Development of unified elastic modulus model of natural and recycled aggregate concrete for structural applications
Source abstract
Abstract
The development of design guidelines for structural recycled aggregate concrete (RAC) is hindered by the absence of a unified elastic modulus model focusing on the properties of diversely-sourced coarse recycled aggregates (CRA). This study develops a unified elastic modulus model of RAC and natural aggregate concrete (NAC) considering four inputs: CRA dosage, coarse aggregates/cement content, effective water/cement content, and coarse aggregates water absorption. Ten machine-learning algorithms are evaluated through various statistical approaches to explore the most suitable algorithm by establishing a database from 72 studies (i.e., 633 test results). Based on the results, CRA properties are significant for the elastic modulus prediction of RAC. All machine learning models perform better than existing models, and GBA, BRA, and XGBA models are the most suitable algorithms. The pioneering unified design equations proposed in this work can efficiently predict the elastic modulus of RAC and NAC, leading toward sustainable and cleaner concrete design.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Recycled Aggregate Concrete Performance · Infrastructure Maintenance and Monitoring · Innovative concrete reinforcement materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (74)
Show source-provided references
1. Axial stress-strain behavior of macro-synthetic fiber reinforced recycled aggregate concrete10.1016/j.cemconcomp.2019.01.005 ↗
2. Construction and demolition waste management in China through the 3R principle10.1016/j.resconrec.2017.09.029 ↗
3. US Environmental Protection Agency, Advancing sustainable materials management: 2015 fact sheet., US Environmental Protection Agency, 2018.
4. National waste report
5. Statistical Office of the European Communities (Eurostat), Eurostat yearbook 2002 - The statistical guide to Europe: Data 1990–2000, Office for Official Publications of the European Communities, Luxembourg, 2002.
6. Stress-strain behavior of spirally confined recycled aggregate concrete: An approach towards sustainable design10.1016/j.resconrec.2019.03.043 ↗
7. Influence of concrete strength on the stress-strain behavior of spirally confined recycled aggregate concrete10.1088/1757-899X/829/1/012004 ↗
8. Mechanical and post-cracking performance of recycled aggregate concrete incorporating synthetic fibers10.1088/1757-899X/829/1/012003 ↗
9. Synergistic effect of rice husk, glass and marble sludges on the engineering characteristics of eco-friendly bricks
10. Effect of different aggregate treatment techniques on the freeze-thaw and sulfate resistance of recycled aggregate concrete10.1016/j.coldregions.2020.103126 ↗
11. Effect of compression casting method on the compressive strength, elastic modulus and microstructure of rubber concrete10.1016/j.jclepro.2020.121746 ↗
12. M.J. Munir, S.M.S. Kazmi, A. Khitab, M. Hassan, Utilization of rice husk ash to mitigate alkali silica reaction in concrete, 2nd International Multi-Disciplinary Conference (IMDC 2016), University of Lahore (Gujrat Campus), 2016.
13. Role of test method in detection of alkali–silica reactivity of concrete aggregates10.1680/jcoma.16.00058 ↗
14. Recycled aggregate concrete: Mechanical and durability performance
15. Unified strength model for spiral steel confined concrete columns
16. Influence of different treatment methods on the mechanical behavior of recycled aggregate concrete: a comparative study10.1016/j.cemconcomp.2019.103398 ↗
17. Axial stress-strain performance of recycled aggregate concrete reinforced with macro-polypropylene fibres10.3390/su13105741 ↗
18. Application of waste tire rubber and recycled aggregates in concrete products: A new compression casting approach10.1016/j.resconrec.2020.105353 ↗
19. Effect of macro-synthetic fibers on the fracture energy and mechanical behavior of recycled aggregate concrete10.1016/j.conbuildmat.2018.08.161 ↗
20. Stress strain performance of steel spiral confined recycled aggregate concrete10.1016/j.cemconcomp.2020.103535 ↗
21. World Business Council for Sustainable Development, The cement sustainability initiative - Recycling concrete, World Business Council for Sustainable Development, Switzerland, 2009.
