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Simulation by Bondgraphs: Introduction to a Graphical Method

Bondgraphs are a powerful tool in the simulation of mechanical, hydraulic, electric and thermal systems. They are used to represent engineering systems in written form by means of letter elements and their interconnections, called bonds, instead of in the form of numerous equations. They may be used to increase the efficiency of new product design. This book introduces the reader to bondgraphs and their use on PCs. A broad variety of applications of this method in the simulation of the above systems is presented. Twenty fully worked examples complement the presentation.

Simulation der Dauerfestigkeit einer autofrettierten Kraftstoffverteilerleiste (AutoUni – Schriftenreihe #144)

Im Common-Rail-Einspritzsystem bei Verbrennungsmotoren wird die Kraftstoffverteilerleiste durch pulsierenden Innendruck mit über 2000 bar beansprucht. Damit das Rail dauerfest ist, wird es autofrettiert. Sebastian Rogowski entwickelt mit Computersimulationen eine Prognosemethode für die Dauerfestigkeit des Rails. Dafür simuliert er ein Spannungsintensitätenfeld unter Berücksichtigung von Druckeigenspannungen und Innendruckbelastung. Der Autor kann so also Rissstoppkonturen in komplexen Bauteilen mit Eigenspannungen vorhersagen.Der Autor:Sebastian Rogowski ist Simulationsingenieur mit den Schwerpunkten statische FEM, Rissbildung und Materialmodellierung bei einem deutschen Automobilkonzern. Er hat berufsbegleitend an der Technischen Universität Carolo-Wilhelmina zu Braunschweig promoviert.

Simulation des dynamischen Verhaltens elektrohydraulischer Schaltungen: Einsatz von geräteorientierten, universellen Simulationsbausteinen (ISW Forschung und Praxis #50)

Simulation des Straßenverkehrs in der Großstadt: Das Mit- und Gegeneinander verschiedener Verkehrsteilnehmertypen

Jörg Dallmeyer untersucht die Simulation urbaner Verkehrsszenarien. Es werden verschiedene Verkehrsteilnehmertypen modelliert und in effiziente, valide Simulationsmodelle überführt. Das Straßennetz wird vollautomatisch modelliert, um den Verkehr ganzer Städte simulieren zu können. Der Autor entwickelt hierfür das Verkehrssimulationssystem MAINSIM – MultimodAle INnerstädtische StraßenverkehrsSIMulation und nutzt es für Fallstudien: z.B. maschinelle Lernverfahren zur Analyse und Beeinflussung des Verkehrs. Er untersucht die Auswirkungen exemplarischer, nonkonformer Handlungen von Autos, Fahrrädern und Fußgängern. Ein künstliches Pheromonsystem wird zur Verteilung des Verkehrs eingesetzt. Gemessene CO2-Emissionen werden mittels einer atmosphärischen Simulation anhand realer Wetter- und Geländedaten im Raum Frankfurt verteilt.

Simulation diskreter Prozesse: Methoden und Anwendungen (eXamen.press)

Dieses Buch führt in die Simulation diskreter Prozesse ein. Typische Anwendungsbeispiele sind Fertigungsprozesse, Strassenverkehrssituationen, Menschenströme und Geschäftsprozesse. Der Autor vermittelt die grundlegende ereignisorientierte Simulation sowie deren programmiertechnische Realisierung. Anhand vieler Beispiele wird die Lösung spezieller Detailprobleme mit grundlegendem Charakter gezeigt. Die durch die Optimierung von Geschäftsprozessen entstandenen neuen Herausforderungen bezüglich der Simulation bilden einen Schwerpunkt der Darstellung, ein separater Teil ist den theoretischen Grundlagen gewidmet. Lernziel des Buches ist die Fähigkeit, diskrete Prozesse mit den passenden Mitteln zu modellieren und dazu eine Simulationssoftware zu entwerfen bzw. die Mechanismen bestehender Simulationssoftware so zu begreifen, dass sie gewinnbringend eingesetzt werden kann. Die wichtigen Programmstrukturen sind in Form von Pseudocode dargestellt und dadurch völlig unabhängig von einer Programmiersprache oder Spezialsoftware. Damit ist das Buch für eine breite Leserschaft geeignet.

