A parameter identification technique for traffic speed deflectometer tests of pavements

Journal Article (2022)
Author(s)

Zhaojie Sun (TU Delft - Pavement Engineering)

C. Kasbergen (TU Delft - Pavement Engineering)

Karel van Dalen (TU Delft - Dynamics of Structures)

K Anupam (TU Delft - Pavement Engineering)

Athanasios Skarpas (TU Delft - Pavement Engineering, Khalifa University)

Sandra M. J. G. Erkens (TU Delft - Pavement Engineering)

Research Group
Pavement Engineering
Copyright
© 2022 Z. Sun, C. Kasbergen, K.N. van Dalen, K. Anupam, Athanasios Scarpas, S. Erkens
DOI related publication
https://doi.org/10.1080/14680629.2022.2060125
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Z. Sun, C. Kasbergen, K.N. van Dalen, K. Anupam, Athanasios Scarpas, S. Erkens
Research Group
Pavement Engineering
Issue number
4
Volume number
24
Pages (from-to)
1065-1087
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Abstract

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.