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dc.contributor.authorWu, Xu
dc.contributor.authorLi, Qinfei
dc.contributor.authorWang, Lin
dc.contributor.authorLiu, Shuangrong
dc.contributor.authorChen, Heng
dc.contributor.authorHou, Pengkun
dc.contributor.authorYe, Jiayuan
dc.contributor.authorPei, Yan
dc.contributor.authorZhao, Xin
dc.contributor.authorXie, Yuhang
dc.contributor.authorZhang, Tengfei
dc.contributor.authorYang, Bo
dc.date.accessioned2026-08-20T11:33:07Z
dc.date.available2026-08-20T11:33:07Z
dc.date.copyright2025/11/20
dc.date.issued2026
dc.identifier.otherJMCEE7.MTENG-20664.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312363
dc.description.abstractAbstractThe compressive strength of portland cement-based material is closely linked with its microstructure. Scanning electron microscopy (SEM) with backscattered electrons (BSE) and x-ray microcomputed tomography (μCT) are capable of visualizing the ...
dc.publisherAmerican Society of Civil Engineers
dc.titleExploring the Correlation Between Microstructure and Compressive Strength in Portland Cement-Based Materials: A Deep Learning-Based Comparison of μCT and SEM-BSE Microstructure Images
dc.typeJournal Article
dc.journal.volume38
dc.journal.issue2
dc.journal.titleJournal of Materials in Civil Engineering
dc.identifier.doi10.1061/JMCEE7.MTENG-20664
dc.journal.fristpage04025547-1
dc.journal.lastpage04025547-11
dc.page11
dc.treeJournal of Materials in Civil Engineering:;2026:;Volume ( 038 ):;issue: 002
dc.contenttypeFulltext


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