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Author | : Ann-Britt Ryberg |
Publisher | : Linköping University Electronic Press |
Total Pages | : 63 |
Release | : 2017-09-14 |
Genre | : |
ISBN | : 9176854825 |
Download Metamodel-Based Multidisciplinary Design Optimization of Automotive Structures Book in PDF, ePub and Kindle
Multidisciplinary design optimization (MDO) can be used in computer aided engineering (CAE) to efficiently improve and balance performance of automotive structures. However, large-scale MDO is not yet generally integrated within automotive product development due to several challenges, of which excessive computing times is the most important one. In this thesis, a metamodel-based MDO process that fits normal company organizations and CAE-based development processes is presented. The introduction of global metamodels offers means to increase computational efficiency and distribute work without implementing complicated multi-level MDO methods. The presented MDO process is proven to be efficient for thickness optimization studies with the objective to minimize mass. It can also be used for spot weld optimization if the models are prepared correctly. A comparison of different methods reveals that topology optimization, which requires less model preparation and computational effort, is an alternative if load cases involving simulations of linear systems are judged to be of major importance. A technical challenge when performing metamodel-based design optimization is lack of accuracy for metamodels representing complex responses including discontinuities, which are common in for example crashworthiness applications. The decision boundary from a support vector machine (SVM) can be used to identify the border between different types of deformation behaviour. In this thesis, this information is used to improve the accuracy of feedforward neural network metamodels. Three different approaches are tested; to split the design space and fit separate metamodels for the different regions, to add estimated guiding samples to the fitting set along the boundary before a global metamodel is fitted, and to use a special SVM-based sequential sampling method. Substantial improvements in accuracy are observed, and it is found that implementing SVM-based sequential sampling and estimated guiding samples can result in successful optimization studies for cases where more conventional methods fail.
Author | : Ping Jiang |
Publisher | : Springer Nature |
Total Pages | : 240 |
Release | : 2019-11-01 |
Genre | : Technology & Engineering |
ISBN | : 9811507317 |
Download Surrogate Model-Based Engineering Design and Optimization Book in PDF, ePub and Kindle
This book covers some of the most popular methods in design space sampling, ensembling surrogate models, multi-fidelity surrogate model construction, surrogate model selection and validation, surrogate-based robust design optimization, and surrogate-based evolutionary optimization. Surrogate or metamodels are now frequently used in complex engineering product design to replace expensive simulations or physical experiments. They are constructed from available input parameter values and the corresponding output performance or quantities of interest (QOIs) to provide predictions based on the fitted or interpolated mathematical relationships. The book highlights a range of methods for ensembling surrogate and multi-fidelity models, which offer a good balance between surrogate modeling accuracy and building cost. A number of real-world engineering design problems, such as three-dimensional aircraft design, are also provided to illustrate the ability of surrogates for supporting complex engineering design. Lastly, illustrative examples are included throughout to help explain the approaches in a more “hands-on” manner.
Author | : Shane G. Henderson |
Publisher | : Elsevier |
Total Pages | : 693 |
Release | : 2006-09-02 |
Genre | : Business & Economics |
ISBN | : 0080464769 |
Download Handbooks in Operations Research and Management Science: Simulation Book in PDF, ePub and Kindle
This Handbook is a collection of chapters on key issues in the design and analysis of computer simulation experiments on models of stochastic systems. The chapters are tightly focused and written by experts in each area. For the purpose of this volume “simulation refers to the analysis of stochastic processes through the generation of sample paths (realization) of the processes. Attention focuses on design and analysis issues and the goal of this volume is to survey the concepts, principles, tools and techniques that underlie the theory and practice of stochastic simulation design and analysis. Emphasis is placed on the ideas and methods that are likely to remain an intrinsic part of the foundation of the field for the foreseeable future. The chapters provide up-to-date references for both the simulation researcher and the advanced simulation user, but they do not constitute an introductory level ‘how to’ guide. Computer scientists, financial analysts, industrial engineers, management scientists, operations researchers and many other professionals use stochastic simulation to design, understand and improve communications, financial, manufacturing, logistics, and service systems. A theme that runs throughout these diverse applications is the need to evaluate system performance in the face of uncertainty, including uncertainty in user load, interest rates, demand for product, availability of goods, cost of transportation and equipment failures. * Tightly focused chapters written by experts* Surveys concepts, principles, tools, and techniques that underlie the theory and practice of stochastic simulation design and analysis* Provides an up-to-date reference for both simulation researchers and advanced simulation users
