LEADER 07033nam 22003973 450 001 9910497099203321 005 20210901203648.0 010 $a3-030-72884-6 035 $a(CKB)4100000012009597 035 $a(MiAaPQ)EBC6714024 035 $a(Au-PeEL)EBL6714024 035 $a(EXLCZ)994100000012009597 100 $a20210901d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntroduction to Computational Fluid Dynamics $eDevelopment, Application and Analysis 210 1$aCham :$cSpringer International Publishing AG,$d2021. 210 4$d©2022. 215 $a1 online resource (355 pages) 311 $a3-030-72883-8 327 $aIntro -- Foreword -- Preface -- Contents -- About the Author -- Part I Introduction and Essentials -- 1 Introduction -- 1.1 CFD: What Is It? -- 1.1.1 CFD as a Scientific and Engineering Analysis Tool -- 1.1.2 Analogy with a Video Camera -- 1.2 CFD: Why to Study? -- 1.3 Novelty, Scope, and Purpose of This Book -- References -- 2 Introduction to CFD: Development, Application, and Analysis -- 2.1 CFD Development -- 2.1.1 Grid Generation: Pre-Processor -- 2.1.2 Discretization Method: Algebraic Formulation -- 2.1.3 Solution Methodology: Solver -- 2.1.4 Computation of Engineering Parameters: Post-Processor -- 2.1.5 Testing -- 2.2 CFD Application -- 2.3 CFD Analysis -- 2.4 Closure -- References -- 3 Essentials of Fluid Dynamics and Heat Transfer for CFD -- 3.1 Physical Laws -- 3.1.1 Fundamental/Conservation Laws -- 3.1.2 Subsidiary Laws -- 3.2 Momentum and Energy Transport Mechanisms -- 3.3 Physical Law-Based Differential Formulation -- 3.3.1 Continuity Equation -- 3.3.2 Transport Equations -- 3.4 Generalized Volumetric and Flux Terms, and Their Differential Formulation -- 3.4.1 Volumetric Term -- 3.4.2 Flux-Term -- 3.4.3 Discussion -- 3.5 Mathematical Formulation -- 3.5.1 Dimensional Study -- 3.5.2 Non-Dimensional Study -- 3.6 Closure -- References -- 4 Essentials of Numerical-Methods for CFD -- 4.1 Finite Difference Method: A Differential to Algebraic Formulation for Governing PDE and BCs -- 4.1.1 Grid Generation -- 4.1.2 Finite Difference Method -- 4.1.3 Applications to CFD -- 4.2 Iterative Solution of System of LAEs for a Flow Property -- 4.2.1 Iterative Methods -- 4.2.2 Applications to CFD -- 4.3 Numerical Differentiation for Local Engineering parameters -- 4.3.1 Differentiation Formulas -- 4.3.2 Applications to CFD -- 4.4 Numerical Integration for the Total Value of Engineering Parameters -- 4.4.1 Integration Rules -- 4.4.2 Applications to CFD. 327 $a4.5 Closure -- References -- Part II CFD for a Cartesian-Geometry -- 5 Computational Heat Conduction -- 5.1 Physical Law-based Finite Volume Method -- 5.1.1 Energy Conservation Law for a Control Volume -- 5.1.2 Algebraic Formulation -- 5.1.3 Approximations -- 5.1.4 Approximated Algebraic Formulation -- 5.1.5 Discussion -- 5.2 Finite Difference Method for Boundary Conditions -- 5.3 Flux-based Solution Methodology on a Uniform Grid: Explicit Method -- 5.3.1 One-Dimensional Conduction -- 5.3.2 Two-Dimensional Conduction -- 5.4 Coefficients of LAE-based Solution Methodology on a Non-uniform Grid:Explicit and Implicit Method -- 5.4.1 One-Dimensional Conduction -- 5.4.2 Two-Dimensional Conduction -- References -- 6 Computational Heat Advection -- 6.1 Physical Law-based Finite Volume Method -- 6.1.1 Energy Conservation Law for a Control Volume -- 6.1.2 Algebraic Formulation -- 6.1.3 Approximations -- 6.1.4 Approximated Algebraic Formulation -- 6.1.5 Discussion -- 6.2 Flux-based Solution Methodology on a Uniform Grid: Explicit Method -- 6.2.1 Explicit Method -- 6.2.2 Implementation Details -- 6.2.3 Solution Algorithm -- 6.3 Coefficients of LAEs-Based Solution Methodology on a Non-Uniform Grid: Explicit and Implicit Method -- 6.3.1 Advection Scheme on a Non-Uniform