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ویرایش: نویسندگان: Gerd Wagner, Frank Werner, Tuncer Oren, Floriano De Rango سری: Lecture Notes in Networks and Systems, 601 ISBN (شابک) : 3031231481, 9783031231483 ناشر: Springer سال نشر: 2023 تعداد صفحات: 236 [237] زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 28 Mb
در صورت تبدیل فایل کتاب Simulation and Modeling Methodologies, Technologies and Applications: International Online Conference (SIMULTECH 2021) به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب روشها، فناوریها و کاربردهای شبیهسازی و مدلسازی: کنفرانس بینالمللی آنلاین (SIMULTECH 2021) نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
کتاب حاضر شامل مجموعه مقالات برگزیده یازدهمین کنفرانس بینالمللی شبیهسازی و مدلسازی روشها، فناوریها و کاربردها (SIMULTECH 2021) است که به صورت آنلاین از 7 تا 9 جولای 2021 برگزار شد. این کنفرانس محققین و دست اندرکاران را گرد هم آورد. علاقه مند به روش ها و کاربردهای مدل سازی و شبیه سازی. راه حل های جدید و نوآورانه در این کتاب گزارش شده است. پس از کنفرانس نیز بر اساس ارزیابی کرسی های کنفرانس، ارزیابی داوران، کیفیت ارائه و علاقه مخاطبان، انتخاب شد، به طوری که این کتاب شامل نسخه های توسعه یافته و اصلاح شده از بهترین مقالات کنفرانس است.
The present book includes a set of selected papers from the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2021) that was held as an online event, from July 7 to 9, 2021. The conference brought together researchers 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.
Preface Organization Contents Development and Extended Validation of a Lumped Parameter Prediction Model for Analysing Injury Parameters in a Vehicle Crash 1 Introduction 2 Methodology 2.1 FEM Simulations for Validation 2.2 Description of the Lumped Parameter Model 2.3 Vehicle Crash Model - Phase I 2.4 Vehicle Crash Model - Phase II 2.5 Robustness Check 3 Results and Discussion 3.1 Phase I 3.2 Phase II 3.3 Robustness Check 4 Conclusions References Integrating GPU-Accelerated Tetrahedral Mesh Editing and Simulation 1 Introduction 2 Related Work 2.1 GPU-Accelerated Mesh Processing 2.2 Tetrahedral Mesh Editing 2.3 GPU-Accelerated Finite Element Analysis 2.4 Distributed CAD/CAE 3 Distributed Editing and Simulation 3.1 Workflow and Communication 3.2 Mapping CAD Surfaces 3.3 Front End 3.4 Modeling and Simulation Services 3.5 Speculative Simulation 4 GPU-Accelerated Geometry Editing 4.1 Surface Mesh Extraction 4.2 Volumetric Hole Filling 4.3 Erosion 5 Results 6 Conclusions 6.1 Future Work References Performance Study of Vertical Submersible Pump in Terms of Induced Loads and Vibrations 1 Introduction 2 Model Description 3 Mathematical Formulation 3.1 Liquid Flow Velocity and Pressure [17] 3.2 Axial and Radial Forces 3.3 Stresses and Strains [17] 3.4 Mechanical Vibrations in the Vertical Submersible Pumps 3.5 Diffuser Equations [17] 4 Numerical Implementation, Submersible Pump Modeling and Simulation Steps 5 Results and Discussion 6 Conclusion References Comparison of Modelling Approaches and Solvers on Harmonic Studies for Renewable Energy Integration 1 Introduction 2 Modelling Approach 2.1 Symmetrical Components 2.2 Harmonic Source Modelling 3 Simulation Results and Discussion 3.1 Network Description 3.2 Frequency Scans 3.3 Harmonic Load Flow 3.4 Frequency-Dependent Impedance Model and Harmonic Analysis 4 Conclusion References Stretching Simulation of Viscoelastic Fluid with Spring Connection 1 Introduction 2 Previous Studies 3 Simulation Method 3.1 Governing Equations 3.2 High Precision Calculation 3.3 Constitutive Equation 3.4 Spring Model 4 Simulation and Results 5 Conclusions References SysML and Petri Nets Based Methodology for Analysis and Performance Evaluation in WSNs 1 Introduction 2 Background 2.1 SysML 2.2 Deterministic Stochastic Petri Nets 3 Related Work 4 Methodology and Mapping Rules 5 Running Example 5.1 SysML AD to DSPN Transformation 5.2 Preliminary Verification 5.3 Energy Consumption Evaluation 6 Conclusion References Growing Bioinspired Synthetic Landscape Ecologies and the Adequacy of Object Oriented Programming 1 Introduction 2 Material and Method 2.1 Model Purpose 2.2 Context: Research in Rodents’ Bio-Ecology and Epidemiology 2.3 Approach: Growing the Model as a Heuristic 2.4 Use of Computer Paradigms 3 Results 3.1 The Emerging Architecture 3.2 Use of Object-Oriented Paradigms 4 Discussion 4.1 Genericity, Robustness and Reusability 4.2 Influence of Formalism on Results 5 Conclusion References On Advanced Modeling of Compressors and Weighted Mix Iteration for Simulation of Gas Transport Networks 1 Introduction 2 Modeling of Gas Compressors 3 Warp Transformation 4 Mix Iteration 5 Results of Numerical Tests 6 Conclusions References Quasi-static Optimal Control Strategy of Lattice Boom Crane Based on Large-Scale Flexible Non-linear Dynamics 1 Introduction 2 Modeling of Lattice Boom Crane 2.1 Single Beam Elements 2.2 Super Truss Element 2.3 Lattice Boom Crane 3 Quasi-static Optimal Control 3.1 Quasi-static Optimal Trajectory Tracking Strategy 3.2 Detailed Implementation Steps 4 Simulation and Analysis 4.1 Simulation for Lattice Boom Crane 4.2 Quasi-static Optimal Control of Lattice Boom Crane 5 Conclusion and Outlook References Simulation Conditionally to a Subvariety and Application to Bayesian Optimization: A Dichotomous Approach 1 Introduction 2 Toward a Generic Sampling Approach 2.1 Condiderations About Interval Analysis 2.2 Naive Dichotomous Approach for Sampling 3 Generic Dichotomous Approaches for Sampling 3.1 Some Containment of the Curse of Dimension 3.2 Incremental Algorithm 3.3 Practical Implementation and Parallelism 4 Application to Bayesian Optimization 5 Examples and Tests 5.1 Simulation: Test Cases 5.2 Simulation: Case (a) 5.3 Simulation: Case (b) 5.4 Simulation: Case (c) 5.5 Bayesian Optimization 6 Conclusion References A Python-Based Mixed Discrete-Continuous Simulation Framework for Digital Twins 1 Introduction 1.1 A Review of Simulation Approaches for Digital Twins 1.2 Motivation and Design Goals 2 Framework for Mixed Discrete-Continuous Simulation 2.1 The Events Interface 2.2 Implementation 3 A Modeling Example 3.1 Heater 3.2 Fluid Tank 3.3 The System 4 An Improved Scheme for Time Advancement 5 Future Work and Conclusions References Author Index