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Jiandong Huang
Key Laboratory of Deep Coal Resource Mining, Ministry of Education of China, School of Mines, China University of Mining and Technology, Xuzhou 221116, China

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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.

Journal article
Published: 28 July 2021 in Construction and Building Materials
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Fiber Bragg grating (FBG) technology has significant advantages in anti-electromagnetic interference and is suitable for structural health monitoring (SHM) in high-speed rail (HSR). In this paper, a deformation monitoring system based on FBG technology is designed for HSR track slab. Regarding to the possible large deformation of the track slab, a Bayesian change point detection (CPD) method is adopted to detect change points of the monitoring data sequence and the posterior probability distribution of change points can also be derived. The Bayesian CPD algorithm can directly sample and simulate from the posterior probability distribution of change point to determine corresponding parameters of regression model, as well as yielding uncertainty evaluation. The designed SHM system was implemented on a segment of HSR track on the Lanzhou-Xinjiang line in China to carry out the measurement of track slab deformation. Results shows that the designed SHM can resist strong electromagnetic interference in the operation environment of high-speed rail and versine deformation monitoring data over two months for the target track segment can be extracted based on SHM measurement. Through posterior distribution information of the Bayesian CPD method, change points which have the highest posterior probability can be identified for the versine deformation of HSR track slabs, which is essential for investigating the cause of the change point and providing maintenance plan in time.

ACS Style

Qi-Ang Wang; Cheng Zhang; Zhan-Guo Ma; Jiandong Huang; Yi-Qing Ni; Chao Zhang. SHM deformation monitoring for high-speed rail track slabs and Bayesian change point detection for the measurements. Construction and Building Materials 2021, 300, 124337 .

AMA Style

Qi-Ang Wang, Cheng Zhang, Zhan-Guo Ma, Jiandong Huang, Yi-Qing Ni, Chao Zhang. SHM deformation monitoring for high-speed rail track slabs and Bayesian change point detection for the measurements. Construction and Building Materials. 2021; 300 ():124337.

Chicago/Turabian Style

Qi-Ang Wang; Cheng Zhang; Zhan-Guo Ma; Jiandong Huang; Yi-Qing Ni; Chao Zhang. 2021. "SHM deformation monitoring for high-speed rail track slabs and Bayesian change point detection for the measurements." Construction and Building Materials 300, no. : 124337.

Journal article
Published: 28 July 2021 in Sustainability
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Uranium mining waste causes serious radiation-related health and environmental problems. This has encouraged efforts toward U(VI) removal with low cost and high efficiency. Typical uranium adsorbents, such as polymers, geopolymers, zeolites, and MOFs, and their associated high costs limit their practical applications. In this regard, this work found that the natural combusted coal gangue (CCG) could be a potential precursor of cheap sorbents to eliminate U(VI). The removal efficiency was modulated by chemical activation under acid and alkaline conditions, obtaining HCG (CCG activated with HCl) and KCG (CCG activated with KOH), respectively. The detailed structural analysis uncovered that those natural mineral substances, including quartz and kaolinite, were the main components in CCG and HCG. One of the key findings was that kalsilite formed in KCG under a mild synthetic condition can conspicuous enhance the affinity towards U(VI). The best equilibrium adsorption capacity with KCG was observed to be 140 mg/g under pH 6 within 120 min, following a pseudo-second-order kinetic model. To understand the improved adsorption performance, an adsorption mechanism was proposed by evaluating the pH of uranyl solutions, adsorbent dosage, as well as contact time. Combining with the structural analysis, this revealed that the uranyl adsorption process was mainly governed by chemisorption. This study gave rise to a utilization approach for CCG to obtain cost-effective adsorbents and paved a novel way towards eliminating uranium by a waste control by waste strategy.

ACS Style

Yuan Gao; Jiandong Huang; Meng Li; Zhongran Dai; Rongli Jiang; Jixiong Zhang. Chemical Modification of Combusted Coal Gangue for U(VI) Adsorption: Towards a Waste Control by Waste Strategy. Sustainability 2021, 13, 8421 .

AMA Style

Yuan Gao, Jiandong Huang, Meng Li, Zhongran Dai, Rongli Jiang, Jixiong Zhang. Chemical Modification of Combusted Coal Gangue for U(VI) Adsorption: Towards a Waste Control by Waste Strategy. Sustainability. 2021; 13 (15):8421.

Chicago/Turabian Style

Yuan Gao; Jiandong Huang; Meng Li; Zhongran Dai; Rongli Jiang; Jixiong Zhang. 2021. "Chemical Modification of Combusted Coal Gangue for U(VI) Adsorption: Towards a Waste Control by Waste Strategy." Sustainability 13, no. 15: 8421.

