Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights
Conventional damage detection techniques are gradually being replaced by state-of-the-art
smart monitoring and decision-making solutions. Near real-time and online damage …
smart monitoring and decision-making solutions. Near real-time and online damage …
Damage identification using piezoelectric electromechanical impedance: a brief review from a numerical framework perspective
High-frequency electromechanical impedance measured from the piezoelectric transducer
has been recognized as an effective indicator to infer minor damage occurrence. Over the …
has been recognized as an effective indicator to infer minor damage occurrence. Over the …
A reinforcement learning hyper-heuristic in multi-objective optimization with application to structural damage identification
Multi-objective optimization allows satisfying multiple decision criteria concurrently, and
generally yields multiple solutions. It has the potential to be applied to structural damage …
generally yields multiple solutions. It has the potential to be applied to structural damage …
Piezoelectric impedance-based high-accuracy damage identification using sparsity conscious multi-objective optimization inverse analysis
Two elements are essential in structural health monitoring utilizing dynamic responses:
response measurement with high-frequency contents, ie, small characteristic wavelengths …
response measurement with high-frequency contents, ie, small characteristic wavelengths …
Multitask sparse Bayesian learning with applications in structural health monitoring
We focus on a Bayesian approach to learn sparse models by simultaneously utilizing
multiple groups of measurements that are marked by a similar sparseness profile. Joint …
multiple groups of measurements that are marked by a similar sparseness profile. Joint …
Review of piezoelectric impedance based structural health monitoring: Physics-based and data-driven methods
Vibration based structural health monitoring methods are usually dependent on the first
several orders of modal information, such as natural frequencies, mode shapes and the …
several orders of modal information, such as natural frequencies, mode shapes and the …
A novel damage identification algorithm by combing the boundary element method and a series connection neural network
Y Yang, Z Zhan, Y Liu - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
A novel damage identification approach based on a model-driven and a data-driven
combined algorithm is developed. By using this approach with only boundary strains, the …
combined algorithm is developed. By using this approach with only boundary strains, the …
A model-based calibration approach for structural fault diagnosis using piezoelectric impedance measurements and a finite element model
The electromechanical coupling property of piezoelectric transducers gives rise to a
promising class of structural fault diagnosis methods often referred to collectively as …
promising class of structural fault diagnosis methods often referred to collectively as …
1D-CNN-based damage identification method based on piezoelectric impedance using adjustable inductive shunt circuitry for data enrichment
X Zhang, H Wang, B Hou, J Xu… - Structural Health …, 2022 - journals.sagepub.com
The electromechanical impedance (EMI)-based damage identification method is a non-
destructive testing approach in the field of structural health monitoring. The frequency …
destructive testing approach in the field of structural health monitoring. The frequency …
Piezoelectric materials in civil engineering applications: A review
AC Aydin, O Çelebi̇ - ACS omega, 2023 - ACS Publications
This review presents the important applications of piezoelectric materials in civil engineering
in recent years. Studies on the development of smart construction structures have been …
in recent years. Studies on the development of smart construction structures have been …