語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Experimental vibration analysis for ...
~
International Conference on Experimental Vibration Analysis for Civil Engineering Structures (2023 :)
FindBook
Google Book
Amazon
博客來
Experimental vibration analysis for civil engineering structures = EVACES 2023.. Volume 2 /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Experimental vibration analysis for civil engineering structures/ edited by Maria Pina Limongelli ... [et al.].
其他題名:
EVACES 2023.
其他題名:
EVACES 2023
其他作者:
Limongelli, Maria Pina.
團體作者:
International Conference on Experimental Vibration Analysis for Civil Engineering Structures
出版者:
Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:
xx, 763 p. :ill. (some col.), digital ;24 cm.
內容註:
Optimization of structural health monitoring for bridges networks by combining traditional and innovative techniques -- Value of Seismic Structural Health Monitoring Information for management of civil structures under different prior knowledge scenarios -- On the modeling of multi-sensors vibration-based monitoring systems and integrity management -- Efficient subspace-based operational modal analysis using video-based vibration measurements -- Model order selection for uncertainty quantification in subspace-based OMA of Vestas V27 blade -- Modal Analysis of a Steel Truss Bridge under Varying Environmental Conditions -- Linear System Identification and Bayesian Model Updating of the UC San Diego Geisel Library -- FE model updating of cable-stayed bridges based on the experimental estimate of cable forces and modal parameters -- Physics-based and machine-learning models for braking impact factors -- Dynamic tests with hard braking heavy vehicles on a motorway bridge -- Determining braking forces on bridges using monitored traffic data and stochastic simulation -- Fusing modal parameters and curvature influence lines for damage localization under vehicle excitation -- An Unsupervised Learning Method for Indirect Bridge Structural Health Monitoring -- Using contact residual responses of a 3-DOF scooter to identify first few frequencies of the footbridge -- Automatic drive-by bridge damage detection via a clustering algorithm -- A Drive-by Bridge Damage Localisation Method with an Instrumented Vehicle -- A Data-Driven Approach for Monitoring Railway Tracks using Dynamic Responses Collected by an In-Service Train -- Bridge response fusion drive-by-bridge inspection by means of model updates -- Drive-by Bridge Deflection Estimating Method Based on Track Irregularities Measured on a Train: Extension to Multiple Bridge Sections -- Roadway roughness profile identification from vehicle acceleration by means of dynamic regularized least square minimization.
Contained By:
Springer Nature eBook
標題:
Structural dynamics - Congresses. -
電子資源:
https://doi.org/10.1007/978-3-031-39117-0
ISBN:
9783031391170
Experimental vibration analysis for civil engineering structures = EVACES 2023.. Volume 2 /
Experimental vibration analysis for civil engineering structures
EVACES 2023.Volume 2 /[electronic resource] :EVACES 2023edited by Maria Pina Limongelli ... [et al.]. - Cham :Springer Nature Switzerland :2023. - xx, 763 p. :ill. (some col.), digital ;24 cm. - Lecture notes in civil engineering,v. 4332366-2565 ;. - Lecture notes in civil engineering ;v. 433..
Optimization of structural health monitoring for bridges networks by combining traditional and innovative techniques -- Value of Seismic Structural Health Monitoring Information for management of civil structures under different prior knowledge scenarios -- On the modeling of multi-sensors vibration-based monitoring systems and integrity management -- Efficient subspace-based operational modal analysis using video-based vibration measurements -- Model order selection for uncertainty quantification in subspace-based OMA of Vestas V27 blade -- Modal Analysis of a Steel Truss Bridge under Varying Environmental Conditions -- Linear System Identification and Bayesian Model Updating of the UC San Diego Geisel Library -- FE model updating of cable-stayed bridges based on the experimental estimate of cable forces and modal parameters -- Physics-based and machine-learning models for braking impact factors -- Dynamic tests with hard braking heavy vehicles on a motorway bridge -- Determining braking forces on bridges using monitored traffic data and stochastic simulation -- Fusing modal parameters and curvature influence lines for damage localization under vehicle excitation -- An Unsupervised Learning Method for Indirect Bridge Structural Health Monitoring -- Using contact residual responses of a 3-DOF scooter to identify first few frequencies of the footbridge -- Automatic drive-by bridge damage detection via a clustering algorithm -- A Drive-by Bridge Damage Localisation Method with an Instrumented Vehicle -- A Data-Driven Approach for Monitoring Railway Tracks using Dynamic Responses Collected by an In-Service Train -- Bridge response fusion drive-by-bridge inspection by means of model updates -- Drive-by Bridge Deflection Estimating Method Based on Track Irregularities Measured on a Train: Extension to Multiple Bridge Sections -- Roadway roughness profile identification from vehicle acceleration by means of dynamic regularized least square minimization.
This volume presents peer-reviewed contributions from the 10th International Conference on Experimental Vibration Analysis for Civil Engineering Structures (EVACES), held in Milan, Italy on August 30-September 1, 2023. The event brought together engineers, scientists, researchers, and practitioners, providing a forum for discussing and disseminating the latest developments and achievements in all major aspects of dynamic testing for civil engineering structures, including instrumentation, sources of excitation, data analysis, system identification, monitoring and condition assessment, in-situ and laboratory experiments, codes and standards, and vibration mitigation. The topics included but were not limited to: damage identification and structural health monitoring; testing, sensing and modeling; vibration isolation and control; system and model identification; coupled dynamical systems (including human-structure, vehicle-structure, and soil-structure interaction); and application of advanced techniques involving the Internet of Things, robot, UAV, big data and artificial intelligence.
