Inference of Pavement Properties with Roadside Accelerometers

Julius Nielsen, Eyal Levenberg*, Asmus Skar

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Abstract

An array of four synchronized single-axis accelerometers was fixed to the surface of an asphalt pavement. Vertical acceleration traces triggered by several nearby passes of a truck with known characteristics were recorded. The work focused on presenting and demonstrating an interpretation method for inferring the mechanical properties of the pavement system based on the recorded accelerations. In general terms, the method was based on careful low-pass filtering the field-measured acceleration traces, and then best-matching them with a corresponding set of calculated acceleration traces. For this purpose, the pavement system was modeled as a two-layered linear elastic half-space, and a model-guided signal filtering approach was devised to ensure that irrelevant signal content is removed prior to the matching. Based on the analysis of six separate truck passes it was noticed that the inferred upper layer modulus exhibited medium variability (coefficient of variation of 45%) while the lower (subgrade) modulus showed little variability (coefficient of variation of 8%). The moduli values displayed fair agreement with those independently estimated from non-destructive and semi-destructive tests. By analyzing many more passes inferred moduli are expected to become more representative. Overall, the method seems workable and scalable, with capacity to handle any number of acceleration sensors as well as other sensor types.
Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on Maintenance and Rehabilitation of Pavements
Volume76
PublisherSpringer
Publication date2020
Pages719-728
DOIs
Publication statusPublished - 2020
Event9th International Conference on Maintenance and Rehabilitation of Pavements - Online
Duration: 1 Jul 20203 Jul 2020
Conference number: 9

Conference

Conference9th International Conference on Maintenance and Rehabilitation of Pavements
Number9
LocationOnline
Period01/07/202003/07/2020
SeriesLecture Notes in Civil Engineering
Volume76
ISSN2366-2557

Keywords

  • Pavement condition evaluation
  • Pavement sensing
  • Pavement accelerations
  • Mechanical pavement properties
  • Model-guided filtering

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