uncertainty quantification in multiscale materials modeling

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Uncertainty Quantification in Multiscale Materials Modeling
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Publisher : Woodhead Publishing Limited
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ISBN 10 : 0081029411
Pages : 900 pages
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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 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

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Workshop on Uncertainty Quantification and Multiscale Materials Modeling

Download or read online Workshop on Uncertainty Quantification and Multiscale Materials Modeling written by Anonim, published by Unknown which was released on 2011. Get Workshop on Uncertainty Quantification and Multiscale Materials Modeling Books now! Available in PDF, ePub and Kindle.

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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.

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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

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Stochastic Uncertainty Quantification for Multiscale Modeling of Polymeric Nanocomposites

Download or read online Stochastic Uncertainty Quantification for Multiscale Modeling of Polymeric Nanocomposites written by Nam Vu-Bac, published by Unknown which was released on 2015. Get Stochastic Uncertainty Quantification for Multiscale Modeling of Polymeric Nanocomposites Books now! Available in PDF, ePub and Kindle.

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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

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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

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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

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Multiscale Modelling and Simulation

In August 2003, ETHZ Computational Laboratory (CoLab), together with the Swiss Center for Scientific Computing in Manno and the Universit della Svizzera Italiana (USI), organized the Summer School in "Multiscale Modelling and Simulation" in Lugano, Switzerland. This summer school brought together experts in different disciplines to exchange ideas on how to

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Uncertainty Quantification in Laminated Composites

Over the last few decades, uncertainty quantification in composite materials and structures has gained a lot of attention from the research community as a result of industrial requirements. This book presents computationally efficient uncertainty quantification schemes following meta-model-based approaches for stochasticity in material and geometric parameters of laminated composite structures.

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Computational Materials System Design

This book provides state-of-the-art computational approaches for accelerating materials discovery, synthesis, and processing using thermodynamics and kinetics. The authors deliver an overview of current practical computational tools for materials design in the field. They describe ways to integrate thermodynamics and kinetics and how the two can supplement each other.

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Multiscale Methods

Small scale features and processes occurring at nanometer and femtosecond scales have a profound impact on what happens at a larger scale and over an extensive period of time. The primary objective of this volume is to reflect the state-of-the-art in multiscale mathematics, modeling, and simulations and to address the

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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,

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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

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Carbon Nanotube Reinforced Polymers

Carbon Nanotube-Reinforced Polymers: From Nanoscale to Macroscale addresses the advances in nanotechnology that have led to the development of a new class of composite materials known as CNT-reinforced polymers. The low density and high aspect ratio, together with their exceptional mechanical, electrical and thermal properties, render carbon nanotubes as a

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