and lower stiffness modulus compared with traditional mixtures, and the antifatigue performance is excellent but resistance to rutting may face challenges.

ACS Style

Jiandong Huang; Yuantian Sun. Viscoelastic Analysis of the Damping Asphalt Mixtures (DAMs) Made with a High Content of Asphalt Rubber (AR). Advances in Civil Engineering 2020, 2020, 1 -12.

AMA Style

Jiandong Huang, Yuantian Sun. Viscoelastic Analysis of the Damping Asphalt Mixtures (DAMs) Made with a High Content of Asphalt Rubber (AR). Advances in Civil Engineering. 2020; 2020 ():1-12.

Chicago/Turabian Style

Jiandong Huang; Yuantian Sun. 2020. "Viscoelastic Analysis of the Damping Asphalt Mixtures (DAMs) Made with a High Content of Asphalt Rubber (AR)." Advances in Civil Engineering 2020, no. : 1-12.

Journal article
Published: 14 October 2020 in Applied Sciences
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The present study aims to examine the effect of modifiers (Styrene-Butadiene-Styrene and crumb rubber) on the rutting, moisture-induced damage, and workability properties of hot mix asphalt (HMA) mixtures. In this study, three types—namely, control (CB), crumb rubber-modified (CRMB), and polymer-modified (PMB)—of mixtures/binders were evaluated. The rutting properties were evaluated using a wheel tracking device and the Multiple Stress Creep Recovery (MSCR) test. The moisture-induced damage properties were evaluated using the Indirect Tensile Strength (modified Lottman) and bitumen bond strength (BBS) tests. The workability properties were evaluated using densification indices (Bahia and locking point method) and a viscosity test. The results indicate that CRMB mixtures were less workable and exhibited a better resistance to rutting than the PMB and CB mixtures. Further, the PMB mixtures had increased resistance to moisture-induced damage, while the effect of the CRMB mixtures was negligible compared to the CB mixtures.

ACS Style

Jiandong Huang; Yuantian Sun. Effect of Modifiers on the Rutting, Moisture-Induced Damage, and Workability Properties of Hot Mix Asphalt Mixtures. Applied Sciences 2020, 10, 7145 .

AMA Style

Jiandong Huang, Yuantian Sun. Effect of Modifiers on the Rutting, Moisture-Induced Damage, and Workability Properties of Hot Mix Asphalt Mixtures. Applied Sciences. 2020; 10 (20):7145.

Chicago/Turabian Style

Jiandong Huang; Yuantian Sun. 2020. "Effect of Modifiers on the Rutting, Moisture-Induced Damage, and Workability Properties of Hot Mix Asphalt Mixtures." Applied Sciences 10, no. 20: 7145.

Journal article
Published: 18 September 2020 in International Journal of Mining Science and Technology
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In the loose and fractured coal seam with particularly low uniaxial compressive strength (UCS), driving a roadway is extremely difficult as roof falling and wall spalling occur frequently. To address this issue, the jet grouting (JG) technique (high-pressure grout mixed with coal particles) was first introduced in this study to improve the self-supporting ability of coal mass. To evaluate the strength of the jet-grouted coal-grout composite (JG composite), the UCS evolution patterns were analyzed by preparing 405 specimens combining the influential variables of grout types, curing time, and coal to grout (C/G) ratio. Furthermore, the relationships between UCS and these influencing variables were modeled using ensemble learning methods i.e. gradient boosted regression tree (GBRT) and random forest (RF) with their hyperparameters tuned by the particle swarm optimization (PSO). The results showed that the chemical grout composite has higher short-term strength, while the cement grout composite can achieve more stable strength in the long term. The PSO-GBRT and PSO-RF models can both achieve high prediction accuracy. Also, the variable importance analysis demonstrated that the grout type and curing time should be considered carefully. This study provides a robust intelligent model for predicting UCS of JG composites, which boosts JG design in the field.

ACS Style

Yuantian Sun; Guichen Li; Nong Zhang; Qingliang Chang; Jiahui Xu; Junfei Zhang. Development of ensemble learning models to evaluate the strength of coal-grout materials. International Journal of Mining Science and Technology 2020, 31, 153 -162.

