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Linbing Wang

Linbing Wang
301-N Patton Hall
Blacksburg, VA, USA 24061
Mail Code: (0105)

Program Area : Transportation Infrastructure and Systems Engineering
Professional Registration : P.E., Georgia

Area of Interest

  • Smart and sustainable technologies, energy harvesting, IoT sensing network and health monitoring, innovative infrastructure assessment and predictive data analytics;
    Material genome for multifunctional materials, multiple-scale characterization, modeling and simulation;
    Pavement testing and mechanistic pavement design, transportation infrastructure preservation and risk management;
    Application of remote sensing and imaging techniques, and digital twins technology.
  • B.S. (1984) Hohai University, Hydraulic Engineering
  • M.S. (1991) Tongji University, Geotechnical Engineering
  • M.S. (1995) Georgia Institute of Technology, Civil Engineering
  • Ph.D. (1998) Georgia Institute of Technology, Civil Engineering
  • Fellow, Engineering Mechanics Institute, ASCE
  • Dean Fellowship, 2007, Virginia Tech
  • Sowers Distinguished Graduate Student Award, 1998, Georgia Tech
  • CEE 2804 : Introduction to Civil and Environmental Engineering
  • CEE 3684 : CEE Materials
  • CEE 4634 : Infrastructure Condition Assessment
  • CEE 4664 : Pavement Design
  • CEE 5674 : Advanced Pavement Design
  • CEE 5834 : Asphalt and Pavement Modeling
  • (SPRING 2018) Smart and Green Infrastructure
  • (SPRING 2018) Sensing and Deep Learning
  • CEE 5984: (Fall 2018) Safety of Interdependent Infrastructure
  • Nanomechanics for Structural Materials, Exploratory Advanced Research, USDOT
  • Energy Harvesting from Public Roadways, Exploratory Advanced Research, USDOT
  • USDOT Regional UTC Baseline Support for Integrated Traffic and Health Monitoring for Transportation Infrastructure Management
  • Collaborative Research: MEMONET: Understanding Memory in Neuronal Networks through a Brain-inspired Spin-based Artificial Intelligence, National Science Foundation
  • Development and Implementation of Digital Specimen and Digital Tester Technique for Infrastructure Materials, National Science Foundation
  • Modeling, Simulation, Visualization and Damage Characterization for Penetration into Concrete Target, Department of Defense
  • Digital Mix Design for Performance Optimization of Asphalt Concrete, National Science Foundation
  • A Portable Imaging System for Aggregate Characterization, Virginia Transportation Research Council
  • Application of LADAR in the Analysis of Aggregate Characteristics, National Cooperative Research Program
  • Unified Approach for Multiscale Characterization, Modeling and Simulation of Stone-based Infrastructure Materials, National Science Foundation
  • Wang W, Wang L, Miao Y, Cheng C, Chen S.(2020). A survey on the influence of intense rainfall induced by climate warming on operation safety and service life of urban asphalt pavement. Journal of Infrastructure Preservation and Resilience. Vol. Article No.4.
  • Li, Y., & Wang, L. (2020). Computer-Aided Procedure for Analysis of Effect of Gradation and Compaction Temperature in Asphalt Mix Design by Using DEM. Journal of Transportation Engineering, Part B: Pavements, 146(2), 1–8.
  • Chu, C., Yang, H., & Wang, L. (2019). Design of a pavement scanning system based on structured light of interference fringe. Measurement, 145, 410-418.
  • Meng, L., Wang, L., Xiong, H., Wang,H., & Guo X. (2019). An investigation in the influence of helical structure on bend loss of pavement optical fiber sensor. Optik, 183, 189-199.
  • Tong, X., Yang, H., Wang, L., & Miao, Y. (2019). The development and field evaluation of an iot system of low-power vibration for bridge health monitoring. Sensors (Switzerland), 19(5).
  • Ye, Z., Xiong, H., & Wang, L. (2019). Collecting comprehensive traffic information using pavement vibration monitoring data. Computer‐Aided Civil and Infrastructure Engineering. Vol.35, No.2, pp134-149.
  • Hou, Y., Wang, X., Sun, W., & Wang, L. (2018). A multiscale DEM-FEM approach to investigate the tire–pavement friction. International Journal of Pavement Engineering, 19(5), 399-406.
  • Sun, W., Xue, W., Zhang, Y., & Wang, L. (2018). Framework for determining material genome of granular materials: material characterization and numerical simulation at multiple spatial scales. International Journal of Pavement Research and Technology, 11(2), 195-204.
  • Xiong, H., & Wang, L. (2016). Piezoelectric energy harvester for public roadway: On-site installation and evaluation. Applied Energy, Vol.174, pp. 101-107.
  • Book: Mechanics of Asphalt, Microstructure and Micromechanics, 2010, McGraw-Hill
  • L.B. Wang, X. Wang, L. Mohammad, and C. Abadie (2004). A Unified Method to Quantify Aggregate Shape Angularity and Texture Using Fourier Analysis, ASCE Journal of Construction Materials, Vol.17, No.5, pp498-504.
  • L.B. Wang, J.Y. Park and Y.R. Fu (2007). Representation of Real Particles for DEM Simulation using X-ray Tomography. Journal of Construction and Building Materials, Vol.21, No.2, pp. 338-348.
  • Y.R. Fu, L.B. Wang, M. Tumay and Qingbin Li(2008). Quantification and Simulation of Particle Kinematics and Local Strains in Granular Materials Using X-ray Tomography Imaging and Discrete Element Method. Vol. 134, No. 2, pp 143-154.