3D Images of Materials Structures

3D Images of Materials Structures

Author: Joachim Ohser

Publisher: John Wiley & Sons

Published: 2009-09-03

Total Pages: 341

ISBN-13: 3527628312

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Taking and analyzing images of materials' microstructures is essential for quality control, choice and design of all kind of products. Today, the standard method still is to analyze 2D microscopy images. But, insight into the 3D geometry of the microstructure of materials and measuring its characteristics become more and more prerequisites in order to choose and design advanced materials according to desired product properties. This first book on processing and analysis of 3D images of materials structures describes how to develop and apply efficient and versatile tools for geometric analysis and contains a detailed description of the basics of 3d image analysis.


1st International Conference on 3D Materials Science, 2012

1st International Conference on 3D Materials Science, 2012

Author: Marc De Graef

Publisher: John Wiley & Sons

Published: 2013-02-26

Total Pages: 264

ISBN-13: 111868673X

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Addressing a critical growth area in materials science, this volume features papers presented at the 2012 International Conference on 3D Materials Science, organized by The Minerals, Metals & Materials Society (TMS). With the top researchers in the world assessing the state-of-the-art within the various elements of three-dimensional materials science, this collection provides the premier forum for authoritative presentations on all aspects of the science, including characterization, visualization, quantitative analysis, modeling, and investigation of structure-property relationships of materials.


Morphological Models of Random Structures

Morphological Models of Random Structures

Author: Dominique Jeulin

Publisher: Springer Nature

Published: 2021-06-01

Total Pages: 919

ISBN-13: 3030754529

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This book covers methods of Mathematical Morphology to model and simulate random sets and functions (scalar and multivariate). The introduced models concern many physical situations in heterogeneous media, where a probabilistic approach is required, like fracture statistics of materials, scaling up of permeability in porous media, electron microscopy images (including multispectral images), rough surfaces, multi-component composites, biological tissues, textures for image coding and synthesis. The common feature of these random structures is their domain of definition in n dimensions, requiring more general models than standard Stochastic Processes.The main topics of the book cover an introduction to the theory of random sets, random space tessellations, Boolean random sets and functions, space-time random sets and functions (Dead Leaves, Sequential Alternate models, Reaction-Diffusion), prediction of effective properties of random media, and probabilistic fracture theories.


Multiscale Modeling and Uncertainty Quantification of Materials and Structures

Multiscale Modeling and Uncertainty Quantification of Materials and Structures

Author: Manolis Papadrakakis

Publisher: Springer

Published: 2014-07-02

Total Pages: 303

ISBN-13: 3319063316

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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 scales. As even over-refined deterministic approaches are not able to account for this issue, an efficient blending of stochastic and multiscale methodologies is required to provide a rational framework for the analysis and design of materials and structures. The purpose of this IUTAM Symposium was to promote achievements in uncertainty quantification combined with multiscale modeling and to encourage research and development in this growing field with the aim of improving the safety and reliability of engineered materials and structures. Special emphasis was placed on multiscale material modeling and simulation as well as on the multiscale analysis and uncertainty quantification of fracture mechanics of heterogeneous media. The homogenization of two-phase random media was also thoroughly examined in several presentations. Various topics of multiscale stochastic mechanics, such as identification of material models, scale coupling, modeling of random microstructures, analysis of CNT-reinforced composites and stochastic finite elements, have been analyzed and discussed. A large number of papers were finally devoted to innovative methods in stochastic dynamics.


Advanced Materials, Structures and Mechanical Engineering

Advanced Materials, Structures and Mechanical Engineering

Author: Mosbeh Kaloop

Publisher: CRC Press

Published: 2016-04-14

Total Pages: 418

ISBN-13: 1315683008

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The International Conference on Advanced Materials, Structures and Mechanical Engineering 2015 (ICAMSME 2015) was held on May 29-31, Incheon, South-Korea. The conference was attended by scientists, scholars, engineers and students from universities, research institutes and industries all around the world to present ongoing research activities. This


Machine Learning for Cyber Physical Systems

Machine Learning for Cyber Physical Systems

Author: Jürgen Beyerer

Publisher: Springer Nature

Published: 2020-12-23

Total Pages: 130

ISBN-13: 3662627469

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This open access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains selected papers from the fifth international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Berlin, March 12-13, 2020. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.


Advanced Processing and Manufacturing Technologiesfor Structural and Multifunctional Materials VI, Volume 33, Issue 8

Advanced Processing and Manufacturing Technologiesfor Structural and Multifunctional Materials VI, Volume 33, Issue 8

Author: Tatsuki Ohji

Publisher: John Wiley & Sons

Published: 2012-11-28

Total Pages: 182

ISBN-13: 1118205987

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The 6th International Symposium on Advanced Processing and Manufacturing Technologies for Structural and Multifunctional Materials and Systems was held in January 2012 during the 36th International Conference and Exposition on Advanced Ceramics and Composites. This symposium examined progress resulting from the research and development of advanced processing and manufacturing technologies for a wide variety of non-oxide and oxide-based structural ceramics, particulate and fiber-reinforced composites, and multifunctional materials. This issue features seventeen of those papers, representing some of the most important developments in processing and manufacturing technologies.


Application of Imaging Techniques to Mechanics of Materials and Structures, Volume 4

Application of Imaging Techniques to Mechanics of Materials and Structures, Volume 4

Author: Tom Proulx

Publisher: Springer Science & Business Media

Published: 2012-08-15

Total Pages: 448

ISBN-13: 1441997962

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This the fourth volume of six from the Annual Conference of the Society for Experimental Mechanics, 2010, brings together 58 chapters on Application of Imaging Techniques to Mechanics of Materials and Structure. It presents findings from experimental and computational investigations involving a range of imaging techniques including Recovery of 3D Stress Intensity Factors From Surface Full-field Measurements, Identification of Cohesive-zone Laws From Crack-tip Deformation Fields, Application of High Speed Digital Image Correlation for Vibration Mode Shape Analysis, Characterization of Aluminum Alloys Using a 3D Full Field Measurement, and Low Strain Rate Measurements on Explosives Using DIC.