Evaluation of Self-Healing Performance of Asphalt Concrete for Macrocracks via Microwave Heating

Zhu, Haojin; Yuan, Hai Yan; Liu, Yufeng; Fan, Shiping; Ding, Yongjie

doi:10.1061/(asce)mt.1943-5533.0003332

Cited by 27 publications

(13 citation statements)

References 27 publications

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“…On the other hand, different asphalt mixtures demonstrated various heat transfer rates, which means the mixture design will have an impact on the heating efficiency of microwave. However, the relationship between heating time and temperature was found to be approximately linear for all the asphalt mixtures, and this trend was also found in other studies ( 14 , 27 ). The possible reason is that although the thermal property of asphalt mixtures varies with temperature, the electromagnetic property is relative stable ( 28 ), so the temperature change caused by electromagnetic heating is much more remarkable than that of thermal conduction.…”

Section: Laboratory Experimentssupporting

confidence: 88%

“…In addition, as the HIR system with infrared radiation typically uses propane fuel, some concerns have arisen about smoke generation. Recently, microwave heating has been adopted as a new technique in pavement engineering activities such as pothole repair, accelerated curing, healing asphalt mixture, snow melting, or deicing ( 12 – 15 ). It can generate large amounts of heat by the collision and friction of polarized molecules inside the materials.…”

mentioning

confidence: 99%

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Evaluation of Microwave Heating for Potential Applications in Hot In-Place Recycling of Asphalt Pavement

Chen

Wang

Jiang

et al. 2022

Transportation Research Record: Journal of the Transportation R

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Hot in-place recycling (HIR) has been adopted in pavement engineering because of its low financial cost and lower consumption of nonrenewable material. At present, infrared heating is the most common heating method in HIR, while microwave heating has been proposed as an alternative to it recently. This study investigated and compared the characteristics of microwave and infrared heating by laboratory experiments and numerical modeling. Laboratory tests were first conducted to determine thermal parameters of asphalt mixture and calibrate electromagnetic parameters based on numerical simulation. Two numerical models of microwave and infrared heating under field conditions were further established for analyzing the heating characteristics, including the temperature distribution, heat transfer rate, and energy consumption. The results show that infrared heating can only heat the pavement at shallow depth, while microwave heating can heat the pavement surface and the materials at greater depths to high temperatures. An increase in power was found to enhance the efficiency of microwave heating but to maybe reduce that of infrared heating. Moreover, under the same power, microwave heating needs much less time and energy than infrared heating to reach the same temperature. Microwave heating shows great potential to be applied for HIR of asphalt pavement with the increased recycling depth.

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Section: Laboratory Experimentssupporting

confidence: 88%

mentioning

confidence: 99%

Evaluation of Microwave Heating for Potential Applications in Hot In-Place Recycling of Asphalt Pavement

Chen

Wang

Jiang

et al. 2022

Transportation Research Record: Journal of the Transportation R

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“…Since the implementations of PID controller are often using microcontrollers, equation ( 9) needs to be transformed in discrete form. Equation (10) shows the discrete form of PID controller using the z-transform.…”

Section: Pid Controllermentioning

confidence: 99%

“…Several works on microwave heating technology had been conducted by engineers. They covered starting from modelling microwave heating system [2][3][4], designing the control system for temperature produced by microwave generator [5][6][7], to performance evaluation of products processed by microwave heating system [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Microwave heating control system using genetic algorithm-based PID controller

Apriaskar

Prastiyanto

Malik

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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The superiorities of microwave heating technology have attracted many researchers for further development. Designing a satisfying temperature control system for the microwave system is one of them. To confirm that the controller can work with good system performance, the adjustment of controller parameters is important. Most previous research about microwave control systems did not focus on the tuning problem which is presented in this work. This paper provides the use of a genetic algorithm to adjust the best parameters for a PID controller. A microwave heating system with a single microwave power input and a single output temperature probe which is identified using the ARX model is examined. Evaluation of the proposed controller was conducted in the simulation environment using MATLAB. The result shows that the genetic algorithm can obtain the most optimized parameter for PID controller which can follow a certain heating pattern. The parameters for Kp, Ki, and Kd are 998.94, 79.42, and 79.78, respectively. It can minimize the value of integral absolute error for the given setpoint to 446.11.

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“…The results confirmed that the SBS modifier exerted a promotional effect on asphalt healing and demonstrated a healing trend consistent with that of the matrix asphalt. Hongzhou Zhu (Zhu et al, 2020) analyzed the temperature on selfhealing properties of asphalt. Microwave heating of the asphalt mixture was performed to determine the surface temperature, and the tensile strength ratio from the experiment was used as the healing index.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Self-Healing Process of Asphalt and its Influencing Factors

Luo

Jiao³

et al. 2022

BJRBE

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Molecular dynamics was used in this study to understand the self-healing behavior and mechanism of asphalt. Density, solubility, and mean square displacement parameters were analyzed to confirm the validity of the matrix asphalt model. Molecular simulation software was used to develop a microscopic matrix asphalt self-healing model at the nanoscale. Cracking width of asphalt microcracks was represented by setting different vacuum layer thicknesses as the asphalt self-healing model. Density and diffusion coefficient of the self-healing model were obtained by running the molecular software to understand the entire process of asphalt healing. The self-healing mechanism of the matrix asphalt was analyzed. Results showed that the entire self-healing process of asphalt could be clearly divided into four stages, namely, external environment energy endowment, model end healing, asphalt microcrack healing, and self-healing model self-diffusion stages. Molecules of each component in the asphalt self-healing process diffuse and move mutually under constant temperature conditions. The diffusion coefficient of saturated components and polar aromatic was higher than that of asphaltenes and aromatic components.

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Evaluation of Self-Healing Performance of Asphalt Concrete for Macrocracks via Microwave Heating

Cited by 27 publications

References 27 publications

Evaluation of Microwave Heating for Potential Applications in Hot In-Place Recycling of Asphalt Pavement

Evaluation of Microwave Heating for Potential Applications in Hot In-Place Recycling of Asphalt Pavement

Microwave heating control system using genetic algorithm-based PID controller

Analysis of the Self-Healing Process of Asphalt and its Influencing Factors

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