4–6 Sept 2024
University of Salerno, Fisciano Campus - Buiding E1
Europe/Rome timezone

Conference Secretariat

Assessing Asphalt Pavement Pre-Compaction with Paver Screed Frequency Measurements

6 Sept 2024, 11:30
15m
Room O (University of Salerno, Fisciano Campus - Buiding E1)

Room O

University of Salerno, Fisciano Campus - Buiding E1

Description

The quality and longevity of an asphalt road hinge on the meticulous compaction of the asphalt pavement. Particular emphasis should be placed on the pre-compaction process involving the paver’s screed. Inadequate or excessive pre-compaction can result in paving errors and inhomogeneities within the pavement, which even expert roller operation cannot rectify. In practical paving, however, the degree of pre-compaction is rarely determined, so that one is dependent on the empirical knowledge and assessments of the paving personnel.
Within the context of the research initiative, InfraROB (Grant Agreement No.: 955337), an innovative system was devised to infer the extent of pre-compaction by leveraging the resonance frequency of the paver’s screed. This system comprises a rugged, enclosed acceleration sensor capable of capturing high-speed accelerations and a Wi-Fi-enabled control unit for data storage and processing.
To validate this system, a series of test pavements were constructed using an asphalt binder mix (AC 16 BS), deliberately varying the speed of the tamper compaction unit in four steps from 0 rpm up to 1500 rpm. Half of the test lanes were longitudinally compacted with rollers, allowing for the examination of the asphalt pavement in its partially pre-compacted state. To achieve this, drill cores were extracted, and their density was assessed in the laboratory. Through the application of Fast Fourier Transformation, the measured resonance frequency data was analyzed and subsequently correlated with the outcomes of the drill core inspections. This analysis revealed a strong logarithmic relationship between the average peak acceleration and the bulk densities measured, with a high coefficient of determination exceeding 0.9.
The presented method enables real-time assessment of the pre-compaction status of asphalt pavement, offering support to paving personnel, optimizing roller usage, and ultimately enhancing asphalt pavement quality.

Primary authors

Leandro Harries (TU Darmstadt, Germany) David Kempf (TU Darmstadt, Germany) Matthias Scheidig (TU Darmstadt, Germany) Maximilan Schütz (TU Darmstadt, Germany) Moritz Middendorf (TU Darmstadt, Germany) Kazim Uzar (TU Darmstadt, Germany) Xiaohui Su (TU Darmstadt, Germany) Stefan Böhm (TU Darmstadt, Germany) Jia Liu (TU Darmstadt, Germany)

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