Damage identification using inverse methods Export

@article{citeulike:2271891, abstract = {This paper gives an overview of the use of inverse methods in damage detection and location, using measured vibration data. Inverse problems require the use of a model and the identification of uncertain parameters of this model. Damage is often local in nature and although the effect of the loss of stiffness may require only a small number of parameters, the lack of knowledge of the location means that a large number of candidate parameters must be included. This paper discusses a number of problems that exist with this approach to health monitoring, including modelling error, environmental effects, damage localization and regularization. {\copyright} 2006 The Royal Society.}, address = {Department of Aerospace Engineering, University of Bristol, Bristol BS8 1TR, United Kingdom}, author = {Friswell, M. I.}, citeulike-article-id = {2271891}, citeulike-linkout-0 = {http://dx.doi.org/10.1098/rsta.2006.1930}, citeulike-linkout-1 = {http://journals.royalsociety.org/content/q1817558j85r918m}, citeulike-linkout-2 = {http://www.scopus.com/record/display.url?view=extended&origin=resultslist&eid=2-s2.0-33846967823}, doi = {10.1098/rsta.2006.1930}, journal = {Philos. Trans. R. Soc. A Math. Phys. Eng. Sci.}, keywords = {inverse, method}, number = {1851}, pages = {393--410}, posted-at = {2008-11-27 03:05:03}, priority = {2}, title = {Damage identification using inverse methods}, url = {http://dx.doi.org/10.1098/rsta.2006.1930}, volume = {365}, year = {2007} }

TY - JOUR ID - citeulike:2271891 L3 - citeulike-article-id:2271891 N2 - This paper gives an overview of the use of inverse methods in damage detection and location, using measured vibration data. Inverse problems require the use of a model and the identification of uncertain parameters of this model. Damage is often local in nature and although the effect of the loss of stiffness may require only a small number of parameters, the lack of knowledge of the location means that a large number of candidate parameters must be included. This paper discusses a number of problems that exist with this approach to health monitoring, including modelling error, environmental effects, damage localization and regularization. © 2006 The Royal Society. IS - 1851 JF - Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. AD - Department of Aerospace Engineering, University of Bristol, Bristol BS8 1TR, United Kingdom EP - 410 TI - Damage identification using inverse methods VL - 365 SP - 393 KW - inverse KW - method AU - Friswell, MI PY - 2007/// UR - http://dx.doi.org/10.1098/rsta.2006.1930 ER -