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Feature extraction and classification of multiple cracks from raw vibrational responses of composite beams using 1D-CNN network
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A nonlinear optimization method for calibration of largeāscale deep cement mixing in very soft clay deep excavation
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Artificial neural network and YUKI algorithm for notch depth prediction in X70 steel specimens
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Numerical analysis of an experimental ballistic test of Al/SiC functionally graded materials
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- Journal Article
- A1
- open access
A deep learning approach to predict fretting fatigue crack initiation location
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- Conference Paper
- C3
- open access
Extracting damage features from vibrational response in a cracked simple beam using convolutional neural networks
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- Conference Paper
- C3
- open access
A new method to predict crack initiation location of fretting fatigue
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Quantification of two separate cracks by retrieval of relevant features from vibrational data using a deep 1D CNN network
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- Journal Article
- A1
- open access
An improved Artificial Neural Network for the direct prediction of fretting fatigue crack initiation lifetime
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- Conference Paper
- C1
- open access
Machine learning for predicting pipeline displacements based on soil rigidity