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- W4366245786 abstract "In this study, an innovative approach was proposed for developing industrial-waste-based soil curing agent mixtures using D-optimal design (DOD) and the genetic algorithm (GA). The influences of blast furnace slag (BFS), steel slag (SS), phosphogypsum (PG), and 42.5-grade ordinary Portland cement (P.O 42.5) on the mechanical characteristics of the solidified soil were assessed through unconfined compressive strength (UCS) tests. The mechanism, hydrates, and ecological properties of the soil solidified with the optimized curing agent were also evaluated. The statistical analysis confirmed the precision of the fitted regression model in forecasting the mechanical characteristics of the stabilized soil. Furthermore, the BFS and PG were found to have a positive effect on the UCS within a certain range at a 7-day age, while the SS and P.O 42.5 exhibited the opposite effect. The hybrid DOD-GA technique was more effective to optimize the formulation than the DOD technique. Overall, the UCS of the new curing agent-stabilized soil cured for 7 days with the same dosage was 46.25% higher than that of cement-stabilized soil; and the global warming potential (GWP) of the new curing agent per ton was 70.42% lower than that of cement. The new curing agent is more capable of achieving improved strength, microstructure, and environmental benefits than cement is, in addition to having inherent potential in industrial waste recycling, greenhouse buffering, and natural resource conservation. The contribution of this research is that the proposed systematic framework is universal, and it is reasonable to implement formulation optimization of soil hardening agents." @default.
- W4366245786 created "2023-04-20" @default.
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- W4366245786 date "2023-08-01" @default.
- W4366245786 modified "2023-10-10" @default.
- W4366245786 title "Experimental optimization of industrial waste-based soil hardening agent: Combining D-optimal design with genetic algorithm" @default.
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- W4366245786 doi "https://doi.org/10.1016/j.jobe.2023.106611" @default.
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