Multi-stage identification scheme for detecting damage in structures under ambient excitations

QR Code

Multi-stage identification scheme for detecting damage in structures under ambient excitations

Structural damage identification methods are critical to the successful application of structural health monitoring (SHM) systems to civil engineering structures. The dynamic response of civil engineering structures is usually characterized by high nonlinearity and non-stationarity. Accordingly, an...

Full description

Bibliographic Details
Main Authors:	Bao, C., Hao, Hong, Li, Z.
Format:	Journal Article
Published:	Institute of Physics Publishing 2013
Online Access:	http://hdl.handle.net/20.500.11937/24102

Similar Items

Wavelet-based damage identification of structures under unknown support excitations
by: Li, Jun, et al.
Published: (2014)

Structure damage detection using neural network with multi-stage substructuring
by: Bakhary, N., et al.
Published: (2010)

Damage Identification and Optimal Sensor Placement for Structures under Unknown Traffic-Induced Vibrations
by: Li, Jun, et al.
Published: (2015)

Damage identification scheme based on compressive sensing
by: Wang, Ying, et al.
Published: (2013)

Substructuring technique for damage detection using statistical multi-stage artificial neural network
by: Bakhary, N., et al.
Published: (2010)

Damage detection in bridge structures under moving loads with phase trajectory change of multi-type vibration measurements
by: Zhang, W., et al.
Published: (2017)

Damage identification of a target substructure with moving load excitation
by: Li, Jun, et al.
Published: (2012)

Integrated ARMA model method for damage detection of subsea pipeline system
by: Bao, C., et al.
Published: (2013)

Using multi-type sensor measurements for damage detection of shear connectors in composite bridges under moving loads
by: Fan, X., et al.
Published: (2017)

Damage identification of slab–girder structures: experimental studies
by: Wang, Y., et al.
Published: (2013)

Structural damage identification using improved Jaya algorithm based on sparse regularization and Bayesian inference
by: Ding, Z., et al.
Published: (2019)

Using sparse regularization and impedance sensitivity for structural damage detection
by: Fan, X., et al.
Published: (2017)

Structural damage identification with extracted impulse response functions and optimal sensor locations
by: Li, Jun, et al.
Published: (2015)

Structural damage identification with power spectral density transmissibility: Numerical and experimental studies
by: Li, Jun, et al.
Published: (2015)

Structural damage identification with uncertain modelling error and measurement noise by clustering based tree seeds algorithm
by: Ding, Z., et al.
Published: (2019)

Improved damage identification in bridge structures subject to moving loads: Numerical and experimental studies
by: Li, Jun, et al.
Published: (2013)

Damage detection of shear link conditions with multi-type measurements
by: Li, Jun, et al.
Published: (2016)

Identification of Minor Structural Damage Based on Electromechanical Impedance Sensitivity and Sparse Regularization
by: Fan, X., et al.
Published: (2018)

A study of variability and applicability of various signal processing techniques in structural system identification
by: Bao, C., et al.
Published: (2013)

Damage Detection in Initially Nonlinear Structures Based on Variational Mode Decomposition
by: Xin, Y., et al.
Published: (2020)

Structural damage identification based on autoencoder neural networks and deep learning
by: Pathirage, C., et al.
Published: (2018)

Impedance resonant frequency sensitivity based structural damage identification with sparse regularization: experimental studies
by: Fan, X., et al.
Published: (2019)

Substructure damage identification based on wavelet-domain response reconstruction
by: Li, Jun, et al.
Published: (2014)

Damage detection of shear connectors in bridge structures with transmissibility in frequency domain
by: Li, Jun, et al.
Published: (2014)

Sensor placement for structural damage detection considering measurement uncertainties
by: Zhou, X., et al.
Published: (2013)

Detection of minor damage in structures with guided wave signals and nonlinear oscillator
by: Zhang, W., et al.
Published: (2017)

Structural damage detection based on the reconstructed phase space for reinforced concrete slab: Experimental study
by: Nie, Z., et al.
Published: (2013)

Numerical simulation of pounding damage to bridge structures under spatially varying ground motions
by: Bi, Kaiming, et al.
Published: (2013)

Numerical and theoretical study of concrete spall damage under blast loads
by: Li, Jun, et al.
Published: (2014)

Development and application of a deep learning–based sparse autoencoder framework for structural damage identification
by: Pathirage, C., et al.
Published: (2019)

Damage detection of shear connectors based on power spectral density transmissibility
by: Li, Jun, et al.
Published: (2013)

Condition monitoring of shear connection under ambient vibrations with relative displacements
by: Li, Jun, et al.
Published: (2014)

Experimental study of multi-layer folded truncated structures under dynamic crushing
by: Li, Z., et al.
Published: (2019)

Damage detection of bridge structures under changing environmental and operational conditions
by: Soo Lon Wah, William Soo Pow Kune
Published: (2019)

Substructural Damage Detection With Incomplete Information of the Structure
by: Li, Jun, et al.
Published: (2012)

Identification of fluid excitation in pipes
by: Haqqi, Syed Imad ul Haq
Published: (2016)

Multi-resident activity recognition using multi-label classification in ambient sensing smart homes
by: Jethanandani, Manan, et al.
Published: (2019)

Influence of infilled masonry wall on vibration properties and dynamic responses of building structures to earthquake ground excitations
by: Hao, Hong
Published: (2013)

Experimental study of concrete damage under high hydrostatic pressure
by: Cui, J., et al.
Published: (2017)

Structural damage identification based on modified Artificial Bee Colony algorithm using modal data
by: Ding, Z., et al.
Published: (2017)

Cannot write session to /tmp/vufind_sessions/sess_i9g9iunkchrbbbkavf24sm5pco