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Laboratory Study and Investigation on Significance Level of Fatigue Phenomenon in Warm Mix Asphalt Modified with Nano-Silica | ||
| Journal of Rehabilitation in Civil Engineering | ||
| مقاله 6، دوره 8، شماره 2 - شماره پیاپی 18، مرداد 2020، صفحه 92-113 اصل مقاله (1.55 M) | ||
| نوع مقاله: Regular Paper | ||
| شناسه دیجیتال (DOI): 10.22075/jrce.2019.17478.1331 | ||
| نویسندگان | ||
| Saber Kie Badroodi1؛ Mahmood Reza Keymanesh* 2؛ Gholamali Shafabakhsh3 | ||
| 1Ph.D. candidate of Tehran PNU University, Tehran, Iran | ||
| 2Associate Professor, North Tehran Branch, Payam Noor University | ||
| 3Faculty of Civil Engineering, Semnan University | ||
| تاریخ دریافت: 28 اسفند 1397، تاریخ بازنگری: 24 تیر 1398، تاریخ پذیرش: 14 مهر 1398 | ||
| چکیده | ||
| The present research aims to conduct laboratory assessment on fatigue phenomenon in warm mix asphalt modified with nano-silica and including reclaimed asphalt pavement materials by the aid of review on self-healing behavior and measurement of validity of laboratory results by modeling via neural artificial network in neutral network of SPSS software. For this purpose, 2% weight of sasobit and 3, 5 and 7 % weights of base bitumen-to-bitumen (85-100) were added and they were stirred up by high-cut mixer. Then, the specimens of four-point flexural test were made by the reclaimed bitumen samples. The quantities of 0, 70 and 100% of reclaimed asphalt materials were utilized for aging simulation process in warm mix asphalt to build four-point flexural tested slabs. The findings indicate that adding nano-silica may essentially affect rising self-healing level in warm mix asphalts. The current study intends to present a model based on neural artificial network technique to predict behavior of warm asphalt specimens including different nano-material contents and to compare them with the laboratory results for measurement of validity of the given model. The given results show high precision of the model at level of 0.951. | ||
| کلیدواژه‌ها | ||
| Warm Mix Asphalt؛ Fatigue؛ Self-Healing؛ Reclaimed Asphalt Materials؛ Nano-Silica؛ Neural Network | ||
| مراجع | ||
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[1] White, S. R., Sottos, N. R., Geubelle, P. H., Moore, J. S., Kessler, M., Sriram, S. R., ... & Viswanathan, S. (2001). Autonomic healing of polymer composites. Nature, 409(6822), 794. [2] Shan, L., Tan, Y., & Kim, Y. R. (2013). Establishment of a universal healing evaluation index for asphalt binder. Construction and Building Materials, 48, 74-79. [3] Little, D. N., & Bhasin, A. (2007). Exploring mechanism of H ealing in asphalt mixtures and quantifying its impact. In Self healing materials (pp. 205-218). Springer, Dordrecht. [4] Fischer, H. (2010). Self-repairing material systems―a dream or a reality?. natural Science, 2(8), 720-726. [5] Qiu, J., Van de Ven, M., Wu, S., Yu, J., & Molenaar, A. (2012). Evaluating self healing capability of bituminous mastics. Experimental mechanics, 52(8), 1163-1171. [6] Dai, Q., Wang, Z., & Hasan, M. R. M. (2013). Investigation of induction healing effects on electrically conductive asphalt mastic and asphalt concrete beams through fracture-healing tests. Construction and Building Materials, 49, 729-737. [7] Uchida, K., Kurokawa, T., Himeno, K., & Nisizawa, T. (2002). Healing characteristics of asphalt mixture under high temperature conditions. JOURNAL OF PAVEMENT ENGINEERING, JSCE, 7, 29p1-29p11. [8] Bonnaure, F. P., Huibers, A. H. J. J., & Boonders, A. (1982). A laboratory investigation of the influence of rest periods on the fatigue characteristics of bituminous mixes (with discussion). In Association of Asphalt Paving Technologists Proceedings(Vol. 51). [9] Daniel, J. S., & Kim, Y. R. (2001). Laboratory