東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Building Repair and Maintenance." ]

切換: 標籤 | MARC模式 | ISBD

Identification methods for structura...

Chatzi, Eleni N.

FindBook

Google Book

Amazon

博客來

Identification methods for structural health monitoring

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Identification methods for structural health monitoring/ edited by Eleni N. Chatzi, Costas Papadimitriou.
其他作者:	Chatzi, Eleni N.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	ix, 170 p. :ill. (some col.), digital ;24 cm.
內容註:	Introduction -- 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.
Contained By:	Springer eBooks
標題:	Structural health monitoring. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-32077-9
ISBN:	9783319320779

Identification methods for structural health monitoring
Identification methods for structural health monitoring[electronic resource] /edited by Eleni N. Chatzi, Costas Papadimitriou. - Cham :Springer International Publishing :2016. - ix, 170 p. :ill. (some col.), digital ;24 cm. - CISM International Centre for Mechanical Sciences,v.5670254-1971 ;. - CISM International Centre for Mechanical Sciences ;v.563..

Introduction -- 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.

The 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.

ISBN: 9783319320779

Standard No.: 10.1007/978-3-319-32077-9doiSubjects--Topical Terms:

1622271
Structural health monitoring.

LC Class. No.: TA656.6

Dewey Class. No.: 624.17

Identification methods for structural health monitoring
LDR:02602nmm a2200337 a 4500 001 2038147
003 DE-He213
005 20161020092513.0
006 m d
007 cr nn 008maaau
008 161209s2016 gw s 0 eng d
020 $a 9783319320779 $q (electronic bk.)
020 $a 9783319320755 $q (paper)
024 7 $a 10.1007/978-3-319-32077-9 $2 doi
035 $a 978-3-319-32077-9
040 $a GP $c GP
041 0 $a eng
050 4 $a TA656.6
072 7 $a TNKX $2 bicssc
072 7 $a TEC009020 $2 bisacsh
072 7 $a HOM010000 $2 bisacsh
082 0 4 $a 624.17 $2 23
090 $a TA656.6 $b .I19 2016
245 0 0 $a Identification methods for structural health monitoring $h [electronic resource] / $c edited by Eleni N. Chatzi, Costas Papadimitriou.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a ix, 170 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a CISM International Centre for Mechanical Sciences, $x 0254-1971 ; $v v.567
505 0 $a Introduction -- 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 $a The 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 $a Structural health monitoring. $3 1622271
650 1 4 $a Engineering. $3 586835
650 2 4 $a Building Repair and Maintenance. $3 896667
700 1 $a Chatzi, Eleni N. $3 2195110
700 1 $a Papadimitriou, Costas. $3 2195111
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a CISM International Centre for Mechanical Sciences ; $v v.563. $3 2180074
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-32077-9
950 $a Engineering (Springer-11647)