Predicting the uniaxial compressive strength and elasticity modulus of sandstones from physical and mechanical properties using statistical analyses and artificial intelligence-based techniques.

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Bibliographic Details
Title: Predicting the uniaxial compressive strength and elasticity modulus of sandstones from physical and mechanical properties using statistical analyses and artificial intelligence-based techniques.
Authors: Fereidooni D; School of Earth Sciences, Damghan University, Damghan, Semnan, Iran., Hejazifar M; School of Earth Sciences, Damghan University, Damghan, Semnan, Iran.
Source: PloS one [PLoS One] 2026 May 15; Vol. 21 (5), pp. e0335703. Date of Electronic Publication: 2026 May 15 (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.0335703