Simulation-Driven Design by Knowledge-Based Response Correction Techniques

Focused on efficient simulation-driven multi-fidelity optimization techniques, this monograph on simulation-driven optimization covers simulations utilizing physics-based low-fidelity models, often based on coarse-discretization simulations or other types of simplified physics representations, such as analytical models. The methods presented in the book exploit as much as possible any knowledge about the system or device of interest embedded in the low-fidelity model with the purpose of reducing the computational overhead of the design process. Most of the techniques described in the book are of response correction type and can be split into parametric (usually based on analytical formulas) and non-parametric, i.e., not based on analytical formulas. The latter, while more complex in implementation, tend to be more efficient.The book presents a general formulation of response correction techniques as well as a number of specific methods, including those based on correcting the low-fidelity model response (output space mapping, manifold mapping, adaptive response correction and shape-preserving response prediction), as well as on suitable modification of design specifications. Detailed formulations, application examples and the discussion of advantages and disadvantages of these techniques are also included. The book demonstrates the use of the discussed techniques for solving real-world engineering design problems, including applications in microwave engineering, antenna design, and aero/hydrodynamics.

Simulation-Driven Modeling and Optimization: ASDOM, Reykjavik, August 2014 (Springer Proceedings in Mathematics & Statistics #153)

This edited volume is devoted to the now-ubiquitous use of computational models across most disciplines of engineering and science, led by a trio of world-renowned researchers in the field. Focused on recent advances of modeling and optimization techniques aimed at handling computationally-expensive engineering problems involving simulation models, this book will be an invaluable resource for specialists (engineers, researchers, graduate students) working in areas as diverse as electrical engineering, mechanical and structural engineering, civil engineering, industrial engineering, hydrodynamics, aerospace engineering, microwave and antenna engineering, ocean science and climate modeling, and the automotive industry, where design processes are heavily based on CPU-heavy computer simulations. Various techniques, such as knowledge-based optimization, adjoint sensitivity techniques, and fast replacement models (to name just a few) are explored in-depth along with an array of the latest techniques to optimize the efficiency of the simulation-driven design process.High-fidelity simulation models allow for accurate evaluations of the devices and systems, which is critical in the design process, especially to avoid costly prototyping stages. Despite this and other advantages, the use of simulation tools in the design process is quite challenging due to associated high computational cost. The steady increase of available computational resources does not always translate into the shortening of the design cycle because of the growing demand for higher accuracy and necessity to simulate larger and more complex systems. For this reason, automated simulation-driven design—while highly desirable—is difficult when using conventional numerical optimization routines which normally require a large number of system simulations, each one already expensive.

Simulation dynamischer Systeme: Grundwissen, Methoden, Programme

1. Systemanalyse: Eine Einführung 1. 0 Überblick Unsere Wirklichkeit wird nicht so sehr geprägt durch die Einzelfunktionen ihrer vielen Bestandteile, sondern vielmehr durch deren Zusammenwirken. Manche Kom­ ponenten wirken stark aufeinander, andere nur schwach, weitere schließlich haben überhaupt nichts miteinander zu tun. Wir verwenden das Wort 'System', um damit eine Anzahl von Bestandteilen abzugrenzen, die untereinander relativ stark, mit ihrer gemeinsamen Systemumwelt aber nur relativ schwach interagieren und das so, daß man dem beobachteten Verhalten dieses Systems einen 'Zweck' zuordnen kann. Bei näherer Betrachtung ist unsere Realität voll solcher Systeme, und sogar voller Sy­ steme von Systemen: Menschen, Tiere, Pflanzen, Ökosysteme, Maschinen, Fabriken, Städte, Staaten. Um die Rolle der Systemanalyse zu diskutieren, befassen wir uns hier beispielhaft mit den komplexesten dieser Systeme: mit natürlichen Systemen (Orga­ nismen und Ökosystemen). Im Laufe der Evolution haben nur diejenigen natürlichen Systeme überleben können, denen es gelungen ist, Systemprozesse zu entwickeln, die ihre Erhaltung sichern, d. h. , die die Fähigkeit erworben haben, auch unter schwierigen und unerwarteten Bedin­ gungen zu überleben. Allerdings sind die meisten natürlichen Systeme nicht in der Lage, erfolgreich mit den schweren Störungen fertigzuwerden, die ihnen durch den hohen Ressourcenverbrauch und die Umweltbelastungen der modernen Gesell­ schaften aufgezwungen werden. Um die Zerstörung der ökologischen Basis und der natürlichen Ressourcen zu vermeiden, müssen wir lernen, diese Systeme in ihrem Verhalten besser zu verstehen und die Folgen unserer Handlungen zuverlässig abzu­ schätzen. Das Werkzeug für diese Aufgabe ist die Systemanalyse.

