Yizhuang Wang

Bio

Dr. David Wang joined North Carolina A&T State University in Fall 2024 as a tenure-track faculty member in the Department of Civil, Architectural, and Environmental Engineering. His research focuses on the mechanical modeling of transportation materials, with an emphasis on enhancing pavement resilience and performance. He is also advancing sustainable paving materials and technologies.

Research Interests

• Construction materials characterization, multi-scale modeling of asphalt materials, computational mechanics
• Sustainable transportation infrastructure, climate change adaptation for transportation systems
• Pavement engineering: pavement design, pavement performance evaluation and testing, pavement preservation, repair and rehabilitation, pavement management system

Recent Publications

• Farshad Saberi K., David Wang, Jenny Liu (2024). (Evaluation of thermal and rheological properties of phase change material-incorporated asphalt mastic with porous fillers). (1) 2678, Transportation Research Record.
• Chenxi Chen, Yang Song, David Wang, Xianbiao Hu, Jenny Liu (2023). (A machine learning-based approach to assess impacts of autonomous vehicles on pavement roughness). (2254) 381, Philosophical Transactions of the Royal Society A.
• David Wang, Jun Liu, Jenny Liu (2023). (Integrating Quality Assurance in Balance Mix Designs for Durable Asphalt Mixtures: State-Of-The-Art Literature Review). (1) 149, ASCE Journal of Transportation Engineering Part B: Pavements.
• Yang Song, David Wang, Xianbiao Hu, Jenny Liu (2022). (An efficient and explainable ensemble learning model for asphalt pavement condition prediction based on LTPP dataset). (11) 23, pp. 22084-22093. IEEE Transactions on Intelligent Transportation Systems.
• David Wang, Benjamin Underwood, Youngsoo Kim (2022). (Development of a fatigue index parameter, Sapp, for asphalt mixes using viscoelastic continuum damage theory). (2) 23, pp. 438-452. International Journal of Pavement Engineering.
• David Wang, Amir Ghanbari, Benjamin Underwood, Youngsoo Kim (2022). (Development of framework of the predictive performance-engineered mix design procedure for asphalt mixtures). (12) 23, pp. 4190-4205. International Journal of Pavement Engineering.
• Hanli Wu, David Wang, Xiong Zhang, Jenny Liu (2022). (Impacts of lightweight aggregate interlayers for air convection embankment on pavement thermal profile and pavement performance in Alaskan permafrost regions). (12) 2676, Transportation Research Record.
• Morteza Ashouri, David Wang, Yeong-Tae Choi, Youngsoo Kim (2021). (Development of healing model and simplified characterization test procedure for asphalt concrete). 271, Construction and Building Materials.
• David Wang, Amir Ghabari, Benjamin Underwood, Youngsoo Kim (2021). (Development of preliminary transfer functions for performance predictions in FlexPAVE). 266, Construction and Building Materials.
• David Wang, Youngsoo Kim (2021). (Effects of Aging on Pavement ME Predictions of Permanent Deformation for HMA and WMA Mixtures). (4) 147, Journal of Transportation Engineering, Part B: Pavements.
• David Wang, Jaehoon Jeong, Youngsoo Kim (2020). (Comparison of treatment timing between aggregate base and full-depth asphalt roads). (4) 146, Journal of Transportation Engineering, Part B: Pavements.
• Jaehoon Jeong, David Wang, Amir Ghanbari, Casey Nash, Derek Nener-Plante, Benjamin Underwood, Youngsoo Kim (2020). (Pavement performance predictions using performance-volumetric relationship and evaluation of construction variability: Example of MaineDOT shadow project for the development of performance-related specifications). 263, Construction and Building Materials.
• Jing Ding, David Wang, Saqib Gulzar, Youngsoo Kim, Benjamin Underwood (2020). (Uncertainty quantification of simplified viscoelastic continuum damage fatigue model using the bayesian inference-based markov chain monte carlo method). (4) 2674, Transportation Research Record.
• David Wang, Amir Ghanbari, Benjamin Underwood, Youngsoo Kim (2019). (Development of a performance-volumetric relationship for asphalt mixtures). (6) 2673, pp. 410-430. Transportation Research Record.
• David Wang, Youngsoo Kim (2019). (Development of a pseudo strain energy-based fatigue failure criterion for asphalt mixtures). (10) 20, pp. 1182-1192. International Journal of Pavement Engineering.
• Robert Etheridge, David Wang, S. Kim, Youngsoo Kim (2019). (Evaluation of fatigue cracking resistance of asphalt mixtures using apparent damage capacity). (11) 31, Journal of Materials in Civil Engineering.
• Jun Zhang, David Wang, Yongtao Su (2019). (Fatigue damage evolution model of asphalt mixture considering influence of loading frequency). 218, pp. 712-720. Construction and Building Materials.
• David Wang, Behrooz Behrooz, Youngsoo Kim (2018). (Fatigue performance analysis of pavements with RAP using viscoelastic continuum damage theory). 22, pp. 2118-2125. KSCE Journal of Civil Engineering.
• David Wang, Behrooz Keshavarzi, Youngsoo Kim (2018). (Fatigue Performance Prediction of Asphalt Pavements with FlexPAVETM, the S-VECD Model, and DR Failure Criterion). (40) 2672, pp. 217-227. Transportation Research Record.
• David Wang, Amirhossein Norouzi, Youngsoo Kim (2016). (Comparison of fatigue cracking performance of asphalt pavements predicted by pavement ME and LVECD programs). (1) 2590, pp. 44-55. Transportation Research Record.