ISBN: 9783031391170
Standard No.: 10.1007/978-3-031-39117-0doiSubjects--Topical Terms:
664540
Structural dynamics
--Congresses.
LC Class. No.: TA654
Dewey Class. No.: 624.171
Experimental vibration analysis for civil engineering structures = EVACES 2023.. Volume 2 /
LDR
:04213nmm a2200349 a 4500
001
2333920
003
DE-He213
005
20230828050415.0
006
m d
007
cr nn 008maaau
008
240402s2023 sz s 0 eng d
020
$a
9783031391170
$q
(electronic bk.)
020
$a
9783031391163
$q
(paper)
024
7
$a
10.1007/978-3-031-39117-0
$2
doi
035
$a
978-3-031-39117-0
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TA654
072
7
$a
TGMD4
$2
bicssc
072
7
$a
TEC009070
$2
bisacsh
072
7
$a
TGMD
$2
thema
082
0 4
$a
624.171
$2
23
090
$a
TA654
$b
.I61 2023
111
2
$a
International Conference on Experimental Vibration Analysis for Civil Engineering Structures
$n
(10th :
$d
2023 :
$c
Milan, Italy)
$3
3663502
245
1 0
$a
Experimental vibration analysis for civil engineering structures
$h
[electronic resource] :
$b
EVACES 2023.
$n
Volume 2 /
$c
edited by Maria Pina Limongelli ... [et al.].
246
3
$a
EVACES 2023
260
$a
Cham :
$b
Springer Nature Switzerland :
$b
Imprint: Springer,
$c
2023.
300
$a
xx, 763 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
490
1
$a
Lecture notes in civil engineering,
$x
2366-2565 ;
$v
v. 433
505
0
$a
Optimization of structural health monitoring for bridges networks by combining traditional and innovative techniques -- Value of Seismic Structural Health Monitoring Information for management of civil structures under different prior knowledge scenarios -- On the modeling of multi-sensors vibration-based monitoring systems and integrity management -- Efficient subspace-based operational modal analysis using video-based vibration measurements -- Model order selection for uncertainty quantification in subspace-based OMA of Vestas V27 blade -- Modal Analysis of a Steel Truss Bridge under Varying Environmental Conditions -- Linear System Identification and Bayesian Model Updating of the UC San Diego Geisel Library -- FE model updating of cable-stayed bridges based on the experimental estimate of cable forces and modal parameters -- Physics-based and machine-learning models for braking impact factors -- Dynamic tests with hard braking heavy vehicles on a motorway bridge -- Determining braking forces on bridges using monitored traffic data and stochastic simulation -- Fusing modal parameters and curvature influence lines for damage localization under vehicle excitation -- An Unsupervised Learning Method for Indirect Bridge Structural Health Monitoring -- Using contact residual responses of a 3-DOF scooter to identify first few frequencies of the footbridge -- Automatic drive-by bridge damage detection via a clustering algorithm -- A Drive-by Bridge Damage Localisation Method with an Instrumented Vehicle -- A Data-Driven Approach for Monitoring Railway Tracks using Dynamic Responses Collected by an In-Service Train -- Bridge response fusion drive-by-bridge inspection by means of model updates -- Drive-by Bridge Deflection Estimating Method Based on Track Irregularities Measured on a Train: Extension to Multiple Bridge Sections -- Roadway roughness profile identification from vehicle acceleration by means of dynamic regularized least square minimization.
520
$a
This volume presents peer-reviewed contributions from the 10th International Conference on Experimental Vibration Analysis for Civil Engineering Structures (EVACES), held in Milan, Italy on August 30-September 1, 2023. The event brought together engineers, scientists, researchers, and practitioners, providing a forum for discussing and disseminating the latest developments and achievements in all major aspects of dynamic testing for civil engineering structures, including instrumentation, sources of excitation, data analysis, system identification, monitoring and condition assessment, in-situ and laboratory experiments, codes and standards, and vibration mitigation. The topics included but were not limited to: damage identification and structural health monitoring; testing, sensing and modeling; vibration isolation and control; system and model identification; coupled dynamical systems (including human-structure, vehicle-structure, and soil-structure interaction); and application of advanced techniques involving the Internet of Things, robot, UAV, big data and artificial intelligence.
650
0
$a
Structural dynamics
$x
Congresses.
$3
664540
650
1 4
$a
Multibody Systems and Mechanical Vibrations.
$3
3595519
650
2 4
$a
Structural Materials.
$3
898417
650
2 4
$a
Building Construction and Design.
$3
3166685
650
2 4
$a
Internet of Things.
$3
3538511
700
1
$a
Limongelli, Maria Pina.
$3
3409062
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
830
0
$a
Lecture notes in civil engineering ;
$v
v. 433.
$3
3665050
856
4 0
$u
https://doi.org/10.1007/978-3-031-39117-0
950
$a
Engineering (SpringerNature-11647)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9460125
電子資源
11.線上閱覽_V
電子書
EB TA654
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入