Reliability-based mix design for concrete compressive strength using a physics-prior residual-learning surrogate with calibrated uncertainty.

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Bibliographic Details
Title: Reliability-based mix design for concrete compressive strength using a physics-prior residual-learning surrogate with calibrated uncertainty.
Authors: Qu P; School of Management Science and Engineering, Shandong Technology and Business University, Yantai, China., Song L; School of Management Science and Engineering, Shandong Technology and Business University, Yantai, China., Wang S; School of Management Science and Engineering, Shandong Technology and Business University, Yantai, China.
Source: PloS one [PLoS One] 2026 Jun 05; Vol. 21 (6), pp. e0350575. Date of Electronic Publication: 2026 Jun 05 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0350575