Using recycled aggregate for seismically monitoring of embankment-subsoil model
Source abstract
Abstract
Huge volume of recycled aggregates are produced annually, in the economic and environmental view, they need to consume in the appropriate section of the construction industry. In this paper, a recycled aggregate has been used for seismic modeling of embankment-subsoil. The nonlinear software was employed in the modeling. For assessment modulus elasticity and lateral displacement of the model, the mechanical properties of the soil and the recycle aggregates designing have been selected as parameters. Three models, with the same geometry and different type of materials, have been configured. Results revealed the recycle aggregate enhances seismic mitigation of the model. The outcome of this study demonstrated using recycled aggregate in the construction industry impacts on (i) control strain and stress directions, (ii) minimize lateral displacement of the model, (iii) enhance modulus elasticity of the embankment-subsoil model, and (iv) the seismic stability of the embankment-subsoil model. The statistical analysis showed, the high accuracy for interpreting modulus elasticity of the model, and it is good evidence for numerical analysis accuracy results.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Geotechnical Engineering and Soil Stabilization · Recycled Aggregate Concrete Performance · Geotechnical Engineering and Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (51)
Show source-provided references
1. Seismic mitigation of embankment by using dense zone in subsoil
2. The embankment-subsoil displacement mechanism10.1002/mdp2.155 ↗
3. Embankment loading analysis in laboratory condition10.15446/ing.investig.v31n2.23602 ↗
4. Namdar · 2009
5. The strain energy development on subsoil-embankment because of seismic wave direction
6. Gopalakrishna · 2009
7. Liquefaction zone and differential settlement of cohesionless soil subjected to dynamic loading
8. Experimental, analytical and theoretical slope stability analysis with different materials and methods
9. Impact of permanent traffic lanes on the soil physical and mechanical properties inmechanized sugarcane fields withthe use ofautomatic steering10.1016/j.geoderma.2019.114097 ↗
10. Experimental study on influence of excess pore water pressure and unloading ratio on unloading mechanical properties of marine sedimentary soft soils
11. Influence of freeze-thaw cycles in the presence of a supplementary water supply on mechanical properties of compacted soil10.1016/j.coldregions.2018.09.009 ↗
12. Seismic resistance and displacement mechanism of the concrete footing
13. The effect of concrete footing shape in differential settlement: a seismic design
14. Residual displacement estimation for soft soils: application to Mexico city lake-bed
15. Quantitative analysis of soil displacement induced by ground loss and shield machine mechanical effect in Metro Tunnel construction10.3390/app9153028 ↗
16. Measurement and modelling of soil displacement from sweeps with different cutting widths10.1016/j.biosystemseng.2017.06.005 ↗
17. Prediction of earthquake-induced slope displacements considering 2D topographic amplification and flexible sliding mass10.1016/j.soildyn.2018.05.022 ↗
18. Earthquake-induced ground displacements10.1002/eqe.4290160704 ↗
19. A multi-block sliding approach to calculate the permanent seismic displacement of slopes10.1016/j.enggeo.2019.04.012 ↗
20. Ductile damage evolution under different strain rate conditions
21. The multilayered soil-structure seismic interaction and structure vibration mechanism
22. The Strain energy density to estimate lifetime of notched components subjected to variable amplitude fatigue loading
23. A generalized strain energy density criterion for mixed mode fracture analysis in brittle and quasibrittle materials10.1016/j.tafmec.2015.09.004 ↗
24. A review of recycled aggregate in concrete applications (2000–2017)10.1016/j.conbuildmat.2018.03.240 ↗
25. Uncertainty models of reinforced concrete beams in bending: code comparison and recycled aggregate incorporation
26. Financial assessment of manufacturing recycled aggregate concrete in ready-mix concrete plants10.1016/j.resconrec.2016.02.007 ↗
27. Macro- and micro- properties of multi-recycled aggregate concrete
28. Experimental analysis of properties of high performance recycled aggregate concrete10.1016/j.conbuildmat.2013.11.054 ↗
29. Modifying recycled aggregate concrete by aggregate surface treatment using sulphoaluminate cement and basalt powder10.1016/j.conbuildmat.2018.10.160 ↗
30. Non-invasive method for investigating energy and environmental performances in existing buildings
31. Neural network modeling of confined compressive strength and strain of circular concrete columns10.1061/(ASCE)0733-9445(2003)129:4(554) ↗
32. An artificial neural network approach to inhomogeneous soil slope stability predictions based on limit analysis methods10.1016/j.sandf.2018.10.008 ↗
33. Rock slope stability analyses using extreme learning neural network and terminal steepest descent algorithm10.1016/j.autcon.2016.02.004 ↗
34. A study of slope stability prediction using neural networks10.1007/s10706-004-8680-5 ↗
35. Artificial neural network models for predicting electrical resistivity of soils from thermal resistivity10.1016/j.ijthermalsci.2009.06.008 ↗
36. Artificial neural network estimation of soil erosion and nutrient concentration in runoff from land application areas10.1016/j.compag.2008.05.021 ↗
37. Modeling of some soil properties using artificial neural network and multivariate regression in Gorgan province, north of Iran
38. Digital soil mapping using artificial neural networks and terrain-related attributes10.1016/S1002-0160(15)30038-2 ↗
39. Transfer learning for soil spectroscopy based on convolutional neural networks and its application in soil clay content mapping using hyperspectral imagery
40. Predict soil texture distributions using an artificial neural network model10.1016/j.compag.2008.07.008 ↗
41. Modeling ground motion in Mexico city using artificial neural networks10.22201/igeof.00167169p.2003.42.2.263 ↗
42. Artificial neural network applications in geotechnical engineering
43. Artificial neural networks approach for swell pressure versus soil suction behaviour10.1139/T07-052 ↗
44. The use of neural networks for the prediction of the critical factor of safety of an artificial slope subjected to earthquake forces10.1016/j.scient.2012.02.008 ↗
45. Appraising cone penetration test based liquefaction resistance evaluation methods: artificial neural network approach10.1139/t99-011 ↗
46. Assessment of seismic liquefaction potential based on Bayesian network constructed from domain knowledge and history data10.1016/j.soildyn.2016.07.007 ↗
47. DEM analysis of geobag wall system filled with recycled concrete aggregate
48. Numerical simulation of stability analysis of soil slope using general particle dynamics with elastic‐plastic constitutive model
49. A simplified 3 D.O.F. model of A FEM model for seismic analysis of a silo containing elastic material accounting for soil–structure interaction10.1016/j.soildyn.2015.04.015 ↗
50. https://strongmotioncenter.org/.
51. Forecasting bearing capacity of the mixed soil using artificial neural networking