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Computer simulation. --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing
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Computer simulation. --- Cloud computing. --- Big data. --- Data sets, Large --- Large data sets --- Data sets --- Electronic data processing --- Web services --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Distributed processing
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Machine learning. --- Computer simulation. --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Learning, Machine --- Artificial intelligence --- Machine theory
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The book covers intimately all the topics necessary for the development of a robust magnetohydrodynamic (MHD) code within the framework of the cell-centered finite volume method (FVM) and its applications in space weather study. First, it presents a brief review of existing MHD models in studying solar corona and the heliosphere. Then it introduces the cell-centered FVM in three-dimensional computational domain. Finally, the book presents some applications of FVM to the MHD codes on spherical coordinates in various research fields of space weather, focusing on the development of the 3D Solar-InterPlanetary space-time Conservation Element and Solution Element (SIP-CESE) MHD model and its applications to space weather studies in various aspects. The book is written for senior undergraduates, graduate students, lecturers, engineers and researchers in solar-terrestrial physics, space weather theory, modeling, and prediction, computational fluid dynamics, and MHD simulations. It helps readers to fully understand and implement a robust and versatile MHD code based on the cell-centered FVM. .
Solar system. --- Computer simulation. --- Solar and Heliospheric Physics . --- Numerical and Computational Physics, Simulation. --- Simulation and Modeling. --- Data-driven Science, Modeling and Theory Building. --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Physics. --- Sociophysics. --- Econophysics. --- Economics --- Statistical physics --- Mathematical sociology --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Statistical methods
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Despite the increasing interest in multidimensional combustion engine simulation from researchers and industry, the field of application has been restricted to stationary operating points for turbocharged engines. Andreas Kächele presents a 3D-CFD approach to extend the simulation into the transient regime, enabling the detailed analysis of phenomena during changes in engine operating point. The approach is validated by means of a virtual hot gas test bench and experiments on a two-cylinder engine. Contents Approaches for the Turbocharger Integration into the 3D-CFD Simulation Domain Validation by Means of a Virtual Hot Gas Test Bench Comparison of the 0D-Turbocharger against Experimental Data from a Two-cylinder Engine Target Groups Researcher and students of internal combustion engines Engine developers and automotive engineers About the Author Andreas Kächele was research associate at the Research Institute of Automotive Engineering and Vehicle Engines (FKFS) in Stuttgart, Germany, focusing on multidimensional engine simulation. After obtaining his PhD from Prof. Dr.-Ing. M. Bargende, he continues to work in the virtual engine design with emphasis on combustion process development.
Automobiles --- Turbochargers. --- Turbo-chargers --- Turbosuperchargers --- Compressors --- Turbomachines --- Motors --- Automotive engineering. --- Engines. --- Machinery. --- Computer simulation. --- Automotive Engineering. --- Engine Technology. --- Simulation and Modeling. --- Machinery --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Machines --- Manufactures --- Power (Mechanics) --- Technology --- Mechanical engineering --- Power transmission --- Curious devices
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This book examines the origins and dynamical characteristics of atmospheric inertia-gravity waves in the Antarctic mesosphere. Gravity waves are relatively small-scale atmospheric waves with a restoring force of buoyancy that can transport momentum upward from the troposphere to the middle atmosphere. In previous studies, the dynamical characteristics of mesospheric gravity waves have not been fully examined using numerical simulations, since performing a numerical simulation with a high resolution and a high model-top requires considerable computational power. However, recent advances in computational capabilities have allowed us to perform numerical simulations using atmospheric general circulation models, which cover the troposphere to the mesosphere with a sufficiently fine horizontal resolution to resolve small-scale gravity waves. The book first describes the simulation of mesospheric gravity waves using a high-resolution non-hydrostatic atmospheric model with a high model top. The accuracy of the numerical results was confirmed by the first Mesosphere-Stratosphere-Troposphere/Incoherent Scattering (MST/IS) radar observation in the Antarctic. It also depicts the origins and propagation processes of mesospheric gravity waves on the basis of the results of the high-resolution numerical model. The behaviors of mesospheric gravity waves can be clearly explained using both fundamental and cutting-edge theories of fluid dynamics.
Geophysics. --- Computer simulation. --- Atmospheric sciences. --- Fluids. --- Geophysics and Environmental Physics. --- Geophysics/Geodesy. --- Simulation and Modeling. --- Atmospheric Sciences. --- Fluid- and Aerodynamics. --- Hydraulics --- Mechanics --- Physics --- Hydrostatics --- Permeability --- Atmospheric sciences --- Earth sciences --- Atmosphere --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Geological physics --- Terrestrial physics --- Gravity waves. --- Hydrodynamics --- Waves
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This volume covers the recent advances and research on the modeling and simulation of materials. The primary aim is to take the reader through the mathematical analysis to the theories of electricity and magnetism using multiscale modelling, covering a variety of numerical methods such as finite difference time domain (FDTD), finite element method (FEM) and method of moments. The book also introduces the multiscale Green’s function (GF) method for static and dynamic modelling and simulation results of modern advanced nanomaterials, particularly the two-dimensional (2D) materials. This book will be of interest to researchers and industry professionals working on advanced materials.
