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Abstract Engineers are increasingly interested in using municipal solid waste incinerator ash (MSWIA) to construct different geotechnical 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-carrying 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. From the results, it was found that the ANN can predict the strength better than MLR. Also, a correlation between the UCS and STS for the MSWIA mixed with fiber and cement was established.
Singh et al. (Wed,) studied this question.