ARTIFICIAL NEURAL NETWORKS AS DESIGN TOOLS IN CONCRETE AIRFIELD PAVEMENT DESIGN

An artificial neural network (ANN) model has been developed in this study with the results of ILLI-SLAB finite element program and used as an analysis design tool for predicting stresses in jointed concrete airfield pavements. In addition to various load locations (slab interior, corners and/or edges) and joint load transfer efficiencies, a wide range of realistic airfield slab thicknesses and subgrade supports were considered in training of the ANN model. Under identical dual wheel type loading conditions, the trained ANN model produces stresses within an average of 0.38 percent of those obtained from finite element analyses. The trained ANN model has been found to very effective for correctly predicting ILLI-SLAB stresses, practically in the blink of an eye, with no requirements of complicated finite element inputs. The ANN model is currently being expanded to handle several other aircraft gear configurations and multiple wheel loading conditions. Design curves created from these neural network models will eventually enable pavement engineers to easily incorporate current sophisticated state-of-the-art technology into routine practical design.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/0784403511
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Ceylan, H
  • Tutumluer, E
  • Barenberg, E J
• Conference:
  • Airport Facilities: Innovations for the Next Century. Proceedings of the 25th International Air Transportation Conference.
  • Location: Austin, Texas
  • Date: 1998-6-14 to 1998-6-17
• Publication Date: 1998-6

Language

• English

Media Info

• Features: Figures; References;
• Pagination: p. 447-465

Subject/Index Terms

• TRT Terms: Airport runways; Artificial intelligence; Concrete pavements; Design engineering; Landing fields; Neural networks; Pavement design
• Subject Areas: Aviation; Design; Highways; Materials; Pavements; Terminals and Facilities; I32: Concrete;

Filing Info

• Accession Number: 00768229
• Record Type: Publication
• ISBN: 0784403511
• Files: TRIS
• Created Date: Aug 26 1999 12:00AM