IJE TRANSACTIONS C: Aspects Vol. 31, No. 6 (June 2018) 894-902   

PDF URL: http://www.ije.ir/Vol31/No6/C/5-2753.pdf  
downloaded Downloaded: 23   viewed Viewed: 677

S. M. Mirabdolazimia and G. H. Shafabakhsh
( Received: February 14, 2017 – Accepted in Revised Form: January 06, 2018 )

Abstract    The analysis of pavements and their ingredients has always been important due to a good understanding of their behavior under different conditions; that leads to more accurate relations. Due to the extent of asphalt mixture application in the world, the assessment of different behaviors of this mix is very important from various aspects of performance and safety. Given that the asphalt mixtures are inherently very sensitive to temperature changes due to bitumen content, identification and analysis of the viscoelastic and visco-elasto-plastic behavior of the mixture is of particular importance. The scope of present research is to provide new model of viscoelastic behavior of asphalt concrete pavements with a combined effect of stress and temperature using genetic programming techniques. For this purpose, a number of dynamic creep tests under various temperatures and different stress levels were done. Beside, in this study a comparison is made between the generalized model and proposed model in estimating the visco elastic response of asphalt samples. Performance of the genetic programming model is quite satisfactory. The new proposed model will also help further researchers willing to perform similar studies, without carrying out destructive tests.


Keywords    Creep, Visco-elastic Model, Asphalt Mixture, Generalized Model, Genetic Programming


چکیده    تحليل روسازي راه ها و مواد تشکیل دهنده آنها همواره به دليل شناخت بهتر رفتار آنان تحت شرايط متفاوت از اهميت بالايی برخوردار بوده و باعث درک بهتر و در نتيجه طرح روابط دقيق‌تر مي‏گردد. با توجه به گستره وسیع کاربرد مخلوط های آسفالت در دنیا، ارزیابی رفتارهای مختلف این مخلوط از جنبه های مختلف عملکردی و ایمنی از اهمیت بسزایی برخوردار می باشد. با توجه به اینکه مخلوط های آسفالتی به طور ذاتی و به سبب قیر محتوی، نسبت به تغییرات دما بسیار حساس هستند، لذا شناسایی و بررسی رفتار ویسکو الاستیک و ویسکو الاستو پلاستیک این مخلوط ها و تعیین پارامترهای مؤثر در این رفتار که بسیار وابسته به تغییرات دماست، از اهمیت ویژه ای برخوردار است. هدف از این پژوهش ارائه مدل جدید رفتار ویسکو الاستیک رویه های بتن آسفالتی راه ها با تاثیر همزمان هر دو عامل تنش و دما با استفاده از تکنیک برنامه نویسی ژنتیک می باشد. برای این منظور، تعدادی آزمون خزش دینامیکی تحت دماهای مختلف و سطوح متفاوت تنش انجام گردید. علاوه بر این، در این پژوهش مقایسه ای بین مدل عمومی و مدل پبشنهادی در زمینه تخمین پاسخ ویسکو الاستیک نمونه های آسفالت انجام شده است. عملکرد مدل برنامه نویسی ژنتیکی کاملاً رضایت بخش است. همچنین مدل جدید ارائه شده، محققان بیشتری که قصد انجام تحقیقات مشابه دارند را بدون نیاز به انجام آزمونهای مخرب یاری خواهد نمود.


1.     Buttlar, W.G. and Roque, R., "Evaluation of empirical and theoretical models to determine asphalt mixture stiffnesses at low temperatures (with discussion)", Journal of the Association of Asphalt Paving Technologists,  Vol. 65, (1996), 99–141.

2.     Li, G., Li, Y., Metcalf, J. and Pang, S.-S., "Elastic modulus prediction of asphalt concrete", Journal of Materials in Civil Engineering,  Vol. 11, No. 3, (1999), 236-241.

3.     Zhu, H. and Nodes, J.E., "Contact based analysis of asphalt pavement with the effect of aggregate angularity", Mechanics of Materials,  Vol. 32, No. 3, (2000), 193-202.

4.     Arabani, M. and Ferdowsi, B., "Evaluating the semi-circular bending test for hma mixtures", International Journal of Engineering-Transactions A: Basics,  Vol. 22, No. 1, (2008), 47-58.

5.     Kim, Y.-R. and Little, D., "Linear viscoelastic analysis of asphalt mastics", Journal of Materials in Civil Engineering,  Vol. 16, No. 2, (2004), 122-132.

