Statistical Analysis of Microstructures in Materials Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Analysis of Microstructures in Materials Science write by Joachim Ohser. This book was released on 2000-12-19. Statistical Analysis of Microstructures in Materials Science available in PDF, EPUB and Kindle. The investigation of the origin and formation of microstructures and the effect that microstructure has on the properties of materials are important issues in materials science and technology. Geometrical analysis is often the key to understanding the formation of microstructures and the resulting material properties. The authors make use of mathematical morphology, spatial statistics, image processing, stereology and stochastic geometry to analyze microstructures arising in materials science. * Quantitative microstructure analysis is one of the most successful experimental techniques in materials science * Uses examples to demonstrate the techniques * Program code included enables the reader to apply the numerous algorithms * Accessible to material scientists with limited statistical knowledge Primarily aimed at applied materials scientists, the book will also appeal to those working and researching in earth sciences, material technology, mineralogy, petrography, image analysis, cytology and biology.
Statistical Methods for Materials Science
Statistical Methods for Materials Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Methods for Materials Science write by Jeffrey P. Simmons. This book was released on 2019-02-13. Statistical Methods for Materials Science available in PDF, EPUB and Kindle. Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to microstructure characterization. It contains valuable guidance on essential topics such as denoising and data modeling. Additionally, the analysis and applications section addresses compressed sensing methods, stochastic models, extreme estimation, and approaches to pattern detection.
Statistical Methods for Materials Science
Statistical Methods for Materials Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Methods for Materials Science write by Jeffrey P. Simmons. This book was released on 2019-02-13. Statistical Methods for Materials Science available in PDF, EPUB and Kindle. Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to microstructure characterization. It contains valuable guidance on essential topics such as denoising and data modeling. Additionally, the analysis and applications section addresses compressed sensing methods, stochastic models, extreme estimation, and approaches to pattern detection.
Statistical Modeling and Simulation for Microstructure in Materials Science
Statistical Modeling and Simulation for Microstructure in Materials Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Modeling and Simulation for Microstructure in Materials Science write by . This book was released on 1998. Statistical Modeling and Simulation for Microstructure in Materials Science available in PDF, EPUB and Kindle. The main accomplishment in this project consists of two parts: (I) Reconstruction cycle in microstructure modeling; and (II) Computation of effective properties via Markov chain Monte Carlo (MCMC) algorithms. The details are contained in Derr (1998) -- a draft of Ph. D. dissertation entitled 'Statistical modeling of microstructure with applications to effective property computation in materials science' by Bob Derr under the supervision of Chuanshu Ji. One of the most important issues in materials science is the connection between materials properties, e.g., conductivity, elastic moduli, strength, etc. and microstructures. Along this line, many computer models were proposed to generate synthetic microstructures on which some numerical schemes, e.g., finite element, were used to calculate the materials properties of interest, assuming the local properties satisfy certain partial differential equations for stress/strain or diffusions. On the other hand, experimentation was conducted in laboratories which measures those properties from real materials. A significant gap exists between these two aspects of the study due to the lack of methodology for fitting the computer models (i.e., estimating the parameters in those models) based on the real microstructure data.
Random Heterogeneous Materials
Random Heterogeneous Materials - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Random Heterogeneous Materials write by Salvatore Torquato. This book was released on 2013-04-17. Random Heterogeneous Materials available in PDF, EPUB and Kindle. This accessible text presents a unified approach of treating the microstructure and effective properties of heterogeneous media. Part I deals with the quantitative characterization of the microstructure of heterogeneous via theoretical methods; Part II treats a wide variety of effective properties of heterogeneous materials and how they are linked to the microstructure, accomplished by using rigorous methods.
