FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2979664067> ?p ?o ?g. }

• W2979664067 endingPage "4263" @default.
• W2979664067 startingPage "4263" @default.
• W2979664067 abstract "This study explores the possibility of using an ANN-based model for the rapid numerical simulation and seismic performance prediction of reinforced concrete (RC) columns. The artificial neural network (ANN) method is implemented to model the relationship between the input features of RC columns and the critical parameters of the commonly used lumped plasticity (LP) model: The strength and the yielding, capping and ultimate deformation capacity. Cyclic test data of 1163 column specimens obtained from the PEER and NEEShub database and other sources are collected and divided into the training set, test set and validation set for the ANN model. The effectiveness of the proposed ANN model is validated by comparing it with existing explicit formulas and experimental results. Results indicated that the developed model can effectively predict the strength and deformation capacities of RC columns. Furthermore, the response of two RC frame structures under static force and strong ground motion were simulated by the ANN-based, bi-linear and tri-linear LP model method. The good agreement between the proposed model and test results validated that the ANN-based method can provide sufficiently accurate model parameters for modeling the seismic response of RC columns using the LP model." @default.
• W2979664067 created "2019-10-18" @default.
• W2979664067 creator A5042910096 @default.
• W2979664067 creator A5057107975 @default.
• W2979664067 date "2019-10-11" @default.
• W2979664067 modified "2023-10-14" @default.
• W2979664067 title "Development of an ANN-Based Lumped Plasticity Model of RC Columns Using Historical Pseudo-Static Cyclic Test Data" @default.
• W2979664067 cites W1586335931 @default.
• W2979664067 cites W1964516326 @default.
• W2979664067 cites W1966878142 @default.
• W2979664067 cites W1976414028 @default.
• W2979664067 cites W1994847133 @default.
• W2979664067 cites W2009802626 @default.
• W2979664067 cites W2016343825 @default.
• W2979664067 cites W2023893280 @default.
• W2979664067 cites W2025454816 @default.
• W2979664067 cites W2028943870 @default.
• W2979664067 cites W2032375313 @default.
• W2979664067 cites W2042975895 @default.
• W2979664067 cites W2046302510 @default.
• W2979664067 cites W2048952140 @default.
• W2979664067 cites W2054002826 @default.
• W2979664067 cites W2054367796 @default.
• W2979664067 cites W2055324295 @default.
• W2979664067 cites W2060184359 @default.
• W2979664067 cites W2075591644 @default.
• W2979664067 cites W2085232288 @default.
• W2979664067 cites W2090330885 @default.
• W2979664067 cites W2097481673 @default.
• W2979664067 cites W2109544808 @default.
• W2979664067 cites W2141806675 @default.
• W2979664067 cites W2142362773 @default.
• W2979664067 cites W2153795953 @default.
• W2979664067 cites W2164668640 @default.
• W2979664067 cites W2169119954 @default.
• W2979664067 cites W2170139224 @default.
• W2979664067 cites W2252905807 @default.
• W2979664067 cites W2278382461 @default.
• W2979664067 cites W2557013861 @default.
• W2979664067 cites W2597311793 @default.
• W2979664067 cites W2747493223 @default.
• W2979664067 cites W2767064953 @default.
• W2979664067 cites W2780199978 @default.
• W2979664067 cites W2790755546 @default.
• W2979664067 cites W2800527789 @default.
• W2979664067 cites W2970808514 @default.
• W2979664067 cites W3037058914 @default.
• W2979664067 cites W334172169 @default.
• W2979664067 cites W4232873188 @default.
• W2979664067 doi "https://doi.org/10.3390/app9204263" @default.
• W2979664067 hasPublicationYear "2019" @default.
• W2979664067 type Work @default.
• W2979664067 sameAs 2979664067 @default.
• W2979664067 citedByCount "8" @default.
• W2979664067 countsByYear W29796640672019 @default.
• W2979664067 countsByYear W29796640672020 @default.
• W2979664067 countsByYear W29796640672021 @default.
• W2979664067 countsByYear W29796640672022 @default.
• W2979664067 countsByYear W29796640672023 @default.
• W2979664067 crossrefType "journal-article" @default.
• W2979664067 hasAuthorship W2979664067A5042910096 @default.
• W2979664067 hasAuthorship W2979664067A5057107975 @default.
• W2979664067 hasBestOaLocation W29796640671 @default.
• W2979664067 hasConcept C126042441 @default.
• W2979664067 hasConcept C127413603 @default.
• W2979664067 hasConcept C154945302 @default.
• W2979664067 hasConcept C159985019 @default.
• W2979664067 hasConcept C16910744 @default.
• W2979664067 hasConcept C177264268 @default.
• W2979664067 hasConcept C192562407 @default.
• W2979664067 hasConcept C199360897 @default.
• W2979664067 hasConcept C204366326 @default.
• W2979664067 hasConcept C2780551164 @default.
• W2979664067 hasConcept C41008148 @default.
• W2979664067 hasConcept C50644808 @default.
• W2979664067 hasConcept C66938386 @default.
• W2979664067 hasConcept C76155785 @default.
• W2979664067 hasConceptScore W2979664067C126042441 @default.
• W2979664067 hasConceptScore W2979664067C127413603 @default.
• W2979664067 hasConceptScore W2979664067C154945302 @default.
• W2979664067 hasConceptScore W2979664067C159985019 @default.
• W2979664067 hasConceptScore W2979664067C16910744 @default.
• W2979664067 hasConceptScore W2979664067C177264268 @default.
• W2979664067 hasConceptScore W2979664067C192562407 @default.
• W2979664067 hasConceptScore W2979664067C199360897 @default.
• W2979664067 hasConceptScore W2979664067C204366326 @default.
• W2979664067 hasConceptScore W2979664067C2780551164 @default.
• W2979664067 hasConceptScore W2979664067C41008148 @default.
• W2979664067 hasConceptScore W2979664067C50644808 @default.
• W2979664067 hasConceptScore W2979664067C66938386 @default.
• W2979664067 hasConceptScore W2979664067C76155785 @default.
• W2979664067 hasIssue "20" @default.
• W2979664067 hasLocation W29796640671 @default.
• W2979664067 hasOpenAccess W2979664067 @default.
• W2979664067 hasPrimaryLocation W29796640671 @default.
• W2979664067 hasRelatedWork W2018618779 @default.
• W2979664067 hasRelatedWork W2146487962 @default.
• W2979664067 hasRelatedWork W2348896575 @default.

• next