Journal article
Published: 22 July 2021 in Journal of Cleaner Production
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Residual waste toner (WT), which is abundantly generating with modern industry, is a potential green resource that can be used as an asphalt modifier for better engineering performance and cost-saving. This study is conducted to comprehensively evaluate the feasibility of using WT as an asphalt modifier considering various rheological properties of the modified binder. Four different WT modified asphalt are prepared (with WT contents of 3%, 6%, 9%, and 12%). The properties of the modified binder were investigated through a series of rheological tests including the conventional binder specification tests (penetration, softening point, ductility, and flash point), multiple stress creep recovery (MSCR), and Bending Beam Rheometer (BBR) tests. Testing results indicated that the incorporation of WT can improve the rheological properties of the asphalt binders at low and high temperatures regardless of the WT contents. Besides, WT was shown a positive impact on fracture and bonding performances. It is noted that asphalt binders containing up to 12% of WT had a significant improvement on high-temperature, intermediate temperature fracture, low-temperature cracking, and moisture sensitivity properties. In the end, the present research shows the residual WT as a value-added modifier is a promising solution with both environmental and engineering merits.

ACS Style

Jiandong Huang; Xin Li; G. Shiva Kumar; Yihao Deng; Minghui Gong; Niya Dong. Rheological properties of bituminous binder modified with recycled waste toner. Journal of Cleaner Production 2021, 317, 128415 .

AMA Style

Jiandong Huang, Xin Li, G. Shiva Kumar, Yihao Deng, Minghui Gong, Niya Dong. Rheological properties of bituminous binder modified with recycled waste toner. Journal of Cleaner Production. 2021; 317 ():128415.

Chicago/Turabian Style

Jiandong Huang; Xin Li; G. Shiva Kumar; Yihao Deng; Minghui Gong; Niya Dong. 2021. "Rheological properties of bituminous binder modified with recycled waste toner." Journal of Cleaner Production 317, no. : 128415.

Journal article
Published: 22 July 2021 in Construction and Building Materials
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Porous asphalt mixture (PAM) as a special pavement material with discontinuous gradation has been widely used in pavement engineering because of its versatility caused by high air void content. Aggregate structure plays a significant role in the pavement performance of porous asphalt mixture. In this study, the effects of different size aggregates on the air void ratio and macroscopic aggregate bearing capacity are investigated to put forward an aggregate gradation with a strong aggregate structure. Laboratory tests show that the proposed gradation provides an improved pavement performance for porous asphalt mixture. Moreover, strength mechanisms of aggregate structure in porous asphalt mixture are revealed from a view of the mesoscopic aggregate contact force composition using discrete element method (DEM) simulations considering aggregate irregularity. Finally, the mechanical role of each size aggregate on the aggregate structure is analyzed via mesoscopic aggregate contact force distribution.

ACS Style

Jiaolong Ren; Yinshan Xu; Jiandong Huang; Yi Wang; Zhirong Jia. Gradation optimization and strength mechanism of aggregate structure considering macroscopic and mesoscopic aggregate mechanical behaviour in porous asphalt mixture. Construction and Building Materials 2021, 300, 124262 .

AMA Style

Jiaolong Ren, Yinshan Xu, Jiandong Huang, Yi Wang, Zhirong Jia. Gradation optimization and strength mechanism of aggregate structure considering macroscopic and mesoscopic aggregate mechanical behaviour in porous asphalt mixture. Construction and Building Materials. 2021; 300 ():124262.

Chicago/Turabian Style

Jiaolong Ren; Yinshan Xu; Jiandong Huang; Yi Wang; Zhirong Jia. 2021. "Gradation optimization and strength mechanism of aggregate structure considering macroscopic and mesoscopic aggregate mechanical behaviour in porous asphalt mixture." Construction and Building Materials 300, no. : 124262.

Journal article
Published: 25 April 2021 in Construction and Building Materials
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The aim of this study is to improve the physical and mechanical properties of cement-based materials by adding nanometakaolinite clay (NKC). The results show the mechanism by which NKC modifies cement-based materials at the microscale level. A comparative experimental analysis of micromorphology and pore structure of cement specimens with NKC prepared using different NKC dispersion methods was performed to investigate the influence of the dispersion method and time on the dispersion of NKC in cement slurry. This showed that NKC can be efficiently dispersed in cement slurry by ultrasonic dispersion and stirring lasting 15 min, providing the most significant improvement to the cement pore structure. A large number of Ca(OH)2(CH) crystals in the early stage of hydration of cement are transformed into closely packed calcium silicate hydrate gel, thereby increasing the compactness of the cement matrix. After 28 days of standard curing, the CH crystal content in the hardened cements paste containing 5% of NKC by weight of cement was 12.72% lower than that of ordinary cement paste. The microscale analysis of the hardened cement paste showed that NKC can effectively fill the internal pores of cement-based materials, optimize the pore structure, and significantly improve the microscale compactness. NKC can also effectively improve the early mechanical properties of hardened cement paste. After curing for three days, the bending strength of cement paste prepared with 3% of NKC was 14.97% higher than that of ordinary cement paste. The compressive strength of hardened cement paste with 5% NKC addition was 15.13% higher than that of ordinary cement paste. During the ring test, the cracking time of cement mortar with NKC was earlier initiation and its surface stress–strain increased rapidly. Adding NKC increased the brittleness of hardened cement paste, which increased the risk of early age cracking.

