Matches in SemOpenAlex for { <https://semopenalex.org/work/W2524458633> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W2524458633 endingPage "314" @default.
- W2524458633 startingPage "297" @default.
- W2524458633 abstract "As the study of internal corrosion of pipeline need a large number of experiments as well as long time, so there is a need for new computational technique to expand the spectrum of the results and to save time. The present work represents a new non-destructive evaluation (NDE) technique for detecting the internal corrosion inside pipeline by evaluating the dielectric properties of steel pipe at room temperature by using electrical capacitance sensor (ECS), then predict the effect of pipeline environment temperature (<TEX>${theta}$</TEX>) on the corrosion rates by designing an efficient artificial neural network (ANN) architecture. ECS consists of number of electrodes mounted on the outer surface of pipeline, the sensor shape, electrode configuration, and the number of electrodes that comprise three key elements of two dimensional capacitance sensors are illustrated. The variation in the dielectric signatures was employed to design electrical capacitance sensor (ECS) with high sensitivity to detect such defects. The rules of 24-electrode sensor parameters such as capacitance, capacitance change, and change rate of capacitance are discussed by ANSYS and MATLAB, which are combined to simulate sensor characteristic. A feed-forward neural network (FFNN) structure are applied, trained and tested to predict the finite element (FE) results of corrosion rates under room temperature, and then used the trained FFNN to predict corrosion rates at different temperature using MATLAB neural network toolbox. The FE results are in excellent agreement with an FFNN results, thus validating the accuracy and reliability of the proposed technique and leads to better understanding of the corrosion mechanism under different pipeline environmental temperature." @default.
- W2524458633 created "2016-10-07" @default.
- W2524458633 creator A5038597770 @default.
- W2524458633 date "2016-09-25" @default.
- W2524458633 modified "2023-09-25" @default.
- W2524458633 title "FE and ANN model of ECS to simulate the pipelines suffer from internal corrosion" @default.
- W2524458633 cites W1975014213 @default.
- W2524458633 cites W2018163596 @default.
- W2524458633 cites W2018797696 @default.
- W2524458633 cites W2035652514 @default.
- W2524458633 cites W2043796241 @default.
- W2524458633 cites W2065384876 @default.
- W2524458633 cites W2068441307 @default.
- W2524458633 cites W2085143786 @default.
- W2524458633 cites W2733409897 @default.
- W2524458633 doi "https://doi.org/10.12989/smm.2016.3.3.297" @default.
- W2524458633 hasPublicationYear "2016" @default.
- W2524458633 type Work @default.
- W2524458633 sameAs 2524458633 @default.
- W2524458633 citedByCount "18" @default.
- W2524458633 countsByYear W25244586332017 @default.
- W2524458633 countsByYear W25244586332018 @default.
- W2524458633 countsByYear W25244586332019 @default.
- W2524458633 countsByYear W25244586332020 @default.
- W2524458633 countsByYear W25244586332021 @default.
- W2524458633 countsByYear W25244586332022 @default.
- W2524458633 countsByYear W25244586332023 @default.
- W2524458633 crossrefType "journal-article" @default.
- W2524458633 hasAuthorship W2524458633A5038597770 @default.
- W2524458633 hasConcept C111919701 @default.
- W2524458633 hasConcept C119599485 @default.
- W2524458633 hasConcept C121332964 @default.
- W2524458633 hasConcept C127413603 @default.
- W2524458633 hasConcept C154945302 @default.
- W2524458633 hasConcept C159985019 @default.
- W2524458633 hasConcept C17525397 @default.
- W2524458633 hasConcept C175309249 @default.
- W2524458633 hasConcept C192562407 @default.
- W2524458633 hasConcept C203455917 @default.
- W2524458633 hasConcept C20625102 @default.
- W2524458633 hasConcept C206755178 @default.
- W2524458633 hasConcept C21200559 @default.
- W2524458633 hasConcept C24326235 @default.
- W2524458633 hasConcept C24890656 @default.
- W2524458633 hasConcept C2780365114 @default.
- W2524458633 hasConcept C30066665 @default.
- W2524458633 hasConcept C41008148 @default.
- W2524458633 hasConcept C43521106 @default.
- W2524458633 hasConcept C50644808 @default.
- W2524458633 hasConcept C62520636 @default.
- W2524458633 hasConcept C78519656 @default.
- W2524458633 hasConceptScore W2524458633C111919701 @default.
- W2524458633 hasConceptScore W2524458633C119599485 @default.
- W2524458633 hasConceptScore W2524458633C121332964 @default.
- W2524458633 hasConceptScore W2524458633C127413603 @default.
- W2524458633 hasConceptScore W2524458633C154945302 @default.
- W2524458633 hasConceptScore W2524458633C159985019 @default.
- W2524458633 hasConceptScore W2524458633C17525397 @default.
- W2524458633 hasConceptScore W2524458633C175309249 @default.
- W2524458633 hasConceptScore W2524458633C192562407 @default.
- W2524458633 hasConceptScore W2524458633C203455917 @default.
- W2524458633 hasConceptScore W2524458633C20625102 @default.
- W2524458633 hasConceptScore W2524458633C206755178 @default.
- W2524458633 hasConceptScore W2524458633C21200559 @default.
- W2524458633 hasConceptScore W2524458633C24326235 @default.
- W2524458633 hasConceptScore W2524458633C24890656 @default.
- W2524458633 hasConceptScore W2524458633C2780365114 @default.
- W2524458633 hasConceptScore W2524458633C30066665 @default.
- W2524458633 hasConceptScore W2524458633C41008148 @default.
- W2524458633 hasConceptScore W2524458633C43521106 @default.
- W2524458633 hasConceptScore W2524458633C50644808 @default.
- W2524458633 hasConceptScore W2524458633C62520636 @default.
- W2524458633 hasConceptScore W2524458633C78519656 @default.
- W2524458633 hasIssue "3" @default.
- W2524458633 hasLocation W25244586331 @default.
- W2524458633 hasOpenAccess W2524458633 @default.
- W2524458633 hasPrimaryLocation W25244586331 @default.
- W2524458633 hasRelatedWork W1966596465 @default.
- W2524458633 hasRelatedWork W2139437549 @default.
- W2524458633 hasRelatedWork W2351857570 @default.
- W2524458633 hasRelatedWork W2382520238 @default.
- W2524458633 hasRelatedWork W2899084033 @default.
- W2524458633 hasRelatedWork W2951736019 @default.
- W2524458633 hasRelatedWork W3162807833 @default.
- W2524458633 hasRelatedWork W3199150647 @default.
- W2524458633 hasRelatedWork W3217791017 @default.
- W2524458633 hasRelatedWork W2248605943 @default.
- W2524458633 hasVolume "3" @default.
- W2524458633 isParatext "false" @default.
- W2524458633 isRetracted "false" @default.
- W2524458633 magId "2524458633" @default.
- W2524458633 workType "article" @default.