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دانلود کتاب Multiscale Model Reduction. Multiscale Finite Element Methods and Their Generalizations

دانلود کتاب کاهش مدل چند مقیاس. روشهای عناصر محدود چند مقیاس و کلیات آنها

Multiscale Model Reduction. Multiscale Finite Element Methods and Their Generalizations

مشخصات کتاب

Multiscale Model Reduction. Multiscale Finite Element Methods and Their Generalizations

ویرایش:  
نویسندگان: , ,   
سری: Applied Mathematical Sciences, Volume 212 
ISBN (شابک) : 9783031204081, 9783031204098 
ناشر: Springer 
سال نشر: 2023 
تعداد صفحات: 500 
زبان: English 
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) 
حجم فایل: 11 مگابایت 

قیمت کتاب (تومان) : 68,000



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فهرست مطالب

Contents
Notations
1 Introduction
	1.1 Challenges and motivation
		1.1.1 Multiscale problems
		1.1.2 Numerical challenges of solving multiscale problems
	1.2 Multiscale model reduction concepts
		1.2.1 Exemplary problems
		1.2.2 Fine and coarse grids
		1.2.3 Scale separation approaches
		1.2.4 Multiscale finite element methods and some related methods
		1.2.5 The need for a systematic multiscale model reduction approach
	1.3 The basic concepts of Generalized Multiscale Finite Element Method (GMsFEM)
		1.3.1 General idea of GMsFEM.
		1.3.2 Multiscale basis functions and snapshot spaces
		1.3.3 Reducing the degrees of freedom.
		1.3.4 Constraint minimization concepts and mesh dependent convergence
		1.3.5 The relation to upscaling and novel upscaled concepts
		1.3.6 Adaptivity
		1.3.7 Nonlinearities
		1.3.8 Methodological ingredients of GMsFEM
		1.3.9 High contrast and scale issues
		1.3.10 Modeling with multiscale methods and applications
		1.3.11 Efficient temporal discretizations with multiscale methods
		1.3.12 Learning and multiscale methods
	1.4 Relevant literature review
	1.5 Overview of the content of the book
	1.6 Objectives
2 Homogenization and numerical homogenization of linear equations
	2.1 Homogenization for linear problems with oscillatory coefficients. Main concepts
		2.1.1 Elliptic equations with heterogeneous coefficients
		2.1.2 Homogenization of parabolic equations
		2.1.3  Homogenization of convection-diffusion equation
		2.1.4 Homogenization of convection-diffusion reaction equations
	2.2 Numerical homogenization for linear problems with oscillatory …
		2.2.1 A motivation
		2.2.2 Local problems and macroscopic equations
		2.2.3 Convergence results for numerical homogenization
		2.2.4 The choice of boundary conditions in numerical homogenization. Oversampling
		2.2.5 Increasing representative volume size
		2.2.6 Improving numerical homogenization
		2.2.7 Numerical homogenization for space-time heterogeneous problems
	2.3 Homogenization in perforated regions
		2.3.1 Homogenization of Stokes equations
	2.4 Numerical homogenization in perforated domains
3 Local model reduction. Introduction  to Multiscale Finite Element Methods
	3.1 Multiscale finite element methods
		3.1.1 Finite element with multiscale basis functions
		3.1.2 Basic idea of MsFEM
		3.1.3 Using smaller regions in computing multiscale basis functions
	3.2 Reducing boundary effects
		3.2.1 Motivation
		3.2.2 Oversampling technique
	3.3 Comparison to other multiscale methods
		3.3.1 Comparison to numerical homogenization
		3.3.2 Comparison to variational multiscale
		3.3.3 Comparison to heterogeneous multiscale method
	3.4 Performance and implementation issues
		3.4.1 Cost and performance
	3.5 Convergence of multiscale finite element methods
		3.5.1 The analysis of conforming multiscale finite element method
	3.6 Mixed MsFEM
	3.7 MsFEM for parabolic equations
	3.8 MsFEM using limited global information
