Application of Neural Networks and Adaptive-Network-Based Fuzzy System in the Prediction of Optimum Bitumen Content for Asphaltic Concrete Mixtures
AbstractThe objective of this study is to explore the applicability of artificial neural networks (ANNs) and Adaptive-Network-Based fuzzy System (ANFIS) for predicting the bitumen content (OBC) of asphaltic concrete mixtures based on the experimental data. Samples were collected from different regions in Makkah region in Saudi Arabia during construction and tested at laboratories of Umm Al-Qura University for bitumen content, gradation of aggregate determination. Asphaltic concrete mixtures data were used to test the performance of the ANNs and ANFIS models. Among the two ANN models (a feed-forward back propagation (BP) and a radial basis function (RBF)) employed for this investigation, the BP neural network was found to be superior to RBF network for prediction of the OBC of asphaltic concrete mixtures. For improving model prediction efficiency, optimization of network structure and spread are important for BP and RBF types of the network, respectively. A BPNN model having a structure 3-8-4-1 (three neurons in input and eight neurons in first hidden layers, four neurons in second hidden layer and one neuron in output layer) produced better prediction performance efficiencies with an accuracy of 96.37%. The BPNN (3-8-4-1) model was fairly close to the corresponding actual values of OBC with the average error of 1.1854% and 1.01% for trained and tested data respectively. The results of the testing of ANFIS were indicated almost same performance of the BPNN (3-8-4-1) model.
. J.F. Dias, L. Picado-Santos, and S. Capitão. "Mechanical performance of dry process fine crumb rubber asphalt mixtures placed on the Portuguese road network." Construction and Building Materials, vol. 73, pp. 247-254, 2014.
. A. Pasandín, and I. Pérez. "Overview of bituminous mixtures made with recycled concrete aggregates." Construction and Building Materials, vol.74, pp. 151-161, 2015
. L.Wang, , et al., "Advances in Pavement materials, design, characterisation, and simulation." Road Materials and Pavement Design, vol. 18(3): pp. 1-11, 2017.
. N. Baldo, E. Manthos, and M. Pasetto, "Analysis of the Mechanical Behaviour of Asphalt Concretes Using Artificial Neural Networks." Advances in Civil Engineering, 2018
. M. Alawi, and M. Rajab. "Determination of optimum bitumen content and Marshall stability using neural networks for asphaltic concrete mixtures." in Proceedings of the 9th WSEAS International Conference on Computers, World Scientific and Engineering Academy and Society (WSEAS), 2005.
. J.-S. Jang, "ANFIS: adaptive-network-based fuzzy inference system." IEEE transactions on systems, man, and cybernetics, vol. 23(3), pp. 665-685, 1993
. M.G. Schaap, and F.J. Leij, "Using neural networks to predict soil water retention and soil hydraulic conductivity." Soil and Tillage Research, vol. 47(1-2), pp. 37-42, 1998.
. S. Haykin, "Neural Networks, Comprehensive Foundation," Piscataway. NJ: IEEE Press, 1999.
. H.R. Maier, and G.C. Dandy, "The effect of internal parameters and geometry on the performance of back-propagation neural networks: an empirical study." Environmental Modelling & Software, vol. 13(2), pp. 193-209, 1998
. W. Dias, and S. Pooliyadda, "Neural networks for predicting properties of concretes with admixtures." Construction and Building Materials, vol. 15(7): pp. 371-379, 2001.
. J. Haddadnia, K. Faez, and M. Ahmadi, "A fuzzy hybrid learning algorithm for radial basis function neural network with application in human face recognition." Pattern Recognition, vol. 36(5): pp. 1187-1202, 2003.
. M.T. Hagan, H.B. Demuth, and M.H. Beale, "Neural network design," PWS Pub. Co., Boston, 1996.
. I. Flood, and N. Kartam, "Neural networks in civil engineering. I: Principles and understanding." Journal of computing in civil engineering, vol. 8(2): pp. 131-148, 1994.
Copyright (c) 2020 American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who submit papers with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
- By submitting the processing fee, it is understood that the author has agreed to our terms and conditions which may change from time to time without any notice.
- It should be clear for authors that the Editor In Chief is responsible for the final decision about the submitted papers; have the right to accept\reject any paper. The Editor In Chief will choose any option from the following to review the submitted papers:A. send the paper to two reviewers, if the results were negative by one reviewer and positive by the other one; then the editor may send the paper for third reviewer or he take immediately the final decision by accepting\rejecting the paper. The Editor In Chief will ask the selected reviewers to present the results within 7 working days, if they were unable to complete the review within the agreed period then the editor have the right to resend the papers for new reviewers using the same procedure. If the Editor In Chief was not able to find suitable reviewers for certain papers then he have the right to accept\reject the paper.B. sends the paper to a selected editorial board member(s). C. the Editor In Chief himself evaluates the paper.
- Author will take the responsibility what so ever if any copyright infringement or any other violation of any law is done by publishing the research work by the author
- Before publishing, author must check whether this journal is accepted by his employer, or any authority he intends to submit his research work. we will not be responsible in this matter.
- If at any time, due to any legal reason, if the journal stops accepting manuscripts or could not publish already accepted manuscripts, we will have the right to cancel all or any one of the manuscripts without any compensation or returning back any kind of processing cost.
- The cost covered in the publication fees is only for online publication of a single manuscript.