Simulation elektrischer Schaltungen auf dem Rechner (Fachberichte Simulation #5)

Simulation elektronischer Schaltungen mit MICRO-CAP: Eine Einführung für Studierende und Ingenieure/-innen in der Praxis

MICRO-CAP ist ein anwenderfreundliches und professionelles Simulationsprogramm für elektronische Schaltungen, das auf SPICE basiert. Das Buch führt anhand praxisorientierter Beispiele durch grundlegende Programmteile und Analysearten. Hierbei werden theoretische Hintergründe soweit erläutert, wie es für den erfolgreichen Einsatz des Programms nötig ist. Aufgrund des gewählten didaktischen Ansatzes „Learning by doing“ erarbeiten sich Leserin und Leser mit 120 angeleiteten Berechnungs- und Simulationsübungen aktiv und schrittweise die jeweiligen Themen. Dabei wird auf häufig auftretende Erstanwenderfehler hingewiesen. Für jede Übung ist die Lösung vorhanden. Dieses Buch richtet sich an Studierende eines Bachelor-/Diplomstudiengangs Elektrotechnik/Elektronik, Ingenieure/-innen in der Praxis, sowie alle, die die Simulation elektronischer Schaltungen mit diesem SPICE-basierenden Simulationsprogramm kennenlernen möchten.

Simulation for Applied Graph Theory Using Visual C++

The tool for visualization is Microsoft Visual C++. This popular software has the standard C++ combined with the Microsoft Foundation Classes (MFC) libraries for Windows visualization. This book explains how to create a graph interactively, solve problems in graph theory with minimum number of C++ codes, and provide friendly interfaces that makes learning the topics an interesting one. Each topic in the book comes with working Visual C++ codes which can easily be adapted as solutions to various problems in science and engineering.

Simulation for Cyber-Physical Systems Engineering: A Cloud-Based Context (Simulation Foundations, Methods and Applications)

This comprehensive book examines a range of examples, prepared by a diverse group of academic and industry practitioners, which demonstrate how cloud-based simulation is being extensively used across many disciplines, including cyber-physical systems engineering. This book is a compendium of the state of the art in cloud-based simulation that instructors can use to inform the next generation. It highlights the underlying infrastructure, modeling paradigms, and simulation methodologies that can be brought to bear to develop the next generation of systems for a highly connected society. Such systems, aptly termed cyber-physical systems (CPS), are now widely used in e.g. transportation systems, smart grids, connected vehicles, industrial production systems, healthcare, education, and defense. Modeling and simulation (M&S), along with big data technologies, are at the forefront of complex systems engineering research. The disciplines of cloud-based simulation and CPS engineering are evolving at a rapid pace, but are not optimally supporting each other’s advancement. This book brings together these two communities, which already serve multi-disciplinary applications. It provides an overview of the simulation technologies landscape, and of infrastructure pertaining to the use of cloud-based environments for CPS engineering. It covers the engineering, design, and application of cloud simulation technologies and infrastructures applicable for CPS engineering. The contributions share valuable lessons learned from developing real-time embedded and robotic systems deployed through cloud-based infrastructures for application in CPS engineering and IoT-enabled society. The coverage incorporates cloud-based M&S as a medium for facilitating CPS engineering and governance, and elaborates on available cloud-based M&S technologies and their impacts on specific aspects of CPS engineering.

Simulation for Industry 4.0: Past, Present, and Future (Springer Series in Advanced Manufacturing)

The book shows how simulation’s long history and close ties to industry since the third industrial revolution have led to its growing importance in Industry 4.0. The book emphasises the role of simulation in the new industrial revolution, and its application as a key aspect of making Industry 4.0 a reality – and thus achieving the complete digitisation of manufacturing and business. It presents various perspectives on simulation and demonstrates its applications, from augmented or virtual reality to process engineering, and from quantum computing to intelligent management. Simulation for Industry 4.0 is a guide and milestone for the simulation community, as well as those readers working to achieve the goals of Industry 4.0. The connections between simulation and Industry 4.0 drawn here will be of interest not only to beginners, but also to practitioners and researchers as a point of departure in the subject, and as a guide for new lines of study.

