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Analysis and optimization of design parameters for recycled concrete modified with nano-CaCO3 considering environmental and economic and mechanical properties

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Abstract

To reduce carbon emissions, it is advisable to replace coarse aggregates with recycled concrete; however, the low strength of recycled concrete necessitates the addition of nanomaterials to enhance its mechanical properties. In this study, compressive tests, lifecycle assessment, and lifecycle costing methods were used to examine the environmental, economic, and mechanical properties of concrete, and the recycled-aggregate (RA) replacement rate, nano-CaCO3 (NC) modification, and water–cement (W/C) ratio were examined as the main influencing factors. For multi-objective optimization considering the environment, economy, and compressive strength, the response surface method combined with a genetic algorithm was used. Subsequently, the TOPSIS and rank-sum ratio methods were employed to determine the optimal parameter design. The results indicated that the compressive strength of nano-modified recycled concrete decreases with an increase in the RA replacement rate and that NC can moderately increase the strength of concrete. The carbon emissions and cost of concrete decrease with increases in the RA replacement rate and W/C ratio, and they increase with the NC content. Among the factors considered, they are most significantly affected by the RA replacement rate. Using a multi-objective optimization approach together with a comprehensive evaluation, the optimal combination of parameters was determined to be 1.5% NC, 50% RA replacement, and a W/C ratio of 0.5.

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Data Availability

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

References

  1. Hansen TC (1986) Recycled aggregates and recycled aggregate concrete second state-of-the-art report developments 1945–1985. Mater Struct 19(3):201–246

    Article  MathSciNet  Google Scholar 

  2. Zhu YG, Kou SC, Poon CS et al (2013) Influence of silane-based water repellent on the durability properties of recycled aggregate concrete. Cement Concr Compos 35(1):32–38

    Article  Google Scholar 

  3. Liu X, Chen L, Liu A et al (2012) Effect of nano-CaCO3 on properties of cement paste. Energy Procedia 16(part-PB):991–996

    Article  Google Scholar 

  4. Qu C, Sun Y, Zhang P (2020) Effect of nano-CaCO3 on mechanical properties of recycled aggregate concrete. Concrete 09:82–84

    Google Scholar 

  5. Hu H, Yan C, He Z, Li Z, Zhan P (2020) Study on compressive strengths of recycled concrete with nano-CaCO3 carbonate based on orthogonal test. China Concrete Cement Prod 06:94–97. https://doi.org/10.19761/j.1000-4637.2020.06.094.05

    Article  Google Scholar 

  6. Xing W, Tam VW, Le KN, Hao JL, Wang J (2021) Life cycle assessment of recycled aggregate concrete on its environmental impacts: a critical review. Constr Build Mater 317:125950

    Article  Google Scholar 

  7. Sun H, Liu H, Tian J, Guo R, Xu Q, Yao L, Hong W, Li H, Zhu C (2022) Modelling and optimizing resource management and environmental benefit of construction and demolition waste: a case study in China. Buildings 12:1361. https://doi.org/10.3390/buildings12091361

    Article  Google Scholar 

  8. Colangelo F, Forcina A, Farina I, Petrillo A (2018) Life cycle assessment (LCA) of different kinds of concrete containing waste for sustainable construction. Buildings 8:70

    Article  Google Scholar 

  9. Liu J, Huang Z, Wang X (2020) Economic and environmental assessment of carbon emissions from demolition waste based on LCA and LCC. Sustainability 12(16):6683. https://doi.org/10.3390/su12166683

    Article  Google Scholar 

  10. Li J, Xiao F, Zhang L, Amirkhanian SN (2019) Life cycle assessment and life cycle cost analysis of recycled solid waste materials in highway pavement: a review. J Clean Prod 233:1182–1206

    Article  Google Scholar 

  11. Anand K, Elangovan S (2017) Optimizing the ultrasonic inserting parameters to achieve maximum pull-out strength using response surface methodology and genetic algorithm integration technique. Measurement 99:145–154

    Article  Google Scholar 

  12. Zhang Q, Feng X, Chen X, Lu K (2020) Mix design for recycled aggregate pervious concrete based on response surface methodology. Constr Build Mater 259:119776

    Article  Google Scholar 

  13. Habibi A, Ramezanianpour AM, Mahdikhani M, Bamshad O (2021) RSM-based evaluation of mechanical and durability properties of recycled aggregate concrete containing GGBFS and silica fume. Constr Build Mater 270:121431

    Article  Google Scholar 

  14. Psychas ID, Schauer M, Böhrnsen J-U et al (2016) Detection of defective pile geometries using a coupled FEM/SBFEM approach and an ant colony classification algorithm. Acta Mech 227(5):1279–1291

    Article  MathSciNet  MATH  Google Scholar 

  15. Yong W, Zhou J, Armaghani DJ, Tahir MM, Tarinejad R, Pham BT, Van Huynh VA (2021) New hybrid simulated annealing-based genetic programming technique to predict the ultimate bearing capacity of piles. Eng Comput 37:2111–2127

