Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics 2017

Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics 2017

Paperback(Softcover reprint of the original 1st ed. 2017)

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Product Details

ISBN-13: 9783319855035
Publisher: Springer International Publishing
Publication date: 08/01/2018
Series: Conference Proceedings of the Society for Experimental Mechanics Series
Edition description: Softcover reprint of the original 1st ed. 2017
Pages: 378
Product dimensions: 8.27(w) x 10.98(h) x (d)

Table of Contents

Chapter1. Lateral vibration attenuation of a beam with piezo-elastic supports subject to varying axial tensile and compressive loads.- Chapter2. Correlation of Non-contact Full-Field Dynamic Strain Measurements with Finite Element Predictions.- Chapter3. Nonlinear Prediction Surfaces for the Estimation of Structural Response of Naval Vessels.- Chapter4. A Case Study in Predictive Modeling Beyond the Calibration Domain.- Chapter5. A Brief Overview of Code and Solution Verification in Numerical Simulation.- Chapter6. Robust Optimization of Shunted Piezoelectric Transducers for Vibration Attenuation Considering Dierent Values of Electromechanical Coupling.- Chapter7. Parameter estimation and uncertainty quantification of mass loaded bushings using model updating.- Chapter8. Vibroacoustic modelling of piano soundboards through analytical approaches in frequency and time domains.- Chapter9. Combined Experimental and Numerical Investigation of Vibro-mechanical Properties of Varnished Wood for Stringed Instruments.- Chapter10. Towards robust sustainable system design – An engineering inspired approach.- Chapter11. Linear Parameter-Varying (LPV) buckling control of an imperfect beam-column subject to time-varying axial loads.- Chapter12. Quantification and Evaluation of Uncertainty in the Mathematical
Modelling of a Suspension Strut using Bayesian Model Validation Approach.- Chapter13. Unsupervised Novelty Detection Techniques for Structural Damage Localization: A Comparative Study.- Chapter14. Global load path adaption in a simple kinematic load-bearing structure to compensate uncertainty of misalignment due to changing stiffness conditions of the structure's supports.- Chapter15. Assessment of Uncertainty Quantification of Bolted Joint Performance.- Chapter16. Sensitivity Analysis and Bayesian Calibration for 2014 Sandia Verification and Validation Challenge Problem.- Chapter17. Non-probabilistic uncertainty evaluation in the concept phase for airplane landing gear design.- Chapter18. Modular Analysis of Complex Systems with Numerically Described Multidimensional Probability Distributions.- Chapter19. Methods for Component Mode Synthesis Model Generation for Uncertainty
Quantification.- Chapter20. Parameterization of Large Variability using the Hyper-Dual Meta-Model.- Chapter21. Similitude Analysis of the Frequency Response Function for Scaled Structures.- Chapter22. MPUQ-b: Bootstrapping based Modal Parameter Uncertainty Quantification - Fundamental Principles.- Chapter23. MPUQ-b: Bootstrapping based Modal Parameter Uncertainty Quantification – Methodology and Application.- Chapter24. Evaluation of Truck-Induced Vibrations for a Multi-Beam Highway Bridge.- Chapter25. Innovations and Info-Gaps: An Overview.- Chapter26. Bayesian optimal experimental design using asymptotic approximations.- Chapter27. Surrogate-Based Approach to Calculate the Bayes Factor.- Chapter28. Vibrational Model Updating of Electric Motor Stator for Vibration and Noise Prediction.- Chapter29. A Comparison of Computer-Vision-Based Structural Dynamics Characterizations.- Chapter30. Sequential Gauss-Newton MCMC Algorithm for High-Dimensional Bayesian Model Updating.- Chapter31. Model Calibration with Big Data.- Chapter32. Towards Reducing Prediction Uncertainties in Human Spine Finite Element Response: In-vivo Characterization of Growth and Spine Morphology.- Chapter33. Structural Damage Detection Using Convolutional Neural Networks.- Chapter34. Experimental model validation of an aero-engine casing assembly.- Chapter35. Damage Detection in Railway Bridges under Moving Train Load.- Chapter36. Multi-Fidelity Calibration of Input-Dependent Model Parameters.- Chapter37. Empirically Improving Model Adequacy in Scientific Computing.- Chapter38. Mixed geometrical-material sensitivity analysis for the study of complex phenomena in musical acoustics.- Chapter39. Experimental Examples for Identification of Structural Systems Using Degree of Freedom-Based Reduction Method.

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