Описание: Modeling and Tools.- Stick-slip oscillations in a stochastic multiphysics system.- Coupled lateral-torsional drill-string with uncertainties.- Processes.- Uncertainty quantification in subsea lifting operations.- Data Analysis and Identification.- Uncertainty Quantification in risk modeling: the case of customs supply chain.- Uncertainty analysis and estimation.- Uncertainty propagation in wind turbine blade load actions.- Optimization.- Uncertainty Quantification of Pareto Fronts.- Author Index.
Автор: Wang, Yan Название: Uncertainty Quantification In Multiscale Materials Modeling ISBN: 0081029411 ISBN-13(EAN): 9780081029411 Издательство: Elsevier Science Рейтинг: Цена: 47161.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Uncertainty Quantification in Multiscale Materials Modeling provides a complete overview of uncertainty quantification (UQ) in computational materials science. It provides practical tools and methods along with examples of their application to problems in materials modeling. UQ methods are applied to various multiscale models ranging from the nanoscale to macroscale. This book presents a thorough synthesis of the state-of-the-art in UQ methods for materials modeling, including Bayesian inference, surrogate modeling, random fields, interval analysis, and sensitivity analysis, providing insight into the unique characteristics of models framed at each scale, as well as common issues in modeling across scales.
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: Meet Lela - a clever little girl, who is also very stubborn! Despite being encouraged by her mum and dad to learn a new language Lela refuses. This leaves Lela in a pickle at an important party where she can`t understand anything the grown-ups are saying! So Lela vows to learn all of the languages of the world - which she does one word at a time...
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
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.
Автор: Hester Bijl; Didier Lucor; Siddhartha Mishra; Chri Название: Uncertainty Quantification in Computational Fluid Dynamics ISBN: 3319008846 ISBN-13(EAN): 9783319008844 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It collects seven original review articles that cover improved versions of the Monte Carlo method (the so-called multi-level Monte Carlo method (MLMC)), moment-based stochastic Galerkin methods and modified versions of the stochastic collocation methods that use adaptive stencil selection of the ENO-WENO type in both physical and stochastic space.
Описание: This book explores four guiding themes - reduced order modelling, high dimensional problems, efficient algorithms, and applications - by reviewing recent algorithmic and mathematical advances and the development of new research directions for uncertainty quantification in the context of partial differential equations with random inputs.
Автор: H. Sezer Atamturktur; Babak Moaveni; Costas Papadi Название: Model Validation and Uncertainty Quantification, Volume 3 ISBN: 3319386077 ISBN-13(EAN): 9783319386072 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Experimental Validation of the Dual Kalman Filter for Online and Real-time State and Input Estimation.- Comparison of Uncertainty in Passive and Active Vibration Isolation.- Observation DOF's Optimization for Structural Forces Identification.- Nonlinear Structural Finite Element Model Updating using Batch Bayesian Estimation.- A Comparative Assessment of Nonlinear State Estimation Methods for Structural Health Monitoring.- Hierarchical Bayesian Model Updating for Probabilistic Damage Identification.- Nonlinear Structural Finite Element Model Updating Using Stochastic Filtering.- Dispersion-corrected, Operationally Normalized Stabilization Diagrams for Robust Structural Identification.- Online Damage Detection in Plates via Vibration Measurements.- Advanced Modal Analysis of Geometry Consistent Experimental Space-Time Databases in Nonlinear Structural Dynamics.- Comparison of Damage Classification Between Recursive Bayesian Model Selection and Support Vector Machine.- A Comparative Study of Mode Decomposition Techniques to Relate Dynamic Modes Identified Using Parametric and Non-Parametric Methods.- Comparison of Different Approaches for the Model-based Design of Experiments.- Sensitivity Analysis for Test Resource Allocation.- Predictive Validation of Dispersion Models Using a Data Partitioning Methodology.- Experimental Variability on Modal Characteristics of an In-situ Pump.- SICODYN Research Project: Variability and Uncertainty in Structural Dynamics.- Variability of a Bolted Assembly Through an Experimental Modal Analysis.- Bottom-up Calibration of an Industrial Pump Model: Toward a Robust Calibration Paradigm.- Model Validation in Scientific Computing: Considering Robustness to Non-Probabilistic Uncertainty in the Input Parameters.- Robust-optimal Design Using Multifidelity Models.- Robust Modal Test Design Under Epistemic Model Uncertainties.- Clustered Parameters of Calibrated Models when Considering Both Fidelity and Robustness.- Uncertainty Propagation Combining Robust Condensation and Generalized Polynomial Chaos Expansion.- Robust Updating of Operational Boundary Conditions of a Grinding Machine.- Impact of Numerical Model Verification and Validation within FAA Certification.- The Role of Model V&V in the Defining of Specifications.- A Perspective on the Integration of Verification and Validation Into the Decision Making Process.- A MCMC Method for Bayesian System Identification From Large Data Sets.- A MCMC Method for Bayesian System Identification From Large Data Sets.- Reducing MCMC Computational Cost With a Two Layered Bayesian Approach.- Comparison of FRF Correlation Techniques.- Improved Estimation of Frequency Response Covariance.- Cross Orthogonality Check for Structures With Closely Spaced Modes.- Modeling of an Instrumented Building Subjected to Different Ground Motions.- Calibration and Cross-Validation of a Car Component Model Using Repeated Testing.- Structural Dynamics Model Calibration and Validation of a Rectangular Steel Plate Structure.- Human Activity Recognition Using Multinomial Logistic Regression.
