This investigation represents porothermoelastic asphalt material with thermal shock due to multi-phase lag model of thermoelasticity. By applying proper boundary conditions to the normal mode approach, we were able to achieve the precise solution. The graphs provide numerical results for the physical quantities supplied in physical domain. The temperature, displacement, and stress distribution numerical results are given and graphically displayed. To explain the impacts of voids, tine, and phase-lags on the field quantities, comparisons have been done. This research is interesting because it applies the multi-phase lag model and porothermoelasticity to asphalt materials, especially when considering thermal shock. The potential to enhance the longevity, performance, and sustainability of asphalt infrastructure-roadways, bridges, and runways-makes the significance wide. This research provides a more nuanced and realistic modeling method, which is crucial for developing more resilient and effective infrastructure, by taking into account delayed thermal and mechanical reactions as well as the interaction between heat, mechanical stress, and fluid flow.
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http://dx.doi.org/10.1016/j.heliyon.2024.e41153 | DOI Listing |
Heliyon
January 2025
Department of Mathematics, Faculty of Science, Zagazig University, P.O. Box 44519, Zagazig, Egypt.
This investigation represents porothermoelastic asphalt material with thermal shock due to multi-phase lag model of thermoelasticity. By applying proper boundary conditions to the normal mode approach, we were able to achieve the precise solution. The graphs provide numerical results for the physical quantities supplied in physical domain.
View Article and Find Full Text PDFHeliyon
April 2024
Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh 84428, Saudi Arabia.
Time series forecasting across different domains has received massive attention as it eases intelligent decision-making activities. Recurrent neural networks and various deep learning algorithms have been applied to modeling and forecasting multivariate time series data. Due to intricate non-linear patterns and significant variations in the randomness of characteristics across various categories of real-world time series data, achieving effectiveness and robustness simultaneously poses a considerable challenge for specific deep-learning models.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
February 2024
State Grid Shanghai Electric Power Company Shibei Power Supply Company, Shanghai, 200070, China.
Based on China's empirical data from 2000 to 2020 of 1875 county-level administrative units, combined with the multi-phase by the propensity score matching and difference-in-difference (PSM-DID) model, this paper studies the impact of clean energy demonstration province policies on the carbon intensity of pilot counties, and its further impact on carbon emissions and economic development level. The results showed that 1. from a county-level perspective, although the economic development level of the pilot areas of clean energy demonstration provinces has improved as the carbon emissions have also increased, what is more, the carbon intensity has also significantly improved in this process; 2.
View Article and Find Full Text PDFSci Rep
August 2023
Department of Electronic Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul, 133-791, Republic of Korea.
While zero-phase lag synchronization between multiple brain regions has been widely observed, relatively recent reports indicate that systematic phase delays between cortical regions reflect the direction of communications between cortical regions. For example, it has been suggested that a non-zero phase delay of electroencephalography (EEG) signals at the gamma frequency band between the bilateral parietal areas may reflect the direction of communication between these areas. We hypothesized that the direction of communication between distant brain areas might be modulated by multi-site transcranial alternating current stimulation (tACS) with specific phase delays other than 0° and 180°.
View Article and Find Full Text PDFMaterials (Basel)
September 2022
Department of Mathematics, Faculty of Science, King Abdulaziz University, P.O. Box 80203, Jeddah 21589, Saudi Arabia.
The article presents the interactions of magneto-thermoelastic effects in an isotropic material with a spherical cavity. The spherical cavity is expected to be tractionless and subjected to both heat and magnetic fields. The motion equation contains the Lorentz force.
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