Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019
Structural damage identification has received considerable attention during the past
decades. Although several reviews have been presented, some new developments have …
decades. Although several reviews have been presented, some new developments have …
[HTML][HTML] The state of the art of data science and engineering in structural health monitoring
Structural health monitoring (SHM) is a multi-discipline field that involves the automatic
sensing of structural loads and response by means of a large number of sensors and …
sensing of structural loads and response by means of a large number of sensors and …
State-of-the-art review on Bayesian inference in structural system identification and damage assessment
Bayesian inference provides a powerful approach to system identification and damage
assessment for structures. The application of Bayesian method is motivated by the fact that …
assessment for structures. The application of Bayesian method is motivated by the fact that …
Structural damage identification using improved Jaya algorithm based on sparse regularization and Bayesian inference
Structural damage identification can be considered as an optimization problem, by defining
an appropriate objective function relevant to structural parameters to be identified with …
an appropriate objective function relevant to structural parameters to be identified with …
Damage identification of structural systems by modal strain energy and an optimization-based iterative regularization method
Sensitivity-based methods using modal data are effective and reliable tools for damage
localization and quantification. However, those may fail in obtaining reasonable and …
localization and quantification. However, those may fail in obtaining reasonable and …
High-dimensional data analytics in structural health monitoring and non-destructive evaluation: A review paper
H Momeni, A Ebrahimkhanlou - Smart Materials and Structures, 2022 - iopscience.iop.org
This paper aims to review high-dimensional data analytic (HDDA) methods for structural
health monitoring (SHM) and non-destructive evaluation (NDE) applications. High …
health monitoring (SHM) and non-destructive evaluation (NDE) applications. High …
Sparse representations and compressive sampling approaches in engineering mechanics: A review of theoretical concepts and diverse applications
A review of theoretical concepts and diverse applications of sparse representations and
compressive sampling (CS) approaches in engineering mechanics problems is provided …
compressive sampling (CS) approaches in engineering mechanics problems is provided …
Principal force pattern and impulse response mode for structural equivalent force estimation and full-field response reconstruction
An impulse response mode-based approach is proposed in this study to estimate the
equivalent force and achieve full-field monitoring under complex loading conditions. The …
equivalent force and achieve full-field monitoring under complex loading conditions. The …
Finite element model-informed deep learning for equivalent force estimation and full-field response calculation
The measured data in structural health monitoring are discrete in space, which means that
the full-field load distribution or structural responses cannot be captured. Conventional deep …
the full-field load distribution or structural responses cannot be captured. Conventional deep …
[HTML][HTML] Indirect damage detection for bridges using sensing and temporarily parked vehicles
Due to the influence of many factors such as vehicle properties, road roughness, and
external noises, accurate indirect identification of the bridge's frequencies is challenging …
external noises, accurate indirect identification of the bridge's frequencies is challenging …