Matches in SemOpenAlex for { <https://semopenalex.org/work/W2895384270> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W2895384270 endingPage "309" @default.
- W2895384270 startingPage "292" @default.
- W2895384270 abstract "We show that computer-vision-based inspection can relate surface observations to quantitative damage and load level estimates in common reinforced concrete beams and slabs subjected to monotonic loading. This work is related to an earlier study focused on shear-critical beams and slabs (i.e., specimens lacking shear reinforcement), but here an expanded image database has been assembled to include specimens with both flexural and shear reinforcement such as would be found in practice. Using this expanded data set, a supervised machine learning algorithm builds cross-validated predictive models capable of estimating internal loads (i.e., shear and moment) and damage levels based on surface crack pattern images. The expanded data set contains a total of 127 specimens and 862 images captured in past studies across a range of load and damage levels. Textural and geometric attributes of surface crack patterns were used for feature engineering and tuning of predictive models. The expanded data set enables comparison of the estimation accuracy for shear-critical and shear-reinforced beams and slabs considered separately and in combined form. This includes the capability to categorize whether shear reinforcement is present or not. Estimation models based on surface observations for shear-reinforced elements are found to be comparable to those for shear-critical beams and slabs, with variability observed due to loading type range, member geometries, whether categorization is combined with regression, and the image feature sets used." @default.
- W2895384270 created "2018-10-12" @default.
- W2895384270 creator A5003008169 @default.
- W2895384270 creator A5007304484 @default.
- W2895384270 creator A5083450863 @default.
- W2895384270 date "2018-12-01" @default.
- W2895384270 modified "2023-10-10" @default.
- W2895384270 title "Data-driven vision-based inspection for reinforced concrete beams and slabs: Quantitative damage and load estimation" @default.
- W2895384270 cites W1657268660 @default.
- W2895384270 cites W1925015566 @default.
- W2895384270 cites W2000779269 @default.
- W2895384270 cites W2037460094 @default.
- W2895384270 cites W2051238191 @default.
- W2895384270 cites W2091149439 @default.
- W2895384270 cites W2096968048 @default.
- W2895384270 cites W2106393550 @default.
- W2895384270 cites W2133990480 @default.
- W2895384270 cites W2138544664 @default.
- W2895384270 cites W2145023731 @default.
- W2895384270 cites W2146081683 @default.
- W2895384270 cites W2154702051 @default.
- W2895384270 cites W2318769576 @default.
- W2895384270 cites W2799581210 @default.
- W2895384270 cites W2911964244 @default.
- W2895384270 cites W4236137412 @default.
- W2895384270 doi "https://doi.org/10.1016/j.autcon.2018.09.024" @default.
- W2895384270 hasPublicationYear "2018" @default.
- W2895384270 type Work @default.
- W2895384270 sameAs 2895384270 @default.
- W2895384270 citedByCount "34" @default.
- W2895384270 countsByYear W28953842702019 @default.
- W2895384270 countsByYear W28953842702020 @default.
- W2895384270 countsByYear W28953842702021 @default.
- W2895384270 countsByYear W28953842702022 @default.
- W2895384270 countsByYear W28953842702023 @default.
- W2895384270 crossrefType "journal-article" @default.
- W2895384270 hasAuthorship W2895384270A5003008169 @default.
- W2895384270 hasAuthorship W2895384270A5007304484 @default.
- W2895384270 hasAuthorship W2895384270A5083450863 @default.
- W2895384270 hasConcept C127413603 @default.
- W2895384270 hasConcept C154945302 @default.
- W2895384270 hasConcept C159985019 @default.
- W2895384270 hasConcept C192562407 @default.
- W2895384270 hasConcept C204323151 @default.
- W2895384270 hasConcept C2988805333 @default.
- W2895384270 hasConcept C41008148 @default.
- W2895384270 hasConcept C66938386 @default.
- W2895384270 hasConcept C67203356 @default.
- W2895384270 hasConcept C94124525 @default.
- W2895384270 hasConcept C96035792 @default.
- W2895384270 hasConceptScore W2895384270C127413603 @default.
- W2895384270 hasConceptScore W2895384270C154945302 @default.
- W2895384270 hasConceptScore W2895384270C159985019 @default.
- W2895384270 hasConceptScore W2895384270C192562407 @default.
- W2895384270 hasConceptScore W2895384270C204323151 @default.
- W2895384270 hasConceptScore W2895384270C2988805333 @default.
- W2895384270 hasConceptScore W2895384270C41008148 @default.
- W2895384270 hasConceptScore W2895384270C66938386 @default.
- W2895384270 hasConceptScore W2895384270C67203356 @default.
- W2895384270 hasConceptScore W2895384270C94124525 @default.
- W2895384270 hasConceptScore W2895384270C96035792 @default.
- W2895384270 hasLocation W28953842701 @default.
- W2895384270 hasOpenAccess W2895384270 @default.
- W2895384270 hasPrimaryLocation W28953842701 @default.
- W2895384270 hasRelatedWork W1969219540 @default.
- W2895384270 hasRelatedWork W1987484445 @default.
- W2895384270 hasRelatedWork W2143413548 @default.
- W2895384270 hasRelatedWork W2165912799 @default.
- W2895384270 hasRelatedWork W2370459448 @default.
- W2895384270 hasRelatedWork W2382615723 @default.
- W2895384270 hasRelatedWork W2623658258 @default.
- W2895384270 hasRelatedWork W2735662278 @default.
- W2895384270 hasRelatedWork W283214387 @default.
- W2895384270 hasRelatedWork W4311804456 @default.
- W2895384270 hasVolume "96" @default.
- W2895384270 isParatext "false" @default.
- W2895384270 isRetracted "false" @default.
- W2895384270 magId "2895384270" @default.
- W2895384270 workType "article" @default.