Time Domain Estimation of Response and Intensity in Beams Using Wave Decomposition and Reconstruction

Mace, B.R.; Halkyard, C.R.

doi:10.1006/jsvi.1999.2630

Cited by 29 publications

(16 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To extrapolate structural responses at unmeasured locations, a class of transmissibility based approaches has been studied by some researches (Kammer 1997;Mace and Halkyard 2000;Ma et al 2001;Law et al 2011;Li and Law 2011;Limongell 2003). In these methods, responses at the target locations are reconstructed with sensor measurements at convenient locations by utilizing a transformation matrix or function.…”

Section: Introductionmentioning

confidence: 99%

Multi-Type Sensor Placement for Multi-Scale Response Reconstruction

Zhu

Zhang

et al. 2013

Advances in Structural Engineering

View full text Add to dashboard Cite

Although various types of sensors are now available to monitor a structure, measurements are usually obtained in only a few locations numbering less than the total degrees of freedom (DOFs) of the structure. The lack of structural responses of the structure at all its critical areas may hamper the effectiveness of structural monitoring. Therefore, multi-scale response reconstruction at those key structural locations where sensors are not available is essential to fully achieving the structural monitoring objectives. This paper addresses a problem of placing multi-type sensors in a structure with the objective of best reconstruction of structural responses. The types of sensors include accelerometers, displacement and strain measurement sensors, all of which are widely used in civil engineering structures. The number and locations of the three types of sensors are determined aiming to best possibly reconstruct the strain, displacement and acceleration responses, in which the Kalman filter algorithm is employed. By minimizing the overall reconstruction error variance at the locations of interest and maintaining reconstruction errors to a desired target level, the initial set of candidate sensor locations is reduced to a smaller set. The key multi-scale structural responses are reconstructed from the fusion of limited multi-type sensor data information. A simplysupported overhanging steel beam is investigated as a sample case in numerical and experimental study to investigate the effectiveness and accuracy of the presented approach. The good response reconstruction results clearly demonstrate the effectiveness of the proposed optimal placement method for multi-type sensors.

show abstract

Section: Introductionmentioning

confidence: 99%

Multi-Type Sensor Placement for Multi-Scale Response Reconstruction

Zhu

Zhang

et al. 2013

Advances in Structural Engineering

View full text Add to dashboard Cite

show abstract

“…Particularly, it copes with the dispersive and heterogeneous nature of materials, by magnifying the results of the frequency-wavenumber (f-k) transformation with the wave decomposition method. The decomposition of the wave is provided by filtering the outputs of an array of sensors: a similar technique is currently applied to wave-guided systems as beams and pipes, using two receivers [32], [33] . The assumption of constant phase velocity of asphalt layers and the assumption of non-dispersive behaviour, are lifted, supporting a paradigm-shifting approach to the assessment of surface-breaking crack in roads.…”

Section: Introductionmentioning

confidence: 99%

Thein-situevaluation of surface-breaking cracks in asphalt using a wave decomposition method

Iodice

Muggleton

Rustighi

2020

Nondestructive Testing and Evaluation

View full text Add to dashboard Cite

Assessment of the location and extension of cracking in road surfaces is important for determining the potential level of deterioration in the road and in the infrastructure buried beneath it. Damage in a pavement structure is usually initiated in the asphalt layers, making the Rayleigh wave ideally suited to the detection of shallow surface defects. However, the practical application of crack detection methods in asphalt is hampered by the dispersive behaviour of the road pavement. In fact, assessment of crack in road is usually performed assuming constant phase velocity, and its dispersive behaviour is neglected. Moreover, current methodologies for crack evaluation in asphalt do not support in-situ applications. A new digital signal processing technique for the measurement of the amplitude and phase of the direct and reflected Rayleigh waves, scattered from the boundaries of a vertical crack in asphalt, is presented in this paper for the first time. It decomposes the signal into its in-situ crack evaluation of roads, for which the road is holistically treated as a dispersive medium.

show abstract

“…The predicted responses are good even with measurement noise. The time domain response and the internal forces in beams can also be reconstructed [6] using the wave decomposition technique. The wave decomposition approach enables sensors to be optimally spaced with reduced sensitivity to noise and incorrect calibration.…”

Section: Introductionmentioning

confidence: 99%

Substructural Response Reconstruction in Wavelet Domain

Law

2011

Journal of Applied Mechanics

View full text Add to dashboard Cite

An approach for structural response reconstruction in a substructure using the unit impulse response function in the wavelet domain is presented. The forces at the interface degrees-of-freedom are taken as input excitations on the substructure. The re.sponse reconstruction is conducted by transforming the measured responses into responses at other selected locations. The response reconstruction using the propo.sed wavelet domain method is then compared with that from an existing frequency domain method. Numerical studies on a seven-story plane frame structure are carried out to investigate the accuracy and effectiveness of the proposed method, and the effects of influencing parameters such as the number of sampled data, sampling rate, sensor numbers, and measurement noise are studied.

show abstract

Time Domain Estimation of Response and Intensity in Beams Using Wave Decomposition and Reconstruction

Cited by 29 publications

References 5 publications

Multi-Type Sensor Placement for Multi-Scale Response Reconstruction

Multi-Type Sensor Placement for Multi-Scale Response Reconstruction

Thein-situevaluation of surface-breaking cracks in asphalt using a wave decomposition method

Substructural Response Reconstruction in Wavelet Domain

Contact Info

Product

Resources

About