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Yin, Pingbao, Wang, Junjie, He, Wei, Wang, Shuqin, Li, Xin, Jia, Zhuo (2024) Machine learning-based study on the mechanical properties and embankment settlement prediction model of nickel–iron slag modified soil. Construction and Building Materials, 431. 136468 doi:10.1016/j.conbuildmat.2024.136468

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Reference TypeJournal (article/letter/editorial)
TitleMachine learning-based study on the mechanical properties and embankment settlement prediction model of nickel–iron slag modified soil
JournalConstruction and Building Materials
AuthorsYin, PingbaoAuthor
Wang, JunjieAuthor
He, WeiAuthor
Wang, ShuqinAuthor
Li, XinAuthor
Jia, ZhuoAuthor
Year2024 (June)Volume431
PublisherElsevier BV
DOIdoi:10.1016/j.conbuildmat.2024.136468Search in ResearchGate
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Mindat Ref. ID17407265Long-form Identifiermindat:1:5:17407265:4
GUID0
Full ReferenceYin, Pingbao, Wang, Junjie, He, Wei, Wang, Shuqin, Li, Xin, Jia, Zhuo (2024) Machine learning-based study on the mechanical properties and embankment settlement prediction model of nickel–iron slag modified soil. Construction and Building Materials, 431. 136468 doi:10.1016/j.conbuildmat.2024.136468
Plain TextYin, Pingbao, Wang, Junjie, He, Wei, Wang, Shuqin, Li, Xin, Jia, Zhuo (2024) Machine learning-based study on the mechanical properties and embankment settlement prediction model of nickel–iron slag modified soil. Construction and Building Materials, 431. 136468 doi:10.1016/j.conbuildmat.2024.136468
In(2024) Construction and Building Materials Vol. 431. Elsevier BV

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