Stripping in HMA Mixtures: State-of-the-Art and Critical Review of Test Methods
Badru M Kiggundu, Freddy L. Roberts
Abstract
Badru M Kiggundu, Freddy L. Roberts
Abstract
This report presents review summaries of the state-of-the-art regarding stripping in hot mix asphalt (HMA) mixtures. The review stresses efforts concerned with methods development and evaluation, and presents a critical review of select methods including Lottman (NCHRP 246), Tunnicliff-Root (NCHRP 274), Immersion Compression, 10-Minute Boil Test, and the Nevada Dynamic Strip Method. The results of the critical review of methods indicated the following ranking order: Lottman Test, Tunnicliff-Root Test, 10-Minute Boil Test, Immersion Compression, and Nevada Dynamic Strip Test. The basis of the analysis was a proposed success/failure pattern which was developed using published data on stripping. Other products of this research include: proposed relationship between stripping theories and mechanisms, and an appended summary of findings from surveys of the users of the stripping tests.
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This report presents review summaries of the state-of-the-art regarding stripping in hot mix asphalt (HMA) mixtures. The review stresses efforts concerned with methods development and evaluation, and presents a critical review of select methods including Lottman (NCHRP 246), Tunnicliff-Root (NCHRP 274), Immersion Compression, 10-Minute Boil Test, and the Nevada Dynamic Strip Method. The results of the critical review of methods indicated the following ranking order: Lottman Test, Tunnicliff-Root Test, 10-Minute Boil Test, Immersion Compression, and Nevada Dynamic Strip Test. The basis of the analysis was a proposed success/failure pattern which was developed using published data on stripping. Other products of this research include: proposed relationship between stripping theories and mechanisms, and an appended summary of findings from surveys of the users of the stripping tests.
Key concepts: Stripping (fiber), Ranking (information retrieval), Asphalt, Test (biology), Forensic engineering, Engineering, Computer science, Materials science