AMA Style

Yuantian Sun, Guichen Li, Nong Zhang, Qingliang Chang, Jiahui Xu, Junfei Zhang. Development of ensemble learning models to evaluate the strength of coal-grout materials. International Journal of Mining Science and Technology. 2020; 31 (2):153-162.

Chicago/Turabian Style

Yuantian Sun; Guichen Li; Nong Zhang; Qingliang Chang; Jiahui Xu; Junfei Zhang. 2020. "Development of ensemble learning models to evaluate the strength of coal-grout materials." International Journal of Mining Science and Technology 31, no. 2: 153-162.

Journal article
Published: 19 July 2020 in Applied Sciences
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Investigating the micro-parameters of rock is vital for understanding the macro-properties of rock, such as the uniaxial compressive strength (UCS), Young’s modulus, failure patterns, etc. In this paper, based on the experimental results of rock material, a parallel-bond model in three-dimensional particle flow code (PFC3D) was applied to investigate the effects of the joint action of bond stiffness ratio and bond stress ratio on macro-properties of rock. The uniaxial compressive strength, stress–strain relationships, and failure characteristics, as well as underlying compression and failure mechanisms, in the process of parameter calibration, were systematically studied. The results indicated that the interaction of several micro-parameters would obviously change the response characteristics of the macro-properties of the model. The mechanism of the effects of various micro-parameters on the macro-properties of the model was further revealed. The change of the micro-parameters would change the strength and stress state of the bond between particles. The research results could promote the understanding of the failure mechanism of rock and improve the efficiency of micro-parameter calibration and the accuracy of calibration results.

ACS Style

Haoyu Rong; Guichen Li; Dongxu Liang; Changlun Sun; Suhui Zhang; Yuantian Sun. Numerical Investigation on the Evolution of Mechanical Properties of Rock Affected by Micro-Parameters. Applied Sciences 2020, 10, 4957 .

AMA Style

Haoyu Rong, Guichen Li, Dongxu Liang, Changlun Sun, Suhui Zhang, Yuantian Sun. Numerical Investigation on the Evolution of Mechanical Properties of Rock Affected by Micro-Parameters. Applied Sciences. 2020; 10 (14):4957.

Chicago/Turabian Style

Haoyu Rong; Guichen Li; Dongxu Liang; Changlun Sun; Suhui Zhang; Yuantian Sun. 2020. "Numerical Investigation on the Evolution of Mechanical Properties of Rock Affected by Micro-Parameters." Applied Sciences 10, no. 14: 4957.

Original article
Published: 14 July 2020 in Engineering with Computers
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Shear design of RC beams with and without stirrups using laboratory experiments is difficult or even impossible as a large number of variables need to be considered simultaneously, such as the span-to-depth ratio, web width and reinforcement ratio. In addition, due to the complex shear failure mechanism, empirical approaches for shear design are derived within the boundaries of their own testing regimes. Thus, the generalization ability and applicability of these approaches are limited. To address this issue, this study uses machine learning approaches for shear design. A random forest model is constructed to predict the shear strength of RC beams. The hyperparameters of RF are tuned using beetle antennae search algorithm modified by Levy flight and inertia weight. The developed model is trained on two data sets of RC beams with and without stirrups containing 194 and 1849 samples, respectively. The obtained model has high prediction accuracy with correlation coefficients of 0.9367 and 0.9424 on these two test data sets, respectively. The proposed method is powerful and efficient in shear design of RC beams with and without stirrups and therefore paves the way to intelligent construction.

ACS Style

Junfei Zhang; Yuantian Sun; Guichen Li; Yuhang Wang; Junbo Sun; Jianxin Li. Machine-learning-assisted shear strength prediction of reinforced concrete beams with and without stirrups. Engineering with Computers 2020, 1 -15.

AMA Style

Junfei Zhang, Yuantian Sun, Guichen Li, Yuhang Wang, Junbo Sun, Jianxin Li. Machine-learning-assisted shear strength prediction of reinforced concrete beams with and without stirrups. Engineering with Computers. 2020; ():1-15.

Chicago/Turabian Style

Junfei Zhang; Yuantian Sun; Guichen Li; Yuhang Wang; Junbo Sun; Jianxin Li. 2020. "Machine-learning-assisted shear strength prediction of reinforced concrete beams with and without stirrups." Engineering with Computers , no. : 1-15.

