Computational science -- ICCS 2020 : 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings. Part VII / Valeria V. Krzhizhanovskaya, Gábor Závodszky, Michael H. Lees, Jack J. Dongarra, Peter M. A. Sloot, Sérgio Brissos, João Teixeira (eds.).

Print version record.

Intro -- Preface -- Twenty Years of Computational Science -- Organization -- Contents -- Part VII -- Simulations of Flow and Transport: Modeling, Algorithms and Computation -- Decoupled and Energy Stable Time-Marching Scheme for the Interfacial Flow with Soluble Surfactants -- Abstract -- 1 Introduction -- 2 Governing Equation -- 3 Numerical Scheme -- 3.1 Energy Stable First-Order Scheme -- 4 Numerical Results -- 5 Conclusion -- References -- A Numerical Algorithm to Solve the Two-Phase Flow in Porous Media Including Foam Displacement -- 1 Introduction -- 2 Model Problem -- 3 Numerical Method

3.1 The Sequential Algorithm -- 3.2 Hybrid Mixed Finite Element Method for Darcy Flow -- 3.3 High Order Central-Upwind Scheme for the Transport Problem -- 4 Numerical Results -- 5 Conclusions and Remarks -- References -- A Three-Dimensional, One-Field, Fictitious Domain Method for Fluid-Structure Interactions -- 1 Introduction -- 2 One-Field Fictitious Domain Method -- 2.1 Control Partial Differentiation Equations -- 2.2 Finite Element Weak Form -- 2.3 Discretisation in Time -- 2.4 An Operator Splitting Scheme -- 2.5 Linearisation of the Diffusion Step -- 2.6 Iterative Linear Algebra Solver

3 Numerical Experiments -- 3.1 Oscillating Ball -- 3.2 Oscillating Cylinder -- 3.3 Oscillating Tri-Leaflets -- 4 Conclusions -- References -- Multi Axes Sliding Mesh Approach for Compressible Viscous Flows -- Abstract -- 1 Introduction -- 2 Numerical Approach -- 2.1 Governing Equation -- 2.2 Numerical Schemes -- 2.3 Evaluation on a Boundary -- 3 Sliding Mesh Approach -- 3.1 Multi Axes Sliding Mesh Approach -- 3.2 Multi Axes Sliding Mesh for Viscous Flow Computation -- 3.2.1 Evaluation of the First Derivative on a Sliding Surface

3.2.2 Evaluation of the First Derivative on an Element Having both a Sliding Surface and Boundary -- 3.2.3 Prism Element on Sliding Surface -- 4 Verification of the Multi Axes Sliding Mesh Approach -- 4.1 Application to a Flow Around a Sphere -- 4.2 Initial Mesh and Computational Conditions -- 4.3 Computational Result -- 5 Conclusion -- Acknowledgments -- References -- Monolithic Arbitrary Lagrangian-Eulerian Finite Element Method for a Multi-domain Blood Flow-Aortic Wall Interaction Problem -- 1 Introduction -- 2 A Model of Fluid-Structure Interaction (FSI) Problem

3 ALE Mapping and the Weak Form in ALE Description -- 4 The Monolithic ALE Finite Element Approximation -- 4.1 The Semi-discrete Scheme of ALE Finite Element Method -- 4.2 The Fully Discrete Scheme of ALE Finite Element Method -- 4.3 Nonlinear Iteration Algorithm -- 5 Numerical Experiments -- References -- Morphing Numerical Simulation of Incompressible Flows Using Seamless Immersed Boundary Method -- 1 Introduction -- 2 Morphing Numerical Simulation Using Seamless Immersed Boundary Method -- 2.1 Governing Equations -- 2.2 Numerical Method -- 2.3 Seamless Immersed Boundary Method

2.4 Morphing Numerical Simulation

Includes author index.

The seven-volume set LNCS 12137, 12138, 12139, 12140, 12141, 12142, and 12143 constitutes the proceedings of the 20th International Conference on Computational Science, ICCS 2020, held in Amsterdam, The Netherlands, in June 2020.* The total of 101 papers and 248 workshop papers presented in this book set were carefully reviewed and selected from 719 submissions (230 submissions to the main track and 489 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms and Solvers; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Biomedical and Bioinformatics Challenges for Computer Science Part IV: Classifier Learning from Difficult Data; Complex Social Systems through the Lens of Computational Science; Computational Health; Computational Methods for Emerging Problems in (Dis- )Information Analysis Part V: Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems; Computer Graphics, Image Processing and Artificial Intelligence Part VI: Data Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; Meshfree Methods in Computational Sciences; Multiscale Modelling and Simulation; Quantum Computing Workshop Part VII: Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainties; Teaching Computational Science; UNcErtainty QUantIficatiOn for ComputationAl modeLs *The conference was canceled due to the COVID-19 pandemic. Chapter 'APE: A Command-Line Tool and API for Automated Workflow Composition is available open access under a Creative Commons Attribution 4.0 Interna tional License via link.springer.com.