Simulation and Modeling Methodologies, Technologies and Applications: 12th International Conference, SIMULTECH 2022, Lisbon, Portugal, July 14–16, ... (Lecture Notes in Networks and Systems)

This present book includes a set of selected best extended papers from the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2022), that was held in Lisbon, Portugal, from July 14 to 16, 2022. The conference brought together researchers, engineers and practitioners interested in methodologies and applications of modeling and simulation. New and innovative solutions are reported in this book. A selection was made after the conference, based also on the conference chairs assessment, reviewers’ assessment, quality of presentation and audience interest, so that this book includes the extended and revised versions of the very best papers of the conference. New and innovative solutions are reported in this book. Preface 6 Organization 7 Contents 10 Modelling and Design-for-Manufacturing of an Aerosol-on-Demand Jet-Printhead 12 1 Introduction 12 2 Theoretical Considerations for CFD Modelling of the AoD Jet-Printhead 14 3 Design-for-Manufacturing Considerations of the Printhead 15 4 Experimental Determination of Modelling Parameters 16 5 CFD Modelling 20 5.1 Geometry Model 20 5.2 Meshing 22 6 Results of CFD-Simulations 24 6.1 Modelling of Ink and Sheath Gas 24 6.2 Determination of the Operating Point 24 6.3 Steady-State and Transient Considerations 26 7 Manufacturing of the Printhead 28 8 Conclusions 29 References 30 Agent-Based Simulation Framework to Plan Dental Caries Prevention: Awareness Aspect 33 1 Introduction 33 2 Literature Review 35 3 Simulation Model 37 3.1 Hybrid Model 37 3.2 Model Verification 40 4 Simulation Scenarios and Results 41 4.1 What-If Scenarios 41 4.2 Results and Discussion 42 5 Conclusions 44 References 45 SIS-ASTROS: An Integrated Simulation Environment for the Artillery Saturation Rocket System (ASTROS) 47 1 Introduction 47 2 Literature Review 49 2.1 Life, Virtual and Constructive Military Simulations 49 2.2 Related Work 51 3 SIS-ASTROS Simulation Environment Overview 53 3.1 SIS-ASTROS Architectural Perspective 53 3.2 Illustrative Case Study 54 4 The Virtual Tactical PRO Simulator 55 4.1 Architectural Design of the Virtual Tactical PRO Simulator 55 4.2 Virtual Tactical Simulator Operation Possibilities 59 4.3 Implementation Details 60 5 The Artificial Intelligence Support 61 5.1 Agent Navigation in Simulation Systems 62 5.2 The Need for Different Levels of Autonomy in Local and Global Navigation Behavior 64 5.3 Navigation Support of the Computer Generated Forces in SIS-ASTROS 65 5.4 Case Study 68 6 Distributed Simulation 69 6.1 The Distributed Simulation Architecture 69 6.2 Employed Standards and Developed Techniques 71 6.3 Case Study on the Integration Between the Virtual Tactic PRO Simulator and a Constructive Simulator 71 7 Conclusions and Future Work 74 References 74 Verification and Validation Utilizing Carla Simulator for Autonomous Driving Development 77 1 Introduction 78 1.1 Motivation 78 2 Background 79 2.1 V-Model 79 2.2 Development Methodology 80 2.3 Driving Simulation 82 2.4 Responsibility-Sensitive Safety (RSS) 82 3 The Simulation Environment 83 3.1 The Conceptions of a Simulation-Driven Development 83 3.2 Writing Test Scenarios 84 3.3 A Modeling of Actors and Harsh Environments 84 4 Simulation and Evaluation 87 4.1 First Scenario: AEB-VRU Test Scenario 87 4.2 Results and Evaluation 89 4.3 Second Scenario: Responsibility-Sensitive Safety (RSS) 91 5 Conclusion 95 References 96 Optimizing Communication