22. Utilising CO2 technologies for recycled aggregate concrete: a critical review10.1016/j.conbuildmat.2020.118903 ↗
23. Effect of recycled aggregate treatment techniques on the durability of concrete: a comparative evaluation10.1016/j.conbuildmat.2020.120284 ↗
24. Workability and compressive strength properties of concrete containing recycled concrete aggregate
25. Investigation of thermal performance of concrete incorporating different types of recycled coarse aggregates
26. An environmentally friendly method to improve the quality of recycled concrete aggregates10.1016/j.conbuildmat.2017.03.191 ↗
27. Properties of treated recycled aggregates and its influence on concrete strength characteristics10.1016/j.conbuildmat.2016.02.064 ↗
28. Properties enhancement of recycled aggregate concrete through pretreatment of coarse aggregates – comparative assessment of assorted techniques10.1016/j.jclepro.2018.04.192 ↗
29. Evaluation of various treatment methods for enhancing the physical and morphological properties of coarse recycled concrete aggregate10.1016/j.conbuildmat.2016.02.176 ↗
30. Microbial carbonate precipitation for the improvement of quality of recycled aggregates10.1016/j.jclepro.2017.04.051 ↗
31. Influence of the pretreatment of recycled aggregates
32. Modeling of mechanical properties and durability of recycled aggregate concretes10.1016/j.conbuildmat.2011.06.043 ↗
33. Behaviour of concrete with different proportions of natural and recycled aggregates10.1016/0921-3449(93)90036-F ↗
34. Use of high fineness of fly ash to improve properties of recycled aggregate concrete10.1061/(ASCE)MT.1943-5533.0000054 ↗
35. Recycled concrete and mixed rubble as aggregates: influence of variations in composition on the concrete properties and their use as structural material10.1016/j.conbuildmat.2011.10.007 ↗
36. Machine learning prediction of mechanical properties of concrete: critical review10.1016/j.conbuildmat.2020.119889 ↗
37. An Artificial Neural Networks model for the prediction of the compressive strength of FRP-confined concrete circular columns10.1016/j.engstruct.2017.02.047 ↗
38. Development of novel design strength model for sustainable concrete columns: a new machine learning-based approach10.1016/j.jclepro.2022.131988 ↗
39. Development of a novel compressive strength design equation for natural and recycled aggregate concrete through advanced computational modeling
40. A unified model for predicting the compressive strength of recycled aggregate concrete containing supplementary cementitious materials10.1016/j.jclepro.2019.119752 ↗
41. Mesoscale modeling of recycled aggregate concrete under uniaxial compression and tension using discrete element method10.1016/j.conbuildmat.2020.121116 ↗
42. Parametric sensitivity analysis and modelling of mechanical properties of normal- and high-strength recycled aggregate concrete using grey theory, multiple nonlinear regression and artificial neural networks10.1016/j.conbuildmat.2019.03.234 ↗
43. New formulations for mechanical properties of recycled aggregate concrete using gene expression programming10.1016/j.conbuildmat.2016.10.114 ↗
44. model updating approach applied to mechanical properties of recycled aggregate concrete under uniaxial or triaxial compression10.1016/j.conbuildmat.2021.124274 ↗
45. Evaluation of mechanical properties of concretes containing coarse recycled concrete aggregates using multivariate adaptive regression splines (MARS), M5 model tree (M5Tree), and least squares support vector regression (LSSVR) models10.1007/s00521-018-3630-y ↗
46. Novel metaheuristic-based type-2 fuzzy inference system for predicting the compressive strength of recycled aggregate concrete10.1016/j.jclepro.2021.128771 ↗
47. A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model10.1007/s00366-020-01003-0 ↗
48. Predicting strength of recycled aggregate concrete using artificial neural network, adaptive neuro-fuzzy inference system and multiple linear regression10.1016/j.ijsbe.2016.09.003 ↗
49. Estimating the compressive strength of eco-friendly concrete incorporating recycled coarse aggregate using neuro-fuzzy approach10.1016/j.jclepro.2020.121886 ↗
50. C.V. P, C.K. N, Prediction of compressive strength of recycled aggregate concrete using artificial neural network and cuckoo search method, Materials Today: Proceedings 46 (2021) 8480–8488.10.1016/j.matpr.2021.03.500 ↗
51. Compressive strength prediction of recycled concrete based on deep learning10.1016/j.conbuildmat.2018.04.169 ↗
52. Development of a unified model to predict the axial stress–strain behavior of recycled aggregate concrete confined through spiral reinforcement10.1016/j.engstruct.2020.110851 ↗
53. Prediction of buckling load of columns using artificial neural networks10.1061/(ASCE)0733-9445(1996)122:11(1385) ↗
54. Data-driven shear strength prediction of steel fiber reinforced concrete beams using machine learning approach10.1016/j.engstruct.2020.111743 ↗
55. Machine learning-based prediction for compressive and flexural strengths of steel fiber-reinforced concrete10.1016/j.conbuildmat.2020.121117 ↗
56. Efficient machine learning models for prediction of concrete strengths10.1016/j.conbuildmat.2020.120950 ↗
57. Axial stress-strain performance of steel spiral confined acetic acid immersed and mechanically rubbed recycled aggregate concrete
58. Hyperparameter optimization for machine learning models based on bayesian optimization
59. Comparative analysis of different machine learning algorithms to predict mechanical properties of concrete
60. Multiobjective optimization of building energy consumption based on BIM-DB and LSSVM-NSGA-II10.1016/j.jclepro.2021.126153 ↗
61. XGBoost algorithm-based prediction of concrete electrical resistivity for structural health monitoring10.1016/j.autcon.2020.103155 ↗
62. An evolutionary approach to formulate the compressive strength of roller compacted concrete pavement10.1016/j.measurement.2019.107309 ↗
63. Properties of concrete made with crushed concrete as coarse aggregate10.1680/macr.1985.37.130.29 ↗
64. Suitability of recycled concrete aggregate for use in BS 5328 designated mixes10.1680/istbu.1999.31568 ↗
65. Processed concrete rubble for the reuse as aggregate
66. Variation in mechanical properties of natural and recycled aggregate concrete as related to the strength of their binding mortar10.1007/BF02484315 ↗
67. On relationships between the mechanical properties of recycled aggregate concrete: An overview10.1617/s11527-006-9093-0 ↗
68. Recycling and reuse of waste concrete in China: Part I. Material behaviour of recycled aggregate concrete10.1016/j.resconrec.2008.09.006 ↗
69. Design of reinforced recycled aggregate concrete elements in conformity with Eurocode 210.1016/j.conbuildmat.2015.12.080 ↗
70. The influence of retained moisture in aggregates from recycling on the properties of new hardened concrete10.1016/S0956-053X(96)00033-5 ↗
71. Mechanical and elastic behaviour of concretes made of recycled-concrete coarse aggregates10.1016/j.conbuildmat.2010.02.031 ↗
72. Mix design and properties of recycled aggregate concretes: Applicability of Eurocode 210.1007/s40069-014-0087-y ↗
73. Concrete with recycled concrete aggregate
74. Genetic programming based symbolic regression for shear capacity prediction of SFRC beams10.1016/j.conbuildmat.2021.122523 ↗