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Research on pore characteristics and macroscopic performance quantitative prediction of desert sand recycled aggregate concrete based on NMR and grey theory.

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Title: Research on pore characteristics and macroscopic performance quantitative prediction of desert sand recycled aggregate concrete based on NMR and grey theory.
Authors: Zheng X; College of Civil Engineering, Kashi University, Kashi, China.; Xinjiang Key Laboratory of Engineering Materials and Structural Safety, Kashi University, Kashi, China., Zhu W; College of Civil Engineering, Kashi University, Kashi, China.; Xinjiang Key Laboratory of Engineering Materials and Structural Safety, Kashi University, Kashi, China., Cao Y; College of Civil Engineering, Kashi University, Kashi, China.; Xinjiang Key Laboratory of Engineering Materials and Structural Safety, Kashi University, Kashi, China., Wang X; College of Civil Engineering, Kashi University, Kashi, China.; Xinjiang Key Laboratory of Engineering Materials and Structural Safety, Kashi University, Kashi, China., Hao E; College of Civil Engineering, Kashi University, Kashi, China.; Xinjiang Key Laboratory of Engineering Materials and Structural Safety, Kashi University, Kashi, China., Zhang D; College of Civil Engineering, Kashi University, Kashi, China.; Xinjiang Key Laboratory of Engineering Materials and Structural Safety, Kashi University, Kashi, China., Chu W; School of Architectural Engineering, Changji Vocational and Technical College, Changji, China., Tang B; College of Civil Engineering, Kashi University, Kashi, China.
Source: PloS one [PLoS One] 2026 Jun 03; Vol. 21 (6), pp. e0349560. Date of Electronic Publication: 2026 Jun 03 (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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  Data: Research on pore characteristics and macroscopic performance quantitative prediction of desert sand recycled aggregate concrete based on NMR and grey theory.
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  Data: <searchLink fieldCode="AU" term="%22Zheng+X%22">Zheng X</searchLink>; College of Civil Engineering, Kashi University, Kashi, China.; Xinjiang Key Laboratory of Engineering Materials and Structural Safety, Kashi University, Kashi, China.<br /><searchLink fieldCode="AU" term="%22Zhu+W%22">Zhu W</searchLink>; College of Civil Engineering, Kashi University, Kashi, China.; Xinjiang Key Laboratory of Engineering Materials and Structural Safety, Kashi University, Kashi, China.<br /><searchLink fieldCode="AU" term="%22Cao+Y%22">Cao Y</searchLink>; College of Civil Engineering, Kashi University, Kashi, China.; Xinjiang Key Laboratory of Engineering Materials and Structural Safety, Kashi University, Kashi, China.<br /><searchLink fieldCode="AU" term="%22Wang+X%22">Wang X</searchLink>; College of Civil Engineering, Kashi University, Kashi, China.; Xinjiang Key Laboratory of Engineering Materials and Structural Safety, Kashi University, Kashi, China.<br /><searchLink fieldCode="AU" term="%22Hao+E%22">Hao E</searchLink>; College of Civil Engineering, Kashi University, Kashi, China.; Xinjiang Key Laboratory of Engineering Materials and Structural Safety, Kashi University, Kashi, China.<br /><searchLink fieldCode="AU" term="%22Zhang+D%22">Zhang D</searchLink>; College of Civil Engineering, Kashi University, Kashi, China.; Xinjiang Key Laboratory of Engineering Materials and Structural Safety, Kashi University, Kashi, China.<br /><searchLink fieldCode="AU" term="%22Chu+W%22">Chu W</searchLink>; School of Architectural Engineering, Changji Vocational and Technical College, Changji, China.<br /><searchLink fieldCode="AU" term="%22Tang+B%22">Tang B</searchLink>; College of Civil Engineering, Kashi University, Kashi, China.
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  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2026 Jun 03; Vol. 21 (6), pp. e0349560. <i>Date of Electronic Publication: </i>2026 Jun 03 (<i>Print Publication: </i>2026).
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        Value: 10.1371/journal.pone.0349560
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              Text: 2026 Jun 03
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              Y: 2026
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