TY - JOUR
T1 - A parameter identification technique for traffic speed deflectometer tests of pavements
AU - Sun, Zhaojie
AU - Kasbergen, Cor
AU - van Dalen, Karel N.
AU - Anupam, Kumar
AU - Skarpas, Athanasios
AU - Erkens, Sandra M.J.G.
PY - 2022
Y1 - 2022
N2 - The structural evaluation of existing pavements forms the basis for formulating cost-effective maintenance and rehabilitation strategies. A promising tool for pavement structural evaluation at network level is the Traffic Speed Deflectometer (TSD) test. However, the application of the TSD test is hindered by the lack of a robust and efficient parameter identification technique. To solve this problem, a theoretical model for the TSD test is first formulated. Then, a minimisation algorithm which works best with the theoretical TSD model for parameter identification is selected. Finally, the performance of this combination in processing field TSD measurements is studied. The results show that the modified Levenberg-Marquardt algorithm using all the 9 detection points is most suitable to be combined with the theoretical TSD model for parameter identification, which gives a promising parameter identification technique for TSD tests of pavements. The presented work contributes to the development of technologies for pavement structural evaluation.
AB - The structural evaluation of existing pavements forms the basis for formulating cost-effective maintenance and rehabilitation strategies. A promising tool for pavement structural evaluation at network level is the Traffic Speed Deflectometer (TSD) test. However, the application of the TSD test is hindered by the lack of a robust and efficient parameter identification technique. To solve this problem, a theoretical model for the TSD test is first formulated. Then, a minimisation algorithm which works best with the theoretical TSD model for parameter identification is selected. Finally, the performance of this combination in processing field TSD measurements is studied. The results show that the modified Levenberg-Marquardt algorithm using all the 9 detection points is most suitable to be combined with the theoretical TSD model for parameter identification, which gives a promising parameter identification technique for TSD tests of pavements. The presented work contributes to the development of technologies for pavement structural evaluation.
KW - Minimisation algorithm
KW - Moving load
KW - Parameter identification technique
KW - Pavement
KW - Traffic Speed Deflectometer
UR - http://www.scopus.com/inward/record.url?scp=85129349936&partnerID=8YFLogxK
U2 - 10.1080/14680629.2022.2060125
DO - 10.1080/14680629.2022.2060125
M3 - Article
AN - SCOPUS:85129349936
VL - 24
SP - 1065
EP - 1087
JO - Road Materials and Pavement Design
JF - Road Materials and Pavement Design
SN - 1468-0629
IS - 4
ER -