Materials --- Computer simulation. --- Optical and Electronic Materials. --- Characterization and Evaluation of Materials. --- Simulation and Modeling. --- Mathematical models. --- Engineering --- Engineering materials --- Industrial materials --- Engineering design --- Manufacturing processes --- Optical materials. --- Electronic materials. --- Materials science. --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Material science --- Physical sciences --- Electronic materials --- Optics
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Bülent Sari deals with the various fail-operational safety architecture methods developed with consideration of domain ECUs containing multicore processors and describes the model-driven approaches for the development of the safety lifecycle and the automated DFA. The methods presented in this study provide fail-operational system architecture and safety architecture for both conventional domains such as powertrains and for ADAS/AD systems in relation to the processing chain from sensors to actuators. Contents Fail-Operational Safety Architectures for ADAS/AD Systems ASIL Decomposition for ADAS/AD Systems Model-driven Approaches for ISO 26262 Work Products and DFA A Model-driven Approach for DFA Using Modified EAST-ADL Target Groups Researchers and students in the field of autonomous driving and functional safety Automotive engineers in these fields About the Author Bülent Sari works as a functional safety expert for autonomous driving projects. His doctoral thesis was supervised at the Institute of Internal Combustion Engines and Automotive Engineering, University of Stuttgart, Germany. He is a technical lead for not only functional safety in vehicles, but also for SOTIF, embracing the ISO 26262 standard as well as ISO PAS 21448. In this role, he coordinates and organizes the safety case execution of several product groups within different divisions of ZF. .
Automotive engineering. --- Microprocessors. --- Computer simulation. --- Automotive Engineering. --- Processor Architectures. --- Simulation and Modeling. --- Driver assistance systems --- System failures (Engineering) --- Automobiles --- Safety measures. --- Minicomputers --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing
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State-of-the-art airbag algorithms make a decision to fire restraint systems in a crash by evaluating the deceleration of the entire vehicle during the single events of the accident. In order to meet the ever increasing requirements of consumer test organizations and global legislators, a detailed knowledge of the nature and direction of the crash would be of great benefit. The algorithms used in current vehicles can only do this to a limited extent. André Leschke presents a completely different algorithm concept to solve these problems. In addition to vehicle deceleration, the chronological sequence of an accident and the associated local and temporal destruction of the vehicle are possible indicators for an accident’s severity. Contents State of the art: Vehicle Structure, Restraint Systems, Electronic Systems and Algorithm for Crash Detection Model Proposal for the Description of Threshold-based Algorithms Simulation Model for Component-specific Local Loading New Algorithm Concept for Crash Detection based on Local Component-specific Loads and for the Classification of Load Cases Target Groups Scientists and students in the field of automotive and mechanical engineering Engineers working in industrial research and development of vehicle safety About the Author Dr. André Leschke has earned his doctoral degree from Tor-Vergata University of Rome, Italy. Currently, he is working as head of a team of vehicle safety developers in the German automotive industry.
Automotive engineering. --- Electrical engineering. --- Computer simulation. --- Automotive Engineering. --- Electrical Engineering. --- Simulation and Modeling. --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Electric engineering --- Engineering --- Automobiles --- Collision avoidance systems. --- Collision avoidance systems in automobiles --- Driver assistance systems --- Traffic safety --- Collision warning systems --- Safety appliances
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Digital Twin Development and Deployment in the Cloud: Developing Cloud-Friendly Dynamic Models Using Simulink®/SimscapeTM and Amazon AWS promotes a physics-based approach to the field of digital twins. Through the use of multiphysics models running in the cloud, significant improvement to the diagnostics and prognostic of systems can be attained. The book draws a clear definition of digital twins, helping business leaders clearly identify the value it brings. In addition, it outlines the key elements needed for deployment, including the hardware and software tools needed. Special attention is paid to the process of developing and deploying the multi-physics models of the digital twins. Provides a high-level overview of digital twins and their underutilization in the field of asset management and maintenance Proposes a streamline process to create digital twins for a wide variety of applications using MATLAB® Simscape" Deploys developed digital twins on Amazon Web Services Includes MATLAB and Simulink codes available for free download on MATLAB central Covers popular prototyping hardwares, such as Arduino and Raspberry Pi.
Digital control systems. --- Automatic control --- Electronic digital computers --- Cloud computing. --- Internet of things. --- IoT (Computer networks) --- Things, Internet of --- Computer networks --- Embedded Internet devices --- Machine-to-machine communications --- Electronic data processing --- Web services --- Distributed processing --- Computer simulation. --- Digital control systems --- Computer programs. --- Design. --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing
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