in Molecular Dynamics Simulations on HPC Clusters 97 1 Introduction 97 1.1 The Who and the What 98 1.2 The Base for This Work 98 1.3 What You Will Find Here 99 2 Molecular Dynamics Simulation 99 2.1 The Trinity of Load Distribution 99 2.2 Simplifying Reality: The FMM 100 3 Communication in MDS: A Categorization 102 3.1 Bottom Layer: Communication 103 3.2 Middle Layer: Data Selection 106 3.3 Top Layer: Symmetry 108 4 What Remains to Be Said 109 4.1 Summary 109 4.2 Future Work 109 References 110 Enhancing the Recovered Gradient of the Finite Element Solution for a Class of Differential Equations 112 1 Introduction 112 2 Preliminaries 113 3 The Modified PPR 114 3.1 The Superconvergence of the MPPR 115 4 Numerical Results 120 5 Conclusion 124 References 125 Household Structure Projection Using Monte-Carlo Simulation and Its Effectiveness Analysis in an Infectious Disease Transmission Model 127 1 Introduction 127 2 Background 129 2.1 Related Work 129 2.2 Simulation System 130 2.3 Data Description 131 3 Problem and Algorithm 131 3.1 PopuSet 132 4 Experimental Design 135 5 Validation 137 5.1 Statistics 137 5.2 RMSE Comparison 137 5.3 Simulation Result Comparison 138 6 Result and Discussion 140 7 Conclusions 141 References 142 Simulation of Swarm Intelligence for Flexible Job-Shop Scheduling with SwarmFabSim: Case Studies with Artificial Hormones and an Ant Algorithm 144 1 Introduction 144 2 Related Work 146 3 Agent-Based Modeling for Flexible Job-Shop Scheduling 149 3.1 NetLogo for ABM Simulation 149 3.2 Modeling Job-Shop Scheduling 150 4 Simulation of an ABM for a Smart Factory 151 4.1 The User Interface 152 4.2 Configuration Files 154 4.3 Architecture and Implementation Details 154 4.4 Example Code 156 4.5 Log File Output 156 5 Case Study: Hormone and Ant Algorithms for Fab Optimization 157 5.1 The Hormone Algorithm 157 5.2 The Ant Algorithm 159 5.3 Fab Scenario Setup 161 5.4 Performance Results 161 6 Conclusion 163 References 164 A Numerical Comparison of Lagrange and Kane's Method for Modeling and Crashworthiness Assessment of a Modified Vehicle 167 1 Introduction 167 2 Methodology 169 2.1 Defining the Equations of Motion 171 2.2 Kane's Formulation LPM (K-LPM) 176 2.3 Validation with an FE Model 180 3 Results and Discussion 181 4 Conclusion 185 References 185 Midas: An Open-Source Framework for Simulation-Based Analysis of Energy Systems 188 1 Motivation 188 2 State of the Art 190 3 Multi-domain Test Scenario 191 3.1 Motivation and Goals 191 3.2 The Architecture 191 3.3 The Scenario 193 3.4 Available Modules 194 3.5 Scenario Configuration 195 4 Performance Evaluation 196 5 Sampling of Power Grid Models 197 6 Surrogate Models for Power Grid Models 199 6.1 The Input Vector 199 6.2 The Output Vector 199 6.3 The Surrogate Function 200 6.4 The Error 200 6.5 The Training 200 6.6 The Test 200 7 Evaluation 201 8 Conclusion 203 References 204 Flood Fill-Based Techniques for Large-Scale Changes in QuadTree Terrain Representations for Agent-Based Modelling and Simulation Systems 206 1 Introduction 207 2 Background to This Work 209 3 Related Work 210 4 The Simulation System Architecture 213 5 Representation and Computation of Large-Scale Terrain Changes 216 5.1 The Computation of Flooding Changes in the QuadTree Terrain Representation Structure 218 5.2 The Computation of Wildfire Changes in the QuadTree Terrain Representation Structure 221 6 Experiments and Results 222 6.1 River Flooding Test Results 223 6.2 Wildfire Test Results 226 6.3 An Analysis of the Test Results 227 7 Concluding Remarks 228 References 228 Author Index 231