Real‐time substructural identification by boundary force modeling

[1]  Lijun Liu,et al.  Identification of multistory shear buildings under unknown earthquake excitation using partial output measurements: numerical and experimental studies , 2013 .

[2]  Costas Papadimitriou,et al.  Updating robust reliability using structural test data , 2001 .

[3]  Charles R. Farrar,et al.  Influence of the Autoregressive Model Order on Damage Detection , 2011, Comput. Aided Civ. Infrastructure Eng..

[4]  Robert D. Adams,et al.  The location of defects in structures from measurements of natural frequencies , 1979 .

[5]  C. Papadimitriou,et al.  A probabilistic approach to structural model updating , 1998 .

[6]  L. M. See,et al.  Estimation of structural parameters in time domain: A substructure approach , 1991 .

[7]  R. B. Testa,et al.  Modal Analysis for Damage Detection in Structures , 1991 .

[8]  Harold W. Sorenson,et al.  Recursive fading memory filtering , 1971, Inf. Sci..

[9]  Lambros S. Katafygiotis,et al.  Probabilistic approach for modal identification using non‐stationary noisy response measurements only , 2002 .

[10]  O. S. Salawu.  Detection of structural damage through changes in frequency: a review , 1997 .

[11]  Maria Q. Feng,et al.  Output‐only damage detection using vehicle‐induced displacement response and mode shape curvature index , 2016 .

[12]  Ying Lei,et al.  Structural damage detection with limited input and output measurement signals , 2012 .

[13]  Nuno M. M. Maia,et al.  Damage detection in structures: From mode shape to frequency response function methods , 2003 .

[14]  Chung Bang Yun,et al.  Substructural identification for damage estimation of structures , 1997 .

[15]  Ka-Veng Yuen,et al.  Online updating and uncertainty quantification using nonstationary output-only measurement , 2016 .

[16]  Alison B. Flatau,et al.  Review Paper: Health Monitoring of Civil Infrastructure , 2003 .

[17]  Łukasz Jankowski,et al.  Experimental study of the substructure isolation method for local health monitoring , 2012 .

[18]  C. Liu,et al.  Substructure based structural damage detection with limited input and output measurements , 2013 .

[19]  James L. Beck,et al.  Structural Health Monitoring via Measured Ritz Vectors Utilizing Artificial Neural Networks , 2006, Comput. Aided Civ. Infrastructure Eng..

[20]  S. Law,et al.  Structural Damage Detection from Modal Strain Energy Change , 2000 .

[21]  Ka-Veng Yuen,et al.  Selection of noise parameters for Kalman filter , 2007 .

[22]  Ruigen Yao,et al.  Autoregressive statistical pattern recognition algorithms for damage detection in civil structures , 2012 .

[23]  Jian Chen,et al.  Hybrid identification method for multi-story buildings with unknown ground motion: theory , 2006 .

[24]  Lambros S. Katafygiotis,et al.  Substructure Identification and Health Monitoring Using Noisy Response Measurements Only , 2006, Comput. Aided Civ. Infrastructure Eng..

[25]  Mohammad Noori,et al.  Wavelet-Based Approach for Structural Damage Detection , 2000 .

[26]  Ka-Veng Yuen,et al.  On the complexity of artificial neural networks for smart structures monitoring , 2006 .

[27]  Ying Lei,et al.  Identification of non-linear structural parameters under limited input and output measurements , 2012 .

[28]  Pizhong Qiao,et al.  Vibration-based Damage Identification Methods: A Review and Comparative Study , 2011 .

[29]  Ka-Veng Yuen,et al.  Online estimation of noise parameters for Kalman filter , 2013 .

[30]  Akira Mita,et al.  Damage indicator defined as the distance between ARMA models for structural health monitoring , 2008 .

[31]  R. Kalman,et al.  New results in linear prediction and filtering theory Trans. AMSE , 1961 .

[32]  Chan Ghee Koh,et al.  Substructural and progressive structural identification methods , 2003 .

[33]  John E. Mottershead,et al.  Model Updating In Structural Dynamics: A Survey , 1993 .

[34]  R. Ghanem,et al.  Structural-System Identification. I: Theory , 1995 .

[35]  R. E. Kalman,et al.  New Results in Linear Filtering and Prediction Theory , 1961 .

[36]  C. Koh,et al.  Substructural Identification Method without Interface Measurement , 2003 .

[37]  Łukasz Jankowski,et al.  A substructure isolation method for local structural health monitoring , 2011 .

[38]  Ka-Veng Yuen,et al.  Real‐Time System Identification: An Algorithm for Simultaneous Model Class Selection and Parametric Identification , 2015, Comput. Aided Civ. Infrastructure Eng..

[39]  Charles R. Farrar,et al.  Classifying Linear and Nonlinear Structural Damage Using Frequency Domain ARX Models , 2002 .

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

[41]  Jerome P. Lynch,et al.  Real-time structural damage detection using wireless sensing and monitoring system , 2008 .

[42]  Ka-Veng Yuen,et al.  Novel Outlier-Resistant Extended Kalman Filter for Robust Online Structural Identification , 2015 .

[43]  Bijan Samali,et al.  Damage identification in civil engineering structures utilizing PCA‐compressed residual frequency response functions and neural network ensembles , 2011 .

[44]  A. K. Pandey,et al.  Damage Detection in Structures Using Changes in Flexibility , 1994 .

[45]  Li Zhou,et al.  An adaptive extended Kalman filter for structural damage identification , 2006 .

[46]  Wang-Ji Yan,et al.  Statistic structural damage detection based on the closed-form of element modal strain energy sensitivity , 2012 .

[47]  Shuqing Wang.  Iterative modal strain energy method for damage severity estimation using frequency measurements , 2013 .

[48]  Wang-Ji Yan,et al.  Damage Detection Method Based on Element Modal Strain Energy Sensitivity , 2010 .

[49]  Hong Hao,et al.  Vibration based damage detection using artificial neural network with consideration of uncertainties , 2007 .