Prediction of remaining service life of cement concrete pavement in airfield runway
Source abstract
Abstract
An improved Remaining Service Life (RSL) prediction model of slab based on strain gauge data was presented in this paper. Numerical simulation models were developed to analyse the responses on airfield pavement slabs for more than 10,935 loading scenarios. Then, the bottom transverse strains of the slab, as well as the slab thickness, elastic modulus of the slab, base thickness and elastic modulus of the base, were used to calculate the Cumulative Damage Factor (CDF) of the slab. The slab was divided into different strips to accurately locate the failure zone. The RSL of the slab calculated by the model developed were compared with result of the FAARFIELD software. The results showed that the RSL prediction method proposed in this paper is within 5% of the results of FAARFIELD. Furthermore, the constructed model for predicting the RSL of slabs can capture the failure regions of airfield runways.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Infrastructure Maintenance and Monitoring · Concrete Corrosion and Durability · Asphalt Pavement Performance Evaluation
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Roadway Engineering, School of Transportation, Southeast University, Nanjing, People’s Republic of China
National Demonstration Center for Experimental Road and Traffic Engineering Education, Southeast University, Nanjing, People’s Republic of China
Air Force Academy Engineering Design Institute, Beijing, People’s Republic of China
Funding
National Natural Science Foundation of China · Natural Science Foundation of Jiangsu Province
References (48)
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