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A method to predict 28-day compressive strength of high strength concrete (HSC) by using MFNNs is proposed in this paper. The artificial neural networks (ANN) model is constructed trained and tested using the available data. A total of 368 different data of HSC mix-designs were collected from technical literature. The data used to predict the compressive(More)
The objective of this study was to compare the acquired image of teflon, human bone equivalent material on a Positron Emission Tomography/Computed Tomography (PET/CT) scanner with Monte Carlo simulation (MCNP). The cylindrical shape teflon phantom with dimensions of 19.5 cm length and 5.0 cm diameter was used for imaging with different settings of kilovolts(More)
Solutions in soil constitutive modeling have been based upon Hooke's law of linear elasticity for describing soil behaviour under working loading condition and Coulomb's law of perfect plasticity for describing soil behaviour under collapse state because of its simplicity in applications. The combination and generalization of Hooke and Coulomb's law is(More)
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