Uncertainty in Mechanical Engineering: Proceedings of the 4th International Conference on Uncertainty in Mechanical Engineering (Icume 2021), June 7-8, Pelz Peter F., Groche Peter
Описание: This book is intended for periodontal residents and practicing periodontists who wish to incorporate the principles of moderate sedation into daily practice. Comprehensive airway management and rescue skills are then documented in detail so that the patient may be properly managed in the event that the sedation progresses beyond the intended level.
Описание: 1.. Nondestructive Consolidation Assessment of Historical Camorcanna Ceilings by Scanning Laser Doppler Vibrometry;.- 2.. The Need for Credibility Guidance for Analyses Quantifying Margin and Uncertainty;.- 3.. Failure Behaviour of Composites under both Vibration and Environmental Temperature Loading Conditions;.- 4.. Verification and Validation for a Finite Element Model of a Hyperloop Pod Space Frame;.- 5.. Investigating Nonlinearities in a Demo Aircraft Structure under Sine Excitation;.- 6.. Sensor Placement for Multi-fidelity Dynamics Model Calibration;.- 7.. Application of Cumulative Prospect Theory to Optimal Inspection Decision-making for Ship Structures;.- 8.. Establishing an RMS von Mises Stress Error Bound for Random Vibration Analysis;.- 9.. A Neural Network Surrogate Model for Structural Health Monitoring of Miter Gates in Navigation Locks;.- 10.. Model Validation Strategy and Estimation of Response Uncertainty for a Bolted Structure with Model-form Errors;.- 11.. Characteristic Analysis of Dolly Rollover Test: A Study of effects of Initial Conditions on the Kinematics of the Vehicle and Occupants;.- 12.. Input Estimation of a Full-scale Concrete Frame Structure with Experimental Measurements;.- 13.. Bayesian Estimation of Acoustic Emission Arrival Times for Source Localization;.- 14.. Quantification and Evaluation of Parameter and Model Uncertainty for Passive and Active Vibration Isolation;.- 15.. Bayesian Model Updating of a Five-Story Building Using Zero-Variance Sampling Method;.- 16.. Input Estimation and Dimension Reduction for Material Models;.- 17.. Augmented Sequential Bayesian Filtering for Parameter and Modeling Error Estimation of Linear Dynamic Systems;.- 18.. On--board Monitoring of Rail Roughness via Axle box Accelerations of Revenue Trains with Uncertain Dynamics;.- 19.. Bayesian Identification of a Nonlinear Energy Sink Device: Method Comparison;.- 20.. Calibration of a Large Nonlinear Finite Element Model with Many Uncertain Parameters;.- 21.. Deep Unsupervised Learning For Condition Monitoring and Prediction of High Dimensional Data with Application on Windfarm SCADA Data;.- 22.. Influence of Furniture on the Modal Properties of Wooden Floors;.- 23.. Optimal Sensor Placement for Response Reconstruction in Structural Dynamics;.- 24.. Finite Element Model Updating Accounting for Modeling Uncertainty;.- 25.. Model-based Decision Support Methods Applied to the Conservation of Musical Instruments: Application to an Antique Cello;.- 26.. Optimal Sensor Placement for Response Predictions Using Local and Global Methods;.- 27.. Incorporating Uncertainty in the Physical Substructure during Hybrid Substructuring;.- 28.. Applying Uncertainty Quantification to Structural Systems: Parameter Reduction for Evaluating Model Complexity;.- 29.. Non-unique Estimates in Material Parameter Identification of Nonlinear FE Models Governed by Multiaxial Material Models Using Unscented Kalman Filter;.- 30.. On Key Technologies for Realising Digital Twins for Structural Dynamics Applications;.- 31.. Hygro‐mechanical Modelling of Wood and Glutin-based Bondlines of Wooden Cultural Heritage Objects;.- 32.. Modelling of Sympathetic String Vibrations in the Clavichord Using a Modal Udwadia-Kalaba Formulation;.- 33.. Modeling and Stochastic Dynamic Analysis of a Piezoelectric Shunted Rotating Beam;.- 34.. On Digital Twins, Mirrors and Virtualisations;.- 35.. Applications of Reduced Order and Surrogate Modeling in Structural Dynamics;.-
