Model Validation and Uncertainty Quantification, Volume 3

1. Front Matter

   Pages i-ix

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2. Variational Coupled Loads Analysis Using the Hybrid Parametric Variation Method

   • Daniel C. Kammer, Paul Blelloch, Joel Sills

   Pages 1-18

3. Bayesian Uncertainty Quantification in the Development of a New Vibration Absorber Technology

   • Nicolas Brötz, Peter F. Pelz

   Pages 19-26

4. Comparison of Complexity Measures for Structural Health Monitoring

   • Hannah Donajkowski, Salma Leyasi, Gregory Mellos, Chuck R. Farrar, Alex Scheinker, Jin-Song Pei et al.

   Pages 27-39

5. Selection of an Adequate Model of a Piezo-Elastic Support for Structural Control in a Beam Truss Structure

   • Jonathan Lenz, Maximilian Schäffner, Roland Platz, Tobias Melz

   Pages 41-49

6. Impact Load Identification for the DROPBEAR Setup Using a Finite Input Covariance (FIC) Estimator

   • Peter Lander, Yang Wang, Jacob Dodson

   Pages 51-54

7. Real-Time Digital Twin Updating Strategy Based on Structural Health Monitoring Systems

   • Yi-Chen Zhu, David Wagg, Elizabeth Cross, Robert Barthorpe

   Pages 55-64

8. On the Fusion of Test and Analysis

   • Ibrahim A. Sever

   Pages 65-67

9. Design of an Actuation Controller for Physical Substructures in Stochastic Real-Time Hybrid Simulations

   • Nikolaos Tsokanas, B. Stojadinovic

   Pages 69-82

10. Output-Only Nonlinear Finite Element Model Updating Using Autoregressive Process

    • Juan Castiglione, Rodrigo Astroza, Saeed Eftekhar Azam, Daniel Linzell

    Pages 83-86

11. Axle Box Accelerometer Signal Identification and Modelling

    • Cyprien A. Hoelzl, Luis David Avendano Valencia, Vasilis K. Dertimanis, Eleni N. Chatzi, Marcel Zurkirchen

    Pages 87-92

12. Kalman-Based Virtual Sensing for Improvement of Service Response Replication in Environmental Tests

    • Silvia Vettori, Emilio Di Lorenzo, Roberta Cumbo, Umberto Musella, Tommaso Tamarozzi, Bart Peeters et al.

    Pages 93-106

13. Virtual Sensing of Wheel Position in Ground-Steering Systems for Aircraft Using Digital Twins

    • Mattia Dal Borgo, Stephen J. Elliott, Maryam Ghandchi Tehrani, Ian M. Stothers

    Pages 107-118

14. Assessing Model Form Uncertainty in Fracture Models Using Digital Image Correlation

    • Robin Callens, Matthias Faes, David Moens

    Pages 119-129

15. Identification of Lack of Knowledge Using Analytical Redundancy Applied to Structural Dynamic Systems

    • Jakob Hartig, Florian Hoppe, Daniel Martin, Georg Staudter, Tugrul Öztürk, Reiner Anderl et al.

    Pages 131-138

16. A Structural Fatigue Monitoring Concept for Wind Turbines by Means of Digital Twins

    • János Zierath, Sven-Erik Rosenow, Johannes Luthe, Andreas Schulze, Christiane Saalbach, Manuela Sander et al.

    Pages 139-142

17. Damage Identification of Structures Through Machine Learning Techniques with Updated Finite Element Models and Experimental Validations

    • Panagiotis Seventekidis, Dimitrios Giagopoulos, Alexandros Arailopoulos, Olga Markogiannaki

    Pages 143-154

18. Modal Analyses and Meta-Models for Fatigue Assessment of Automotive Steel Wheels

    • S. Venturini, E. Bonisoli, C. Rosso, D. Rovarino, M. Velardocchia

    Pages 155-163

19. Towards the Development of a Digital Twin for Structural Dynamics Applications

    • Paul Gardner, Mattia Dal Borgo, Valentina Ruffini, Yichen Zhu, Aidan Hughes

    Pages 165-179

20. An Improved Optimal Sensor Placement Strategy for Kalman-Based Multiple-Input Estimation

    • Lorenzo Mazzanti, Roberta Cumbo, Wim Desmet, Frank Naets, Tommaso Tamarozzi

    Pages 181-185

Model Validation and Uncertainty Quantification, Volume 3:  Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics, 2020, the third volume of nine from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Model Validation and Uncertainty Quantification, including papers on:

Uncertainty Quantification in Material Models

Uncertainty Propagation in Structural Dynamics

Practical Applications of MVUQ

Advances in Model Validation & Uncertainty Quantification: Model Updating

Model Validation & Uncertainty Quantification: Industrial Applications

Controlling Uncertainty

Uncertainty in Early Stage Design

Modeling of Musical Instruments

Overview of Model Validation and Uncertainty

• Uncertainty Quantification
• Model Validation
• Structural Dynamics
• Conference Proceedings
• Society for Experimental Mechanics

• Department, Dandeneau Hall 211, Univ of Massachusetts, Mechanical Engg, Lowell, USA

  Zhu Mao

Zhu Mao, University of Massachusetts Lowell, MA, USA; Ramin Madadshahian, Occidental Petroleum Corporation,  TX, USA.​

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