Abstract
In this paper, we propose an optimization descent method for predicting compressive material strength estimated parameters for lime and cement as coating substances. We first describe a simple model to express the main parameters used in this study. Second, we describe all equations related to both the amount of water to the amount of coating substance and the ratio of quantity of straw to quantity of coating substance. We then solve the provided model by applying an optimization method that is based upon a variant of the batch-gradient descent method. From a real-experimental case study conducted on the coating of flax straw, its goal is to provide an average estimated error closest to zero for both used materials. Finally, the experimental results shows that the proposed model with its solution procedure is able to predict well the parameters related to all properties.
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Goullieux, A., Hifi, M., Sadeghsa, S. (2022). Mathematical Model and Its Optimization to Predict the Parameters of Compressive Strength Test. In: Fidanova, S. (eds) Recent Advances in Computational Optimization. WCO 2020. Studies in Computational Intelligence, vol 986. Springer, Cham. https://doi.org/10.1007/978-3-030-82397-9_9
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DOI: https://doi.org/10.1007/978-3-030-82397-9_9
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