Inverse Analysis of Pavement Thickness Based on Improved Particle Swarm Optimization

Abstract:

Core-drilling is the traditional pavement thickness detection method. However, this way is low efficient and destructive. The Ground Penetrating Radar (GPR) is a continuous, high efficient, non-destructive pavement quality testing tool. The dielectric constant, thickness and other information of pavement structure layer are obtained by inverse analysis of GPR echo signal. In this paper, the improved Particle Swarm Optimization (IPSO) is developed to analyze the dielectric constant and thickness of the pavement structure. Compared with inverse analysis results of theoretical model, the inverse precision of IPSO is higher than that of PSO. In addition, the measured echo signal of GPR is analyzed by the IPSO. The errors between inverse results and the actual core-drilling measurements are less than 3%.

• Periodical: Advanced Materials Research (Volumes 850-851)
• Pages: 813-816
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.850-851.813
• Online since: December 2013
• Authors: Hong Yuan Fang*, Jian Li, Yue Meng Wang, Jia Li
• Keywords: Ground Penetrating Radar (GPR), Improved Particle Swarm Optimization, Inverse Analysis, Thickness

References

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[3] H.Y. Fang, G. Lin, and R.L. Zhang. The first-order Symplectic Euler method for simulation of GPR wave propagation in pavement structure, IEEE Trans. on Geoscience and Remote Sensing, Vol. 51 (2013) No. 1, pp.93-98.

DOI: 10.1109/tgrs.2012.2202121