Uncertainty Quantification in Multiscale Materials Modeling

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  • Author : Yan Wang
  • Publisher : Woodhead Publishing Limited
  • Pages : 900 pages
  • ISBN : 0081029411
  • Rating : /5 from reviews
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Download or Read online Uncertainty Quantification in Multiscale Materials Modeling full in PDF, ePub and kindle. this book written by Yan Wang and published by Woodhead Publishing Limited which was released on 12 March 2020 with total page 900 pages. We cannot guarantee that Uncertainty Quantification in Multiscale Materials Modeling book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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.

Uncertainty Quantification in Multiscale Materials Modeling

Uncertainty Quantification in Multiscale Materials Modeling
  • Author : Yan Wang,David L. McDowell
  • Publisher : Woodhead Publishing Limited
  • Release : 12 March 2020
GET THIS BOOK Uncertainty Quantification in Multiscale Materials Modeling

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

Multiscale Modeling and Uncertainty Quantification of Materials and Structures

Multiscale Modeling and Uncertainty Quantification of Materials and Structures
  • Author : Manolis Papadrakakis,George Stefanou
  • Publisher : Springer
  • Release : 02 July 2014
GET THIS BOOK Multiscale Modeling and Uncertainty Quantification of Materials and Structures

This book contains the proceedings of the IUTAM Symposium on Multiscale Modeling and Uncertainty Quantification of Materials and Structures that was held at Santorini, Greece, September 9 – 11, 2013. It consists of 20 chapters which are divided in five thematic topics: Damage and fracture, homogenization, inverse problems–identification, multiscale stochastic mechanics and stochastic dynamics. Over the last few years, the intense research activity at micro scale and nano scale reflected the need to account for disparate levels of uncertainty from various sources and across

Uncertainty Quantification in Multiscale Materials Modeling

Uncertainty Quantification in Multiscale Materials Modeling
  • Author : Yan Wang,David L. McDowell
  • Publisher : Woodhead Publishing
  • Release : 10 March 2020
GET THIS BOOK Uncertainty Quantification in Multiscale Materials Modeling

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

Uncertainty Quantification and Management for Multi scale Nuclear Materials Modeling

Uncertainty Quantification and Management for Multi scale Nuclear Materials Modeling
  • Author : Anonim
  • Publisher : Unknown
  • Release : 09 December 2021
GET THIS BOOK Uncertainty Quantification and Management for Multi scale Nuclear Materials Modeling

Understanding and improving microstructural mechanical stability in metals and alloys is central to the development of high strength and high ductility materials for cladding and cores structures in advanced fast reactors. Design and enhancement of radiation-induced damage tolerant alloys are facilitated by better understanding the connection of various unit processes to collective responses in a multiscale model chain, including: dislocation nucleation, absorption and desorption at interfaces; vacancy production, radiation-induced segregation of Cr and Ni at defect clusters (point defect sinks)

Multiscale Modeling of Heterogeneous Structures

Multiscale Modeling of Heterogeneous Structures
  • Author : Jurica Sorić,Peter Wriggers,Olivier Allix
  • Publisher : Springer
  • Release : 30 November 2017
GET THIS BOOK Multiscale Modeling of Heterogeneous Structures

This book provides an overview of multiscale approaches and homogenization procedures as well as damage evaluation and crack initiation, and addresses recent advances in the analysis and discretization of heterogeneous materials. It also highlights the state of the art in this research area with respect to different computational methods, software development and applications to engineering structures. The first part focuses on defects in composite materials including their numerical and experimental investigations; elastic as well as elastoplastic constitutive models are considered,

Stochastic Multiscale Modeling of Polycrystalline Materials

Stochastic Multiscale Modeling of Polycrystalline Materials
  • Author : Bin Wen
  • Publisher : Unknown
  • Release : 09 December 2021
GET THIS BOOK Stochastic Multiscale Modeling of Polycrystalline Materials

Mechanical properties of engineering materials are sensitive to the underlying random microstructure. Quantification of mechanical property variability induced by microstructure variation is essential for the prediction of extreme properties and microstructure-sensitive design of materials. Recent advances in high throughput characterization of polycrystalline microstructures have resulted in huge data sets of microstructural descriptors and image snapshots. To utilize these large scale experimental data for computing the resulting variability of macroscopic properties, appropriate mathematical representation of microstructures is needed. By exploring the

Integrated Computational Materials Engineering ICME for Metals

Integrated Computational Materials Engineering  ICME  for Metals
  • Author : Mark F. Horstemeyer
  • Publisher : John Wiley & Sons
  • Release : 23 July 2012
GET THIS BOOK Integrated Computational Materials Engineering ICME for Metals