Research article
Published: 29 June 2020 in International Journal for Numerical and Analytical Methods in Geomechanics
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Rockbust is a violent expulsion of rock due to the extreme release of strain energy stored in surrounding rock mass, leading to considerable damages to underground strucures and equipment, and threatening workers' safety. As the operational depth of engineering projects increases, a larger number of factors influence the mechanism of rockburst. Therefore, accurate classification of rockburst intensity cannot be achieved based on conventional criteria. It is urgent to develop new models with high accuracy and ease to implement in practice. This study proposed an ensemble machine learning method by aggregating seven individual classifiers including back propagation neural network, support vector machine, decision tree, k‐nearest neighbours, logistic regression, multiple linear regression and Naïve Bayes. In addition, we proposed nine data imputation methods to replace the missing values in the compiled database including 188 rockburst instances. Five‐fold cross validation and the beetle antennae search algorithm are used to tune hyperparameters and voting weights of the individual classifiers. The results show that the rockburst classification accuracy obtained by the classifier ensemble has increased by 15.4% compared with the best individual classifier on the test set. The predictor importance obtained by the classifier ensemble shows that the elastic energy index is the most sensitive input variable for rockburst intensity classification. This robust ensemble method can be extended to solve other classification problems in underground engineering projects.

ACS Style

Junfei Zhang; Yuhang Wang; Yuantian Sun; Guichen Li. Strength of ensemble learning in multiclass classification of rockburst intensity. International Journal for Numerical and Analytical Methods in Geomechanics 2020, 44, 1833 -1853.

AMA Style

Junfei Zhang, Yuhang Wang, Yuantian Sun, Guichen Li. Strength of ensemble learning in multiclass classification of rockburst intensity. International Journal for Numerical and Analytical Methods in Geomechanics. 2020; 44 (13):1833-1853.

Chicago/Turabian Style

Junfei Zhang; Yuhang Wang; Yuantian Sun; Guichen Li. 2020. "Strength of ensemble learning in multiclass classification of rockburst intensity." International Journal for Numerical and Analytical Methods in Geomechanics 44, no. 13: 1833-1853.

Research article
Published: 17 June 2020 in Advances in Materials Science and Engineering
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Improving roadway stability in deep underground mines is quite challenging, as the conventional support structures easily fail. Roadway collapse and large deformation occur just several months after tunnel excavation. In this study, a relatively new prereinforcement technique, the jet grouting (JG), is introduced to improve roadway stability. A field test was performed for evaluating the practicability and applicability of JG in soft coal mass. A series of laboratory tests were conducted to assess the properties of coalcrete (coal-grout after JG treatment). A two-dimensional numerical model was established for validating the input parameters. Based on the verified model, three JG support cases for roadway were modeled and compared with a conventional support case, namely, the currently used support in this mine “rock bolts + U-shaped steel set + shotcrete.” The results show that the proposed prereinforced JG support structures can considerably control the deformation and failure zone of the roadway and improve the bearing capacity of coal mass. The mechanism of maintaining roadway stability using JG techniques is further revealed. Some suggestions are further presented to improve the stability of the jet-grouted roadway.

ACS Style

Guichen Li; Yuantian Sun; Junfei Zhang; Qianjin Zhang; Changlun Sun; Suhui Zhang; Ruiyang Bi. Experiment and Application of Coalcrete on Roadway Stability: A Comparative Analysis. Advances in Materials Science and Engineering 2020, 2020, 1 -14.

AMA Style

Guichen Li, Yuantian Sun, Junfei Zhang, Qianjin Zhang, Changlun Sun, Suhui Zhang, Ruiyang Bi. Experiment and Application of Coalcrete on Roadway Stability: A Comparative Analysis. Advances in Materials Science and Engineering. 2020; 2020 ():1-14.

Chicago/Turabian Style

Guichen Li; Yuantian Sun; Junfei Zhang; Qianjin Zhang; Changlun Sun; Suhui Zhang; Ruiyang Bi. 2020. "Experiment and Application of Coalcrete on Roadway Stability: A Comparative Analysis." Advances in Materials Science and Engineering 2020, no. : 1-14.