ANNFAA: artificial neural network-based tool for the analysis of Federal Aviation Administration's rigid pavement systems. Issue 2 (28th January 2022)
- Record Type:
- Journal Article
- Title:
- ANNFAA: artificial neural network-based tool for the analysis of Federal Aviation Administration's rigid pavement systems. Issue 2 (28th January 2022)
- Main Title:
- ANNFAA: artificial neural network-based tool for the analysis of Federal Aviation Administration's rigid pavement systems
- Authors:
- Rezaei Tarahomi, Adel
Kaya, Orhan
Ceylan, Halil
Gopalakrishnan, Kasthurirangan
Kim, Sunghwan
Brill, David R. - Abstract:
- ABSTRACT: Three-dimensional Finite Element (3D-FE) stress computations involved in the current rigid airport pavement design methodology, are time consuming when considering top-down cracking failure mode. In this study, Artificial Neural Network (ANN) models are integrated into a tool called ANNFAA to replace such 3D-FE computations. ANNFAA makes use of the best ANN models developed in MATLAB for 156 different airplanes without requiring any additional software installation or cumbersome learning of a new program. Within ANNFAA development, about 4, 000 of 3D-FE simulations and many ANN models have been developed for each of these airplanes. Three useful tools were also developed using C# and MATLAB for implementing the 3D-FE analysis, post-processing the results, training the ANN models, and determining accuracy and performance of the ANN models. ANNFAA provides an accurate and rapid procedure for practitioners, engineers, and researchers for computing the critical stress responses associated with top-down cracking in multiple-slab rigid airfield pavements. This should make pavement design and analysis more practical, especially when a significantly large number of different cases that include top-down cracking failure mode are investigated. Also, this will help when currently used bottom-up cracking mode in the FAA standard rigid pavement design procedures is being considered in a design.
- Is Part Of:
- International journal of pavement engineering. Volume 23:Issue 2(2022)
- Journal:
- International journal of pavement engineering
- Issue:
- Volume 23:Issue 2(2022)
- Issue Display:
- Volume 23, Issue 2 (2022)
- Year:
- 2022
- Volume:
- 23
- Issue:
- 2
- Issue Sort Value:
- 2022-0023-0002-0000
- Page Start:
- 400
- Page End:
- 413
- Publication Date:
- 2022-01-28
- Subjects:
- Rigid airfield pavements -- critical tensile stresses -- artificial neural networks -- Top-Down cracking
Pavements -- Design and construction -- Periodicals
Highway engineering -- Periodicals
625.805 - Journal URLs:
- http://www.tandfonline.com/toc/gpav20/current ↗
http://www.tandfonline.com/ ↗
http://journalsonline.tandf.co.uk/app/home/journal.asp?wasp=d62yfa1mwn2vwm902w9h&referrer=parent&backto=searchpublicationsresults, 1, 1;homemain, 1, 1; ↗ - DOI:
- 10.1080/10298436.2020.1748627 ↗
- Languages:
- English
- ISSNs:
- 1029-8436
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.449720
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 20748.xml