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Machine Learning for Structural Damage Detection by manashpro1729 is a document available to read on EtoBox.

What is Machine Learning for Structural Damage Detection about?

This study presents a machine learning-based method for damage identification in structures using multi-point acceleration measurements and Random Forest algorithms. The method aims to improve the accuracy of damage assessment by analyzing various vibration features, including maximum response acceleration and natural frequency. The proposed approach was validated through cross-validation and vibration tests on actual damaged specimens, demonstrating its potential for practical application in structural ins

Author

manashpro1729

Language

EN