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001 978-3-319-32077-9
003 DE-He213
005 20200421111853.0
007 cr nn 008mamaa
008 160525s2016 gw | s |||| 0|eng d
020 _a9783319320779
_9978-3-319-32077-9
024 7 _a10.1007/978-3-319-32077-9
_2doi
050 4 _aTH3301-3411
072 7 _aTNKX
_2bicssc
072 7 _aTEC009020
_2bisacsh
072 7 _aHOM010000
_2bisacsh
082 0 4 _a690.24
_223
245 1 0 _aIdentification Methods for Structural Health Monitoring
_h[electronic resource] /
_cedited by Eleni Chatzi, Costas Papadimitriou.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aIX, 170 p. 53 illus., 39 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aCISM International Centre for Mechanical Sciences, Courses and Lectures,
_x0254-1971 ;
_v567
505 0 _aIntroduction -- Parametric and non parametric identification methods: an overview -- Parametric methods for the treatment of nonlinear dynamics -- Bayesian parameter estimation -- Bayesian operational modal analysis -- Bayesian uncertainty quantification and propagation (UQ+P): state-of-the-art tools for linear and nonlinear structural dynamics models -- Efficient data fusion and practical considerations for structural identification -- Implementation of identification methodologies on large scale structures.
520 _aThe papers in this volume provide an introduction to well known and established system identification methods for structural health monitoring and to more advanced, state-of-the-art tools, able to tackle the challenges associated with actual implementation. Starting with an overview on fundamental methods, introductory concepts are provided on the general framework of time and frequency domain, parametric and non-parametric methods, input-output or output only techniques. Cutting edge tools are introduced including, nonlinear system identification methods; Bayesian tools; and advanced modal identification techniques (such as the Kalman and particle filters, the fast Bayesian FFT method). Advanced computational tools for uncertainty quantification are discussed to provide a link between monitoring and structural integrity assessment. In addition, full scale applications and field deployments that illustrate the workings and effectiveness of the introduced monitoring schemes are demonstrated.
650 0 _aEngineering.
650 0 _aBuilding repair.
650 0 _aBuildings
_xRepair and reconstruction.
650 1 4 _aEngineering.
650 2 4 _aBuilding Repair and Maintenance.
700 1 _aChatzi, Eleni.
_eeditor.
700 1 _aPapadimitriou, Costas.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319320755
830 0 _aCISM International Centre for Mechanical Sciences, Courses and Lectures,
_x0254-1971 ;
_v567
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-32077-9
912 _aZDB-2-ENG
942 _cEBK
999 _c56260
_d56260