Описание: 1 Bayesian Treatment of Spatially-Varying Parameter Estimation Problems via Canonical BUS.- 2 Bayesian System Identification of Offshore Platforms.- 3 Bayesian Inference and RJMCMC in Structural Dynamics - on Experimental Data.- 4 Approximate Bayesian Computation by Subset Simulation for Parameter Inference of Dynamical Models.- 5 Determining Model Form Uncertainty of Reduced Order Models.- 6 Uncertainty Analysis of Mechanical Behavior of Functionally Graded Carbon Nanotube Composite Materials.- 7 Interval Uncertainty Analysis of Structure Using CANDECOMP/PARAFAC Decomposition.- 8 Uncertainty Quantification For Nonlinear Reduced-Order Elasto-Dynamics Computational Models.- 9 Estimating Noise Spectra for Data from an Instrumented Building.- 10 Uncertainties in an Application of Operational Modal Analysis.- 11 Stochastic Finite Element Model Updating by Bootstrapping.- 12 Dynamic Identification of Classically Damped Uncertain Structures.- 13 Interval Finite Element Approach for Modal Analysis of Linear Elastic Structures Under Uncertainty.- 14 Model Based Effects Screening of Stringed Instruments.- 15 Innovation Dilemmas, Design Optimization, and Info-Gaps.- 16 Approach to Evaluate and to Compare Basic Structural Design Concepts of Landing Gears in Early Stage of Development Under Uncertainty.- 14 Model Based Effects Screening of Stringed Instruments.- 15 Innovation Dilemmas, Design Optimization, and Info-Gaps.- 16 Approach to Evaluate and to Compare Basic Structural Design Concepts of Landing Gears in Early Stage of Development Under Uncertainty.- 17 Robust Sensor and Exciter Design for Linear Structures.- 18 Robust Model Calibration Using Determinist and Stochastic Performance Metrics.- 19 Designing a Mechanical Latch for Robust Performance.- 19 From Model Calibration and Validation to Reliable Extrapolations.- 20 From Model Calibration and Validation to Reliable Extrapolations.- 21 Application of PCA-SVD Validation Metric to Develop Calibrated and Validated Structural Dynamic Models.- 22 An Enhanced Metropolis-Hastings Algorithm Based on Gaussian Processes.- 23 The Challenge of Dynamic Similarity Assessment.- 24 Model Based Robust Balancing Approach for Rotating Machines.- 25 Statistical Modeling of Wavelet-Transform-Based Features in Structural Health Monitoring.- 26 A Bayesian Framework for Optimal Experimental Design in Structural Dynamics.- Towards the Diagnosis and Simulation of Discrepancies in Dynamical Models.- 28 Effects of Prediction Error Bias on Model Calibration and Response Prediction of a 10-Story Building.- 29 Finite Element Model Updating Techniques of Complex Assemblies with Linear and Nonlinear Components.- 30 Metamodeling of Model Evidence.- 31 Calibration, Validation and Cross-Validation of Nominally Identical Car Subframes.- 32 Modeling and Experimental Test Study of a Multilayer Piezoelectric Actuator.- 33 Study of Correlation Criteria for Spacecraft-Launch Vehicle Coupled Loads Analysis.- 34 Full-field Strain Prediction Applied to an Offshore Wind Turbine.- 35 A State-Input Estimation Approach for Force Identification on an Automotive Suspension Component.- 36 A Pretest Planning Method for Model Calibration for Nonlinear Systems.
Описание: This book constitutes the refereed proceedings of the 14th International Conference on Scalable Uncertainty Management, SUM 2020, which was held in Bozen-Bolzano, Italy, in September 2020. The 12 full, 7 short papers presented in this volume were carefully reviewed and selected from 30 submissions.
Описание: 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 MathematicalModelling 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 UncertaintyQuantification.- 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-Bas
During the last decade, research in Uncertainty Quantification (UC) has received a tremendous boost, in fluid engineering and coupled structural-fluids systems. New algorithms and adaptive variants have also emerged.
This timely compendium overviews in detail the current state of the art of the field, including advances in structural engineering, along with the recent focus on fluids and coupled systems. Such a strong compilation of these vibrant research areas will certainly be an inspirational reference material for the scientific community.
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