Modeling of Mechanical Properties of Recycled Foamed Asphalt Mix by Nonlinear Regression and Artificial Neural Network and Ranking of Different Designs Using TOPSIS Method

Mirshekarian Babaki, Mehrdad; Pirhadi Tavandashti, Ali

Modeling of Mechanical Properties of Recycled Foamed Asphalt Mix by Nonlinear Regression and Artificial Neural Network and Ranking of Different Designs Using TOPSIS Method

dc.creator	Mirshekarian Babaki, Mehrdad
dc.creator	Pirhadi Tavandashti, Ali
dc.date	2025-03-05
dc.date.accessioned	2025-10-01T23:53:14Z
dc.description	Foamed asphalt mixtures, created using reclaimed asphalt pavement (RAP) and foamed bitumen, offer energy savings, reduced use of virgin materials, and lower transportation costs, combining the characteristics of rigid and flexible pavements. This study evaluated the mechanical performance of foamed asphalt mixtures with varying bitumen content (1–3 %) and cement content (0–2 %) to identify the optimal combination for pavement applications. Samples were tested for uniaxial compressive strength (UCS), indirect tensile strength (ITS), resilient modulus (RM), and tensile strength ratio (TSR) under laboratory conditions. To predict the results, a nonlinear regression model and an artificial neural network (ANN) were employed. The ANN model demonstrated greater accuracy with significantly lower prediction errors compared to the nonlinear regression model. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method was then used to select the optimal combination of materials. TOPSIS prioritizes mixtures with the shortest geometric distance to the positive ideal solution (best values for all attributes) and the longest distance from the negative ideal solution. The results showed that UCS and RM increased as the bitumen content increased from 1 % to 2 %, but these properties decreased when the bitumen content exceeded 2 %. In contrast, ITS (dry and saturated) showed continuous improvement with an increase in bitumen content from 1 % to 3 %. TOPSIS analysis identified the mixture with 3 % bitumen and 2 % cement as the optimal combination, achieving the best overall performance in the UCS, ITS, RM, and TSR tests. This study highlights the utility of foamed asphalt mixtures for sustainable construction, demonstrating that ANN predictions and TOPSIS can effectively guide material selection to achieve superior mechanical performance while reducing environmental impact.	en-US
dc.description	Las mezclas de asfalto espumado, creadas utilizando pavimento asfáltico reciclado (RAP, por sus siglas en inglés) y betún espumado, ofrecen ahorros de energía, reducción del uso de materiales vírgenes y menores costos de transporte, combinando las características de pavimentos rígidos y flexibles. Este estudio evaluó el rendimiento mecánico de las mezclas de asfalto espumado con diferentes contenidos de betún (1–3 %) y contenidos de cemento (0–2 %) para identificar la combinación óptima para aplicaciones en pavimentos. Se realizaron pruebas de resistencia a la compresión uniaxial (UCS, por sus siglas en inglés), resistencia a la tracción indirecta (ITS, por sus siglas en inglés), módulo resiliente (RM, por sus siglas en inglés) y relación de resistencia a la tracción (TSR, por sus siglas en inglés) en condiciones de laboratorio. Para predecir los resultados se utilizó un modelo de regresión no lineal y una red neuronal artificial (ANN, por sus siglas en inglés). El modelo de ANN demostró una mayor precisión con errores de predicción significativamente menores en comparación con el modelo de regresión no lineal. Luego, se empleó el método de Técnica para el Orden de Preferencia por Similaridad a la Solución Ideal (TOPSIS) para seleccionar la combinación óptima de materiales. TOPSIS prioriza las mezclas con la distancia geométrica más corta a la solución ideal positiva (mejores valores para todos los atributos) y la distancia más larga de la solución ideal negativa. Los resultados mostraron que UCS y RM aumentaron a medida que el contenido de betún aumentaba del 1 % al 2 %, pero estas propiedades disminuyeron cuando el contenido de betún superó el 2 %. En contraste, ITS (seco y saturado) mostró una mejora continua con el aumento del contenido de betún del 1 % al 3 %. El análisis de TOPSIS identificó la mezcla con 3 % de betún y 2 % de cemento como la combinación óptima, logrando el mejor rendimiento general en las pruebas de UCS, ITS, RM y TSR. Este estudio destaca la utilidad de las mezclas de asfalto espumado para la construcción sostenible, demostrando que las predicciones de ANN y TOPSIS pueden guiar eficazmente la selección de materiales para lograr un rendimiento mecánico superior mientras se reduce el impacto ambiental.	es-ES
