This book presents the language of random field theory and the principles of stochastic geometry in order to give the systematic and concise knowledge necessary for modeling real random heterogeneous media. This book is ideal for a general scientific audience needing an in-depth guide to current ideas, methods and models for the stochastic modeling of microstructures. It is an essential reference for practitioners, researchers and professionals in material modeling, mechanical engineering, materials science, chemical, civil, environmental engineering and applied mathematics.

"It is the objective of this book to provide the basic principles and results of the theory of random fields (both continuous and discrete) with special emphasis on methods that are important for the modeling of real random material microstructures. The book may be viewed as a comprehensive introduction to the field of stochastic modeling of material microstructures and will be useful for researchers and professionals in material modeling, engineering and in applied mathematics in general." Applications of Mathematics

Klappentext

This book is for a general scientific and engineering audience as a guide to current ideas, methods, and models for stochastic modeling of microstructures.

It is a reference for professionals in material modeling, mechanical engineering, materials science, chemical, civil, environmental engineering and applied mathematics.

Inhalt

1. Probability and Random Variables: A Short Résumé.- 1.1 Basic Concepts.- 1.2 Some Probability Distributions.- 1.3 Convergence of Sequences of Random Variables.- 1.4 Stochastic Processes.- 2. Continuous Random Fields.- 2.1 Basic Concepts.- 2.2 Homogeneous Random Fields.- 2.3 Isotropic Random Fields.- 2.4 Locally Homogeneous and Isotropic Random Fields.- 2.5 Space-Time Random Fields.- 2.6 Vector-Valued Random Fields.- 2.7 Tensor-Valued Random Fields.- 2.8 Markov Random Fields.- 2.9 Fields Governed by Stochastic Equations.- 3. Random Point Fields.- 3.1 Basic Properties.- 3.2 Poisson Random Fields.- 3.3 Boolean Random Fields.- 3.4 Markov and Gibbs Fields.- 3.5 Random Configurations of Objects.- 3.6 Random Set Patterns.- 4. Statistical Inference.- 4.1 Introductory Remarks.- 4.2 Estimation of Mean and Covariance.- 4.3 Estimation of Spectral Density.- 4.4 Prediction Problems: Kriging.- 4.5 Spatial Sampling Design.- 4.6 Inference for Point Fields.- 4.7 Stereology.- 4.8 Simulation and Remarks.- 5. Material Media Microstructure: Modeling Issues.- 5.1 Basic Characteristics of Microstructure.- 5.2 Averaging Procedures.- 5.3 Homogenization and Smoothing.- 5.4 Random Porous Media.- 5.5 Spatial Randomness in Solid Materials.- 6. Physical Phenomena in Random Microstructures: Selected Applications.- 6.1 Introductory Remarks.- 6.2 Wave Propagation.- 6.3 Pollution Transport in Groundwater.- 6.4 Deformation of Random Elastic Materials.- 6.5 Random Microstructure and Fracture.- 6.6 Other Problems and Remarks.- References.- Author Index.