My research interests focus on non-destructive testing of civil infrastructures including pavements, bridges and railroads. During my Master’s research, I developed an advanced signal processing technique based on discrete wavelet transform to interpret the complex ground penetrating radar (GPR) data collected from railroad ballast. The tool I developed enables a huge amount of data to be processed automatically, continuously, quickly and without user dependence, which has not previously been achieved by other data processing approaches. Currently, I am now developing an application of asphalt pavement compaction monitoring using GPR. This technique would enable a compactor operator to monitor the density change after each compaction pass and to make adjustments in real time. This new technique holds promise for developing an “intelligent” compactor in the near future.
Selected publications are listed below.
Pengcheng Shangguan and Imad Al-Qadi (2014). Calibration of FDTD Simulation of GPR Signal for Asphalt Pavement Compaction Monitoring, IEEE Transactions on Geoscience and Remote Sensing, Vol. 53, Iss. 4.
Pengcheng Shangguan and Imad Al-Qadi (2014). Texture Retrieval of Ground Penetrating Radar Images Collected from Fouled Railroad Ballast, Construction and Building Materials, Vol. 69, pp. 10-17.
Pengcheng Shangguan, Samer Lahouar, and Imad Al-Qadi (2014). Pattern Recognition Algorithms for Density Estimation of Asphalt Pavement during Compaction: A Simulation Study, Journal of Applied Geophysics, Vol. 107, pp. 8-15.
Pengcheng Shangguan, Imad Al-Qadi, Zhen Leng, Robert L. Schmitt and Ahmed Faheem (2013). An Innovative Approach for Asphalt Pavement Compaction Monitoring Using Ground Penetrating Radar, accepted for publication in Journal of the Transportation Research Board.
Pengcheng Shangguan, Imad Al-Qadi and Zhen Leng (2012). Development of Wavelet Technique for Railroad Ballast Fouling Condition Quantification Using Ground Penetrating Radar Data, Journal of the Transportation Research Board, Vol 2289, pp. 95-102.
Zhen Leng, Imad Al-Qadi and Pengcheng Shangguan (2012). Field Application of Ground-Penetrating Radar for Asphalt Mixture Density Measurement: Case Study of Illinois Route 72 Overlay, Journal of the Transportation Research Board, Vol 2304, pp. 133-144.
Zhen Leng, Imad Al-Qadi and Pengcheng Shangguan (2011). Monitoring of Asphalt Pavement Compaction Using Ground Penetrating Radar. Presentation at 2011 Annual FWD User’s Group Meeting, Champaign, IL.
Fenglan Bian, Xiaoming Huang, Pengcheng Shangguan and Xiaofeng Yu (2009). Warning Model for Debt Risk of Toll Highway Based on Efficacy Coefficient Method, Proceedings of the Second International Conference on Transportation Engineering, Vol 2, pp 1182-1189.
Yuhong Jiang, Tao Ma, Pengcheng Shangguan (2009). Study on Extraction and Recovery Experiments of Stone Matrix Asphalt, Journal of Hefei University of Technology (Chinese),Vol 32, Iss 2, pp 252-255.
Min Yang, Wei Wang, Xuewu Chen, Tao Wan and Pengcheng Shangguan (2009). Activity Pattern Choice of Work Commuting Trip by Workers, Journal of Southwest Jiaotong University (Chinese), Vol 44, Iss 2, pp 274-279.
Tao Ma, Pengcheng Shangguan, Xiaoming Huang and Guoqiang Xue (2008). Research on the Equivalent Axle-number Coefficients on Asphalt Pavement with Rigid Base, Journal of Transportation Engineering and Information (Chinese), Vol 6, Iss 3, pp 36-40.