Stochastic interpretable machine learning-based multi-scale modeling of nanomaterial reinforced concrete with carbon nanotubes and nano-silica for enhanced structural performance
Bibliographic record
Abstract
No abstract is available for this record. The assistant can identify its topic from the title, but cannot infer the study’s results.
Source: Not provided · Quality: missing
Research context
OpenAlex topics: Innovative concrete reinforcement materials · Smart Materials for Construction · Composite Material Mechanics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (36)
Show source-provided references
1. Reis ED, Borges LA, Camargos JSF et al (2023) A systematic review on the engineering properties of concrete with carbon nanotubes. J Braz Soc Mech Sci Eng 45:205. https://doi.org/10.1007/s40430-023-04117-w10.1007/s40430-023-04117-w ↗
2. Ebrahim A, Kandasamy S (2023) The effect of using multi-walled carbon nanotubes on the mechanical properties of concrete: a review. Innov Infrastruct Solut 8:251. https://doi.org/10.1007/s41062-023-01219-110.1007/s41062-023-01219-1 ↗
3. Song JS, Kwac LK, Kim HG et al (2023) Enhanced mechanical properties of anti-corrosive concrete coated by milled carbon nanofiber-reinforced composite paint. Carbon Lett 33:1095–1104. https://doi.org/10.1007/s42823-023-00528-w10.1007/s42823-023-00528-w ↗
4. Anish V, Logeshwari J (2024) A review on ultra high-performance fibre-reinforced concrete with nanomaterials and its applications. J Eng Appl Sci 71:25. https://doi.org/10.1186/s44147-023-00357-810.1186/s44147-023-00357-8 ↗
5. Islam A, Pandey AK, Sharma K et al (2024) Enhancing thermo-physical properties of hybrid nanoparticle-infused medium temperature organic phase change materials using graphene nanoplatelets and multiwall carbon nanotubes. Discover Mater 4:59. https://doi.org/10.1007/s43939-024-00130-510.1007/s43939-024-00130-5 ↗
6. Ramazani P, Moradi Shaghaghi T, Farzam M et al (2024) Flexural strength of light-weight steel fiber reinforced concrete containing biodegradable LDHs microparticles: experimental study and multiscale finite element model. Int J Concr Struct Mater 18:37. https://doi.org/10.1186/s40069-024-00667-y10.1186/s40069-024-00667-y ↗
7. Dahake HB, Shinde BH (2024) A review on hybrid fiber-reinforced self-compacting concrete: properties & challenges. Iran J Sci Technol Trans Civ Eng. https://doi.org/10.1007/s40996-024-01480-z10.1007/s40996-024-01480-z ↗
8. Bheel N, Mohammed BS, Woen EL (2024) Modelling and optimizing the impact resistance of engineered cementitious composites with multiwalled carbon nanotubes using response surface methodology. Sci Rep 14:24107. https://doi.org/10.1038/s41598-024-75641-510.1038/s41598-024-75641-5 ↗
9. Wang S, Zuo J, Li Y et al (2023) Fe2O3-MWNTs composite with reinforced concrete structure as high-performance anode material for lithium-ion batteries. Chem Res Chin Univ 39(2):240–245. https://doi.org/10.1007/s40242-022-2147-110.1007/s40242-022-2147-1 ↗
10. Yousef S, Eimontas J, Striūgas N et al (2023) Catalytic pyrolysis and kinetic study of glass fibre-reinforced epoxy resin over CNTs, graphene and carbon black particles/ZSM-5 zeolite hybrid catalysts. J Therm Anal Calorim 148:897–912. https://doi.org/10.1007/s10973-022-11776-910.1007/s10973-022-11776-9 ↗
11. Irshidat MR, Al-Husban RS (2022) Effect of bond enhancement using carbon nanotubes on flexural behavior of RC beams strengthened with externally bonded CFRP sheets. Front Struct Civ Eng 16:131–143. https://doi.org/10.1007/s11709-021-0787-810.1007/s11709-021-0787-8 ↗