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dc.identifier	https://revistas.itm.edu.co/index.php/tecnologicas/article/view/3154
dc.identifier	10.22430/22565337.3154
dc.identifier.uri	https://hdl.handle.net/20.500.12622/7915
dc.language	eng
dc.publisher	Instituto Tecnológico Metropolitano (ITM)	es-ES
dc.relation	https://revistas.itm.edu.co/index.php/tecnologicas/article/view/3154/3502
dc.relation	https://revistas.itm.edu.co/index.php/tecnologicas/article/view/3154/3743
dc.relation	https://revistas.itm.edu.co/index.php/tecnologicas/article/view/3154/3744
dc.relation	https://revistas.itm.edu.co/index.php/tecnologicas/article/view/3154/3745
dc.relation	/ref/K. Kuna, G. Airey, and N. Thom, “Mix Design Considerations of Foamed Bitumen Mixture with Reclaimed Asphalt Pavement Material,” Int. J. Pavement Eng., vol. 18, no. 10, pp. 902-915, Jan. 2016. https://doi.org/10.1080/10298436.2015.1126271
dc.relation	/ref/B. Marquis, D. Peabody, R. Mallick, and R. Soucie, “Determination of Structural Layer Coefficient for Roadway Recycling Using Foamed Asphalt,” Recycled Materials Resource Center, Instituto Politécnico de Worcester, Final Report, 2003. https://rmrc.wisc.edu/wp-content/uploads/2012/10/p26final.pdf
dc.relation	/ref/G. Martinez-Argulles, F. Giustozzi, M. Crispino, and G. W. Flintsch, “Investigating physical and rheological properties of foamed bitumen,” Construction and Building Materials, vol. 72, pp. 423-433, Dec. 2014. https://doi.org/10.1016/j.conbuildmat.2014.09.024
dc.relation	/ref/H. Gui-Ping, and W. Wing-Gun, “Laboratory study on permanent deformation of foamed asphalt mix incorporating reclaimed asphalt pavement materials,” Construction and Building Materials, vol. 21, no. 8, pp. 1809-1819, Aug. 2007. https://doi.org/10.1016/j.conbuildmat.2006.05.024
dc.relation	/ref/Z. Li, P. Hao, H. Liu, and J. Xu, “Effect of cement on the strength and microcosmic characteristics of cold recycled mixtures using foamed asphalt,” J. Clean. Prod., vol. 230, pp. 956–965, Sep. 2019. https://doi.org/10.1016/j.jclepro.2019.05.156
dc.relation	/ref/F. V. Guatimosim, K. L. Vascocelos, L. Liedi, and J. Kim, “Laboratory and field evaluation of cold recycling mixture with foamed asphalt,” Road Materials and Pavement Design, vol. 19, no. 2, pp. 385-399, Dec. 2016. https://doi.org/10.1080/14680629.2016.1261726
dc.relation	/ref/K. J. Jenkins, and D. C. Collings, “Mix design of bitumen-stabilised materials-South Africa and abroad,” Road Mater. Pavement, vol. 18, no. 2, pp. 331-349, Aug. 2016. https://doi.org/10.1080/14680629.2016.1213511
dc.relation	/ref/H. Gui-Ping, and W. Wing-Gun, “Effects of moisture on strength and permanent deformation of foamed asphalt mix incorporating RAP materials,” Construction and Building Materials, vol. 22, no. 1, pp. 30-40, Jan. 2008. https://doi.org/10.1016/j.conbuildmat.2006.06.033
dc.relation	/ref/B. Şimşek, and T. Uygunoğlu, “Multi-response optimization of polymer blended concrete: A TOPSIS based Taguchi application,” Constr. Build. Mater., vol. 117, pp. 251–262, Aug. 2016. https://doi.org/10.1016/j.conbuildmat.2016.05.027
dc.relation	/ref/Y. Kim, and H. “david” Lee, “Development of mix design procedure for cold in-place recycling with foamed asphalt,” J. Mater. Civ. Eng., vol. 18, no. 1, pp. 116–124, Feb. 2006. https://doi.org/10.1061/(ASCE)0899-1561(2006)18:1(116)
dc.relation	/ref/M. F. Saleh, “Effect of aggregate gradation, mineral fillers, bitumen grade, and source on mechanical properties of foamed bitumen–stabilized mixes,” Transp. Res. Rec., vol. 1952, no. 1, pp. 90–100, Jan. 2006. https://doi.org/10.1177/0361198106195200110
dc.relation	/ref/A. Saleh, and L. Gáspár, “Advantages and limitations of using foamed bitumen,” Acta Tech. Jaurinensis, vol. 14, no. 3, pp. 300–314, Mar. 2021. https://doi.org/10.14513/actatechjaur.00587
dc.relation	/ref/P. Fu, D. Jones, J. T. Harvey, and S. A. Bukhari, “Laboratory test methods for foamed asphalt mix resilient modulus,” Road Mater. Pavement Des., vol. 10, no. 1, pp. 188–212, Sep. 2011. https://doi.org/10.1080/14680629.2009.9690187
