Energy-based damage index for concentrically braced steel structure using continuous wavelet transform

Rajeev, Pathmanathan; Wijesundara, K. K.

doi:10.1016/j.jcsr.2014.09.011

Cited by 26 publications

(5 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Over the past decades, several research studies were aimed at proposing different DIs to quantify the structural damage under earthquake ground motions. [66][67][68][69][70] The DI is categorized into local DI, defined for structural elements, and global DI, defined for the entire structure. While various cumulative damage models such as Park and Ang's damage model 58 have been proposed, many of which do not take account of strength and stiffness degradation as well as increasing the deformations of structures leading to collapse.…”

Section: Damage Indexmentioning

confidence: 99%

Damage detection of steel moment frames under earthquake excitation

Ebrahimi

Mohammadi

2020

Struct Control Health Monit

View full text Add to dashboard Cite

Summary This paper investigates the effects of uncertainties and modeling errors on the performance of nonlinear updating process through an experimental study on two 1/8‐scale four‐story steel moment‐resisting frames. To examine the accuracyo of the models calibrated using different data features and modeling assumptions, the actual structural responses obtained from shaking table tests and the response of the models have been compared. The modeling uncertainties are investigated by applying frames with different modeling assumptions, including concentrated and distributed plasticity, and different hysteretic material behaviors. To calibrate the models, four data features are considered and combined: (1) acceleration time history, (2) displacement time history, (3) instantaneous characteristics of the decomposed monocomponent of the response, and (4) dissipated energy. In this paper, a sensitivity analysis has been performed to investigate the effect of various parameters of hysteretic materials on the response of reference steel moment‐resisting frames. To this end, the optimum values of the unknown parameters are determined through minimizing the objective function defined based on the residuals of data features for the actual structure and finite element (FE) model. By comparing the structural responses of the model with concentrated plasticity calibrated by instantaneous characteristics with those of the other models, it can be concluded that the concentrated plasticity model predicts a more accurate response compared to the other models. Consequently, the aleatory uncertainty was taken into account by evaluating the performance of the system with concentrated plasticity under 40 seismic ground motions, and the structural response has been obtained through the calibrated model.

show abstract

Section: Damage Indexmentioning

confidence: 99%

Damage detection of steel moment frames under earthquake excitation

Ebrahimi

Mohammadi

2020

Struct Control Health Monit

View full text Add to dashboard Cite

show abstract

“…Wavelet features are computed using discrete wavelet transform (DWT) from the vibration signals of centrifugal pumps by Muralidharan and Sugumaran [20]. The seismic damage level of a structure is assessed using damage indices and the continuous wavelet transformation (CWT) technique is applied to compute the dissipated energy during ground shaking by Rajeev and Wijesundara [21]. Li et al [22] review some important developments in TDLAS (tunable diode laser absorption spectroscopy), from its basic principles as a spectroscopic tool to the demonstration of gas absorption measurements, emphasizing signal enhancement and noise reduction techniques developed for improving current TDLAS performance.…”

Section: Related Workmentioning

confidence: 99%

Condition Monitoring and Fault Diagnosis for an Antifalling Safety Device

Yang

Liang

2015

Shock and Vibration

View full text Add to dashboard Cite

There is a constant need for the safe operation and reliability of antifalling safety device (AFSD) of an elevator. This paper reports an experimental study on rotation speed and catching torque monitoring and fault diagnosis of an antifalling safety device in a construction elevator. Denoising the signal using wavelet transform is presented in this paper. Based on the denoising effects for several types of wavelets, the sym8 wavelet basis, which introduces the high order approximation and an adaptive threshold, is employed for denoising the signal. The experimental result shows a maximum data error reduction of 7.5% is obtained and SNRs (signal-to-noise ratio) of rotation speed and catching torque are improved for 3.9% and 6.4%, respectively.

show abstract

“…The wavelet analysis is one of the most popular signal processing techniques that has been successfully applied for many applications, including the vibration analysis, image analysis and communication systems 20,21 . Many researchers have reported the application of wavelet analysis to examine the vibration signals of rotating machinery 22–26 .…”

Section: Introductionmentioning

confidence: 99%

“…19 The wavelet analysis is one of the most popular signal processing techniques that has been successfully applied for many applications, including the vibration analysis, image analysis and communication systems. 20,21 Many researchers have reported the application of wavelet analysis to examine the vibration signals of rotating machinery. [22][23][24][25][26] A comprehensive review of the wavelet analysis application for rotating machinery fault diagnostics can be found in Yan et al 27 The vibration signal from rotating machinery is often considered non-stationary and non-linear.…”

Section: Introductionmentioning

confidence: 99%

Distributed optical fibre sensor for condition monitoring of mining conveyor using wavelet transform and artificial neural network

Wijaya

Rajeev

Gad

et al. 2021

Structural Contr & Hlth

View full text Add to dashboard Cite

Condition monitoring of mining conveyors is highly essential, not only to reduce economic loss due to sudden component breakdown but also to prevent safety risks to maintenance personnel. The vibration measurement by means of Distributed Optical Fibre Sensors (DOFS) is a potential solution to provide cost-effective real-time monitoring of mining conveyors. However, an effective application of detecting early damage and damage progression mainly depends on collection quality of optical signal and robust signal processing methods. Therefore, this study focuses on the identification of an effective signal processing method for real-time monitoring of mining conveyor systems. A prototype conveyor system with various levels of idler damages was built to run experimental tests and to collect optical signals for further analysis. A wavelet-based damage detection method is proposed, and its efficiency is evaluated. Additionally, Artificial Neural Network (ANN) is integrated to develop a smart fault detection technology for fast detection and damage classification. The proposed method has 99% accuracy in classify damage condition under varying coveyor operating speed.

show abstract

Energy-based damage index for concentrically braced steel structure using continuous wavelet transform

Cited by 26 publications

References 24 publications

Damage detection of steel moment frames under earthquake excitation

Damage detection of steel moment frames under earthquake excitation

Condition Monitoring and Fault Diagnosis for an Antifalling Safety Device

Distributed optical fibre sensor for condition monitoring of mining conveyor using wavelet transform and artificial neural network

Contact Info

Product

Resources

About