12. do Carmo Lima Carvalho J, Zerbini Costal G, de Morais EA et al (2023) Synthesis and application of carbon nanotubes grown directly on pozzolanic clay. J Nanopart Res 25:186. https://doi.org/10.1007/s11051-023-05822-210.1007/s11051-023-05822-2 ↗
13. Sabet M (2024) Advanced synthesis techniques and tailored properties of carbon nanotube reinforced polymer composites for high-performance applications. Polym Bull. https://doi.org/10.1007/s00289-024-05549-710.1007/s00289-024-05549-7 ↗
14. Khateeb AH, Abdulwahed LR, Mohammed AR (2024) Modeling vibration and crack behavior of reinforced concrete beams: developing artificial neural network predictive models. Asian J Civ Eng 25:129–139. https://doi.org/10.1007/s42107-023-00763-610.1007/s42107-023-00763-6 ↗
15. Frieda FS, Greeshma S (2024) Nanomaterials in geopolymer concrete: state of the art. Innov Infrastruct Solut 9:375. https://doi.org/10.1007/s41062-024-01695-z10.1007/s41062-024-01695-z ↗
16. Meshram SD, Gupta S, Kulthe M et al (2024) The role of additive manufacturing in the study of carbon fiber-reinforced polymer composite. Polym Bull 81:15469–15511. https://doi.org/10.1007/s00289-024-05476-710.1007/s00289-024-05476-7 ↗
17. Łukawski D, Hochmańska-Kaniewska P, Janiszewska-Latterini D et al (2023) Functional materials based on wood, carbon nanotubes, and graphene: manufacturing, applications, and green perspectives. Wood Sci Technol 57:989–1037. https://doi.org/10.1007/s00226-023-01484-410.1007/s00226-023-01484-4 ↗
18. Huang Y, Zhang L, Li S et al (2024) Aggregation influence of CNTs on wave dispersion modeling of hybrid nanocomposite arches. Acta Mech 235:2905–2918. https://doi.org/10.1007/s00707-024-03853-x10.1007/s00707-024-03853-x ↗
19. Mahmoodi MJ, Khamehchi M, Safi M (2023) A comprehensive probabilistic prediction and Monte-Carlo simulation of the flexural strength of hybrid graphene oxide/carbon nanotube cementitious nanocomposite. Acta Mech 234:5819–5839. https://doi.org/10.1007/s00707-023-03701-410.1007/s00707-023-03701-4 ↗
20. Yuan TF, Choi JS, Kim YH et al (2022) Influence of metallic grid and fiber reinforced concrete strengthening on the shielding and impact resistance of concrete walls. Arch Civ Mech Eng 22:109. https://doi.org/10.1007/s43452-022-00427-310.1007/s43452-022-00427-3 ↗
21. Kumar K, Verma RK, Ramkumar J et al (2024) Improving the efficiency of single lap riveted joints in the carbon nanofiller reinforced laminated polymer composites. Exp Tech. https://doi.org/10.1007/s40799-024-00746-510.1007/s40799-024-00746-5 ↗
22. Wang Y, Fu Y, Meng Z et al (2022) Experimental study and piezoresistive mechanism of electrostatic self-assembly of carbon nanotubes–carbon black/epoxy nanocomposites for structural health monitoring. J Mater Sci 57:12416–12437. https://doi.org/10.1007/s10853-022-07402-610.1007/s10853-022-07402-6 ↗
23. Panse TG, Kalbande MN, Balpande RS et al (2025) Predictive performance of nano-alumina and zeolite-based high-performance nano-engineered concrete: integrative application of quantum computing and machine learning with optimization techniques. Quantum Mach Intell 7:93. https://doi.org/10.1007/s42484-025-00317-w10.1007/s42484-025-00317-w ↗
24. Mungle NP, Kumar S, Mate DM et al (2025) Hybrid high-performance computing enhanced machine learning framework for nano-thermal conductivity in MWNT-oil-based solar cooking systems. J Eng Appl Sci 72:90. https://doi.org/10.1186/s44147-025-00666-010.1186/s44147-025-00666-0 ↗
