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{ "item_title" : "Numerical Methods for Diffusion Phenomena in Building Physics", "item_author" : [" Nathan Mendes", "Marx Chhay", "Julien Berger "], "item_description" : "A brief history of diffusion in physicsPart I Basics of numerical methods for diffusion phenomena in building physics2. Heat and Mass Diffusion in Porous Building Elements2.1 A brief historical 2.2 Heat and mass diffusion models2.3 Boundary conditions2.4 Discretization2.5 Stability conditions 2.6 Linearization of boundary conditions or source terms2.7 Numerical algorithms2.8 Multitridiagonal-matrix algorithm 2.9 Mathematical model for a room air domain2.10 Hygrothermal models used in some available simulation tools2.11 Final remarks3. Finite-Difference Method3.1 Numerical methods for time evolution: ODE3.1.1 An introductory example3.1.2 Generalization 3.1.3 Systems of ODEs3.1.4 Exercises3.2 Parabolic PDE3.2.1 The heat equation in 1D 3.2.2 Nonlinear case 3.2.3 Applications in engineering 3.2.4 Heat equation in two and three space dimensions3.2.5 Exercises4. Basics in Practical Finite-Element Method4.1 Heat Equation4.1.1 Weak formulation and test functions4.1.2 Finite element representation 4.1.3 Finite element approximation 4.2 Finite element approach revisited4.2.1 Reference element4.2.2 Connectivity table 4.2.3 Stiffness matrix construction4.2.4 Final remarks Part II Advanced numerical methods5 Explicit schemes with improved CFL condition5.0.1 Some healthy criticism 5.1 Classical numerical schemes5.1.1 The Explicit scheme5.1.2 The Implicit scheme 5.1.3 The Leap-frog scheme5.1.4 The Crank-Nicholson scheme5.1.5 Information propagation speed5.2 Improved explicit schemes5.2.1 Dufort-Frankel method5.2.2 Saulyev method5.2.3 Hyperbolization method5.3 Discussion6 Reduced Order Methods6.1 Introduction6.1.1 Physical problem and Large Original Model6.1.2 Model reduction methods for Building physics application 6.2 Balanced truncation 6.2.1 Formulation of the ROM6.2.2 Marshall truncation Method6.2.3 Building the ROM6.2.4 Synthesis of the algorithm6.2.5 Application and exercise6.2.6 Remarks on the use of balanced truncation6.3 Modal Identification6.3.1 Formulation of the ROM6.3.2 Identification process6.3.3 Synthesis of the algorithm 6.3.4 Application and exercise6.3.5 Some remarks on the use of the MIM6.4 Proper Orthogonal Decomposition Basics6.4.2 Capturing the main information6.4.3 Building the POD model6.4.4 Synthesis of the algorithm6.4.5 Application and Exercise6.4.6 Remarks on the use of the POD 6.5 Proper Generalized Decomposition6.5.1 Basics6.5.2 Iterative solution6.5.3 Computing the modes6.5.4 Convergence of global enrichment6.5.5 Synthesis of the algorithm6.5.6 Application and Exercise6.5.7 Remarks on the use of the PGD6.6 Final remarks7. Boundary Integral Approaches 7.1 Basic BIEM7.1.1 Domain and boundary integral expressions7.1.2 Green function and boundary integral formulation7.1.3 Numerical formulation7.2 Trefftz method7.2.1 Trefftz indirect method 7.2.2 Method of fundamental solutions7.2.3 Trefftz direct method7.2.4 Final remarks8. Spectral Methods8.1 Introduction to spectral methods8.1.1 Choice of the basis8.1.2 Determining ex", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/03/031/576/3030315762_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Numerical Methods for Diffusion Phenomena in Building Physics|Nathan Mendes

Numerical Methods for Diffusion Phenomena in Building Physics : A Practical Introduction

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A brief history of diffusion in physics Part I Basics of numerical methods for diffusion phenomena in building physics 2. Heat and Mass Diffusion in Porous Building Elements 2.1 A brief historical 2.2 Heat and mass diffusion models 2.3 Boundary conditions 2.4 Discretization 2.5 Stability conditions 2.6 Linearization of boundary conditions or source terms 2.7 Numerical algorithms 2.8 Multitridiagonal-matrix algorithm 2.9 Mathematical model for a room air domain 2.10 Hygrothermal models used in some available simulation tools 2.11 Final remarks 3. Finite-Difference Method 3.1 Numerical methods for time evolution: ODE 3.1.1 An introductory example 3.1.2 Generalization 3.1.3 Systems of ODEs 3.1.4 Exercises 3.2 Parabolic PDE 3.2.1 The heat equation in 1D 3.2.2 Nonlinear case 3.2.3 Applications in engineering 3.2.4 Heat equation in two and three space dimensions 3.2.5 Exercises 4. Basics in Practical Finite-Element Method 4.1 Heat Equation 4.1.1 Weak formulation and test functions 4.1.2 Finite element representation 4.1.3 Finite element approximation 4.2 Finite element approach revisited 4.2.1 Reference element 4.2.2 Connectivity table 4.2.3 Stiffness matrix construction 4.2.4 Final remarks Part II Advanced numerical methods 5 Explicit schemes with improved CFL condition 5.0.1 Some healthy criticism 5.1 Classical numerical schemes 5.1.1 The Explicit scheme 5.1.2 The Implicit scheme 5.1.3 The Leap-frog scheme 5.1.4 The Crank-Nicholson scheme 5.1.5 Information propagation speed 5.2 Improved explicit schemes 5.2.1 Dufort-Frankel method 5.2.2 Saulyev method 5.2.3 Hyperbolization method 5.3 Discussion 6 Reduced Order Methods 6.1 Introduction 6.1.1 Physical problem and Large Original Model 6.1.2 Model reduction methods for Building physics application 6.2 Balanced truncation 6.2.1 Formulation of the ROM 6.2.2 Marshall truncation Method 6.2.3 Building the ROM 6.2.4 Synthesis of the algorithm 6.2.5 Application and exercise 6.2.6 Remarks on the use of balanced truncation 6.3 Modal Identification 6.3.1 Formulation of the ROM 6.3.2 Identification process 6.3.3 Synthesis of the algorithm 6.3.4 Application and exercise 6.3.5 Some remarks on the use of the MIM 6.4 Proper Orthogonal Decomposition Basics 6.4.2 Capturing the main information 6.4.3 Building the POD model 6.4.4 Synthesis of the algorithm 6.4.5 Application and Exercise 6.4.6 Remarks on the use of the POD 6.5 Proper Generalized Decomposition 6.5.1 Basics 6.5.2 Iterative solution 6.5.3 Computing the modes 6.5.4 Convergence of global enrichment 6.5.5 Synthesis of the algorithm 6.5.6 Application and Exercise 6.5.7 Remarks on the use of the PGD 6.6 Final remarks 7. Boundary Integral Approaches 7.1 Basic BIEM 7.1.1 Domain and boundary integral expressions 7.1.2 Green function and boundary integral formulation 7.1.3 Numerical formulation 7.2 Trefftz method 7.2.1 Trefftz indirect method 7.2.2 Method of fundamental solutions 7.2.3 Trefftz direct method 7.2.4 Final remarks 8. Spectral Methods 8.1 Introduction to spectral methods 8.1.1 Choice of the basis 8.1.2 Determining ex

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  • ISBN-13: 9783030315764
  • ISBN-10: 3030315762
  • Publisher: Springer
  • Publish Date: January 2021
  • Dimensions: 9.21 x 6.14 x 0.55 inches
  • Shipping Weight: 0.82 pounds
  • Page Count: 245

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