Автор: H. Sezer Atamturktur; Babak Moaveni; Costas Papadi Название: Model Validation and Uncertainty Quantification, Volume 3 ISBN: 3319353101 ISBN-13(EAN): 9783319353104 Издательство: Springer Рейтинг: Цена: 30039.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Calibration of System Parameters Under Model Uncertainty.- On the Aggregation and Extrapolation of Uncertainty From Component to System Level Models.- Validation of Strongly Coupled Models: A Framework for Resource Allocation.- Fatigue Monitoring in Metallic Structures Using Vibration Measurements.- Uncertainty Propagation in Experimental Modal Analysis.- Quantification of Prediction Bounds Caused by Model Form Uncertainty.- Composite Fuselage Impact Testing and Simulation: A Model Calibration Exercise.- Noise Sensitivity Evaluation of Autoregressive Features Extracted From Structure Vibration.- Uncertainty Quantification and Integration in Multi-level Problems.- Reliability Quantification of High-speed Naval Vessels Based on SHM Data.- Structural Identification Using Response Measurements Under Base Excitation.- Bayesian FE Model Updating in the Presence of Modeling Errors.- Maintenance Planning Under Uncertainties Using a Continuous-state POMDP Framework.- Achieving Robust Design through Statistical Effect Screening.- Automated Modal Parameter Extraction and Statistical Analysis of the New Carquinez Bridge Response to Ambient Excitations.- Evaluation of a Time Reversal Method with Dynamic Time Warping matching function for human Fall Detection Using Structural Vibrations.- Uncertainty Quantification of Identified Modal Parameters Using the Fisher Information Criterion.- Excitation Related Uncertainty in Ambient Vibration Testing of Bridges.- Experiment-based Validation and Uncertainty Quantification of Coupled Multi-scale Plasticity Models.- Model Calibration and Uncertainty Quantification of A600 Blades.- Validation Assessment for Joint Problem Using an Energy Dissipation Model.- A Bayesian Damage Prognosis Approach Applied to Bearing Failure.- Sensitivity Analysis of Beams Controlled by Shunted Piezoelectric Transducers.- A Principal Component Analysis (PCA) Decomposition Based Validation Metric for use with Full Field Measurement Situations.- FEM Calibration With FRF Damping Equalization.- Evaluating Initial Model for Dynamic Model Updating: Criteria and Application.- Evaluating Convergence of Reduced Order Models Using Nonlinear Normal Modes.- Approximate Bayesian Computation for Finite Element Model Updating.- An Efficient Method for the Quantification of the Frequency Domain Statistical Properties of Short Response Time Series of Dynamic Systems.- Quantifying Uncertainty in Modal Parameters Estimated Using Higher Order Time Domain Algorithms.- Detection of Stress-stiffening Effect on Automotive Components.- Approach to Evaluate Uncertainty in Passive and Active Vibration Reduction.- Project-oriented Validation on a Cantilever Beam Under Vibration Active Control.- Inferring structural variability using modal analysis in a Bayesian framework.- Including SN-Curve Uncertainty in Fatigue Reliability Analyses of Wind Turbines.- Robust Design of Notching Profile under Epistemic Model Uncertainties.- Optimal Selection of Calibration and Validation Test Samples Under Uncertainty.- Uncertainty Quantification in Experimental Structural Dynamics Identification of Composite Material Structures.- Analysis of Numerical Errors in Strongly Coupled Numerical Models.- Robust Expansion of Experimental Mode Shapes Under Epistemic Uncertainties.
Описание: Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics, 2019, the third volume of eight 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:Inverse Problems and Uncertainty QuantificationControlling UncertaintyValidation of Models for Operating EnvironmentsModel Validation & Uncertainty Quantification: Decision MakingUncertainty Quantification in Structural DynamicsUncertainty in Early Stage DesignComputational and Uncertainty Quantification Tools
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