A number of warm-mix asphalt (WMA) technologies are used to reduce the temperature at which the asphalt mixtures are produced and compacted, apparently without compromising the performance of the pavement. The main objective of this study is to determine whether the use of an innovative wax-based LEADCAP WMA additive influences the performance of the asphalt mixture, which is produced and compacted at significantly low temperatures. The WMA pavement using LEADCAP additive (WMA-LEADCAP) along with a control HMA pavement was evaluated with respect to their performances of rutting resistance, crack resistance, and viscoelastic property based on the laboratory dynamic modulus test, indirect tensile strength test, and in-door accelerated pavement test (APT) results. With the limited data carried out, the LEADCAP additive is effective in producing and paving asphalt mixture at approximately 30掳C lower temperature than a control HMA mixture, and the performances of WMA-LEADCAP pavement are comparable to a control HMA pavement.
This paper proposes an efficient Harmony Search (HS) algorithm for determining the material parameters of a fatigue cracking model based on Accelerated Pavement Testing (APT). APT is preferred over typical laboratory experiments and testing because APT can simulate field pavement performance. The main advantage of the HS heuristic algorithm is its ability to find the best global solution of a nonlinear complex function based on a stochastic random search instead of a gradient search that requires derivative information. Finally, this paper develops a fatigue cracking model according to the hypothesis of cumulative damage for the asphalt concrete layer and compares APT to existing models. In comparison with existing models, the APT model is found to have the capability of simulating the field performance because it considers the wandering effect, resulting in longer fatigue cracking life than those life computed by the models from existing lab experiments.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations鈥揷itations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.