Evolutionary Programming in Dowelled-Concrete Pavement: Faulting Performance Modeling
Accurate modeling of the faulting performance of concrete pavement is a critical component of pavement-management systems. A characteristic feature of most faulting models is that they are formulated and estimated statistically from field data. Most of these statistical models are obtained by trial-and-error and various transformations, and an a priori functional form is selected and applied only under static conditions. However, the availability of the large databases included in these models introduces the novel use of evolutionary programming to model the faulting performance of dowelled-concrete pavements. Evolutionary programming belongs to a new class of computational techniques, known as evolutionary computation. In this paper, an evolutionary algorithm is used to obtain a model that more closely matches faulting performance.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784407608
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Supplemental Notes:
- © 2004 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Paris, Deidre
- Attoh-Okine, Nii O
- Nawawaiseh, M
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Conference:
- Information Technology in Civil Engineering Symposium 2004
- Location: Baltimore Maryland, United States
- Date: 2004-10-22 to 2004-10-22
- Publication Date: 2004
Language
- English
Media Info
- Media Type: Web
- Pagination: pp 39-51
- Monograph Title: Computational Intelligence: From Theory to Practice
Subject/Index Terms
- TRT Terms: Concrete pavements; Dowels (Fasteners); Fault monitoring; Pavement management systems; Pavement performance
- Subject Areas: Highways; Materials; Pavements;
Filing Info
- Accession Number: 01909185
- Record Type: Publication
- ISBN: 9780784407608
- Files: TRIS, ASCE
- Created Date: Feb 22 2024 9:27AM