Model Validation and Uncertainty Quantification, Volume 3

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Publisher : Springer Nature
ISBN 13 : 3031370031
Total Pages : 208 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Model Validation and Uncertainty Quantification, Volume 3 by : Roland Platz

Download or read book Model Validation and Uncertainty Quantification, Volume 3 written by Roland Platz and published by Springer Nature. This book was released on 2023-10-06 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics, 2023, the third volume of ten 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: Introduction of Uncertainty Quantification Uncertainty Quantification in Dynamics Model Form Uncertainty and Selection incl. Round Robin Challenge Sensor and Information Fusion Virtual Sensing, Certification, and Real-Time Monitoring Surrogate Modeling

Model Validation and Uncertainty Quantification, Volume 3

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Publisher : Springer Nature
ISBN 13 : 3030773485
Total Pages : 187 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Model Validation and Uncertainty Quantification, Volume 3 by : Zhu Mao

Download or read book Model Validation and Uncertainty Quantification, Volume 3 written by Zhu Mao and published by Springer Nature. This book was released on 2022-01-01 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics, 2021, 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: Inverse Problems and Uncertainty Quantification Controlling Uncertainty Validation of Models for Operating Environments Model Validation & Uncertainty Quantification: Decision Making Uncertainty Quantification in Structural Dynamics Uncertainty in Early Stage Design Computational and Uncertainty Quantification Tools

Model Validation and Uncertainty Quantification, Volume 3

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Publisher : Springer Nature
ISBN 13 : 3030476383
Total Pages : 426 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Model Validation and Uncertainty Quantification, Volume 3 by : Zhu Mao

Download or read book Model Validation and Uncertainty Quantification, Volume 3 written by Zhu Mao and published by Springer Nature. This book was released on 2020-10-27 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Model Validation and Uncertainty Quantification, Volume 3

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Publisher :
ISBN 13 : 9783031040917
Total Pages : 0 pages
Book Rating : 4.0/5 (49 download)

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Book Synopsis Model Validation and Uncertainty Quantification, Volume 3 by : Zhu Mao

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Model Validation and Uncertainty Quantification, Volume 3

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Publisher : Springer
ISBN 13 : 3030120759
Total Pages : 299 pages
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Book Synopsis Model Validation and Uncertainty Quantification, Volume 3 by : Robert Barthorpe

Download or read book Model Validation and Uncertainty Quantification, Volume 3 written by Robert Barthorpe and published by Springer. This book was released on 2019-05-30 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Quantification Controlling Uncertainty Validation of Models for Operating Environments Model Validation & Uncertainty Quantification: Decision Making Uncertainty Quantification in Structural Dynamics Uncertainty in Early Stage Design Computational and Uncertainty Quantification Tools

Model Validation and Uncertainty Quantification, Volume 3

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Publisher : Springer
ISBN 13 : 3319747932
Total Pages : 312 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Model Validation and Uncertainty Quantification, Volume 3 by : Robert Barthorpe

Download or read book Model Validation and Uncertainty Quantification, Volume 3 written by Robert Barthorpe and published by Springer. This book was released on 2018-07-30 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics, 2018, 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

Model Validation and Uncertainty Quantification, Volume 3

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Publisher : Springer
ISBN 13 : 3319548581
Total Pages : 378 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Model Validation and Uncertainty Quantification, Volume 3 by : Robert Barthorpe

Download or read book Model Validation and Uncertainty Quantification, Volume 3 written by Robert Barthorpe and published by Springer. This book was released on 2017-06-07 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics, 2017, the third volume of ten 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

Model Validation and Uncertainty Quantification, Volume 3

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Publisher :
ISBN 13 : 9783030120764
Total Pages : 288 pages
Book Rating : 4.1/5 (27 download)

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Book Synopsis Model Validation and Uncertainty Quantification, Volume 3 by : Robert Barthorpe

Download or read book Model Validation and Uncertainty Quantification, Volume 3 written by Robert Barthorpe and published by . This book was released on 2020 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Quantification Controlling Uncertainty Validation of Models for Operating Environments Model Validation & Uncertainty Quantification: Decision Making Uncertainty Quantification in Structural Dynamics Uncertainty in Early Stage Design Computational and Uncertainty Quantification Tools.