Simulation Gaming. Applications for Sustainable Cities and Smart Infrastructures: 48th International Simulation and Gaming Association Conference, ISAGA 2017, Delft, The Netherlands, July 10-14, 2017, Revised Selected Papers (Lecture Notes in Computer Science #10825)

This book constitutes the refereed post-conference proceedings of the 48th International Simulation and Gaming Association Conference, ISAGA 2018, held in Delft, The Netherlands, in July 2018. The 19 revised full papers included in the volume were carefully reviewed and selected from 27 submissions. The contributions to this book range from design thinking related to simulation gaming, the analysis of the consequences of design choices in games, to games for decision making, examples of games for business, climate change, maritime spatial planning, sustainable city development, supply chain, and much more.

Simulation Gaming Through Times and Disciplines: 50th International Simulation and Gaming Association Conference, ISAGA 2019, Warsaw, Poland, August 26–30, 2019, Revised Selected Papers (Lecture Notes in Computer Science #11988)

This book constitutes revised selected papers from the 50th International Simulation and Gaming Association Conference, ISAGA 2019, which took place in Warsaw, Poland, during August 26–30, 2019.The 38 papers presented in this volume were carefully reviewed and selected from 72 submissions. They were organized in topical sections named: simulation gaming in the science space; simulation gaming design and implementation; simulation games for current challenges; simulation games and gamification; and board perspective on simulation gaming.

Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation: International Workshops, Pocus 2018, Bivpcs 2018, Curious 2018, And Cpm 2018, Held In Conjunction With Miccai 2018, Granada, Spain, September 16 And 20, 2018. Proceedings (Lecture Notes in Computer Science #11042)

This book constitutes the refereed joint proceedings of the International Workshop on Point-of-Care Ultrasound, POCUS 2018, the International Workshop on Bio-Imaging and Visualization for Patient-Customized Simulations, BIVPCS 2017, the International Workshop on Correction of Brainshift with Intra-Operative Ultrasound, CuRIOUS 2018, and the International Workshop on Computational Precision Medicine, CPM 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018.The 10 full papers presented at POCUS 2018, the 4 full papers presented at BIVPCS 2018, the 8 full papers presented at CuRIOUS 2018, and the 2 full papers presented at CPM 2018 were carefully reviewed and selected. The papers feature research from complementary fields such as ultrasound image systems applications as well as signal and image processing, mechanics, computational vision, mathematics, physics, informatics, computer graphics, bio-medical-practice, psychology and industry. They discuss intra-operative ultrasound-guided brain tumor resection as well as pancreatic cancer survival prediction.

Simulation in Anästhesie und Intensivmedizin (Fachberichte Simulation #16)

Simulation in CIM (CIM-Fachmann)

Simulation in der Regelungstechnik (Fachberichte Simulation #12)

Die Simulation wird in der Regelungstechnik zum Entwurf von Regelkreisen, zur Prozeßüberwachung sowie zur regelungstechnischen Ausbildung genutzt. Anhand von Simulationen können theoretisch oder experimentell ermittelte Modelle entworfen und getestet werden; das gesamte Regelkreisverhalten kann optimiert werden. Die verschiedenen Simulationstechniken werden gegenüber gestellt, so daß jeweils die günstigste Wahl bezüglich des einzusetzenden Simulationswerkzeugs bzw. -verfahrens getroffen werden kann.

Simulation in Produktion und Logistik: Grundlagen und Anwendungen

Das vorliegende Lehrbuch gründet auf Simulationsvorlesungen der Autoren an ingenieur- und wirtschaftswissenschaftlichen Fakultäten, auf Erfahrungen aus durchgeführten Simulations­studien in der betrieblichen Praxis sowie aus Tätigkeiten in Forschungs­projekten und der Arbeit in Vereinigungen wie dem Verein Deutscher Ingenieure (VDI), der Arbeits­gemeinschaft Simulation (ASIM) oder der Gesellschaft für Operations Research (GOR). Das auf diese Weise entstandene Fachbuch erläutert die Grundlagen der ereignisdiskreten Simulation systematisch und bietet dabei zugleich einen engen Bezug zu den Anwendungen in Produktion und Logistik. Alle Inhalte werden durchgängig am Beispiel einer PC-Montage illustriert. Das Buch dient im Bereich Produktion und Logistik als Basis für Lehr­ver­an­stal­tun­gen in den einschlägigen Studiengängen des Maschinenbaus, des Wirt­schafts­ingenieurwesens, der Logistik, der Wirtschafts­informatik und der Be­triebswirtschaftslehre. Es richtet sich dabei gleichermaßen an Lehrende und Lernende der unterschiedlichen Fachrichtungen in diesem Bereich sowie an Fachleute aus der Industrie, die in Simulationsstudien für Produktion und Logistik eingebunden sind.

