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Aviation safety can be greatly enhanced by the expeditious use of computer simulations of crash impact. Unlike automotive impact testing, which is now routine, experimental crash tests of even small aircraft are expensive and complex due to the high cost of the aircraft and the myriad of crash impact conditions that must be considered. Ultimately, the goal is to utilize full-scale crash simulations of aircraft for design evaluation and certification. The objective of this publication is to describe "best practices" for modeling aircraft impact using explicit nonlinear dynamic finite element codes such as LS-DYNA, DYNA3D, and MSC.Dytran. Although "best practices" is somewhat relative, it is hoped that the authors' experience will help others to avoid some of the common pitfalls in modeling that are not documented in one single publication. In addition, a discussion of experimental data analysis, digital filtering, and test-analysis correlation is provided. Finally, some examples of aircraft crash simulations are described in several appendices following the main report.Fasanella, Edwin L. and Jackson, Karen E.Langley Research CenterAIRCRAFT SAFETY; NONLINEARITY; FINITE ELEMENT METHOD; AIRCRAFT ACCIDENTS; COMPUTERIZED SIMULATION; CRASHES; IMPACT TESTS; AIRCRAFT DESIGN; AUTOMOBILES; CERTIFICATION; CORRELATION; COSTS; FLIGHT SAFETY
Best Practice: Process Innovation Management highlights best practice in innovation by bringing together practitioners and researchers in this field. This book presents contributions from leading academics and practitioners involved with innovation. They bring together all the strands of research, best practice and advice establishing an essential source of information for all involved with process innovation management.
Commissioned by the Society for Modeling and Simulation International (SCS), this needed, useful new ‘Body of Knowledge’ (BoK) collects and organizes the common understanding of a wide collection of professionals and professional associations. Modeling and simulation (M&S) is a ubiquitous discipline that lays the computational foundation for real and virtual experimentation, clearly stating boundaries—and interactions—of systems, data, and representations. The field is well known, too, for its training support via simulations and simulators. Indeed, with computers increasingly influencing the activities of today’s world, M&S is the third pillar of scientific understanding, taking its place along with theory building and empirical observation. This valuable new handbook provides intellectual support for all disciplines in analysis, design and optimization. It contributes increasingly to the growing number of computational disciplines, addressing the broad variety of contributing as well as supported disciplines and application domains. Further, each of its sections provide numerous references for further information. Highly comprehensive, the BoK represents many viewpoints and facets, captured under such topics as: Mathematical and Systems Theory Foundations Simulation Formalisms and Paradigms Synergies with Systems Engineering and Artificial Intelligence Multidisciplinary Challenges Ethics and Philosophy Historical Perspectives Examining theoretical as well as practical challenges, this unique volume addresses the many facets of M&S for scholars, students, and practitioners. As such, it affords readers from all science, engineering, and arts disciplines a comprehensive and concise representation of concepts, terms, and activities needed to explain the M&S discipline. Tuncer Ören is Professor Emeritus at the University of Ottawa. Bernard Zeigler is Professor Emeritus at the University of Arizona. Andreas Tolk is Chief Scientist at The MITRE Corporation. All three editors are long-time members and Fellows of the Society for Modeling and Simulation International. Under the leadership of three SCS Fellows, Dr. Ören, University of Ottawa, Dr. Zeigler, The University of Arizona, and Dr. Tolk, The MITRE Corporation, more than 50 international scholars from 15 countries provided insights and experience to compile this initial M&S Body of Knowledge.
Governed by strict regulations and the intricate balance of complex interactions among variables, the application of mechanics to vehicle crashworthiness is not a simple task. It demands a solid understanding of the fundamentals, careful analysis, and practical knowledge of the tools and techniques of that analysis. Vehicle Crash Mechanics s
Most high performance structures require the development of a generation of new materials, which can more easily resist a range of external stimuli or react in a non-conventional manner. Formed of research works presented at the 10th International Conference on High Performance and Optimum Design of Structures and Materials, the included papers cover issues involving advanced types of structures, particularly those based on new concepts or new materials and their system design. Contributions highlight the latest developments in design, optimisation, manufacturing and experimentation. There is also a focus on the search for higher performance sustainable materials. Particular emphasis is placed on intelligent structures and materials as well as the application of computational methods for their modelling, control and management. Optimisation problems are also covered, including those related to the size, shape and topology of structures and materials. Optimisation techniques have much to offer to those involved in the design of new industrial products. The development of new algorithms and the appearance of powerful commercial computer codes with easy to use graphical interfaces has created a fertile field for the incorporation of optimisation in the design process in all engineering disciplines.
Highway Safety Analytics and Modeling comprehensively covers the key elements needed to make effective transportation engineering and policy decisions based on highway safety data analysis in a single. reference. The book includes all aspects of the decision-making process, from collecting and assembling data to developing models and evaluating analysis results. It discusses the challenges of working with crash and naturalistic data, identifies problems and proposes well-researched methods to solve them. Finally, the book examines the nuances associated with safety data analysis and shows how to best use the information to develop countermeasures, policies, and programs to reduce the frequency and severity of traffic crashes. - Complements the Highway Safety Manual by the American Association of State Highway and Transportation Officials - Provides examples and case studies for most models and methods - Includes learning aids such as online data, examples and solutions to problems
Make the most of OTS systems in operator training and engineering Key FeaturesLearn OTS project delivery best practices from the author's 30 years of experienceExplore use cases to understand how your OTS systems can maximize ROI for usersDiscover how to best develop OTS training models for developers and usersBook Description Operator training simulators in the process industry have been around since the 1970s, but you may not find a book that documents the development of these systems and the standard best practices. The Operator Training Simulator Handbook covers best practices for OTS engineering and OTS training development and delivery, starting from the basic the jargon and the different types of OTS systems. It will take you through the best approaches to project specification as well as building, maintenance, planning, and delivering these systems by sharing real-life experiences and dos and don'ts. As you advance, you'll uncover the various challenges in the planning and delivery of operator training models and understand how to address those by working through real-world projects. This book helps in specifying the best fit for purpose, choosing a cost-effective system when acquiring an OTS. You'll also learn how you can turn your OTS projects into digital twins before finally learning all about documentation in a typical OTS project, covering the sample structure that you can use as a starting point in your projects. By the end of the book, you'll have learned best practices for developing operator training simulator systems and have a reference guide to overcome common challenges. What you will learnBecome familiar with the OTS jargon to set a base for understanding OTS aspectsImplement training planning methods that have been tried and tested in the industry for many yearsGet to grips with writing well-planned documentation for your OTS projectReview new model suggestions to maximize benefits of the OTS systems and the actual ICSS control systems to maximize ROI for usersUnderstand Cloud OTS systems as a new way to address some of the common issues that developers and users faceCreate digital twins of your OTS projectsWho this book is for This book is for suppliers who build and deliver OTS systems, OTS buyers, or companies looking to invest in these systems. Anyone with an interest in OTS systems, including university students or graduates who will work on these systems, will find this book useful. Basic knowledge of either OTS systems, ICSS control systems, or process engineering will help you grasp the concepts covered in this book.
Big data thrives on extracting knowledge from a large number of data sets. But how is an application possible when a single data set is several gigabytes in size? The innovative data compression techniques from the field of machine learning and modeling using Bayesian networks, which have been theoretically developed and practically implemented here, can reduce these huge amounts of data to a manageable size. By eliminating redundancies in location, time, and between simulation results, data reductions to less than 1% of the original size are possible. The developed method represents a promising approach whose use goes far beyond the application example of crash test simulations chosen here.