Impact resonance test protocol for bituminous mixture property evaluation

Abstract

This study aims to assess the quality control of bituminous mixtures by investigating the complex modulus and phase angle using the impact resonance test (IRT). Ensuring the accuracy of the recorded signal is crucial for reliably calculating the complex modulus and phase angle from IRT data. Additionally, selecting the most appropriate specimen geometry is key to obtaining accurate mixture properties. To establish the recommended test conditions, the study employed experimental methods, which involved testing shear gyratory compacted (SGC) specimens in the longitudinal mode to analyze force quality and amplitude. The investigation recommended a sawn surface condition to avoid damp impacts. A force greater than 60 N is also recommended to achieve the desired amplitude and avoid damp impacts. Additionally, using a glue-based mounting system improves adhesion and enhances signal accuracy. To recommend suitable specimen geometry and test configurations for laboratory use, the study used a combination of numerical methods and experimental validation methods. Numerical simulations were conducted to identify ideal specimen geometries and configurations, and these findings were subsequently validated through laboratory testing on fabricated samples. The investigation concluded that disc-shaped specimens are the most recommended for IRT in laboratory settings, as this geometry allows for well-separated flexural and longitudinal resonance frequencies, resulting in more accurate measurements. The study investigated the impact of air void content on mixture properties, including resonance frequency, complex modulus, and phase angle. The results revealed that as air void content increased, both resonance frequency and complex modulus declined, whereas no definite trend was observed for the phase angle.

Date	27 May 2025
Original language	American English
Awarding Institution	École de technologie supérieure
Supervisor	Jean-Claude Carret (Supervisor) & Lucas Babadopulos (Co-supervisor)