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Integrated computational materials e...

Ghosh, Somnath.

Integrated computational materials engineering (ICME)advancing computational and experimental methods /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Integrated computational materials engineering (ICME)edited by Somnath Ghosh, Christopher Woodward, Craig Przybyla.
Reminder of title:	advancing computational and experimental methods /
other author:	Ghosh, Somnath.
Published:	Cham :Springer International Publishing :2020.
Description:	xx, 405 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Materials.
Online resource:	https://doi.org/10.1007/978-3-030-40562-5
ISBN:	9783030405625$q(electronic bk.)

Integrated computational materials engineering (ICME)advancing computational and experimental methods /
Integrated computational materials engineering (ICME)advancing computational and experimental methods /[electronic resource] :edited by Somnath Ghosh, Christopher Woodward, Craig Przybyla. - Cham :Springer International Publishing :2020. - xx, 405 p. :ill., digital ;24 cm.

Scale Hierarchical Modeling of Ni-based Superalloys: from sub-grain to polycrystalline scales -- Underpinning and benchmarking multi-scale models with micro-tensile and bending experiments -- Discrete network dynamics: From dislocation to polymer chain simulations -- Survey of ICME methods for Polymer Matrix Composites -- Structure-property measurements: Multi-scale experiments for model calibration and validation for PMC -- Computational micromechanics and multi-scale modeling of PMCs -- Determining property-based statistically equivalent representative volume elements or P- SERVE for polymer matrix composites using exterior statistics-based boundary conditions -- Quantification of error and uncertainty in materials characterization.

This book introduces research advances in Integrated Computational Materials Engineering (ICME) that have taken place under the aegis of the Center of Excellence on Integrated Materials Modeling (CEIMM) Its author team consists of leading researchers in ICME from prominent academic institutions and the Air Force Research Laboratory. The book examines state-of-the-art advances in physics-based, multi-scale, computational-experimental methods and models for structural materials like polymer-matrix composites and metallic alloys. The book emphasizes Ni-based superalloys and epoxy matrix carbon-fiber composites and encompasses atomistic scales, meso-scales of coarse-grained models and discrete dislocations, and micro-scales of poly-phase and polycrystalline microstructures. Other critical phenomena investigated include the relationship between microstructural morphology, crystallography, and mechanisms to the material response at different scales; methods of identifying representative volume elements using microstructure and material characterization, and robust deterministic and probabilistic modeling of deformation and damage. Encompassing a slate of topics that enable readers to comprehend and approach ICME-related issues involved in predicting material performance and failure, the book is ideal for mechanical, civil, and aerospace engineers, and materials scientists, in in academic, government, and industrial laboratories. Presents data acquisition, characterization, and image-based virtual models across multiple scales; Adopts a physics-based approach to multi-scale model development for material performance and failure response; Describes experimental methods for constitutive models, response functions, and failure processes; Maximizes reader understanding with probabilistic modeling and uncertainty quantification.

ISBN: 9783030405625$q(electronic bk.)

Standard No.: 10.1007/978-3-030-40562-5doiSubjects--Topical Terms:

203115
Materials.

LC Class. No.: TA403 / .I584 2020

Dewey Class. No.: 620.11

Integrated computational materials engineering (ICME)advancing computational and experimental methods /
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505 0 $a Scale Hierarchical Modeling of Ni-based Superalloys: from sub-grain to polycrystalline scales -- Underpinning and benchmarking multi-scale models with micro-tensile and bending experiments -- Discrete network dynamics: From dislocation to polymer chain simulations -- Survey of ICME methods for Polymer Matrix Composites -- Structure-property measurements: Multi-scale experiments for model calibration and validation for PMC -- Computational micromechanics and multi-scale modeling of PMCs -- Determining property-based statistically equivalent representative volume elements or P- SERVE for polymer matrix composites using exterior statistics-based boundary conditions -- Quantification of error and uncertainty in materials characterization.
520 $a This book introduces research advances in Integrated Computational Materials Engineering (ICME) that have taken place under the aegis of the Center of Excellence on Integrated Materials Modeling (CEIMM) Its author team consists of leading researchers in ICME from prominent academic institutions and the Air Force Research Laboratory. The book examines state-of-the-art advances in physics-based, multi-scale, computational-experimental methods and models for structural materials like polymer-matrix composites and metallic alloys. The book emphasizes Ni-based superalloys and epoxy matrix carbon-fiber composites and encompasses atomistic scales, meso-scales of coarse-grained models and discrete dislocations, and micro-scales of poly-phase and polycrystalline microstructures. Other critical phenomena investigated include the relationship between microstructural morphology, crystallography, and mechanisms to the material response at different scales; methods of identifying representative volume elements using microstructure and material characterization, and robust deterministic and probabilistic modeling of deformation and damage. Encompassing a slate of topics that enable readers to comprehend and approach ICME-related issues involved in predicting material performance and failure, the book is ideal for mechanical, civil, and aerospace engineers, and materials scientists, in in academic, government, and industrial laboratories. Presents data acquisition, characterization, and image-based virtual models across multiple scales; Adopts a physics-based approach to multi-scale model development for material performance and failure response; Describes experimental methods for constitutive models, response functions, and failure processes; Maximizes reader understanding with probabilistic modeling and uncertainty quantification.
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650 1 4 $a Characterization and Evaluation of Materials. $3 273978
650 2 4 $a Ceramics, Glass, Composites, Natural Materials. $3 764200
650 2 4 $a Mathematical and Computational Engineering. $3 775095
650 2 4 $a Materials Engineering. $3 682881
650 2 4 $a Data-driven Science, Modeling and Theory Building. $3 758833
700 1 $a Ghosh, Somnath. $3 509783
700 1 $a Woodward, Christopher. $3 859440
700 1 $a Przybyla, Craig. $3 859441
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856 4 0 $u https://doi.org/10.1007/978-3-030-40562-5
950 $a Chemistry and Materials Science (Springer-11644)