Structural damage identification with uncertain modelling error and measurement noise by clustering based tree seeds algorithm

QR Code

Structural damage identification with uncertain modelling error and measurement noise by clustering based tree seeds algorithm

This paper proposes a novel structural damage identification approach by using the clustering based Tree Seeds Algorithm, termed as C-TSA, taking into account of both the finite element modeling errors and measurement noise. In order to make the standard TSA more powerful and robust, K-means cluster...

Full description

Bibliographic Details
Main Authors:	Ding, Z., Li, Jun, Hao, Hong, Lu, Z.
Format:	Journal Article
Published:	Pergamon 2019
Online Access:	http://hdl.handle.net/20.500.11937/73762

Similar Items

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

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

Probabilistic Structural Damage Identification with Uncertain Data by Deep Learning Techniques
by: Zhong, Yue
Published: (2024)

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

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

Spectral element model updating for damage identification using clonal selection algorithm
by: Wang, Y., et al.
Published: (2011)

Multi-stage identification scheme for detecting damage in structures under ambient excitations
by: Bao, C., et al.
Published: (2013)

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

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

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

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)

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

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

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

Damage identification of shear connectors with wavelet packet energy: Laboratory test study
by: Ren, W., et al.
Published: (2008)

Removing impulse noise images by using decision tree algorithm
by: Sethu, Devika, et al.
Published: (2007)

Substructure damage identification based on response reconstruction in frequency domain and model updating
by: Li, Jun, et al.
Published: (2012)

Structural damage detection considering sensor performance degradation and measurement noise effect
by: Ma, S., et al.
Published: (2019)

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

Damage evaluation of the steel tubular column subjected to explosion and post-explosion fire condition
by: Ding, Y., 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)

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

Time-varying system identification using a newly improved HHT algorithm
by: Bao, C., et al.
Published: (2009)

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

Operational structural damage identification using de-noised modal feature in machine learning / Chen Shilei
by: Chen , Shilei
Published: (2021)

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

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

Damage identification in a substructure of a box-section girder
by: Li, Jun, et al.
Published: (2011)

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

Constrained control of uncertain nonhomogeneous Markovian jump systems
by: Yin, YanYan, et al.
Published: (2017)

The uncertain journey
by: Keane, Michael
Published: (2010)

Influence of uncertain source parameters on strong ground motion simulation with the empirical green's function method
by: Liang, J., et al.
Published: (2009)

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

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

Noise source identification
by: Danial, Mohamed
Published: (2014)

Damage assessment of shear connectors with vibration measurements and power spectral density transmissibility
by: Li, Jun, et al.
Published: (2015)

The effects of seed damage on crop production
by: Chin, Hoong Fong
Published: (1975)

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

Identification of typical load profiles using K-means clustering algorithm
by: Azad, S., et al.
Published: (2014)