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Coupled Thermo-Electromagnetic microstructural modeling of inductive aggregate blends
- Source :
- Construction and Building Materials. 302:124107
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- A numerical framework is proposed to investigate the effect of steel particles on thermo-electromagnetic response of asphalt concrete aggregate blends. To investigate the effect of microstructural properties on induction heating, aggregates were blended with steel particle with various microstructural characteristics (e.g., size, shape, and geometry). Ampere’s, Maxwell-Faraday’s, Guess’s, Ohm’s and Joule’s laws were coupled to the Fourier’s and Newton’s laws to properly capture heat generation and transfer through conduction and convection mechanisms. Experimental studies were conducted by applying electromagnetic fields to aggregate blends containing inductive particles with different microstructural properties. Microstructural representation of the aggregate blends were reconstructed computationally based on the gradation and properties of aggregates and steel particles. Coupled thermo-electromagnetic simulations were conducted to investigate how microstructural properties of inductive particles affect the induction heating of the aggregate blend. Simulation results as compared to experimental measurements confirm the efficiency and accuracy of the coupled thermo-electromagnetic microstructural simulations. The results are used to determine the optimum design that yields the most efficient inductive aggregate blends.
- Subjects :
- Electromagnetic field
Induction heating
Aggregate (composite)
Materials science
business.industry
Joule
Building and Construction
Physics::Classical Physics
Thermal conduction
Asphalt concrete
Heat generation
Particle
General Materials Science
Composite material
business
Civil and Structural Engineering
Subjects
Details
- ISSN :
- 09500618
- Volume :
- 302
- Database :
- OpenAIRE
- Journal :
- Construction and Building Materials
- Accession number :
- edsair.doi...........ed2a5f69f365d4df9e86f7a1bf61325e