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An optimized hybrid metaheuristic algorithm is employed for the development of efficient artificial neural networks used for damage detection in laminated composite structures
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Physics-informed neural networks for corrosion analysis
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Bio-inspired algorithms for engineering problems
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Polynomial chaos kriging-based model for predicting initial in-situ stresses in dam sites
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Simulation study and prediction models on stress corrosion characteristics of wire in rope under wear-corrosion coupling damage
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Investigation of process parameter influences on deep drawing simulation of 5182 aluminum sheet using the Taguchi method
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Numerical investigation of fretting fatigue considering residual stress
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A new method for ultrasonic shot peening simulation by coupling discrete element method and finite element method
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Fretting fatigue crack initiation behavior in heterogeneous materials under out-of-phase loading
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Quantification of two separate cracks by retrieval of relevant features from vibrational data using a deep 1D CNN network