Artificial neural networks for the analysis of SLABS under simultaneous aircraft and temperature loading

Halil Ceylan, Erol Tutumluer, Ernest J. Barenberg

Research output: Contribution to journalConference article

Abstract

The development of an artificial neural network (ANN) model to analyze jointed concrete slabs in aircraft and temperature loading was discussed. Various slab load locations, joint load transfer efficiencies, a range of airfield slab thickness, and subgrade supports were considered. The ANN model was found to give maximum bending stresses and maximum vertical deflections within an average error of 1.4%. It was also found that the principle of superposition was not valid for the addition of critical pavement responses obtained under gear loading.

Original languageEnglish (US)
Pages (from-to)223-238
Number of pages16
JournalGeotechnical Special Publication
Issue number123
StatePublished - Mar 29 2004
EventRecent Advances in Materials Characterization and Modeling of Pavement Systems - New York, NY., United States
Duration: Jun 4 2002Jun 4 2002

Fingerprint

aircraft
slabs
artificial neural network
neural networks
slab
Aircraft
Neural networks
Concrete slabs
Pavements
Gears
temperature
subgrade
pavement
deflection
Temperature
analysis

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Architecture
  • Building and Construction
  • Geotechnical Engineering and Engineering Geology

Cite this

Artificial neural networks for the analysis of SLABS under simultaneous aircraft and temperature loading. / Ceylan, Halil; Tutumluer, Erol; Barenberg, Ernest J.

In: Geotechnical Special Publication, No. 123, 29.03.2004, p. 223-238.

Research output: Contribution to journalConference article

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