A parameter identification technique for traffic speed deflectometer tests of pavements

Zhaojie Sun*, Cor Kasbergen, Karel N. van Dalen, Kumar Anupam, Athanasios Skarpas, Sandra M.J.G. Erkens

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)
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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.

Original languageEnglish
Pages (from-to)1065-1087
Number of pages23
JournalRoad Materials and Pavement Design
Issue number4
Publication statusPublished - 2022


  • Minimisation algorithm
  • Moving load
  • Parameter identification technique
  • Pavement
  • Traffic Speed Deflectometer

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