FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4289133619> ?p ?o ?g. }

• W4289133619 abstract "Fibre-Reinforced Concrete (FRC) has significant benefits due to its ability to improve the tensile and flexural strengths of hardened concrete. This study aimed to investigate the use of Artificial Neural Network (ANN) to predict and optimize coconut husk fibers and recycled tyre steel fibers reinforced concrete in terms of compressive and flexural strengths, density, and water absorption. A laboratory experiment of eighteen (18) different mix proportions was carried out with the volumetric fraction of the fibers varied between 0% and 2%. A quick propagation neural network that uses a supervised learning algorithm and feed-forward architecture was used for training and testing experimental data. The comparison of measurements between the experimental and ANN led to an accurate determination of compressive and flexural strengths as well as density and water absorption. The performance of the ANN was statistically measured using Root Mean Squared Error (RMSE), Mean Percentage Error (MPE), and Absolute Average Error (AAE) showing that the results are reliable. The performance of the ANN model was further evaluated using the absolute relative percent errors (PE). The values of PE obtained were 3.82032 and 12.4481, 3.63029, and 9.27939 for density, water absorption, compressive strength, and flexural strength respectively. An optimum combination of 500 kg/m3 for cement content, 25 mm for granite size, 0.92% for steel fibers, and 1.08% for coconut fibers was achieved by the Genetic Algorithm tool of ANN. The optimal value predicted for the outputs was also validated with experimental work and was found to be adequate. This strongly suggests that ANN can understand the existing relationship between the input variables and the output and is therefore recommended for the prediction and evaluation of fiber-reinforced concrete containing steel and coconut fibers." @default.
• W4289133619 created "2022-08-01" @default.
• W4289133619 creator A5000738093 @default.
• W4289133619 creator A5003280059 @default.
• W4289133619 creator A5016260116 @default.
• W4289133619 creator A5017667192 @default.
• W4289133619 creator A5024199042 @default.
• W4289133619 creator A5064971043 @default.
• W4289133619 date "2022-07-31" @default.
• W4289133619 modified "2023-10-18" @default.
• W4289133619 title "Performance evaluation of discontinuous coconut and steel fibers as reinforcement in concrete using the artificial neural network approach" @default.
• W4289133619 cites W1966671404 @default.
• W4289133619 cites W196799808 @default.
• W4289133619 cites W1983896602 @default.
• W4289133619 cites W1990157560 @default.
• W4289133619 cites W2032851381 @default.
• W4289133619 cites W2034173362 @default.
• W4289133619 cites W2043853981 @default.
• W4289133619 cites W2078376347 @default.
• W4289133619 cites W2172942575 @default.
• W4289133619 cites W2209085265 @default.
• W4289133619 cites W2901662035 @default.
• W4289133619 cites W2907920374 @default.
• W4289133619 cites W2921730658 @default.
• W4289133619 cites W2931364572 @default.
• W4289133619 cites W3007001206 @default.
• W4289133619 cites W3007173994 @default.
• W4289133619 cites W3117157761 @default.
• W4289133619 cites W3143740751 @default.
• W4289133619 cites W3193595475 @default.
• W4289133619 doi "https://doi.org/10.1080/23311916.2022.2105035" @default.
• W4289133619 hasPublicationYear "2022" @default.
• W4289133619 type Work @default.
• W4289133619 citedByCount "1" @default.
• W4289133619 countsByYear W42891336192023 @default.
• W4289133619 crossrefType "journal-article" @default.
• W4289133619 hasAuthorship W4289133619A5000738093 @default.
• W4289133619 hasAuthorship W4289133619A5003280059 @default.
• W4289133619 hasAuthorship W4289133619A5016260116 @default.
• W4289133619 hasAuthorship W4289133619A5017667192 @default.
• W4289133619 hasAuthorship W4289133619A5024199042 @default.
• W4289133619 hasAuthorship W4289133619A5064971043 @default.
• W4289133619 hasBestOaLocation W42891336191 @default.
• W4289133619 hasConcept C105795698 @default.
• W4289133619 hasConcept C112950240 @default.
• W4289133619 hasConcept C11413529 @default.
• W4289133619 hasConcept C119857082 @default.
• W4289133619 hasConcept C122383733 @default.
• W4289133619 hasConcept C127413603 @default.
• W4289133619 hasConcept C139945424 @default.
• W4289133619 hasConcept C150217764 @default.
• W4289133619 hasConcept C155032097 @default.
• W4289133619 hasConcept C159985019 @default.
• W4289133619 hasConcept C168314062 @default.
• W4289133619 hasConcept C178405089 @default.
• W4289133619 hasConcept C192562407 @default.
• W4289133619 hasConcept C30407753 @default.
• W4289133619 hasConcept C33923547 @default.
• W4289133619 hasConcept C41008148 @default.
• W4289133619 hasConcept C50644808 @default.
• W4289133619 hasConcept C519885992 @default.
• W4289133619 hasConcept C523993062 @default.
• W4289133619 hasConcept C59822182 @default.
• W4289133619 hasConcept C66938386 @default.
• W4289133619 hasConcept C75296557 @default.
• W4289133619 hasConcept C86803240 @default.
• W4289133619 hasConceptScore W4289133619C105795698 @default.
• W4289133619 hasConceptScore W4289133619C112950240 @default.
• W4289133619 hasConceptScore W4289133619C11413529 @default.
• W4289133619 hasConceptScore W4289133619C119857082 @default.
• W4289133619 hasConceptScore W4289133619C122383733 @default.
• W4289133619 hasConceptScore W4289133619C127413603 @default.
• W4289133619 hasConceptScore W4289133619C139945424 @default.
• W4289133619 hasConceptScore W4289133619C150217764 @default.
• W4289133619 hasConceptScore W4289133619C155032097 @default.
• W4289133619 hasConceptScore W4289133619C159985019 @default.
• W4289133619 hasConceptScore W4289133619C168314062 @default.
• W4289133619 hasConceptScore W4289133619C178405089 @default.
• W4289133619 hasConceptScore W4289133619C192562407 @default.
• W4289133619 hasConceptScore W4289133619C30407753 @default.
• W4289133619 hasConceptScore W4289133619C33923547 @default.
• W4289133619 hasConceptScore W4289133619C41008148 @default.
• W4289133619 hasConceptScore W4289133619C50644808 @default.
• W4289133619 hasConceptScore W4289133619C519885992 @default.
• W4289133619 hasConceptScore W4289133619C523993062 @default.
• W4289133619 hasConceptScore W4289133619C59822182 @default.
• W4289133619 hasConceptScore W4289133619C66938386 @default.
• W4289133619 hasConceptScore W4289133619C75296557 @default.
• W4289133619 hasConceptScore W4289133619C86803240 @default.
• W4289133619 hasIssue "1" @default.
• W4289133619 hasLocation W42891336191 @default.
• W4289133619 hasOpenAccess W4289133619 @default.
• W4289133619 hasPrimaryLocation W42891336191 @default.
• W4289133619 hasRelatedWork W2063565752 @default.
• W4289133619 hasRelatedWork W2186647004 @default.
• W4289133619 hasRelatedWork W2767026677 @default.
• W4289133619 hasRelatedWork W2944045227 @default.
• W4289133619 hasRelatedWork W3034547220 @default.
• W4289133619 hasRelatedWork W3138243672 @default.
• W4289133619 hasRelatedWork W3139400658 @default.

• next