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A Review of Vibration-Based Damage Detection in Civil Structures: From Traditional Methods to Machine Learning and Deep Learning Applications
Monitoring structural damage is extremely important for sustaining and p...
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Local Area Damage Detection in Composite Structures Using Piezoelectric Transducers
An integrated and automated smart structures approach for structural hea...
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Deterministic and stochastic damage detection via dynamic response analysis
The paper proposes a method of damage detection in elastic materials, wh...
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Fail-safe optimization of viscous dampers for seismic retrofitting
This paper presents a new optimization approach for designing minimum-co...
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Spatial Damage Characterization in Self-Sensing Materials via Neural Network-Aided Electrical Impedance Tomography: A Computational Study
Continuous structural health monitoring (SHM) and integrated nondestruct...
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A Multi-Objective DIRECT Algorithm Towards Structural Damage Identification with Limited Dynamic Response Information
A major challenge in Structural Health Monitoring (SHM) is to accurately...
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Hierarchical sparse Bayesian learning: theory and application for inferring structural damage from incomplete modal data
Structural damage due to excessive loading or environmental degradation ...
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Damage detection in a unidimensional truss using the firefly optimization algorithm and finite elements
In this paper, we investigate the damage detection of structures seen as an optimization problem, using modal characterization to evaluate the dynamic response of the structure given a damage model. We implemented the firefly optimization algorithm with a simple numerical damage model to assess the performance of the method and its advantages for structural health monitoring (SHM). We show some implementation details and discuss the obtained results.
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