Non-probabilistic wavelet method to consider uncertainties in structural damage detection

[1]  J. Bendat,et al.  Random Data: Analysis and Measurement Procedures , 1971 .

[2]  Arun Kumar Pandey,et al.  Damage detection from changes in curvature mode shapes , 1991 .

[3]  S. Mallat.  A wavelet tour of signal processing , 1998 .

[4]  Hoon Sohn,et al.  VIBRATION-BASED DAMAGE DETECTION USING STATISTICAL PROCESS CONTROL , 2001 .

[5]  David A. Nix,et al.  Vibration–based structural damage identification , 2001, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[6]  Hong Hao,et al.  Damage identification of structures with uncertain frequency and mode shape data , 2002 .

[7]  Hong Hao,et al.  Statistical damage identification of structures with frequency changes , 2003 .

[8]  Norris Stubbs,et al.  Damage identification in beam-type structures: frequency-based method vs mode-shape-based method , 2003 .

[9]  Xinqun Zhu,et al.  Structural damage detection from wavelet packet sensitivity , 2005 .

[10]  Sergey A. Nazin,et al.  Interval parameter estimation under model uncertainty , 2005 .

[11]  Krzysztof Wilde,et al.  Application of continuous wavelet transform in vibration based damage detection method for beams and plates , 2006 .

[12]  A. Miyamoto,et al.  Wavelet transform-based modal parameter identification considering uncertainty , 2006 .

[13]  Aboelmagd Noureldin,et al.  Wavelet Transform for Structural Health Monitoring: A Compendium of Uses and Features , 2006 .

[14]  A. M. R. Ribeiro,et al.  A review of vibration-based structural health monitoring with special emphasis on composite materials , 2006 .

[15]  Shirley J. Dyke,et al.  Damage Detection Accommodating Varying Environmental Conditions , 2006 .

[16]  Rong-Song He,et al.  Damage detection by a hybrid real-parameter genetic algorithm under the assistance of grey relation analysis , 2007, Eng. Appl. Artif. Intell..

[17]  Stefano Gabriele,et al.  An Interval Uncertainty Based Method for Damage Identification , 2007 .

[18]  J. Vehí,et al.  Structural assessment under uncertain parameters via interval analysis , 2008 .

[19]  X. Y. Li,et al.  Damage Identification of Structures Including System Uncertainties and Measurement Noise , 2008 .

[20]  Isaac Elishakoff,et al.  Non-probabilistic set-theoretic model for structural safety measure , 2008 .

[21]  Nicholas A J Lieven,et al.  Frequency response function shape-based methods for structural damage localisation , 2009 .

[22]  M. Chandrashekhar,et al.  Damage assessment of structures with uncertainty by using mode-shape curvatures and fuzzy logic , 2009 .

[23]  Hong Hao,et al.  Substructuring Technique for Damage Detection Using Statistical Multi-Stage Artificial Neural Network , 2010 .

[24]  Shumin Zhou,et al.  Comparison between Non-stationary Signals Fast Fourier Transform and Wavelet Analysis , 2009, 2009 International Asia Symposium on Intelligent Interaction and Affective Computing.

[25]  M. Chandrashekhar,et al.  Uncertainty handling in structural damage detection using fuzzy logic and probabilistic simulation , 2009 .

[26]  Animesh Chatterjee,et al.  Structural damage assessment in a cantilever beam with a breathing crack using higher order frequency response functions , 2010 .

[27]  A. Tomaszewska.  Influence of statistical errors on damage detection based on structural flexibility and mode shape curvature , 2010 .

[28]  Z. Qiu,et al.  Interval Analysis Method for Damage Identification of Structures , 2010 .

[29]  Magdalena Rucka,et al.  Damage detection in beams using wavelet transform on higher vibration modes , 2011 .

[30]  Wei Fan,et al.  Vibration-based Damage Identification Methods: A Review and Comparative Study , 2011 .

[31]  Ward Heylen,et al.  Structural damage assessment with antiresonances versus mode shapes using parallel genetic algorithms , 2011 .

[32]  A. K. Nagpal,et al.  Neural networks for prediction of deflection in composite bridges , 2012 .

[33]  Ward Heylen,et al.  Structural damage assessment under varying temperature conditions , 2012 .

[34]  Michael D. Todd,et al.  A model for quantifying uncertainty in the estimation of noise-contaminated measurements of transmissibility , 2012 .

[35]  Lei Wang,et al.  Interval Analysis Method for Structural Damage Identification Based on Multiple Load Cases , 2012 .

[36]  Damodar Maity,et al.  Damage assessment of truss structures from changes in natural frequencies using ant colony optimization , 2012, Appl. Math. Comput..

[37]  Jiangpeng Shu,et al.  The application of a damage detection method using Artificial Neural Network and train-induced vibrations on a simplified railway bridge model , 2013 .

[38]  Seung-Bok Choi,et al.  A new method for beam-damage-diagnosis using adaptive fuzzy neural structure and wavelet analysis , 2013 .

[39]  Michael D. Todd,et al.  Statistical modeling of frequency response function estimation for uncertainty quantification , 2013 .

[40]  Bijan Samali,et al.  Identification of member connectivity and mass changes on a two-storey framed structure using frequency response functions and artificial neural networks , 2013 .

[41]  Wei Xu,et al.  Identification of multiple damage in beams based on robust curvature mode shapes , 2014 .

[42]  David P. Thambiratnam,et al.  Frequency response function based damage identification using principal component analysis and pattern recognition technique , 2014 .

[43]  Maosen Cao,et al.  Crack detection in beams in noisy conditions using scale fractal dimension analysis of mode shapes , 2014 .

[44]  Azlan Adnan,et al.  Seismic damage detection of tall airport traffic control towers using wavelet analysis , 2014 .

[45]  Yong Xia,et al.  Structural damage measure index based on non-probabilistic reliability model , 2014 .

[46]  S. M. Seyedpoor,et al.  A new damage detection indicator for beams based on mode shape data , 2015 .

[47]  Mohammadreza Vafaei,et al.  Wavelet-based Damage Detection Technique via Operational Deflection Shape Decomposition , 2016 .

[48]  Zhiping Qiu,et al.  The need for introduction of non-probabilistic interval conceptions into structural analysis and design , 2016 .

[49]  Zhu Mao,et al.  Probabilistic uncertainty quantification of wavelet-transform-based structural health monitoring features , 2016, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[50]  Michael D. Todd,et al.  Uncertainty quantification for acoustic nonlinearity parameter in Lamb wave-based prediction of barely visible impact damage in composites , 2017 .

[51]  Ugo Andreaus,et al.  Experimental damage evaluation of open and fatigue cracks of multi‐cracked beams by using wavelet transform of static response via image analysis , 2017 .

[52]  Xiaojun Wang,et al.  A novel method of non-probabilistic reliability-based topology optimization corresponding to continuum structures with unknown but bounded uncertainties , 2017 .

[53]  Hong Hao,et al.  The use of a non-probabilistic artificial neural network to consider uncertainties in vibration-based-damage detection , 2017 .

[54]  Xiao Chen,et al.  Set‐membership identification technique for structural damage based on the dynamic responses with noises , 2017 .

[55]  Faramarz Khoshnoudian,et al.  Ensemble classification method for structural damage assessment under varying temperature , 2018 .