evaluation of fatigue damage and healing of asphalt mixtures. Journal of Materials in Civil Engineering, 13(6), 434-440. [10] Menozzi, A., Garcia, A., Partl, M. N., Tebaldi, G., & Schuetz, P. (2015). Induction healing of fatigue damage in asphalt test samples. Construction and Building Materials, 74, 162-168. [11] Lee, N. K., Morrison, G. R., & Hesp, S. A. (1995). Low temperature fracture of polyethylene-modified asphalt binders and asphalt concrete mixes (with discussion). Journal of the Association of Asphalt Paving Technologists, 64. [12] Kim, B., & Roque, R. (2006). Evaluation of healing property of asphalt mixtures. Transportation Research Record, 1970(1), 84-91. [13] Little, D. N., Lytton, R. L., Chairl, B., Williams, D., & lTexas, A. M. (1998, August). An analysis of the mechanism of microdamage healing based on the application of micromechanics first principles of Fraci1jre and healing. Lino Lakes, MN: Association of Asphalt Paving Technologists. [14] Bahia, H. U., Zhai, H., Bonnetti, K., & Kose, S. (1999). Non-linear viscoelastic and fatigue properties of asphalt binders. Journal of the Association of Asphalt Paving Technologists, 68, 1-34. [15] Shafabakhsh, G. H., Ani, O. J., & Talebsafa, M. (2015). Artificial neural network modeling (ANN) for predicting rutting performance of nano-modified hot-mix asphalt mixtures containing steel slag aggregates. Construction and Building Materials, 85, 136-143. [16] Liu, Q., Yu, W., Wu, S., Schlangen, E., & Pan, P. (2017). A comparative study of the induction healing behaviors of hot and warm mix asphalt. Construction and Building Materials, 144, 663-670. [17] Lu X. (2013). Investigation of the Fracture Healing and Mechanism of Asphalt Binders. A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy, Washington state university, Department of Civil and Environmental Engineering. [18] Nazzal, M., Kaya, S., & Abu-Qtaish, L. (2012). Evaluation of WMA healing properties using atomic force microscopy. In 7th RILEM international conference on cracking in pavements (pp. 1125-1134). Springer, Dordrecht. [19] Diab, A., You, Z. P., & Wang, H. N. (2013). Using modified creep and recovery tests to evaluate the foam-based warm mix asphalt contained nano hydrated lime. In Advanced materials research (Vol. 646, pp. 90-96). Trans Tech Publications. [20] Diab, A., & You, Z. (2014). Rheological characteristics of nano-sized hydrated lime-modified foamed warm mix asphalt. In Pavement Materials, Structures, and Performance (pp. 79-89). [21] Cheng, J., Shen, J., & Xiao, F. (2011). Moisture susceptibility of warm-mix asphalt mixtures containing nanosized hydrated lime. Journal of Materials in Civil Engineering, 23(11), 1552-1559. [22] Xu, S., Xiao, F., Amirkhanian, S., & Singh, D. (2017). Moisture characteristics of mixtures with warm mix asphalt technologies–A review. Construction and Building Materials, 142, 148-161. [23] Kavussi, A., Qorbani, M., Khodaii, A., & Haghshenas, H. F. (2013). Quantification of parameters affecting moisture resistance of warm mix asphalt using response surface methodology. In IJPC—International Journal of Pavements Conference, Sao Paulo, Brazil. [24] Zalnezhad H., Galooyak S.S., Farahani H., Goli A. (2015). Investigating the Effect of Nano-Silica on the Specification of the Sasobit Warm Mix Asphalt. Petroleum & Coal, 57(5). [25] Jafari Haghighatpour,P., Kaymanesh, M, Aliha, M., (2018)," Design of Optimized Asphalt Mixture Against Pure Mode Ш Fracture ",Ph.D. Thesis, Payame Noor University(PNU), Tehran- Iran [26] Ameri, M., Hasani nia, M., Ziari, H., (2014)," Evaluation of fatigue strength of nano-silica-modified asphalt concrete", Transportation EngineeringYear Sixth Number II.
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