@Article{fdmp.2023.025270,
AUTHOR = {Zhonghai Jiang, Qian Wang, Liangbing Zhou, Chun Xiao},
TITLE = {Thermal Properties Reconstruction and Temperature Fields in Asphalt Pavements: Inverse Problem and Optimisation Algorithms},
JOURNAL = {Fluid Dynamics \& Materials Processing},
VOLUME = {19},
YEAR = {2023},
NUMBER = {6},
PAGES = {1693--1708},
URL = {http://www.techscience.com/fdmp/v19n6/51370},
ISSN = {1555-2578},
ABSTRACT = {A two-layer implicit difference scheme is employed in the present study to determine the temperature distribution
in an asphalt pavement. The calculation of each layer only needs four iterations to achieve convergence. Furthermore, in order to improve the calculation accuracy a swarm intelligence optimization algorithm is also exploited
to inversely analyze the laws by which the thermal physical parameters of the asphalt pavement materials change
with temperature. Using the basic cuckoo and the gray wolf algorithms, an adaptive hybrid optimization algorithm is obtained and used to determine the relationship between the thermal diffusivity of two types of asphalt
pavement materials and the temperature. As shown by the results, the prediction accuracy achievable with this
approach is higher than that of the linear model.},
DOI = {10.32604/fdmp.2023.025270}
}