Visualisation detection of moisture accumulation in asphalt materials using electrical capacitance tomography technology
Source abstract
Abstract
This paper aims to develop a visualisation detection method of moisture accumulation in asphalt materials using electrical capacitance tomography technology. Firstly, the validity of capacitance data measured by circular capacitance sensor for asphalt materials was analysed. Then, the moisture accumulation in asphalt materials was reconstructed and the optimal imaging method was obtained. Finally, the imaging quality under different conditions was evaluated. It is found that the capacitance values of asphalt specimens measured by circular capacitance sensor show a good ‘U’ curve trend. The Maxwell normalisation model and the Landweber algorithm have been empirically validated for their superior imaging quality in detecting moisture accumulation within asphalt materials. The images reconstructed in the central region appear nearly circular with no apparent defect boundaries, whereas those in the eccentric region near the electrode plate exhibit clear boundaries. Additionally, the dimensions and water content of moisture accumulation impact image quality.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Electrical and Bioimpedance Tomography · Flow Measurement and Analysis · Non-Destructive Testing Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Transportation, Southeast University
Southeast University
Nanjing Tech University
Nanjing University of Science and Technology
Funding
National Natural Science Foundation of China · Tibet Autonomous Region 2024 Major Science and Technology Special Project
References (62)
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