000 | 03258nam a22004815i 4500 | ||
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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 |
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024 | 7 |
_a10.1007/978-3-319-32077-9 _2doi |
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_aTNKX _2bicssc |
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_aTEC009020 _2bisacsh |
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_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. |
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300 |
_aIX, 170 p. 53 illus., 39 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aCISM International Centre for Mechanical Sciences, Courses and Lectures, _x0254-1971 ; _v567 |
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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. |
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650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aBuilding Repair and Maintenance. |
700 | 1 |
_aChatzi, Eleni. _eeditor. |
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700 | 1 |
_aPapadimitriou, Costas. _eeditor. |
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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 |