Matches in SemOpenAlex for { <https://semopenalex.org/work/W4200208043> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W4200208043 endingPage "125840" @default.
- W4200208043 startingPage "125840" @default.
- W4200208043 abstract "In this paper, we present micromechanics-integrated machine learning studies of concrete containing crushed clay brick as a coarse aggregate. Initially, the stress-strain responses of normal and crushed clay brick aggregates were quantitatively measured. Concrete specimens with various water/cement ratios and replacement rates of the aggregate were then fabricated and their stress-strain responses were evaluated. Concrete mixed with crushed clay brick aggregate showed lower compressive strength compared to concrete containing normal aggregate, and it was difficult to predict the material performance based on existing specifications and models. Based on results from an experimental assessment, micromechanics-integrated machine learning approaches that can effectively predict the properties of concrete mixed with crushed clay brick aggregates was developed. Several parametric studies and comparisons are carried out to verify the potential capacity of the proposed model framework." @default.
- W4200208043 created "2021-12-31" @default.
- W4200208043 creator A5007383150 @default.
- W4200208043 creator A5035956630 @default.
- W4200208043 creator A5071603701 @default.
- W4200208043 creator A5081801989 @default.
- W4200208043 creator A5020276263 @default.
- W4200208043 date "2022-01-01" @default.
- W4200208043 modified "2023-10-10" @default.
- W4200208043 title "Micromechanics-integrated machine learning approaches to predict the mechanical behaviors of concrete containing crushed clay brick aggregates" @default.
- W4200208043 cites W1920932373 @default.
- W4200208043 cites W1971967362 @default.
- W4200208043 cites W1987873047 @default.
- W4200208043 cites W1994548125 @default.
- W4200208043 cites W1997551135 @default.
- W4200208043 cites W2007656978 @default.
- W4200208043 cites W2010136721 @default.
- W4200208043 cites W2035910440 @default.
- W4200208043 cites W2039089678 @default.
- W4200208043 cites W2043497213 @default.
- W4200208043 cites W2045973491 @default.
- W4200208043 cites W2060078689 @default.
- W4200208043 cites W2074384713 @default.
- W4200208043 cites W2077705553 @default.
- W4200208043 cites W2099222488 @default.
- W4200208043 cites W2135142955 @default.
- W4200208043 cites W2156472205 @default.
- W4200208043 cites W2158778911 @default.
- W4200208043 cites W2463089998 @default.
- W4200208043 cites W2551121419 @default.
- W4200208043 cites W2563425883 @default.
- W4200208043 cites W2607870929 @default.
- W4200208043 cites W2795502213 @default.
- W4200208043 cites W2800470469 @default.
- W4200208043 cites W2801468706 @default.
- W4200208043 cites W2885530683 @default.
- W4200208043 cites W2890790760 @default.
- W4200208043 cites W2947927309 @default.
- W4200208043 cites W2948825857 @default.
- W4200208043 cites W2969588498 @default.
- W4200208043 cites W2969796620 @default.
- W4200208043 cites W2976155382 @default.
- W4200208043 cites W3046382437 @default.
- W4200208043 cites W3097141723 @default.
- W4200208043 cites W3119463636 @default.
- W4200208043 doi "https://doi.org/10.1016/j.conbuildmat.2021.125840" @default.
- W4200208043 hasPublicationYear "2022" @default.
- W4200208043 type Work @default.
- W4200208043 citedByCount "12" @default.
- W4200208043 countsByYear W42002080432022 @default.
- W4200208043 countsByYear W42002080432023 @default.
- W4200208043 crossrefType "journal-article" @default.
- W4200208043 hasAuthorship W4200208043A5007383150 @default.
- W4200208043 hasAuthorship W4200208043A5020276263 @default.
- W4200208043 hasAuthorship W4200208043A5035956630 @default.
- W4200208043 hasAuthorship W4200208043A5071603701 @default.
- W4200208043 hasAuthorship W4200208043A5081801989 @default.
- W4200208043 hasConcept C104779481 @default.
- W4200208043 hasConcept C127313418 @default.
- W4200208043 hasConcept C154226666 @default.
- W4200208043 hasConcept C159985019 @default.
- W4200208043 hasConcept C187320778 @default.
- W4200208043 hasConcept C192562407 @default.
- W4200208043 hasConcept C2778568124 @default.
- W4200208043 hasConcept C30407753 @default.
- W4200208043 hasConcept C37167619 @default.
- W4200208043 hasConcept C4679612 @default.
- W4200208043 hasConcept C523993062 @default.
- W4200208043 hasConceptScore W4200208043C104779481 @default.
- W4200208043 hasConceptScore W4200208043C127313418 @default.
- W4200208043 hasConceptScore W4200208043C154226666 @default.
- W4200208043 hasConceptScore W4200208043C159985019 @default.
- W4200208043 hasConceptScore W4200208043C187320778 @default.
- W4200208043 hasConceptScore W4200208043C192562407 @default.
- W4200208043 hasConceptScore W4200208043C2778568124 @default.
- W4200208043 hasConceptScore W4200208043C30407753 @default.
- W4200208043 hasConceptScore W4200208043C37167619 @default.
- W4200208043 hasConceptScore W4200208043C4679612 @default.
- W4200208043 hasConceptScore W4200208043C523993062 @default.
- W4200208043 hasLocation W42002080431 @default.
- W4200208043 hasOpenAccess W4200208043 @default.
- W4200208043 hasPrimaryLocation W42002080431 @default.
- W4200208043 hasRelatedWork W1010994786 @default.
- W4200208043 hasRelatedWork W2040983111 @default.
- W4200208043 hasRelatedWork W216328049 @default.
- W4200208043 hasRelatedWork W2209029789 @default.
- W4200208043 hasRelatedWork W2209486164 @default.
- W4200208043 hasRelatedWork W2994118983 @default.
- W4200208043 hasRelatedWork W3048281952 @default.
- W4200208043 hasRelatedWork W4380758676 @default.
- W4200208043 hasRelatedWork W4384831138 @default.
- W4200208043 hasRelatedWork W2186582676 @default.
- W4200208043 hasVolume "317" @default.
- W4200208043 isParatext "false" @default.
- W4200208043 isRetracted "false" @default.
- W4200208043 workType "article" @default.