25. Vairagade VS (2025) Artificial intelligence-driven predictive modeling of multi-functional carbon nanotube infused smart cement for structural reinforcement and real-time damage sensing. Front Struct Civ Eng 19:1403–1417. https://doi.org/10.1007/s11709-025-1219-y10.1007/s11709-025-1219-y ↗
26. Vairagade VS, Bahoria BV, Isleem HF, Shelke N, Mungle NP (2025) Strength and durability predictions of ternary blended nano-engineered high-performance concrete: application of hybrid machine learning techniques with bio inspired optimization. Eng Appl Artif Intell. https://doi.org/10.1016/j.engappai.2025.11047010.1016/j.engappai.2025.110470 ↗
27. Kalbande MN, Panse TG, Gaidhani YA et al (2025) Hybrid machine learning based strength and durability predictions of polypropylene fiber-reinforced graphene oxide based high-performance concrete. Iran J Sci Technol Trans Civ Eng. https://doi.org/10.1007/s40996-025-01852-z10.1007/s40996-025-01852-z ↗
28. Bahoria BV, Pande PB, Dhengare SW, Raut JM, Bhagat RM, Shelke NM, Uparkar SS, Vairagade VS (2024) Predictive models for properties of hybrid blended modified sustainable concrete incorporating nano-silica, basalt fibers, and recycled aggregates: application of advanced artificial intelligence techniques. Nano-Struct Nano-Objects 40:101373. https://doi.org/10.1016/j.nanoso.2024.10137310.1016/j.nanoso.2024.101373 ↗
29. Vairagade VS (2025) Diffusion-based generative AI framework for long-term degradation forecasting and risk assessment of steel fibre reinforced fly ash-based concrete. Discover Comput 28:309. https://doi.org/10.1007/s10791-025-09868-910.1007/s10791-025-09868-9 ↗
30. Vairagade VS (2025) Durability and service life prediction of fly ash based geopolymer high performance concrete under extreme environmental conditions. Sci Rep 15:43173. https://doi.org/10.1038/s41598-025-27229-w10.1038/s41598-025-27229-w ↗
31. Vairagade VS (2025) Multi-scale theoretical modeling with molecular simulation framework for fly ash-based high-performance concrete. Sci Rep 15:44895. https://doi.org/10.1038/s41598-025-28690-310.1038/s41598-025-28690-3 ↗
32. Lu D, Wang G, Du X, Wang Y (2017) A nonlinear dynamic uniaxial strength criterion that considers the ultimate dynamic strength of concrete. Int J Impact Eng 103:124–137. https://doi.org/10.1016/j.ijimpeng.2017.01.01110.1016/j.ijimpeng.2017.01.011 ↗
33. Wang G, Lu D, Li M, Zhou X, Wang J, Du X (2021) Static-dynamic combined multiaxial strength criterion for concrete. J Eng Mech. https://doi.org/10.1061/(asce)em.1943-7889.000191810.1061/(asce)em.1943-7889.0001918 ↗
34. Wang G, Lu D, Du X, Zhou X (2018) Dynamic multiaxial strength criterion for concrete based on strain rate-dependent strength parameters. J Eng Mech. https://doi.org/10.1061/(asce)em.1943-7889.000142810.1061/(asce)em.1943-7889.0001428 ↗
35. Wang G, Lu D, Gao Y, Xie Z, Du X (2025) Viscoelastic peridynamic method for the interface in the reinforced concrete. Eng Fract Mech 315:110817. https://doi.org/10.1016/j.engfracmech.2025.11081710.1016/j.engfracmech.2025.110817 ↗
36. Wang G, He W, Lu D, Song Z, Du X (2025) A peridynamic method for creep and stress relaxation incorporating a novel fractional viscoelastic model. Eng Anal Bound Elem 171:106104. https://doi.org/10.1016/j.enganabound.2024.10610410.1016/j.enganabound.2024.106104 ↗