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 …
Review on vibration-based structural health monitoring techniques and technical codes
Y Yang, Y Zhang, X Tan - Symmetry, 2021 - mdpi.com
Structural damages occur in modern structures during operations due to environmental and
human factors. The damages accumulating with time may lead to a significant decrease in …
human factors. The damages accumulating with time may lead to a significant decrease in …
A novel deep learning-based method for damage identification of smart building structures
In the past few years, intelligent structural damage identification algorithms based on
machine learning techniques have been developed and obtained considerable attentions …
machine learning techniques have been developed and obtained considerable attentions …
Wavelet support vector machine-based prediction model of dam deformation
H Su, X Li, B Yang, Z Wen - Mechanical Systems and Signal Processing, 2018 - Elsevier
Considering the strong nonlinear dynamic characteristics of dam deformation, the prediction
model of dam deformation is investigated. Support vector machine (SVM) is combined with …
model of dam deformation is investigated. Support vector machine (SVM) is combined with …
A review of output-only structural mode identification literature employing blind source separation methods
Output-only modal identification has seen significant activity in recent years, especially in
large-scale structures where controlled input force generation is often difficult to achieve …
large-scale structures where controlled input force generation is often difficult to achieve …
An artificial neural network methodology for damage detection: Demonstration on an operating wind turbine blade
This study presents a novel artificial neural network (ANN) based methodology within a
vibration-based structural health monitoring framework for robust damage detection. The …
vibration-based structural health monitoring framework for robust damage detection. The …
Parametric identification of Timoshenko-beam model for shear-wall structures using monitoring data
The feasible modeling of the shear-flexure coupling behavior of a shear wall is desired and
needed for long-term structural health monitoring of shear-wall structures. To address this …
needed for long-term structural health monitoring of shear-wall structures. To address this …
An adaptive‐passive retuning device for a pendulum tuned mass damper considering mass uncertainty and optimum frequency
A tuned mass damper (TMD) is one of the most used structural control devices. However, a
traditional TMD has the disadvantage of high sensitivity to frequency deviation and difficulty …
traditional TMD has the disadvantage of high sensitivity to frequency deviation and difficulty …
Computer vision‐based real‐time cable tension estimation algorithm using complexity pursuit from video and its application in Fred‐Hartman cable‐stayed bridge
Real‐time health monitoring of stay cables in cable‐stayed bridges is necessary for timely
maintenance and to avoid unforeseen fatigue damage due to vortex‐induced vibration …
maintenance and to avoid unforeseen fatigue damage due to vortex‐induced vibration …
Real time structural modal identification using recursive canonical correlation analysis and application towards online structural damage detection
A novel reference free approach for identifying structural modal parameters using recursive
canonical correlation analysis (RCCA) is proposed in this paper. Using first order eigen …
canonical correlation analysis (RCCA) is proposed in this paper. Using first order eigen …