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Optimized Pavement Engineering for the ISO 10844 Standard

Journal Article
2013-01-1962
ISSN: 1946-3995, e-ISSN: 1946-4002
Published May 13, 2013 by SAE International in United States
Optimized Pavement Engineering for the ISO 10844 Standard
Sector:
Citation: Rasmussen, R., "Optimized Pavement Engineering for the ISO 10844 Standard," SAE Int. J. Passeng. Cars - Mech. Syst. 6(2):1313-1324, 2013, https://doi.org/10.4271/2013-01-1962.
Language: English

Abstract:

Pavements complying with the ISO 10844 standard are an important component of vehicle and tire noise testing. In 2011, a new version of this standard was published, which includes many important changes compared to the 1994 version. As a result, some tracks that complied with the 1994 standard are now nonconforming with the 2011 version. Many tracks are in the process of being resurfaced, particularly before regulations are adopted that require conformance with the new version of the standard.
While repaving is costly, it can also lead to opportunity. Pavement engineering encompasses pavement design, materials selection and proportioning, and the selection of construction techniques. Pavement life is also an important engineering criterion. In the case of test tracks, life is most often defined by functional performance including changes in friction, rolling resistance, ride, and in this instance, noise.
Optimized pavement engineering often seeks a balance between initial cost and durability. For example, ISO 10844:2011 now permits polymer-modified asphalt binders. While more costly, higher quality binders can delay the onset of raveling, stripping, and other surface deterioration that affects functional performance including noise. Optimized pavement engineering can target a pavement lifespan, which is related to the evolution of the noise measurements over time.
A predictable response can also be sought. For example, the ISO 10844:2011 tests for pavement texture and acoustical absorption. These attributes are affected by paving materials and construction technique. Through optimization, specific measurement targets can be engineered for more predictable and consistent test outcomes.