dc.relation	/ref/T. Ma, H. Wang, Y. Zhao, X. Huang, and Y. Pi, “Strength Mechanism and Influence Factors for Cold Recycled Asphalt Mixture,” Adv. Mater. Sci. Eng., vol. 2015, p. 181853, Sep. 2015. https://doi.org/10.1155/2015/181853
dc.relation	/ref/G. Narendra Goud, “Laboratory and Field Evaluation of Recycled Cold Mixes,” M.S. thesis, National Institute of Technology Warangal, Warangal, India, 2006. https://acortar.link/E3QS5g
dc.relation	/ref/J.-Z. Xu and P.-W. Hao, “Study of aggregate gradations in foamed bitumen mixes,” Road Materials and Pavement Design, vol. 13, no. 4, pp. 660–677, Nov. 2012. https://doi.org/10.1080/14680629.2012.742627
dc.relation	/ref/P. Fu, D. Jones, J. T. Harvey, and F. A. Halles, “Investigation of the curing mechanism of foamed asphalt mixes based on micromechanics principles,” J. Mater. Civ. Eng., vol. 22, no. 1, pp. 29–38, May. 2010. https://doi.org/10.1061/(ASCE)MT.1943-5533.0000009
dc.relation	/ref/D. E. Newcomb et al., “Properties of foamed asphalt for warm mix asphalt applications,” Transportation Research Board, Washington, D.C., 2015. https://doi.org/10.17226/22145
dc.relation	/ref/A. Kavussi, and L. Hashemian, “Laboratory evaluation of moisture damage and rutting potential of WMA foam mixes,” Int. J. Pavement Eng., vol. 13, no. 5, pp. 415–423, Jul. 2011. https://doi.org/10.1080/10298436.2011.597859
dc.relation	/ref/M. Iwanski, P. Buczynski, and G. Mazurek, "The use of gabbro dust in the cold recycling of asphalt paving mixes with foamed bitumen," B. Pol. Acad. Sci. Tech., vol. 64, no. 4, pp. 763-773, 2016. https://doi.org/10.1515/bpasts-2016-0085
dc.relation	/ref/F. A. Halles, and G. Z. Thenoux, “Degree of influence of active fillers on properties of recycled mixes with foamed asphalt,” Transp. Res. Rec., vol. 2095, no. 1, pp. 127–135, Jan. 2009. https://doi.org/10.3141/2095-13
dc.relation	/ref/M. Iwański, and A. Chomicz-Kowalska, “Laboratory study on mechanical parameters of foamed bitumen mixtures in the cold recycling technology,” Procedia Eng., vol. 57, pp. 433–442, 2013. https://doi.org/10.1016/j.proeng.2013.04.056
dc.relation	/ref/H. Divandari, A. Modarres, S. M. Hosseini Aliabadi, and M. Rostami Enkas, “Presentation of a rutting model of asphalt mixes using indirect tensile strength and Marshall strength test results,” Transp. Infra. Eng., vol. 1, no. 2, pp. 41-54, Jul. 2015. https://doi.org/10.22075/JTIE.2014.163
dc.relation	/ref/A. Ameli, S. YoussefDost, and R. Babagoli, " Characteristics of Asphalt Mixtures Made with the Foam Bitumen Technology," Transp. Res., vol. 14, no. 2, pp. 321-334, 2017. https://www.trijournal.ir/article_50995.html
dc.relation	/ref/M. R. Keymanesh, H. Ziyari, A. Nasrollah Tabar, and N. Shahriari, “Potential Analysis of Microstructural Parameters and Indirect Tensile Strength in Evaluation of Rutting Performance of Hot Asphalt Mixtures,” Transp. Infra. Eng., vol. 3, no. 1, pp. 69-82, May. 2016. https://doi.org/10.22075/JTIE.2017.1762.1167
dc.relation	/ref/J. Little, and C. Moler. MATLAB. R2019B (2019). The MathWorks, Inc., Natick, Massachusetts, United States. Accessed: Apr. 25, 2024. [Online]. Available: https://la.mathworks.com/products/matlab/student.html
dc.relation	/ref/
dc.rights	Derechos de autor 2025 TecnoLógicas	es-ES
dc.rights	https://creativecommons.org/licenses/by-nc-sa/4.0	es-ES
dc.source	TecnoLógicas; Vol. 28 No. 62 (2025); e3154	en-US
dc.source	TecnoLógicas; Vol. 28 Núm. 62 (2025); e3154	es-ES
dc.source	2256-5337
dc.source	0123-7799
dc.subject	artificial neural networks	en-US
dc.subject	foamed bitumen	en-US
dc.subject	mechanical properties	en-US
dc.subject	nonlinear regression	en-US
dc.subject	reclaimed asphalt pavement	en-US
dc.subject	topsis method	en-US
dc.subject	redes neuronales artificiales	es-ES
dc.subject	betún espumado	es-ES
dc.subject	propiedades mecánicas	es-ES
dc.subject	regresión no lineal	es-ES
dc.subject	pavimento asfáltico reciclado	es-ES
dc.subject	método TOPSIS	es-ES
dc.title	Modeling of Mechanical Properties of Recycled Foamed Asphalt Mix by Nonlinear Regression and Artificial Neural Network and Ranking of Different Designs Using TOPSIS Method	en-US
dc.title	Modelado de propiedades mecánicas de mezclas asfálticas espumadas recicladas mediante regresión no lineal y redes neuronales artificiales y clasificación de diferentes diseños utilizando el método TOPSIS	es-ES
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	Research Papers	en-US
dc.type	Artículos de investigación	es-ES