Simulation in Produktion und Logistik: Fallbeispielsammlung

Mit dieser Fallbeispielsammlung stellen zahlreiche Experten aus Universität und Praxis die vielfältigen Möglichkeiten und denkbaren Anwendungen der Simulation im Unternehmen vor. Das Buch ist zunächst einmal eine Informationsbasis für den Produktions- oder Logistikspezialisten im Unternehmen. Doch sollte eigentlich auch jeder angehende Ingenieur ein Exemplar des Buches im Schrank stehen haben, denn längst schon darf man die Simulation mit ihren vielfältigen Einsatzmöglichkeiten zum allgemeingültigen Wissenskanon des Ingenieurs zählen.

Simulation Methods for Reliability and Availability of Complex Systems (Springer Series in Reliability Engineering)

Simulation Methods for Reliability and Availability of Complex Systems discusses the use of computer simulation-based techniques and algorithms to determine reliability and availability (R and A) levels in complex systems. The book: shares theoretical or applied models and decision support systems that make use of simulation to estimate and to improve system R and A levels, forecasts emerging technologies and trends in the use of computer simulation for R and A and proposes hybrid approaches to the development of efficient methodologies designed to solve R and A-related problems in real-life systems. Dealing with practical issues, Simulation Methods for Reliability and Availability of Complex Systems is designed to support managers and system engineers in the improvement of R and A, as well as providing a thorough exploration of the techniques and algorithms available for researchers, and for advanced undergraduate and postgraduate students.

Simulation mit ACSL: Eine Einführung in die Modellbildung, numerischen Methoden und Simulation (Fortschritte in der Simulationstechnik)

Simulation, Modeling, and Programming for Autonomous Robots: Second International Conference, SIMPAR 2010, Darmstadt, Germany, November 15-18, 2010, Proceedings (Lecture Notes in Computer Science #6472)

Why are the many highly capable autonomous robots that have been promised for novel applications driven by society, industry, and research not available - day despite the tremendous progress in robotics science and systems achieved during the last decades? Unfortunately, steady improvements in speci?c robot abilities and robot hardware have not been matched by corresponding robot performance in real world environments. This is mainly due to the lack of - vancements in robot software that master the development of robotic systems of ever increasing complexity. In addition, fundamental open problems are still awaiting sound answers while the development of new robotics applications s- fersfromthelackofwidelyusedtools,libraries,andalgorithmsthataredesigned in a modular and performant manner with standardized interfaces. Simulation environments are playing a major role not only in reducing development time and cost, e. g. , by systematic software- or hardware-in-the-loop testing of robot performance, but also in exploring new types of robots and applications. H- ever,their use may still be regardedwith skepticism. Seamless migrationof code using robot simulators to real-world systems is still a rare circumstance, due to the complexity of robot, world, sensor, and actuator modeling. These challenges drive the quest for the next generation of methodologies and tools for robot development. The objective of the International Conference on Simulation, Modeling, and ProgrammingforAutonomous Robots (SIMPAR) is to o?er a unique forum for these topics and to bring together researchersfrom academia and industry to identify and solve the key issues necessary to ease the development of increasingly complex robot software.

Simulation, Modeling, and Programming for Autonomous Robots: 4th International Conference, SIMPAR 2014, Bergamo, Italy, October 20-23, 2014. Proceedings (Lecture Notes in Computer Science #8810)

This book constitutes the refereed proceedings of the 4th International Conference on Simulation, Modeling, and Programming for Autonomous Robots, SIMPAR 2014, held in Bergamo, Italy, in October 2014. The 49 revised full papers presented were carefully reviewed and selected from 62 submissions. The papers are organized in topical sections on simulation, modeling, programming, architectures, methods and tools, and systems and applications.