Author | : |
Publisher | : |
Total Pages | : 134 |
Release | : 2013 |
Genre | : |
ISBN | : 9789175197210 |
Download Metamodel-based Design Optimization Book in PDF, ePub and Kindle
Author | : Florian Jurecka |
Publisher | : |
Total Pages | : 184 |
Release | : 2007 |
Genre | : Structural Optimization |
ISBN | : 9783832263904 |
Download Robust Design Optimization Based on Metamodeling Techniques Book in PDF, ePub and Kindle
Author | : Kim, Dookie |
Publisher | : IGI Global |
Total Pages | : 644 |
Release | : 2018-06-15 |
Genre | : Technology & Engineering |
ISBN | : 1522547673 |
Download Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering Book in PDF, ePub and Kindle
The disciplines of science and engineering rely heavily on the forecasting of prospective constraints for concepts that have not yet been proven to exist, especially in areas such as artificial intelligence. Obtaining quality solutions to the problems presented becomes increasingly difficult due to the number of steps required to sift through the possible solutions, and the ability to solve such problems relies on the recognition of patterns and the categorization of data into specific sets. Predictive modeling and optimization methods allow unknown events to be categorized based on statistics and classifiers input by researchers. The Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering is a critical reference source that provides comprehensive information on the use of optimization techniques and predictive models to solve real-life engineering and science problems. Through discussions on techniques such as robust design optimization, water level prediction, and the prediction of human actions, this publication identifies solutions to developing problems and new solutions for existing problems, making this publication a valuable resource for engineers, researchers, graduate students, and other professionals.
Author | : Jasbir S Arora |
Publisher | : World Scientific |
Total Pages | : 610 |
Release | : 2007-09-05 |
Genre | : Technology & Engineering |
ISBN | : 9814477222 |
Download Optimization Of Structural And Mechanical Systems Book in PDF, ePub and Kindle
Computational optimization methods have matured over the last few years due to extensive research by applied mathematicians and engineers. These methods have been applied to many practical applications. Several general-purpose optimization programs and programs for specific engineering applications have become available to solve particular optimization problems.Written by leading researchers in the field of optimization, this highly readable book covers state-of-the-art computational algorithms as well as applications of optimization to structural and mechanical systems. Formulations of the problems and numerical solutions are presented, and topics requiring further research are also suggested.
Author | : Prabhakar V. Varde |
Publisher | : Springer Nature |
Total Pages | : 1015 |
Release | : 2019-08-30 |
Genre | : Technology & Engineering |
ISBN | : 9811390088 |
Download Reliability, Safety and Hazard Assessment for Risk-Based Technologies Book in PDF, ePub and Kindle
This volume presents selected papers from the International Conference on Reliability, Safety, and Hazard. It presents the latest developments in reliability engineering and probabilistic safety assessment, and brings together contributions from a diverse international community and covers all aspects of safety, reliability, and hazard assessment across a host of interdisciplinary applications. This book will be of interest to researchers in both academia and the industry.
Author | : |
Publisher | : |
Total Pages | : 122 |
Release | : 2012 |
Genre | : |
ISBN | : |
Download Metamodel-based Multidisciplinary Design Optimization for Automotive Applications Book in PDF, ePub and Kindle
Author | : Piotr Breitkopf |
Publisher | : John Wiley & Sons |
Total Pages | : 403 |
Release | : 2013-02-04 |
Genre | : Technology & Engineering |
ISBN | : 1118600002 |
Download Multidisciplinary Design Optimization in Computational Mechanics Book in PDF, ePub and Kindle
This book provides a comprehensive introduction to the mathematical and algorithmic methods for the Multidisciplinary Design Optimization (MDO) of complex mechanical systems such as aircraft or car engines. We have focused on the presentation of strategies efficiently and economically managing the different levels of complexity in coupled disciplines (e.g. structure, fluid, thermal, acoustics, etc.), ranging from Reduced Order Models (ROM) to full-scale Finite Element (FE) or Finite Volume (FV) simulations. Particular focus is given to the uncertainty quantification and its impact on the robustness of the optimal designs. A large collection of examples from academia, software editing and industry should also help the reader to develop a practical insight on MDO methods.