Vibration-Based Damage Identification in Structures Exhibiting Axial and Torsional Response

Duffey, T.A.; Doebling, Scott W.; Farrar, Charles R.; Baker, William E.; Rhee, Wook

doi:10.1115/1.1320445

Cited by 41 publications

(34 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A mass-spring system of eight degrees of freedom [9] is taken as an example to validate the proposed algorithm. The mass of block 1 is 559.3 g, while that of block 2-7 is 419.4 g. The stiffness value of all the springs is 56.7 kN/m.…”

Section: Model Descriptionmentioning

confidence: 99%

Hierarchical Bayesian Estimation of System Parameters from Dynamic Responses

Yang¹,

Zhang²

2018

dtcse

View full text Add to dashboard Cite

Abstract.A hierarchical Bayesian approach is proposed for estimating system parameters by directly taking dynamic responses as the fixed target. The basic theories of hierarchical Bayesian model are first introduced, and then the estimation process of system parameters is illustrated. A mass-spring system of eight degrees of freedom is studied to validate the proposed method, and the effects of modeling errors, incompleteness of dynamic response data and measurement noise on the identification results are numerically investigated. The research results show that the proposed method can accurately identify physical parameters of the system with random modeling errors and measurement noise from only several dynamic responses of the system. This method can provide a new way for parameter estimation of the system with modeling errors, incompleteness of dynamic response data and serous pollution of measurement noise.

show abstract

Section: Model Descriptionmentioning

confidence: 99%

Hierarchical Bayesian Estimation of System Parameters from Dynamic Responses

Yang¹,

Zhang²

2018

dtcse

View full text Add to dashboard Cite

show abstract

“…The 8-DOFs mass-spring system which tested by Duffey et al [30] is formed with eight translating masses connected by springs. The analytical and experimental models of the 8-DOFs mass-spring system are presented in Figure 16 and Figure 17, respectively.…”

Section: Experimental Studymentioning

confidence: 99%

“…The nominal values of the system parameters are as follows: m1= 559.6 g (This mass is located at the end and is greater than others because the hardware requires attaching the shaker), m2 through m8 =419.5 g and spring constants are 56.7 kN/m. Damage is simulated by replacing an original spring with another spring which has a spring constant 14% less than that of original in spring 5 [30].…”

Section: Experimental Studymentioning

confidence: 99%

An effective approach for structural damage localization in flexural members based on generalized S-transform

2017

View full text Add to dashboard Cite

This paper presents a method for structural damage localization based on signal processing using generalized S-transform (S GS ). The S-transform is the combinations of the properties of the short-time Fourier transform (STFT) and wavelet transform (WT) that has been developed over the last few years in an attempt to overcome inherent limitations of the wavelet and short time Fourier transform in Time-Frequency representation of non-stationary signals. The generalized type of this transform is the S GS -transform that has adjustable Gaussian window width in the time-frequency representation of signals. In this research, the S GS -transform has been employed due to its favorable performance in detection of the structural damages. The performance of the proposed method has been verified by means of three numerical examples and also the experimental data obtained from the vibration test of 8-DOFs mass-stiffness system. By way of the comparison between damage location obtained from the proposed method and simulation model, it was concluded that the method is sensitive to the damage existence and clearly demonstrates the damage location.

show abstract

“…The DIM was advanced by Cornwell et al [61] to allow the application to be extended to 2-Dimensional (2-D) bending structures and again by Duffey et al [62] for structures exhibiting axial and torsional responses, although these methods require many more sensors and deviate from the original curvature-flexural stiffness relationship (Equation (2)). …”

Section: Modal Strain Energymentioning

confidence: 99%

A State of the Art Review of Modal-Based Damage Detection in Bridges: Development, Challenges, and Solutions

2017

View full text Add to dashboard Cite

Abstract:Traditionally, damage identification techniques in bridges have focused on monitoring changes to modal-based Damage Sensitive Features (DSFs) due to their direct relationship with structural stiffness and their spatial information content. However, their progression to real-world applications has not been without its challenges and shortcomings, mainly stemming from: (1) environmental and operational variations; (2) inefficient utilization of machine learning algorithms for damage detection; and (3) a general over-reliance on modal-based DSFs alone. The present paper provides an in-depth review of the development of modal-based DSFs and a synopsis of the challenges they face. The paper then sets out to addresses the highlighted challenges in terms of published advancements and alternatives from recent literature.

show abstract

Vibration-Based Damage Identification in Structures Exhibiting Axial and Torsional Response

Cited by 41 publications

References 7 publications

Hierarchical Bayesian Estimation of System Parameters from Dynamic Responses

Hierarchical Bayesian Estimation of System Parameters from Dynamic Responses

An effective approach for structural damage localization in flexural members based on generalized S-transform

A State of the Art Review of Modal-Based Damage Detection in Bridges: Development, Challenges, and Solutions

Contact Info

Product

Resources

About