State-of-the-technology tools for designing, optimizing, and manufacturing new materials Integrated computational materials engineering (ICME) uses computational materials science tools within a holistic system in order to accelerate materials development, improve design optimization, and unify design and manufacturing. Increasingly, ICME is the preferred paradigm for design, development, and manufacturing of structural products. Written by one of the world's leading ICME experts, this text delivers a comprehensive, practical introduction to the field, guiding readers through multiscale materials processing modeling and simulation with

Model Validation and Uncertainty Quantification Volume 3

Model Validation and Uncertainty Quantification  Volume 3
  • Author : Robert Barthorpe
  • Publisher : Springer
  • Release : 30 July 2018
GET THIS BOOK Model Validation and Uncertainty Quantification Volume 3

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

Uncertainty Quantification

Uncertainty Quantification
  • Author : Christian Soize
  • Publisher : Springer
  • Release : 24 April 2017
GET THIS BOOK Uncertainty Quantification

This book presents the fundamental notions and advanced mathematical tools in the stochastic modeling of uncertainties and their quantification for large-scale computational models in sciences and engineering. In particular, it focuses in parametric uncertainties, and non-parametric uncertainties with applications from the structural dynamics and vibroacoustics of complex mechanical systems, from micromechanics and multiscale mechanics of heterogeneous materials. Resulting from a course developed by the author, the book begins with a description of the fundamental mathematical tools of probability and statistics

Assessment of the In House Laboratory Independent Research at the Army s Research Development and Engineering Centers

Assessment of the In House Laboratory Independent Research at the Army s Research  Development  and Engineering Centers
  • Author : National Academies of Sciences, Engineering, and Medicine,Division on Engineering and Physical Sciences,Army Research Program Review and Analysis Committee
  • Publisher : National Academies Press
  • Release : 23 January 2020
GET THIS BOOK Assessment of the In House Laboratory Independent Research at the Army s Research Development and Engineering Centers

This report evaluates the In-House Laboratory Independent Research (ILIR) conducted at the Research, Development, and Engineering Centers (RDECs) of the U.S. Army's Research, Development, and Engineering Command (RDECOM) during 2018. It reviews and offers recommendations for each of the eight areas of ILIR research: chemistry, computational sciences, electronics, life sciences, materials science, mechanical sciences, network sciences, and physics.

Applied Spectroscopy and the Science of Nanomaterials

Applied Spectroscopy and the Science of Nanomaterials
  • Author : Prabhakar Misra
  • Publisher : Springer
  • Release : 21 October 2014
GET THIS BOOK Applied Spectroscopy and the Science of Nanomaterials

This book focuses on several areas of intense topical interest related to applied spectroscopy and the science of nanomaterials. The eleven chapters in the book cover the following areas of interest relating to applied spectroscopy and nanoscience: · Raman spectroscopic characterization, modeling and simulation studies of carbon nanotubes, · Characterization of plasma discharges using laser optogalvanic spectroscopy, · Fluorescence anisotropy in understanding protein conformational disorder and aggregation, · Nuclear magnetic resonance spectroscopy in nanomedicine, · Calculation of Van der Waals interactions at the nanoscale, · Theory

Predictive Theoretical and Computational Approaches for Additive Manufacturing

Predictive Theoretical and Computational Approaches for Additive Manufacturing
  • Author : National Academies of Sciences, Engineering, and Medicine,Policy and Global Affairs,Board on International Scientific Organizations,U.S. National Committee on Theoretical and Applied Mechanics
  • Publisher : National Academies Press
  • Release : 21 December 2016
GET THIS BOOK Predictive Theoretical and Computational Approaches for Additive Manufacturing

Additive manufacturing (AM) methods have great potential for promoting transformative research in many fields across the vast spectrum of engineering and materials science. AM is one of the leading forms of advanced manufacturing which enables direct computer-aided design (CAD) to part production without part-specific tooling. In October 2015 the National Academies of Sciences, Engineering, and Medicine convened a workshop of experts from diverse communities to examine predictive theoretical and computational approaches for various AM technologies. While experimental workshops in AM have

Mesoscale Models

Mesoscale Models
  • Author : Sinisa Mesarovic,Samuel Forest,Hussein Zbib
  • Publisher : Springer
  • Release : 19 November 2018
GET THIS BOOK Mesoscale Models

The book helps to answer the following questions: How far have the understanding and mesoscale modeling advanced in recent decades, what are the key open questions that require further research and what are the mathematical and physical requirements for a mesoscale model intended to provide either insight or a predictive engineering tool? It is addressed to young researchers including doctoral students, postdocs and early career faculty,