Laboratory investigation and BP neural network modeling on heat-activated oil shale semi-coke attributable to the mechanical properties of concrete
Source abstract
Abstract
Concrete construction requires the consumption of large quantities of raw materials. If oil shale semi-coke can be used in concrete projects in a reasonable way, not only will it ease the shortage of raw materials for concrete, but it will also consume oil shale semi-coke and reduce its ecological impact. This investigation aims to study the feasibility of using semi-coke in concrete construction based on its mechanical properties. The chemical components and microstructures of four thermal activation temperature oil shale semi-cokes were first analyzed by X-Ray Fluorescence (XRF) and scanning electron microscope (SEM). Then, by replacing the cement with equal mass of semi-coke, the effect of heat-activated calcination temperature and the amount of semi-coke admixture on the mechanical strength of mortars sand and concrete was tested. Finally, a BP neural network was used to establish a strength prediction model for semi-coke concrete and the evolution of internal pores of semi-coke concrete was analyzed by nuclear magnetic resonance (NMR). The results show that semi-coke is mainly composed of SiO2 and Al2O3, which can be used as a concrete mineral admixture for volcanic ash reaction. The oil shale semi-coke is flaky with a porous surface, resulting in the semi-coke contributing more to the flexural strength of the mortar than to the compressive strength. At the calcination temperature of 500 ℃ and a semi-coke content of 15%, the concrete has the lowest porosity and the best mechanical properties, and is therefore recommended. The developed BP neural network prediction model has a high prediction level and can provide guidance for practical engineering. The increase in the amount of coke admixture leads to a continuous increase in the number of pores in the medium and large pore sizes inside the concrete, which is the main reason for the change in concrete strength due to semi-coke.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Concrete and Cement Materials Research · Microbial Applications in Construction Materials · Drilling and Well Engineering
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (47)
Show source-provided references
1. Effect of dry distillation conditions on the pore structure of oil shale semi-coke
2. Influence of gas flooding pressure on groundwater flow during oil shale in situ exploitation
3. Geology and resources of some world oil-shale deposits10.3176/oil.2003.3.02 ↗
4. Liu Z.J. Oil shale resource state and evaluating system. Earth Sci. Front., 2005.
5. Solid oil shale heat carrier technology for oil shale retorting10.3176/oil.2003.3S.05 ↗
6. Influence of alkali metals on the kinetics of the thermal decomposition of biomass10.1016/j.fuproc.2012.05.014 ↗
7. Research on heating furnace process of Fushun dry distillation technology
8. Distribution of organic and inorganic ingredients in Estonian oil shale semicoke10.3176/oil.2004.3.05 ↗
9. Process simulation of oil shale comprehensive utilization system based on huadian-type retorting technique
10. Study of the environmental hazard caused by the oil shale industry solid waste
11. Environmental risks and problems of the optimal management of an oil shale semi-coke and ash landfill in Kohtla-Jrve, Estonia10.1016/j.scitotenv.2015.03.130 ↗
12. Modelling the relationship of coal structure to char porosity10.1016/S0016-2361(99)00122-2 ↗
13. Formulating and optimizing a combustion pathways for oil shale and its semi-coke10.1016/j.combustflame.2012.05.005 ↗
14. Thermal behavior of co-combustion of oil shale semi-coke with torrefied cornstalk
15. Utilization of semi-coke of Estonian shale oil industry10.3176/oil.2002.2.03 ↗
16. Study on the combustion characteristics of oil shale semi-coke mixed with corn straw
17. Zhang Q. Study on the Preparation of Microbial Fertilizers Using Oil Shale Semi-coke. Jilin University, 2014.
18. Goldfarb. Experimental and computational demonstration of a low-temperature waste to by-product conversion of U.S. oil shale semi-coke to a flue gas sorbent
19. Synthesis of nucleated glass-ceramics using oil shale fly ash10.1016/j.jhazmat.2009.08.099 ↗
20. Marangoni M., Ponsot I., Kuusik R., et al. Strong and chemically inert sinter crystallised glass ceramics based on Estonian oil shale ash. Adv. Appl. Ceram., 2013.10.1179/1743676113Y.0000000132 ↗
21. Multilayer graphene spheres generated from anthracite and semi-coke as anode materials for lithium-ion batteries
22. Preparation of a novel inorganic polymer coagulant from oil shale ash
23. Hydrothermal synthesis of zeolite from oil shale residue and its property characterization
24. Wei G.H. Research on the Application of Oil Shale Waste Residue in Highway Subgrade and Base. Jilin University, 2016.
25. Performance evaluation of cement-stabilized oil shale semicoke as base or subbase course construction material
26. Alkali activation of blended cements containing oil shale ash10.1016/j.conbuildmat.2012.11.006 ↗
27. Zheng G.X. Study on the Preparation of Oil Shale Semi-coke Foamed Cement. Northwest Normal University.
28. Luo F., Wei C.D. Shi C.L. Feasibility study on oil shale semi coke as concrete admixture. Fly Ash Compr. Util. 2017(04):9–12+17.
29. The use of oil shale ash in Portland cement concrete
30. Water sorptivity and chloride diffusivity of oil shale ash concrete
31. Behavior of concrete made using oil shale ash and cement mixtures10.3176/oil.2006.2.06 ↗
32. Shi G.X., Research on the Performance of Asphalt Mastic with Oil Shale Ash Residue Powder. Changchun: Jilin University, 2015.
33. Hao Y.F. Research on the Application of Oil Shale Waste Fine Powder in Cement Concrete. Jilin University, 2018.
34. Oil-shale fly ash utilization as independent binder of natural clayey soils for road and airfield base construction10.1080/02726350590902505 ↗
35. Mechanical properties of recycled coarse aggregate concrete with different qualities and fitting of Borromean formula
36. Application of support vector machine in strength prediction of slag-fly ash concrete
37. Prediction of the strength of mineral admixture concrete using multivariable regression analysis and an artificial neural network10.1016/j.eswa.2011.01.156 ↗
38. Artificial neural networks for the prediction of compressive strength of concrete
39. Prediction model of compressive strength of waste fly ash concrete based on BP neural network
40. Activated microporous carbon derived from almond shells for high energy density asymmetric supercapacitors10.1021/acsami.6b02942 ↗
41. Xu · 2018 · 82
42. Study on durability of high-modulus asphalt mixture based on TLA and fibre composite modification technology10.1080/10298436.2016.1224411 ↗
43. Assessment on steel slag-based SMA-5 and AC-5 asphalt mixtures for maintenance and induction heating10.1061/(ASCE)MT.1943-5533.0004113 ↗
44. Fu2zy grey relational analysis for software effort estimation10.1007/s10664-009-9113-0 ↗
45. A comparative study of strength models of recycled brick aggregate concrete based on PSO-BP and GA-BP neural networks
46. Prediction of concrete compressive strength using a back-propagation neural network optimized by a genetic algorithm and response surface analysis considering the appearance of aggregates and curing conditions
47. Research on the freeze-thaw pore evolution of aeolian sand concrete based on nuclear magnetic resonance