A Source-Aware and Physically Interpretable Data-Driven Framework for Predicting Semi-Circular Bending (SCB) Fracture Energy of Fiber-Reinforced Asphalt Mixtures.

Wu Zeng, Zhiyou Ge, Lingyan Shan, Huanwang Liao, Qing Xiao, Xunqian Xu

Abstract read

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Article in Materials (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Wu ZengJiangxi Communications Investment Group Co., Ltd., Nanchang 330108, China.

Zhiyou GeInstitute of Artificial Intelligence, Nantong University, No. 9 Seyuan Road, Nantong 226019, China.

Lingyan ShanResearch Institute of Highway, Ministry of Transport, Beijing 100088, China.

Huanwang LiaoJiangxi Communications Investment Group Co., Ltd., Nanchang 330108, China.

Qing XiaoInstitute of Artificial Intelligence, Nantong University, No. 9 Seyuan Road, Nantong 226019, China.

Xunqian XuInstitute of Artificial Intelligence, Nantong University, No. 9 Seyuan Road, Nantong 226019, China.

Funding

Jiangxi Provincial Department of Science and Technology 2025ZG004

6 · The paper itself

Abstract

Fiber-reinforced asphalt mixtures improve cracking resistance through fiber bridging, pull-out, and crack-path deflection, but their semi-circular bending (SCB) fracture energy is affected by coupled mixture, testing, and fiber-related variables. This study developed a source-aware and physically interpretable data-driven framework for predicting SCB fracture energy using a literature-derived database containing 261 valid sample-level records from nine source groups. The database was constructed through semantic extraction, unit normalization, rule-based checking, manual verification, and source identifier (SourceID) tracking. Optimum asphalt content, air voids, test temperature, loading rate, fiber dosage, fiber length, diameter, elastic modulus, and tensile strength were used as input variables. Under sample-wise testing, the selected model achieved a coefficient of determination (R

Indexed as

fiber-reinforced asphalt mixturefracture energyfracture mechanicsmixture designsemi-circular bending (SCB) testSHapley Additive exPlanations (SHAP) analysissource-aware validation

Identifiers

PMID42195811

DOI10.3390/ma19102172

PMCPMC13208534

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LicenceCC BY

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