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Model Validation and Uncertainty Quantification, Volume 3

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Cover of 'Model Validation and Uncertainty Quantification, Volume 3'

Table of Contents

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    Book Overview
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    Chapter 1 Experimental Validation of the Dual Kalman Filter for Online and Real-Time State and Input Estimation
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    Chapter 2 Comparison of Uncertainty in Passive and Active Vibration Isolation
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    Chapter 3 Observation DOF’s Optimization for Structural Forces Identification
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    Chapter 4 Nonlinear Structural Finite Element Model Updating Using Batch Bayesian Estimation
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    Chapter 5 A Comparative Assessment of Nonlinear State Estimation Methods for Structural Health Monitoring
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    Chapter 6 Hierarchical Bayesian Model Updating for Probabilistic Damage Identification
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    Chapter 7 Nonlinear Structural Finite Element Model Updating Using Stochastic Filtering
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    Chapter 8 Dispersion–Corrected, Operationally Normalized Stabilization Diagrams for Robust Structural Identification
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    Chapter 9 Online Damage Detection in Plates via Vibration Measurements
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    Chapter 10 Advanced Modal Analysis of Geometry Consistent Experimental Space-Time Databases in Nonlinear Structural Dynamics
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    Chapter 11 Comparison of Damage Classification Between Recursive Bayesian Model Selection and Support Vector Machine
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    Chapter 12 A Comparative Study of Mode Decomposition to Relate Next-ERA, PCA, and ICA Modes
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    Chapter 13 Comparison of Different Approaches for the Model-Based Design of Experiments
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    Chapter 14 Sensitivity Analysis for Test Resource Allocation
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    Chapter 15 Predictive Validation of Dispersion Models Using a Data Partitioning Methodology
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    Chapter 16 SICODYN Research Project: Variability and Uncertainty in Structural Dynamics
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    Chapter 17 Experimental Variability on Modal Characteristics of an In-Situ Pump
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    Chapter 18 Variability of a Bolted Assembly Through an Experimental Modal Analysis
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    Chapter 19 Bottom-Up Calibration of an Industrial Pump Model: Toward a Robust Calibration Paradigm
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    Chapter 20 Model Validation in Scientific Computing: Considering Robustness to Non-probabilistic Uncertainty in the Input Parameters
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    Chapter 21 Robust-Optimal Design Using Multifidelity Models
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    Chapter 22 Robust Modal Test Design Under Epistemic Model Uncertainties
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    Chapter 23 Clustered Parameters of Calibrated Models When Considering Both Fidelity and Robustness
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    Chapter 24 Uncertainty Propagation Combining Robust Condensation and Generalized Polynomial Chaos Expansion
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    Chapter 25 Robust Updating of Operational Boundary Conditions for a Grinding Machine
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    Chapter 26 Impact of Numerical Model Verification and Validation Within FAA Certification
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    Chapter 27 The Role of Model V&V in the Defining of Specifications
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    Chapter 28 A Perspective on the Integration of Verification and Validation into the Decision Making Process
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    Chapter 29 Model Validation and Uncertainty Quantification, Volume 3
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    Chapter 30 Bayesian Inference for Damage Detection in Unsupervised Structural Health Monitoring
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    Chapter 31 Reducing MCMC Computational Cost with a Two Layered Bayesian Approach
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    Chapter 32 Comparison of FRF Correlation Techniques
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    Chapter 33 Improved Estimation of Frequency Response Covariance
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    Chapter 34 Cross Orthogonality Check for Structures with Closely Spaced Modes
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    Chapter 35 Modeling of an Instrumented Building Subjected to Different Ground Motions
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    Chapter 36 Model Validation and Uncertainty Quantification, Volume 3
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    Chapter 37 Structural Dynamics Model Calibration and Validation of a Rectangular Steel Plate Structure
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    Chapter 38 Human Activity Recognition Using Multinomial Logistic Regression
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Title
Model Validation and Uncertainty Quantification, Volume 3
Published by
Springer International Publishing, April 2015
DOI 10.1007/978-3-319-15224-0
ISBNs
978-3-31-915223-3, 978-3-31-915224-0
Editors

Atamturktur, H. Sezer, Moaveni, Babak, Papadimitriou, Costas, Schoenherr, Tyler

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 114 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 3%
Student > Master 3 3%
Student > Bachelor 2 2%
Other 1 <1%
Student > Doctoral Student 1 <1%
Other 1 <1%
Unknown 103 90%
Readers by discipline Count As %
Engineering 10 9%
Design 1 <1%
Unknown 103 90%