Structural system identification by measurement error‐minimizing observability method

This is the accepted version of the following article: [Lei, J, Lozano‐Galant, JA, Xu, D, Turmo, J. Structural system identification by measurement error‐minimizing observability method. Struct Control Health Monit. 2019; 26:e2425. https://doi.org/10.1002/stc.2425], which has been published in final form at https://doi.org/10.1002/stc.2425

[1]  Yozo Fujino,et al.  Investigation on a curvature‐based damage detection method using displacement under moving vehicle , 2018 .

[2]  Carmelo Gentile,et al.  Unsupervised real‐time SHM technique based on novelty indexes , 2019, Structural Control and Health Monitoring.

[3]  Antonio Visioli,et al.  Digital Control Engineering: Analysis and Design , 2009 .

[4]  F. Bakhtiari-Nejad,et al.  A structural damage detection method using static noisy data , 2005 .

[5]  Bin Yang,et al.  Health Monitoring System Developed for Tianjin 117 High-Rise Building , 2017 .

[6]  Z. Sheena,et al.  Theoretical stiffness matrix correction by using static test results , 1982 .

[7]  Eric L. Miller,et al.  Sensor Placement using Fisher Information Matrix for Robust Finite Element Model Updating , 2015 .

[8]  Tamara Nestorović,et al.  Finite element model updating using simulated annealing hybridized with unscented Kalman filter , 2016 .

[9]  Hojjat Adeli,et al.  New method for modal identification of super high‐rise building structures using discretized synchrosqueezed wavelet and Hilbert transforms , 2017 .

[10]  Il-Yoon Choi,et al.  Development of elastic damage load theorem for damage detection in a statically determinate beam , 2004 .

[11]  Mohamed Abdel-Basset Abdo,et al.  Parametric study of using only static response in structural damage detection , 2012 .

[12]  Jose Antonio Lozano-Galant,et al.  Structural system identification of thin web bridges by observability techniques considering shear deformation , 2018 .

[13]  Hyo Seon Park,et al.  An Integrative Structural Health Monitoring System for the Local/Global Responses of a Large-Scale Irregular Building under Construction , 2013, Sensors.

[14]  José Turmo Coderque,et al.  Selection of measurement sets in static structural identification of bridges using observability trees , 2015 .

[15]  Nadir Boumechra.  Damage detection in beam and truss structures by the inverse analysis of the static response due to moving loads , 2017 .

[16]  Enrique Castillo,et al.  New tool to help decision making in civil engineering , 2015 .

[17]  K. Hjelmstad,et al.  Parameter Estimation of Structures from Static Response. II: Numerical Simulation Studies , 1994 .

[18]  Dong Xu,et al.  Analysis of measurement and simulation errors in structural system identification by observability techniques , 2017 .

[19]  Jose Antonio Lozano-Galant,et al.  Constrained observability method in static structural system identification , 2018 .

[20]  Enrique Castillo,et al.  Numerical damage identification of structures by observability techniques based on static loading tests , 2016 .

[21]  Songye Zhu,et al.  Damage quantification of beam structures using deflection influence lines , 2018, Structural Control and Health Monitoring.

[22]  Masoud Sanayei,et al.  Damage assessment of structures using static test data , 1991 .

[23]  F. Vestroni,et al.  The use of modal curvatures for damage localization in beam-type structures , 2015 .

[24]  W. Zhang,et al.  Bridge-Deflection Estimation through Inclinometer Data Considering Structural Damages , 2017 .

[25]  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 .

[26]  Dong Xu,et al.  Static structural system identification for beam‐like structures using compatibility conditions , 2018 .

[27]  Enrique F. Castillo,et al.  Observability in linear systems of equations and inequalities: Applications , 2007, Comput. Oper. Res..

[28]  Achintya Haldar,et al.  Unscented Kalman filter with unknown input and weighted global iteration for health assessment of large structural systems , 2016 .

[29]  D. Kammer.  Sensor Placement for On-Orbit Modal Identification and Correlation of Large Space Structures , 1990, 1990 American Control Conference.

[30]  João Bento,et al.  Bridge deflection evaluation using strain and rotation measurements , 2013 .

[31]  Brian Brenner,et al.  Instrumentation, Nondestructive Testing, and Finite-Element Model Updating for Bridge Evaluation Using Strain Measurements , 2012 .

[32]  L. Chouinard,et al.  Wavelet-based analysis of mode shapes for statistical detection and localization of damage in beams using likelihood ratio test , 2017 .

[33]  Yi-Qing Ni,et al.  Optimal sensor placement for damage detection of bridges subject to ship collision , 2017 .

[34]  Faouzi Ghrib,et al.  Damage Identification of Euler–Bernoulli Beams Using Static Responses , 2012 .

[35]  Hyung-Jo Jung,et al.  Sequential surrogate modeling for efficient finite element model updating , 2016 .

[36]  H. Abdul Razak,et al.  Determination of damage location in RC beams using mode shape derivatives , 2006 .

[37]  Enrique F. Castillo,et al.  Application of Observability Techniques to Structural System Identification , 2013, Comput. Aided Civ. Infrastructure Eng..

[38]  Qi Xia,et al.  Genetic algorithm based optimal sensor placement for L1‐regularized damage detection , 2018, Structural Control and Health Monitoring.

[39]  Qw Yang,et al.  Structural damage localization and quantification using static test data , 2011 .