@article{kim_kim_2017, title={Characterization of Permanent Deformation of Asphalt Mixtures with Minimum Strain Rate, LVECD Program, and Triaxial Stress Sweep Test}, ISSN={["2169-4052"]}, DOI={10.3141/2631-11}, abstractNote={ The rutting resistance of asphalt concrete is typically assessed by using flow number tests in the lab in accordance with AASHTO TP 79. However, the flow number represents the rutting resistance of the material with regard to ranking for only a specific test condition. A significant amount of testing effort is needed to evaluate rutting resistance by using the flow number test under various loading conditions and temperatures. Therefore, researchers have developed alternative test methods to reduce the testing effort. For example, the incremental repeated-load permanent deformation test and the triaxial stress sweep (TSS) test are two promising protocols that can predict the permanent deformation of asphalt mixtures efficiently and accurately. This study compares the minimum strain rates (MSRs) obtained from incremental repeated-load permanent deformation and TSS tests to examine the ability of the TSS test to analyze the MSRs of asphalt mixtures. In addition, the viscoplastic shift model calibrated from the TSS test that is implemented in the layered viscoelastic pavement analysis for critical distresses (LVECD) program was used to predict the rut depths of 16 pavement sections from four sources. The MSRs and rut depths predicted from the LVECD program were compared with actual measured rut depths. The results of this study indicated that the MSR results could only be used to rank the rutting susceptibility of single-layer asphalt pavements. For a multilayered pavement system, structural level analysis is necessary to predict the accurate rutting performance and rut depths of the test sections. }, number={2631}, journal={TRANSPORTATION RESEARCH RECORD}, author={Kim, Dahae and Kim, Y. Richard}, year={2017}, pages={96–104} }
 @article{kim_kim_2017, title={Determination of Dynamic Modulus Values of Asphalt Mixtures Using Impact Resonance Testing of Thin Disk Specimens}, volume={45}, ISSN={["1945-7553"]}, DOI={10.1520/jte20150076}, abstractNote={Abstract}, number={2}, journal={JOURNAL OF TESTING AND EVALUATION}, author={Kim, D. and Kim, Y. R.}, year={2017}, month={Mar}, pages={509–520} }
 @article{kim_norouzi_kass_liske_kim_2017, title={Mechanistic performance evaluation of pavement sections containing RAP and WMA additives in Manitoba}, volume={133}, ISSN={["1879-0526"]}, DOI={10.1016/j.conbuildmat.2016.12.035}, abstractNote={Over recent decades, the utilization of reclaimed asphalt pavement (RAP) and warm mix asphalt (WMA) in mixtures has increased dramatically due to the environmental and economic advantages of these materials. This paper presents the fatigue and rutting characterization of mixtures that contain RAP and/or WMA obtained from Manitoba in Canada. In addition to mechanical testing, numerical simulations of the fatigue cracking and rutting performance of the pavement sections were performed, and the results were compared to field observations. The results obtained from the Layered Viscoelastic pavement analysis for Critical Distresses (LVECD) program and from the field measurements show good agreement, thereby indicating that the LVECD program is able to predict reasonable pavement performance for the RAP and WMA mixtures. The field performance and the predicted performance were used to evaluate the effects of RAP and/or WMA additives on the fatigue cracking and rutting performance of the mixtures.}, journal={CONSTRUCTION AND BUILDING MATERIALS}, author={Kim, Dahae and Norouzi, Amirhossein and Kass, Said and Liske, Tara and Kim, Y. Richard}, year={2017}, month={Feb}, pages={39–50} }
 @article{norouzi_kim_kim_2016, title={Numerical evaluation of pavement design parameters for the fatigue cracking and rutting performance of asphalt pavements}, volume={49}, ISSN={["1871-6873"]}, DOI={10.1617/s11527-015-0744-x}, number={9}, journal={MATERIALS AND STRUCTURES}, author={Norouzi, Amirhossein and Kim, Dahae and Kim, Y. Richard}, year={2016}, month={Sep}, pages={3619–3634} }