4 Generalized multiscale finite element methods. Main concepts and overview
	4.1 Introduction
		4.1.1 Overview
	4.2 Setup
	4.3 Parameter-independent case
		4.3.1 Examples of snapshot spaces. Oversampling and non-oversampling
		4.3.2 Offline spaces
		4.3.3 A numerical example
	4.4 Online space for parameter-dependent case
	4.5 An example of enrichment. The importance of local spectral problem
		4.5.1 Reduced-dimensional coarse spaces
	4.6 Iterative solvers - online correction of fine-grid solution
	4.7 Some numerical studies
		4.7.1 Case with no parameter
		4.7.2 Elliptic equation with the parameter
	4.8 Randomized snapshots
		4.8.1 Overview
		4.8.2 Randomized oversampling
		4.8.3 Numerical results
5 Adaptive strategies
	5.1 Introduction
	5.2 Preliminaries
	5.3 A-posteriori error estimates and adaptive enrichment
	5.4 Numerical results for offline adaptivity
		5.4.1 Comparison with uniform enrichment
		5.4.2 Performance study
	5.5 Residual-based online adaptivity
	5.6 Numerical results for online adaptivity
		5.6.1 Comparison of using different numbers of initial basis
		5.6.2 Adaptive online enrichment
6 Selected global formulations  for GMsFEM and energy stable oversampling
	6.1 Introduction
	6.2 Global formulations
		6.2.1 Preliminaries
		6.2.2 Mixed GMsFEM
		6.2.3 GMsDGM
		6.2.4 Nonconforming GMsFEM
		6.2.5 GMsHDG
		6.2.6 General concept of energy stable (minimizing) oversampling
	6.3 Basis construction
		6.3.1 Multiscale basis functions in mixed GMsFEM
		6.3.2 Multiscale basis functions in GMsDGM
		6.3.3 Multiscale basis functions in nonconforming GMsFEM
		6.3.4 Multiscale basis functions in GMsHDG
	6.4 Numerical results
		6.4.1 Mixed GMsFEM
		6.4.2 GMsDGM
7 Constraint energy minimizing concepts
	7.1 Introduction
	7.2 Preliminaries
	7.3 Construction of multiscale basis functions
	7.4 Numerical results
	7.5 Relaxed CEM-GMsFEM
	7.6 Construction of online basis functions
	7.7 Numerical results using online basis functions
8 Non-local multicontinua upscaling
	8.1 Introduction
	8.2 Preliminaries
	8.3 The non-local multicontinua upscaling
		8.3.1 Multicontinua functions
		8.3.2 Transmissibility computations
		8.3.3 Approximation using local multiscale basis
	8.4 Time-dependent problem
	8.5 Numerical results
		8.5.1 Steady state case
		8.5.2 Time-dependent case
	8.6 Coupled GMsFEM-NLMC at different resolutions
9 Space-time GMsFEM
	9.1 Introduction
	9.2 Space-time GMsFEM
		9.2.1 Preliminaries and motivation
		9.2.2 Construction of offline basis functions
		9.2.3 Error estimates
	9.3 Numerical results for offline GMsFEM
	9.4 Residual-based online adaptive procedure
	9.5 Numerical results for online GMsFEM
10 Multiscale methods for perforated domains
	10.1 Introduction
	10.2 Preliminaries
		10.2.1 Problem setting
		10.2.2 Coarse- and fine-grid notations
		10.2.3 Outline of GMsFEM
	10.3 The construction of offline and online basis functions
		10.3.1 Elasticity problem
		10.3.2 Stokes problem
	10.4 Numerical results
		10.4.1 Elasticity equations in perforated domain
		10.4.2 Stokes equations in perforated domain
	10.5 Convergence results
11 Multiscale stabilization
	11.1 Introduction
	11.2 Preliminaries
	11.3 Generalized multiscale finite element method for Petrov-Galerkin approximations
		11.3.1 Construction of the multiscale trial space
		11.3.2 Construction of the multiscale test space
		11.3.3 Global coupling
		11.3.4 Summary of the procedures for the offline method
		11.3.5 Discussion
		11.3.6 Online test basis construction (residual-driven correction)
	11.4 Numerical results
12 GMsFEM for selected applications
	12.1 Multiscale methods for elasticity equations
		12.1.1 Preliminaries
		12.1.2 Construction of multiscale basis functions
