Yizhuang Wang

Wang, Y. D., Ghanbari, A., Underwood, B. S., & Kim, Y. R. (2021, June 9). Development of framework of the predictive performance-engineered mix design procedure for asphalt mixtures. INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING. https://doi.org/10.1080/10298436.2021.1938044

Ashouri, M., Wang, Y., Choi, Y.-T., & Kim, Y. (2021). Development of healing model and simplified characterization test procedure for asphalt concrete. CONSTRUCTION AND BUILDING MATERIALS, 271. https://doi.org/10.1016/j.conbuildmat.2020.121515

Wang, Y. D., Ghanbari, A., Underwood, B. S., & Kim, Y. R. (2021). Development of preliminary transfer functions for performance predictions in FIexPAVE (TM). CONSTRUCTION AND BUILDING MATERIALS, 266. https://doi.org/10.1016/j.conbuildmat.2020.121182

Wang, Y. D., & Kim, Y. R. (2021). Effects of Aging on Pavement ME Predictions of Permanent Deformation for HMA and WMA Mixtures. JOURNAL OF TRANSPORTATION ENGINEERING PART B-PAVEMENTS. https://doi.org/10.1061/JPEODX.0000319

Wang, Y. D., Jeong, J., & Kim, Y. R. (2020). Comparison of Treatment Timing between Aggregate Base and Full-Depth Asphalt Roads. JOURNAL OF TRANSPORTATION ENGINEERING PART B-PAVEMENTS, 146(4). https://doi.org/10.1061/JPEODX.0000216

Wang, Y. D., Underwood, B. S., & Kim, Y. R. (2020). Development of a fatigue index parameter, S-app, for asphalt mixes using viscoelastic continuum damage theory. INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING. https://doi.org/10.1080/10298436.2020.1751844

Jeong, J., Wang, Y. D., Ghanbari, A., Nash, C., Nener-Plante, D., Underwood, B. S., & Kim, Y. R. (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. CONSTRUCTION AND BUILDING MATERIALS, 263. https://doi.org/10.1016/j.conbuildmat.2020.120150

Ding, J., Wang, Y. D., Gulzar, S., Kim, Y. R., & Underwood, B. S. (2020). Uncertainty Quantification of Simplified Viscoelastic Continuum Damage Fatigue Model using the Bayesian Inference-Based Markov Chain Monte Carlo Method. TRANSPORTATION RESEARCH RECORD. https://doi.org/10.1177/0361198120910149

Wang, Y. D., Ghanbari, A., Underwood, B. S., & Kim, Y. R. (2019). Development of a Performance-Volumetric Relationship for Asphalt Mixtures. TRANSPORTATION RESEARCH RECORD, 2673(6), 416–430. https://doi.org/10.1177/0361198119845364

Wang, Y., & Kim, Y. R. (2019). Development of a pseudo strain energy-based fatigue failure criterion for asphalt mixtures. INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING, 20(10), 1182–1192. https://doi.org/10.1080/10298436.2017.1394100

Etheridge, R. A., Wang, Y. D., Kim, S. S., & Kim, Y. R. (2019). Evaluation of Fatigue Cracking Resistance of Asphalt Mixtures Using Apparent Damage Capacity. JOURNAL OF MATERIALS IN CIVIL ENGINEERING, 31(11). https://doi.org/10.1061/(ASCE)MT.1943-5533.0002870

Zhang, J., Wang, Y. D., & Su, Y. (2019). Fatigue damage evolution model of asphalt mixture considering influence of loading frequency. CONSTRUCTION AND BUILDING MATERIALS, 218, 712–720. https://doi.org/10.1016/j.conbuildmat.2019.05.029

Wang, Y. D., Keshavarzi, B., & Kim, Y. R. (2018). Fatigue Performance Prediction of Asphalt Pavements with FlexPAVE (TM), the S-VECD Model, and D-R Failure Criterion. TRANSPORTATION RESEARCH RECORD, 2672(40), 217–227. https://doi.org/10.1177/0361198118756873

Wang, Y. D., Keshavarzi, B., & Kim, Y. R. (2018). Fatigue performance analysis of pavements with RAP using viscoelastic continuum damage theory. KSCE Journal of Civil Engineering, 22(6), 2118–2125. https://doi.org/10.1007/s12205-018-2648-0

Wang, Y. Z., Norouzi, A., & Kim, Y. R. (2016). Comparison of fatigue cracking performance of asphalt pavements predicted by pavement me and LVECD programs. Transportation Research Record, (2590), 44–55. https://doi.org/10.3141/2590-06

Sabouri, M., Choi, Y. T., Wang, Y. Z., Hwang, S. D., Baek, C., & Kim, R. Y. (2016). Effect of rejuvenator on performance properties of WMA mixtures with high RAP content. 8th rilem international symposium on testing and characterization of sustainable and innovative bituminous materials, 11, 473–484. https://doi.org/10.1007/978-94-017-7342-3_38