Browsing by Author "Belaidi, I."

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    Notch depth identification in CFRP composite beams based on modal analysis using artificial neural network
    (Springer, 2023) Zara, A.; Belaidi, I.; Oulad Brahim, A.; Khatir, S.; Capozucca, R.; Abdel Wahab, M.
    Recently, the development of optimization techniques based on artificial neural network (ANN) has shown considerable progress in the field of damage identification in composite structures, due to their simplicity, greater precision, and lower computational time compared to non-destructive testing methods (NDT). In our work, a finite element model is developed using ABAQUS software to validate the vibratory behaviors of experimental tests. Then, based on digital data extracted from a calibrated model of the damaged CFRP cantilever specimens, we used a novel artificial neural network approach to detect and identify notch depth in carbon fiber reinforced polymer (CFRP) beam based on modal analysis. The results show that ANN based on natural frequencies can be used to identify notch depth with good accuracy in composite structures
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    Performance Prediction of Cross-Flow fans Using Loss Correlations
    (2022) Himeur, Rania Majda; Khelladi, S.; Belaidi, I.; Ait Chikh, Mohamed Abdessamad
    Cross-flow fans (CFF) are double-stage cooling machines that have been invented in 1892 by Paul Mortier. Despite their early appearance, the CFFs did not get the same success as the axial or centrifugal fans, due to their weak efficiency and longwise form. However, they proved their usefulness in multiple domains such as air conditioners, and aircraft wings. The literature shows that many researchers attempted to predict their performances. Nevertheless, prior studies were limited to a few CFF designs, and the approaches could not be generalized. The main purpose of the present paper is to determine the characteristic curves of the pressure of the Eck CFF. It is a one-dimensional study that investigates several approaches of loss models inspired by those occurring in pumps, axial fans, or compressors, by using velocity triangles of the mean streamline. We will also reveal some parameters and hypotheses not mentioned in the literature. A basic apparatus was employed to collect the experimental results. The setup consists of a cross-flow fan of 24 forward curved blades and a surrounding casing. The Euler head and the pressure rise were extracted and compared with the theoretical results. The pressure coefficients obtained with the loss model corroborate the experience with good accuracy. Hence, the proposed methodology presents a good (first) approach to analyzing the performances of CFFs