Grid -- 6.3.2 Explicit and Implicit Method -- 6.3.3 Implementation Details -- 6.3.4 Solution Algorithm -- References -- 7 Computational Heat Convection -- 7.1 Physical Law-based Finite Volume Method -- 7.1.1 Energy Conservation Law for a Control Volume -- 7.1.2 Algebraic Formulation -- 7.1.3 Approximated Algebraic Formulation -- 7.2 Flux-based Solution Methodology on a Uniform Grid: Explicit Method -- 7.2.1 Explicit Method -- 7.2.2 Implementation Details -- 7.2.3 Solution Algorithm -- 7.3 Coefficients of LAEs-based Solution Methodology on a Non-Uniform Grid: Explicit and Implicit Method. 327 $aReferences -- 8 Computational Fluid Dynamics: Physical Law-Based Finite Volume Method -- 8.1 Generalized Variables for the Combined Heat and Fluid Flow -- 8.2 Conservation Laws for a Control Volume -- 8.3 Algebraic Formulation -- 8.4 Approximations -- 8.5 Approximated Algebraic Formulation -- 8.5.1 Mass Conservation -- 8.5.2 Momentum/Energy Conservation -- 8.6 Closure -- 9 Computational Fluid Dynamics on a Staggered Grid -- 9.1 Challenges in the CFD Development -- 9.1.1 Non-Linearity -- 9.1.2 Equation for Pressure -- 9.1.3 Pressure-Velocity Decoupling -- 9.2 A Staggered Grid: One of the First Strategies ... -- 9.3 Physical Law-Based FVM for a Staggered Grid -- 9.4 Flux-based Solution Methodology on a Uniform Grid: Semi-Explicit Method -- 9.4.1 Philosophy of Pressure-Correction Method -- 9.4.2 Semi-Explicit Method -- 9.4.3 Implementation Details -- 9.4.4 Solution Algorithm -- 9.5 Initial and Boundary Conditions -- 9.5.1 Initial Condition -- 9.5.2 Boundary Condition -- References -- 10 Computational Fluid Dynamics on a Co-Located Grid -- 10.1 Momentum Interpolation Method: Strategy to Avoid the Pressure-Velocity Decoupling on a Co-Located Grid -- 10.2 Coefficients of LAEs-based Solution Methodology on a Non-Uniform Grid: Semi-Explicit and Semi-Implicit Method -- 10.2.1 Predictor Step -- 10.2.2 Corrector Step -- 10.2.3 Solution Algorithm -- References -- Part III CFD for a Complex-Geometry -- 11 Computational Heat Conduction on a Curvilinear Grid -- 11.1 Curvilinear Grid Generation -- 11.1.1 Algebraic Grid Generation -- 11.1.2 Elliptic Grid Generation -- 11.2 Physical Law-based Finite Volume Method -- 11.2.1 Unsteady and Source Term -- 11.2.2 Diffusion Term -- 11.2.3 All Terms -- 11.3 Computation of Geometrical Properties -- 11.4 Flux-based Solution Methodology -- 11.4.1 Explicit Method -- 11.4.2 Implementation Details -- References. 327 $a12 Computational Fluid Dynamics on a Curvilinear Grid -- 12.1 Physical Law-based Finite Volume Method -- 12.1.1 Mass Conservation -- 12.1.2 Momentum Conservation -- 12.2 Solution Methodology: Semi-Explicit Method -- 12.2.1 Predictor Step -- 12.2.2 Corrector Step -- References -- Index. 517 $aIntroduction to Computational Fluid Dynamics 608 $aElectronic books. 676 $a620.10640285 700 $aSharma$b Atul$0917023 801 0$bMiAaPQ 906 $aBOOK 912 $a9910497099203321 996 $aIntroduction to Computational Fluid Dynamics$92055837 997 $aUNINA LEADER 06293nam 22008895 450 001 9910768467603321 005 20251226195529.0 010 $a3-540-78839-5 024 7 $a10.1007/978-3-540-78839-3 035 $a(CKB)1000000000490916 035 $a(SSID)ssj0000319830 035 $a(PQKBManifestationID)11224629 035 $a(PQKBTitleCode)TC0000319830 035 $a(PQKBWorkID)10338572 035 $a(PQKB)11104566 035 $a(DE-He213)978-3-540-78839-3 035 $a(MiAaPQ)EBC3068713 035 $a(PPN)125218656 035 $a(Au-PeEL)EBL3068713 035 $a(CaPaEBR)ebr10533873 035 $a(CaONFJC)MIL185659 035 $a(OCoLC)233974034 035 $a(EXLCZ)991000000000490916 100 $a20100301d2008 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aResearch in Computational Molecular Biology $e12th Annual International Conference, RECOMB 2008, Singapore, March 30 - April 2, 2008, Proceedings /$fedited by Martin Vingron, Limsoon Wong 205 $a1st ed. 2008. