Mehmet Saltan
Civil Engineering Department, S. Demirel University
32260 Isparta/Turkey
ABSTRACT
Flexible pavement surface condition date play a principle role in the evaluation of pavement structural capacity and in the design of pavement rehabilitation programs. Flexible pavements are affected by moving vehicles, climate and other environmental factors. As a result of these factors, the pavement starts to deteriorate. In order to prevent further deterioration, a maintenance program should be carried out at right time and right places. For the determination of the structural carrying capacity of the pavement, non-destructive testing equipments are used. In such a process, the most important thing is to analyse the collected data. A backcalculation procedure is carried out for back-calculation elastic modules for each layer effective in the pavement life. The input data are usually restricted to the pavement surface deflection or its basin obtained by Nondestructive testing as the Falling Weight Deflectometer (FWD). Generally, linear elastic and finite element based programs are used for back-calculating, but they are both time consuming. It is also important to simulate deflection basin realistically in backcalculating pavement layer moduli. For this purpose, NeuroFuzzy method is used for simulation deflection basin during the course of this study. Results indicate that the NeuroFuzzy can be used for backcalculation of flexible pavement layer moduli with great improvement and accuracy.
PDF References Citation
How to cite this article
Mehmet Saltan, 2002. Modeling Deflection Basin Using Neurofuzzy in Backcaluculating Flexible Pavement Layer Moduli. Information Technology Journal, 1: 180-187.
DOI: 10.3923/itj.2002.180.187
URL: https://scialert.net/abstract/?doi=itj.2002.180.187
DOI: 10.3923/itj.2002.180.187
URL: https://scialert.net/abstract/?doi=itj.2002.180.187
REFERENCES
- Dimitrova, M., 1996. A compound neural network for user identification in adaptive human-computer interfaces. Complex Control Syst., 10: 44-52.
Direct Link - Hopfield, J.J., 1982. Neural networks and physical systems with emergent collective computational abilities. Proc. Natl. Acad. Sci. USA., 79: 2554-2558.
Direct Link - Kang, Y.V., 1998. Multifrequency back-calculation of pavement-layer moduli. J. Trans. Eng., 124: 73-81.
Direct Link - Jerzy, B., E. KiszkaMaria, K. Ska and D.S.S. Ska, 1985. The influence of some fuzzy implication operator on the accuracy of fuzzy model: Part 1. Fuzzy Sets Syst., 15: 111-128.
CrossRef - McCulloch, W. and W.H. Pitts, 1943. A logical calculus of the ideas immanent in nervous activity. Bull. Math. Biophys., 5: 115-133.
Direct Link