		12.1.3 Numerical result
	12.2 Multiscale methods for multi-phase flow and transport
	12.3 Multiscale methods for acoustic wave propagation: Mixed formulation
		12.3.1 Problem description
		12.3.2 Multiscale basis functions
		12.3.3 The mixed GMsFEM
		12.3.4 Numerical results
	12.4 Multiscale methods for flows in fractured media: Applications to shale gas transport
		12.4.1 Model problem
		12.4.2 Fine-scale discretization
		12.4.3 Coarse-grid discretization using GMsFEM: Offline spaces
		12.4.4 Randomized oversampling GMsFEM
		12.4.5 Residual-based adaptive online GMsFEM
	12.5 Non-local multicontinua upscaling for poroelasticity in fractured media
		12.5.1 Embedded fracture model for poroelastic medium
		12.5.2 Fine-grid approximation of the coupled system
		12.5.3 Coarse-grid upscaled model for coupled problem
		12.5.4 Numerical results
	12.6 Multiscale methods for elastic wave propagation in fractured media
		12.6.1 Problem formulation
		12.6.2 Fine-scale discretization
		12.6.3 Coarse-scale discretization
		12.6.4 Numerical results
	12.7 GMsFEM for stochastic problems using clustering
		12.7.1 Preliminaries
		12.7.2 Outline of the method
		12.7.3 The construction of offline space
		12.7.4 Numerical results
	12.8 GMsFEM for uncertainty quantification in inverse problems
		12.8.1 Preliminaries
		12.8.2 GMsFEM for parameter-dependent problem
		12.8.3 Multilevel Monte Carlo methods
		12.8.4 Multilevel Markov chain Monte Carlo
		12.8.5 Numerical results
	12.9 Other applications
13 Homogenization and numerical homogenization of nonlinear equations
	13.1 Monotone and pseudomonotone operators
	13.2 Homogenization
	13.3 Numerical homogenization (computation of effective parameters)
		13.3.1 Pre-computing the effective coefficients
		13.3.2 Parabolic equation
	13.4 MsFEM for nonlinear problems
		13.4.1 Multiscale finite volume element method (MsFVEM)
		13.4.2 Examples of VH
		13.4.3 MsFEM for parabolic equations
	13.5 Remark on the analysis of MsFEM for nonlinear problems
14 GMsFEM for nonlinear problems
	14.1 Introduction
	14.2 Preliminaries and motivation
		14.2.1 Preliminaries and notations
		14.2.2 Motivation
	14.3 The GMsFEM
		14.3.1 Partition of unity functions
		14.3.2 Multiscale basis
	14.4 Convergence of the method
	14.5 Numerical implementation and results
		14.5.1 Numerical results
15 Nonlinear non-local multicontinua upscaling
	15.1 Introduction
	15.2 Preliminaries
		15.2.1 Preliminaries. A brief overview of NLMC for linear problems
	15.3 Nonlinear non-local multicontinua model (NLNLMC)
		15.3.1 General concept
		15.3.2 Nonlinear non-local multicontinuum approach
	15.4 Linear approach
		15.4.1 Linear transport
		15.4.2 Single-phase flow
		15.4.3 Two-phase flow
	15.5 Nonlinear approach
	15.6 RVE-based non-local multicontinua approaches
		15.6.1 NLNLMC on RVE-scale
		15.6.2 RVE-based NLNLMC
		15.6.3 Examples
16 Global-local multiscale model reduction using GMsFEM
	16.1 Introduction
	16.2 Preliminaries
		16.2.1 Model problem
		16.2.2 Discrete empirical interpolation method (DEIM)
		16.2.3 Generalized multiscale finite element method (GMsFEM)
	16.3 Global-local nonlinear model reduction
		16.3.1 Local multiscale model reduction
		16.3.2 Global-local nonlinear model reduction approach
	16.4 Numerical results
		16.4.1 Single offline parameter
		16.4.2 Multiple offline parameters
17 Multiscale methods in temporal splitting. Efficient implicit-explicit methods for multiscale problems
	17.1 Introduction
	17.2 Partially explicit temporal splitting scheme
	17.3 Spaces construction
		17.3.1 Construction of VH,1
		17.3.2 Construction of VH,2
	17.4 Numerical results
Appendix  References
Index




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