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2008. 215 $a1 online resource (XVI, 480 p.) 225 1 $aLecture Notes in Bioinformatics,$x2366-6331 ;$v4955 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-540-78838-7 320 $aIncludes bibliographical references and index. 327 $aComputational Biology: Its Challenges Past, Present, and Future -- Bootstrapping the Interactome: Unsupervised Identification of Protein Complexes in Yeast -- CompostBin: A DNA Composition-Based Algorithm for Binning Environmental Shotgun Reads -- Reconstructing the Evolutionary History of Complex Human Gene Clusters -- Ab Initio Whole Genome Shotgun Assembly with Mated Short Reads -- Orchestration of DNA Methylation -- BayCis: A Bayesian Hierarchical HMM for Cis-Regulatory Module Decoding in Metazoan Genomes -- A Combined Expression-Interaction Model for Inferring the Temporal Activity of Transcription Factors -- A Fast, Alignment-Free, Conservation-Based Method for Transcription Factor Binding Site Discovery -- The Statistical Power of Phylogenetic Motif Models -- Transcriptional Regulation and Cancer Genomics -- Automatic Recognition of Cells (ARC) for 3D Images of C. elegans -- Spectrum Fusion: Using Multiple Mass Spectra for De Novo Peptide Sequencing -- A Fragmentation Event Model for Peptide Identification by Mass Spectrometry -- A Bayesian Approach to Protein Inference Problem in Shotgun Proteomics -- De Novo Sequencing of Nonribosomal Peptides -- Systems Metabolic Engineering -- Protein Function Prediction Based on Patterns in Biological Networks -- Automatic Parameter Learning for Multiple Network Alignment -- An Integrative Network Approach to Map the Transcriptome to the Phenome -- Fast and Accurate Alignment of Multiple Protein Networks -- High-Resolution Modeling of Cellular Signaling Networks -- At the Origin of Life: How Did Folded Proteins Evolve? -- Locating Multiple Gene Duplications through Reconciled Trees -- Rapid and Accurate Protein Side Chain Prediction with Local Backbone Information -- Algorithms for Joint Optimization of Stability and Diversity in Planning Combinatorial Libraries of Chimeric Proteins -- DLIGHT ? Lateral Gene Transfer Detection Using Pairwise Evolutionary Distances in a Statistical Framework -- Computation of Median Gene Clusters -- BCL-2: From Translocation to Therapy -- Detecting Disease-Specific Dysregulated Pathways Via Analysis of Clinical Expression Profiles -- Constructing Treatment Portfolios Using Affinity Propagation -- Bubbles: Alternative Splicing Events of Arbitrary Dimension in Splicing Graphs -- More Efficient Algorithms for Closest String and Substring Problems -- Disruption of a Transcriptional Regulatory Pathway Contributes to Phenotypes in Carriers of Ataxia Telangiectasia -- Accounting for Non-genetic Factors Improves the Power of eQTL Studies -- Effects of Genetic Divergence in Identifying Ancestral Origin Using HAPAA -- On the Inference of Ancestries in Admixed Populations -- Increasing Power in Association Studies by Using Linkage Disequilibrium Structure and Molecular Function as Prior Information -- Panel Construction for Mapping in Admixed Populations Via Expected Mutual Information -- Constructing Level-2 Phylogenetic Networks from Triplets -- Accurate Computation of Likelihoods in the Coalescent with Recombination Via Parsimony. 330 $aThis book constitutes the refereed proceedings of the 12th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2008. 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