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000755565 24500 $$aIdentification methods for structural health monitoring$$h[electronic resource] /$$cEleni Chatzi, Costas Papadimitriou, editors.
000755565 264_1 $$aSwitzerland :$$bSpringer,$$c2016.
000755565 300__ $$a1 online resource (ix, 170 pages) :$$billustrations.
000755565 336__ $$atext$$btxt$$2rdacontent
000755565 337__ $$acomputer$$bc$$2rdamedia
000755565 338__ $$aonline resource$$bcr$$2rdacarrier
000755565 4901_ $$aCISM International Centre for Mechanical Sciences, Courses and lectures,$$x0254-1971 ;$$vvolume 567
000755565 504__ $$aIncludes bibliographical references and index.
000755565 5050_ $$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.
000755565 506__ $$aAccess limited to authorized users.
000755565 520__ $$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.
000755565 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed June 7, 2016).
000755565 650_0 $$aStructural health monitoring.
000755565 7001_ $$aChatzi, Eleni,$$eeditor.
000755565 7001_ $$aPapadimitriou, Costas,$$eeditor.
000755565 77608 $$iPrint version:$$aChatzi, Eleni$$tIdentification Methods for Structural Health Monitoring$$dCham : Springer International Publishing,c2016$$z9783319320755
000755565 830_0 $$aCourses and lectures ;$$vv. 567.
000755565 852__ $$bebk
000755565 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-32077-9$$zOnline Access$$91397441.1
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