Developmentofprediction models for strength behavior of MSWIA mixedwithfiberandcement

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dc.contributor.authorSingh, NeelaM
dc.date.accessioned2026-03-23T05:03:17Z
dc.date.available2026-03-23T05:03:17Z
dc.date.issued2025
dc.description.abstractEngineersareincreasinglyinterestedinusingmunicipalsolidwasteincineratorash(MSWIA)toconstructdifferentgeotechni cal structures. This practice not only helps manage waste but also positively impacts the environment. Stabilizing such wastes by adding admixture and reinforcing material significantly improves their load bearing capacity. This study investigates the strength behavior of the MSWIA mixed with cement and fiber, providing valuable insights for the practical application of these materials. Unconfined compressive strength (UCS) and split tensile strength (STS) tests were conducted to understand the behavior. The aspect ratio of the fiber, cement content, fiber content, and curing period varied during testing. The impact of individual variables was evaluated based on the results of the tests through sensitivity analysis. Further, a mathematical model based on the Artificial Neural network (ANN) and Multivariable linear regression model (MLRM) was developed, and results were compared. The coefficient of determination ‘R2’ for UCS in ANN was 0.996 and in STS was 0.995 while for MLRM,‘R2’was0.94 for UCSand 0.93 for STS. From the results, it was found that the ANN can predict the strength better than MLRM. Also, a correlation between the UCS and STS for the MSWIA mixed with fiber and cement was established.
dc.identifier.urihttp://cuh.ndl.gov.in/handle/123456789/1789
dc.language.isoen
dc.titleDevelopmentofprediction models for strength behavior of MSWIA mixedwithfiberandcement
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