Model Validation and Uncertainty Quantification, Volume 3

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Publisher : Springer
ISBN 13 : 3319297546
Total Pages : 379 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Model Validation and Uncertainty Quantification, Volume 3 by : Sez Atamturktur

Download or read book Model Validation and Uncertainty Quantification, Volume 3 written by Sez Atamturktur and published by Springer. This book was released on 2016-06-27 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Validation and Uncertainty Quantifi cation, Volume 3. Proceedings of the 34th IMAC, A Conference and Exposition on Dynamics of Multiphysical Systems: From Active Materials to Vibroacoustics, 2016, the third volume of ten from the Conference brings together contributions to this important area of research and engineering. Th e collection presents early findings and case studies on fundamental and applied aspects of Structural Dynamics, including papers on: • Uncertainty Quantifi cation & Model Validation • Uncertainty Propagation in Structural Dynamics • Bayesian & Markov Chain Monte Carlo Methods • Practical Applications of MVUQ • Advances in MVUQ & Model Updating • Robustness in Design & Validation • Verifi cation & Validation Methods

Model Validation and Uncertainty Quantification, Volume 3

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Publisher : Springer Science & Business Media
ISBN 13 : 3319045520
Total Pages : 427 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Model Validation and Uncertainty Quantification, Volume 3 by : H. Sezer Atamturktur

Download or read book Model Validation and Uncertainty Quantification, Volume 3 written by H. Sezer Atamturktur and published by Springer Science & Business Media. This book was released on 2014-04-11 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: This third volume of eight from the IMAC - XXXII 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 Structural Dynamics, including papers on: Linear Systems Substructure Modelling Adaptive Structures Experimental Techniques Analytical Methods Damage Detection Damping of Materials & Members Modal Parameter Identification Modal Testing Methods System Identification Active Control Modal Parameter Estimation Processing Modal Data

Model Validation and Uncertainty Quantification, Volume 3

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Publisher : Springer
ISBN 13 : 3319152246
Total Pages : 372 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Model Validation and Uncertainty Quantification, Volume 3 by : H. Sezer Atamturktur

Download or read book Model Validation and Uncertainty Quantification, Volume 3 written by H. Sezer Atamturktur and published by Springer. This book was released on 2015-04-25 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Validation and Uncertainty Quantification, Volume 3. Proceedings of the 33rd IMAC, A Conference and Exposition on Balancing Simulation and Testing, 2015, the third volume of ten 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 Structural Dynamics, including papers on: Uncertainty Quantification & Model Validation Uncertainty Propagation in Structural Dynamics Bayesian & Markov Chain Monte Carlo Methods Practical Applications of MVUQ Advances in MVUQ & Model Updating

Sensors and Instrumentation, Volume 5

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Publisher : Springer
ISBN 13 : 3319152122
Total Pages : 92 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Sensors and Instrumentation, Volume 5 by : Evro Wee Sit

Download or read book Sensors and Instrumentation, Volume 5 written by Evro Wee Sit and published by Springer. This book was released on 2015-04-15 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Validation and Uncertainty Quantification, Volume 3. Proceedings of the 33rd IMAC, A Conference and Exposition on Balancing Simulation and Testing, 2015, the third volume of ten 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 Structural Dynamics, including papers on: Uncertainty Quantification & Model Validation Uncertainty Propagation in Structural Dynamics Bayesian & Markov Chain Monte Carlo Methods Practical Applications of MVUQ Advances in MVUQ & Model Updating

Approach and Verification

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Publisher : SAE International
ISBN 13 : 0768057264
Total Pages : 125 pages
Book Rating : 4.7/5 (68 download)

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Book Synopsis Approach and Verification by : Subramaniam Ganesan

Download or read book Approach and Verification written by Subramaniam Ganesan and published by SAE International. This book was released on 2010-11-29 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automotive systems engineering addresses the system throughout its life cycle, including requirement, specification, design, implementation, verification and validation of systems, modeling, simulation, testing, manufacturing, operation and maintenance. This book is the fourth in a series of four volumes on this subject and features 12 papers, published between 2002-2009, that address the challenges and importance of systems approach in system verification and validation, stressing the use of advanced tools and approaches. Topics covered include: Systems integration and verification Software engineering in future automotive systems development Configuration management of the model-based design process

Assessing the Reliability of Complex Models

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Publisher : National Academies Press
ISBN 13 : 0309256348
Total Pages : 144 pages
Book Rating : 4.3/5 (92 download)

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Book Synopsis Assessing the Reliability of Complex Models by : National Research Council

