Efficient Structural Damage Detection with Minimal Input Data: Leveraging Fewer Sensors and Addressing Model Uncertainties

Efficient Structural Damage Detection with Minimal Input Data: Leveraging Fewer Sensors and Addressing Model Uncertainties

In the field of structural damage detection through vibration measurements, most existing methods demand extensive data collection, including vibration readings at multiple levels, strain data, temperature measurements, and numerous vibration modes. These requirements result in high costs and comple...

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Bibliographic Details
Main Authors: Fredi Alegría, Eladio Martínez, Claudia Cortés-García, Quirino Estrada, Andrés Blanco-Ortega, Mario Ponce-Silva
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Mathematics
Subjects:
structural damage
damage identification
genetic algorithms
uncertainties
incomplete data
MATLAB
Online Access:https://www.mdpi.com/2227-7390/12/21/3362
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