    Article  Google Scholar 

  16. Mohanty R, Suman S, Das SK (2017) Modelling the pull-out capacity of ground anchors using multi-objective feature selection. Arab J Sci Eng 42(3):1231–1241

    Article  Google Scholar 

  17. Dehghani S, Vosoughi A, Banan MR (2019) The effects of rehabilitation objectives on near optimal trade-off relation between minimum weight and maximum drift of 2D steel X-braced frames considering soil-structure interaction using a cluster-based NSGA II. Struct Multidiscip Optim 59(5):1703–1722

    Article  Google Scholar 

  18. Intergovernmental Panel on Climate Change (2006) 2006 IPCC guidelines for national greenhouse gas inventories. Tokyo, Japan: the National Greenhouse Gas Inventories Programme

  19. Li C, Cui SP, Nie ZR et al (2015) The LCA of portland cement production in China. Int J Life Cycle Assess 20(1):117–127. https://doi.org/10.1007/s11367-014-0804-4

    Article  Google Scholar 

  20. Yuxin G, Wang W, Fenlian X et al (2011) Carbon emissions assessment of green production for ready-mix concrete. Concrete 1:110–112. https://doi.org/10.3969/j.issn.1002-3550.2011.01.032

    Article  Google Scholar 

  21. Yang G, Yan H, Zheng Z (2013) Analysis of the advantages and economics of recycled concrete applications. Constr Econ 7:86–88

    Google Scholar 

  22. Batuecas E, Liendo F, Tommasi T, Bensaid S, Deorsola F, Fino D (2021) Recycling CO2 from flue gas for CaCO3 nanoparticles production as cement filler: a life cycle assessment. J CO2 Util 45:101446

    Article  Google Scholar 

  23. Li X, Wang S, Kong X et al (2011) Life cycle assessment of environmental impacts of ready mixed concrete. Chin Civil Eng J 44(1):132–138

    Google Scholar 

  24. Gong XZ, Nie ZR, Wang ZH et al (2012) Life cycle energy consumption and carbon dioxide emission of residential building designs in Beijing. J Ind Ecol 16(4):576–587

    Article  Google Scholar 

  25. Xiao J, Lei B (2008) Carbonation model and structural durability design for recycled concrete. J Archit Civil Eng 25(3):66–72. https://doi.org/10.3321/j.issn:1673-2049.2008.03.013

    Article  Google Scholar 

  26. Li C (2009) Research on the carbonation of concrete with multi-mineral admixtures. X’ian University of Architecture and Technology, X’ian

    Google Scholar 

  27. DebK, Agrawal S, Pratap A, et al. (2000) A fast elitist non-dominated sorting genetic algorithm for multi-objective optimisation: NSGA-II. In International Conference on Parallel Problem Solving From Nature. Springer, p. 849–858

  28. Lin LQ, Sun FM (2013) Research on the internal control evaluation system of enterprise mergers and acquisitions based on entropy value assignment method. Technol Ind 13:119–136

    Google Scholar 

  29. Zavadskas EK, Mardani A, Turskis Z, Jusoh A, Khalil KMD (2016) Development of TOPSIS method to solve complicated decision-making problems: an overview on developments from 2000 to 2015. Int J Inf Technol Decis Mak 15:645–682

    Article  Google Scholar 

  30. Fan H, Ji HP, Du XM, You H, Lu H (2012) Comprehensive evaluation of medical service quality in a city from 2008 to 2010 by applying comprehensive index method and rank sum ratio method. Health Soft Sci 26:201–203

    Google Scholar 

  31. Zitzler E, Thiele L (1999) Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach. IEEE Trans Evol Comput 3(4):257–271

    Article  Google Scholar 

  32. Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast andelitist multiobjective genetic algorithm: NSGAII. IEEE Trans Evol Comput 6(2):182–197

    Article  Google Scholar 

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Acknowledgements

The research described in the paper was supported by the National Natural Science Foundation of China (Nos. 51878554) and Key Projects of Shaanxi Natural Science Basic Research Program (No. 2018JZ5012).

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Authors and Affiliations

  1. College of Architecture and Civil Engineering, Xi’an University of Science and Technology, Xi′an, 710054, China

    Deng Yousheng, Zhang Keqin, Fu Yunbo, Zhao Huiling & Yao Zhigang

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  1. Deng Yousheng
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  2. Zhang Keqin
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  3. Fu Yunbo
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Correspondence to Zhang Keqin.

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Yousheng, D., Keqin, Z., Yunbo, F. et al. Analysis and optimization of design parameters for recycled concrete modified with nano-CaCO3 considering environmental and economic and mechanical properties. J Mater Cycles Waste Manag 25, 3651–3663 (2023). https://doi.org/10.1007/s10163-023-01785-7

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