Download or read book Assessing the Reliability of Complex Models written by National Research Council and published by National Academies Press. This book was released on 2012-07-26 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in computing hardware and algorithms have dramatically improved the ability to simulate complex processes computationally. Today's simulation capabilities offer the prospect of addressing questions that in the past could be addressed only by resource-intensive experimentation, if at all. Assessing the Reliability of Complex Models recognizes the ubiquity of uncertainty in computational estimates of reality and the necessity for its quantification. As computational science and engineering have matured, the process of quantifying or bounding uncertainties in a computational estimate of a physical quality of interest has evolved into a small set of interdependent tasks: verification, validation, and uncertainty of quantification (VVUQ). In recognition of the increasing importance of computational simulation and the increasing need to assess uncertainties in computational results, the National Research Council was asked to study the mathematical foundations of VVUQ and to recommend steps that will ultimately lead to improved processes. Assessing the Reliability of Complex Models discusses changes in education of professionals and dissemination of information that should enhance the ability of future VVUQ practitioners to improve and properly apply VVUQ methodologies to difficult problems, enhance the ability of VVUQ customers to understand VVUQ results and use them to make informed decisions, and enhance the ability of all VVUQ stakeholders to communicate with each other. This report is an essential resource for all decision and policy makers in the field, students, stakeholders, UQ experts, and VVUQ educators and practitioners.

Mastering Uncertainty in Mechanical Engineering

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Publisher : Springer Nature
ISBN 13 : 3030783545
Total Pages : 483 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Mastering Uncertainty in Mechanical Engineering by : Peter F. Pelz

Download or read book Mastering Uncertainty in Mechanical Engineering written by Peter F. Pelz and published by Springer Nature. This book was released on 2021-10-11 with total page 483 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book reports on innovative methods, technologies and strategies for mastering uncertainty in technical systems. Despite the fact that current research on uncertainty is mainly focusing on uncertainty quantification and analysis, this book gives emphasis to innovative ways to master uncertainty in engineering design, production and product usage alike. It gathers authoritative contributions by more than 30 scientists reporting on years of research in the areas of engineering, applied mathematics and law, thus offering a timely, comprehensive and multidisciplinary account of theories and methods for quantifying data, model and structural uncertainty, and of fundamental strategies for mastering uncertainty. It covers key concepts such as robustness, flexibility and resilience in detail. All the described methods, technologies and strategies have been validated with the help of three technical systems, i.e. the Modular Active Spring-Damper System, the Active Air Spring and the 3D Servo Press, which have been in turn developed and tested during more than ten years of cooperative research. Overall, this book offers a timely, practice-oriented reference guide to graduate students, researchers and professionals dealing with uncertainty in the broad field of mechanical engineering.

Uncertainty in Mechanical Engineering II

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Publisher : Trans Tech Publications Ltd
ISBN 13 : 3035701334
Total Pages : 260 pages
Book Rating : 4.0/5 (357 download)

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Book Synopsis Uncertainty in Mechanical Engineering II by : Peter F. Pelz

Download or read book Uncertainty in Mechanical Engineering II written by Peter F. Pelz and published by Trans Tech Publications Ltd. This book was released on 2015-11-23 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Collection of selected, peer reviewed papers from the 2nd International Conference on Uncertainty in Mechanical Engineering (ICUME 2015), November 19 – 20, 2015, Darmstadt, Germany. The 24 papers are grouped as follows: Chapter 1: Uncertainty in Mechanical Engineering Chapter 2: Uncertainty of Structural Dynamic Improvements in Light Weight Design Chapter 3: Modular Design and Scaling for Reduced Uncertainties in the Design Process Chapter 4: Improved Product Quality by Online Monitoring and Closed-Loop Control of Manufacturing Processes Chapter 5: Uncertainty in High Precision Manufacturing Processes Chapter 6: Modelling Uncertainty Information by Means of Semantics Chapter 7: Uncertainty Quantification Chapter 8: Optimization under Uncertainty Chapter 9: Binary Decisions under Uncertainty

Uncertainty Quantification and Model Calibration

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Publisher : BoD – Books on Demand
ISBN 13 : 9535132792
Total Pages : 228 pages
Book Rating : 4.5/5 (351 download)

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Book Synopsis Uncertainty Quantification and Model Calibration by : Jan Peter Hessling

Download or read book Uncertainty Quantification and Model Calibration written by Jan Peter Hessling and published by BoD – Books on Demand. This book was released on 2017-07-05 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncertainty quantification may appear daunting for practitioners due to its inherent complexity but can be intriguing and rewarding for anyone with mathematical ambitions and genuine concern for modeling quality. Uncertainty quantification is what remains to be done when too much credibility has been invested in deterministic analyses and unwarranted assumptions. Model calibration describes the inverse operation targeting optimal prediction and refers to inference of best uncertain model estimates from experimental calibration data. The limited applicability of most state-of-the-art approaches to many of the large and complex calculations made today makes uncertainty quantification and model calibration major topics open for debate, with rapidly growing interest from both science and technology, addressing subtle questions such as credible predictions of climate heating.