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Probabilistic machine-learning approach for asphalt binder formulation: case study on antioxidant dosage optimization

Year: 2026

Type: article

Source: International Journal of Pavement Engineering

DOI: 10.1080/10298436.2026.2720747

Authors: Tianhao Yan, Maryam S. Sakhaeifar, Hamzeh F. Haghshenas, Adrian Andriescu, David J. Mensching

Institutions: Federal Highway Administration, Turner-Fairbank Highway Research Center, Auburn University, National Academies of Sciences, Engineering, and Medicine, Transportation Research Board, Genex Systems (United States)

Language: English

Topic: Asphalt Pavement Performance Evaluation

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: National Academies of Sciences, Engineering, and Medicine

OpenAlex ID: W7204258372

FWCI:

Cites: 48

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