6.     Deshpande, V. and Cebon, D., "Uniaxial experiments on idealized asphalt mixes", Journal of Materials in Civil Engineering,  Vol. 12, No. 3, (2000), 262-271.

7.     Deshpande, V. and Cebon, D., "Steady-state constitutive relationship for idealised asphalt mixes", Mechanics of Materials,  Vol. 31, No. 4, (1999), 271-287.

8.     Bandyopadhyaya, R., Das, A. and Basu, S., "Numerical simulation of mechanical behaviour of asphalt mix", Construction and Building Materials,  Vol. 22, No. 6, (2008), 1051-1058.

9.     Zhao, Y., "Permanent deformation characterization of asphalt concrete using a viscoelastoplastic model",  (2002).

10.   Bahuguna, S., "Permanent deformation and rate effects in asphalt concrete: Creep modeling and numerical implementation [d]", Cleveland: Department of Civil Engineering, Case Western Reserve University,  (2003).

11.   Kettil, P., Lenhof, B., Runesson, K. and Wiberg, N.-E., "Simulation of inelastic deformation in road structures due to cyclic mechanical and thermal loads", Computers & structures,  Vol. 85, No. 1-2, (2007), 59-70.

12.   González, J.M., Canet, J.M., Oller, S. and Miró, R., "A viscoplastic constitutive model with strain rate variables for asphalt mixtures—numerical simulation", Computational Materials Science,  Vol. 38, No. 4, (2007), 543-560.







13.   Chen, F., Sun, Z.-q., Xu, J.-c. and Zhang, J.-y., "A composite material model for investigation of micro-fracture mechanism of brittle rock subjected to uniaxial compression", Journal of Central South University of Technology,  Vol. 8, No. 4, (2001), 258-262.

14.   Ghasemi, M. and Marandi, S., "Laboratory studies of the effect of recycled glass powder additive on the properties of polymer modified asphalt binders",  (2013).

15.   Courtney, T.H., "Mechanical behavior of materials, Waveland Press,  (2005).

16.   Barbero, E., Time–temperature–age superposition principle for predicting long-term response of linear viscoelastic materials, in Creep and fatigue in polymer matrix composites. 2011, Elsevier.48-69.

17.   Officials, T., "Aashto guide for design of pavement structures, 1993, AASHTO,  Vol. 1,  (1993).

18.   Huang, Y.H., "Pavement analysis and design",  (2004).

19.   Behbahani, H., Ziari, H. and Kamboozia, N., "Evaluation of the visco-elasto-plastic behavior of glasphalt mixtures through generalized and classic burger’s models modification", Construction and Building Materials,  Vol. 118, (2016), 36-42.

20.   Arabani, M., "Evaluation of rough set theory for decision making of rehabilitation method for concrete pavement",  (2005).

21.   Koza, J.R., "Genetic programming: On the programming of computers by means of natural selection, Cambridge,Massachusetts, The MIT Press,  (1992).

22.   Sundin, S. and BrabanLedoux, C., "Artificial intelligence–based decision support technologies in pavement management", ComputerAided Civil and Infrastructure Engineering,  Vol. 16, No. 2, (2001), 143-157.

23.   Chan, W.T., Fwa, T. and Hoque, K.Z., "Constraint handling methods in pavement maintenance programming", Transportation Research Part C: Emerging Technologies,  Vol. 9, No. 3, (2001), 175-190.

24.   Tack, J. and J. Chou, E., "Multiyear pavement repair scheduling optimization by preconstrained genetic algorithm", Transportation Research Record: Journal of the Transportation Research Board, 1816, (2002), 3-8.

25.   Tsai, B.-W., Kannekanti, V. and Harvey, J., "Application of genetic algorithm in asphalt pavement design", Transportation Research Record: Journal of the Transportation Research Board, 1891, (2004), 112-120.

26.   Tsai, B.-W., Harvey, J. and Monismith, C., "Using the three-stage weibull equation and tree-based model to characterize the mix fatigue damage process", Transportation Research Record: Journal of the Transportation Research Board, 1929, (2005), 227-237.

27.   Alavi, A. H. , Ameri,  M., Gandomi, A.H. and Mirzahosseini, M.R., "Formulation of flow number of asphalt mixes using a hybrid computational method", Construction and Building Materials,  Vol. 25, No. 3, (2011), 1338-1355.

Download PDF 

International Journal of Engineering
E-mail: office@ije.ir
Web Site: http://www.ije.ir