ACS Style

Shiyi Zhang; Yingfang Fan; Jiandong Huang; Surendra P. Shah. Effect of nano-metakaolinite clay on the performance of cement-based materials at early curing age. Construction and Building Materials 2021, 291, 123107 .

AMA Style

Shiyi Zhang, Yingfang Fan, Jiandong Huang, Surendra P. Shah. Effect of nano-metakaolinite clay on the performance of cement-based materials at early curing age. Construction and Building Materials. 2021; 291 ():123107.

Chicago/Turabian Style

Shiyi Zhang; Yingfang Fan; Jiandong Huang; Surendra P. Shah. 2021. "Effect of nano-metakaolinite clay on the performance of cement-based materials at early curing age." Construction and Building Materials 291, no. : 123107.

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.

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: 11 December 2020 in Construction and Building Materials
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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, its ability to resist rutting may face challenges. In the present study, two DAMs are designed based on the open-graded (OG) aggregate structure, and the mechanical properties and resistance to rutting are evaluated. Considering that DAMs are often laid as an intermediate part of the asphalt concrete (AC) layer, a new sample-preparing method based on Superpave Gyration Compactor (SGC) is proposed, and Hamburg wheel tracking (HWT) experimental tests are performed on the prepared samples. Digital image processing (DIP) is used before and after the HWT tests to analyze the mechanism of DAMs in rutting resistance. Results show that DAMs meet the requirements of conventional mechanical properties and have high damping characteristics. Working as an interlayer in the HWT sample, DAMs have better rutting resistance than traditional mixtures due to its denser characteristics, sufficient mechanical strength, and lower water sensitivity.

ACS Style

Jiandong Huang; Jia Zhang; Jiaolong Ren; Haiwei Chen. Anti-rutting performance of the damping asphalt mixtures (DAMs) made with a high content of asphalt rubber (AR). Construction and Building Materials 2020, 271, 121878 .

AMA Style

Jiandong Huang, Jia Zhang, Jiaolong Ren, Haiwei Chen. Anti-rutting performance of the damping asphalt mixtures (DAMs) made with a high content of asphalt rubber (AR). Construction and Building Materials. 2020; 271 ():121878.

Chicago/Turabian Style

Jiandong Huang; Jia Zhang; Jiaolong Ren; Haiwei Chen. 2020. "Anti-rutting performance of the damping asphalt mixtures (DAMs) made with a high content of asphalt rubber (AR)." Construction and Building Materials 271, no. : 121878.

Journal article
Published: 21 November 2020 in Minerals
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Cemented paste backfill (CPB) is widely used in underground mining, and attracts more attention these years as it can reduce mining waste and avoid environmental pollution. Normally, to evaluate the functionality of CPB, the compressive strength (UCS) is necessary work, which is also time and money consuming. To address this issue, seven machine learning models were applied and evaluated in this study, in order to predict the UCS of CPB. In the laboratory, a series of tests were performed, and the dataset was constructed considering five key influencing variables, such as the tailings to cement ratio, curing time, solids to cement ratio, fine sand percentage and cement types. The results show that different variables have various effects on the strength of CPB. The optimum models for predicting the UCS of CPB are a support vector machine (SVM), decision tree (DT), random forest (RF) and back-propagation neural network (BPNN), which means that these models can be directly applied for UCS prediction in future work. Furthermore, the intelligent model reveals that the tailings to cement ratio has the most important influence on the strength of CPB. This research can boost CPB application in the field, and guide the artificial intelligence application in future mining.

ACS Style

Jiandong Liu; Guichen Li; Sen Yang; Jiandong Huang. Prediction Models for Evaluating the Strength of Cemented Paste Backfill: A Comparative Study. Minerals 2020, 10, 1041 .

AMA Style

Jiandong Liu, Guichen Li, Sen Yang, Jiandong Huang. Prediction Models for Evaluating the Strength of Cemented Paste Backfill: A Comparative Study. Minerals. 2020; 10 (11):1041.

Chicago/Turabian Style

Jiandong Liu; Guichen Li; Sen Yang; Jiandong Huang. 2020. "Prediction Models for Evaluating the Strength of Cemented Paste Backfill: A Comparative Study." Minerals 10, no. 11: 1041.

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.