Matches in SemOpenAlex for { <https://semopenalex.org/work/W637646887> ?p ?o ?g. }
Showing items 1 to 73 of
73
with 100 items per page.
- W637646887 abstract "The present paper aims to incorporate an artificial neural network (ANN) as an innovative technique for modeling the pavement structural condition in pavement management systems (PMS). The initial task is to set criteria for strains assessment in order to characterize the structural condition of flexible pavements in regards to fatigue failure. This is followed by the second task to develop an ANN model for the prediction of strains not by using synthetic databases but based on field data. For this purpose falling weight deflectometer (FWD) measurements were conducted on a highways network where required pavement thickness data was evaluated mainly based on ground penetrating radar technique. The FWD data (i.e. deflections) were back-analyzed to assess strains that were used as output data in the process of developing the ANN model. A paper exercise demonstrated how the developed ANN model in conjunction with the suggested conceptual approach to assess strains for characterizing pavement structural condition could make provisions for pavement management activities, categorizing network pavement sections according to the need for maintenance or rehabilitation. It is evidence that the ANN technique could assist decision makers in finding optimum strategies for planning maintenance of pavement infrastructure." @default.
- W637646887 created "2016-06-24" @default.
- W637646887 creator A5023629166 @default.
- W637646887 creator A5036360280 @default.
- W637646887 creator A5043589689 @default.
- W637646887 date "2012-01-01" @default.
- W637646887 modified "2023-09-26" @default.
- W637646887 title "Artificial Neural Network Technique for Modeling Pavement Structural Condition" @default.
- W637646887 hasPublicationYear "2012" @default.
- W637646887 type Work @default.
- W637646887 sameAs 637646887 @default.
- W637646887 citedByCount "0" @default.
- W637646887 crossrefType "journal-article" @default.
- W637646887 hasAuthorship W637646887A5023629166 @default.
- W637646887 hasAuthorship W637646887A5036360280 @default.
- W637646887 hasAuthorship W637646887A5043589689 @default.
- W637646887 hasConcept C127413603 @default.
- W637646887 hasConcept C147176958 @default.
- W637646887 hasConcept C154945302 @default.
- W637646887 hasConcept C168056786 @default.
- W637646887 hasConcept C182377489 @default.
- W637646887 hasConcept C205649164 @default.
- W637646887 hasConcept C2780656047 @default.
- W637646887 hasConcept C2780996376 @default.
- W637646887 hasConcept C40084718 @default.
- W637646887 hasConcept C41008148 @default.
- W637646887 hasConcept C50644808 @default.
- W637646887 hasConcept C554190296 @default.
- W637646887 hasConcept C58640448 @default.
- W637646887 hasConcept C71813955 @default.
- W637646887 hasConcept C76155785 @default.
- W637646887 hasConceptScore W637646887C127413603 @default.
- W637646887 hasConceptScore W637646887C147176958 @default.
- W637646887 hasConceptScore W637646887C154945302 @default.
- W637646887 hasConceptScore W637646887C168056786 @default.
- W637646887 hasConceptScore W637646887C182377489 @default.
- W637646887 hasConceptScore W637646887C205649164 @default.
- W637646887 hasConceptScore W637646887C2780656047 @default.
- W637646887 hasConceptScore W637646887C2780996376 @default.
- W637646887 hasConceptScore W637646887C40084718 @default.
- W637646887 hasConceptScore W637646887C41008148 @default.
- W637646887 hasConceptScore W637646887C50644808 @default.
- W637646887 hasConceptScore W637646887C554190296 @default.
- W637646887 hasConceptScore W637646887C58640448 @default.
- W637646887 hasConceptScore W637646887C71813955 @default.
- W637646887 hasConceptScore W637646887C76155785 @default.
- W637646887 hasLocation W6376468871 @default.
- W637646887 hasOpenAccess W637646887 @default.
- W637646887 hasPrimaryLocation W6376468871 @default.
- W637646887 hasRelatedWork W1551184631 @default.
- W637646887 hasRelatedWork W1555086881 @default.
- W637646887 hasRelatedWork W194811026 @default.
- W637646887 hasRelatedWork W1965674556 @default.
- W637646887 hasRelatedWork W2031713099 @default.
- W637646887 hasRelatedWork W2282111263 @default.
- W637646887 hasRelatedWork W2368374671 @default.
- W637646887 hasRelatedWork W2392728912 @default.
- W637646887 hasRelatedWork W2503843798 @default.
- W637646887 hasRelatedWork W272151601 @default.
- W637646887 hasRelatedWork W2759321810 @default.
- W637646887 hasRelatedWork W2923622812 @default.
- W637646887 hasRelatedWork W3045754217 @default.
- W637646887 hasRelatedWork W566708883 @default.
- W637646887 hasRelatedWork W580689440 @default.
- W637646887 hasRelatedWork W582700502 @default.
- W637646887 hasRelatedWork W596103964 @default.
- W637646887 hasRelatedWork W602283821 @default.
- W637646887 hasRelatedWork W2182269258 @default.
- W637646887 hasRelatedWork W3142739811 @default.
- W637646887 isParatext "false" @default.
- W637646887 isRetracted "false" @default.
- W637646887 magId "637646887" @default.
- W637646887 workType "article" @default.