Non-destructive testing methods for road pavement health monitoring: electromechanical assessment of self-sensing asphalt materials
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SPIE
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1. Towards a more efficient and durable load classifier using machine learning analysis of electrical data generated by self-sensing asphalt mixtures;Sensors and Actuators A: Physical;2024-10
2. Influence of cement and water content on the multifaceted capabilities of a self-sensing cement-based geocomposite: a comprehensive analysis;Measurement Science and Technology;2024-05-28
3. Development of Self-Sensing Asphalt Pavements: Review and Perspectives;Sensors;2024-01-25
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