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Titlebook: Mastering Uncertainty in Mechanical Engineering; Peter F. Pelz,Peter Groche,Maximilian Schaeffner Book‘‘‘‘‘‘‘‘ 2021 The Editor(s) (if appl

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發(fā)表于 2025-3-21 19:05:36 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Mastering Uncertainty in Mechanical Engineering
編輯Peter F. Pelz,Peter Groche,Maximilian Schaeffner
視頻videohttp://file.papertrans.cn/626/625547/625547.mp4
概述Is an open access book.Reports on methods to quantify and master uncertainty in design, production, and product usage.Covers Taguchi Robust Design approaches toward sustainable systems design.Merges p
叢書名稱Springer Tracts in Mechanical Engineering
圖書封面Titlebook: Mastering Uncertainty in Mechanical Engineering;  Peter F. Pelz,Peter Groche,Maximilian Schaeffner Book‘‘‘‘‘‘‘‘ 2021 The Editor(s) (if appl
描述This open access book reports on innovative methods, technologies and strategies for mastering uncertainty in technical systems. Despite the fact that current research on uncertainty is mainly focusing on uncertainty quantification and analysis, this book gives emphasis to innovative ways to master uncertainty in engineering design, production and product usage alike. It gathers authoritative contributions by more than 30 scientists reporting on years of research in the areas of engineering, applied mathematics and law, thus offering a timely, comprehensive and multidisciplinary account of theories and methods for quantifying data, model and structural uncertainty, and of fundamental strategies for mastering uncertainty. It covers key concepts such as robustness, flexibility and resilience in detail. All the described methods, technologies and strategies have been validated with the help of three technical systems, i.e. the Modular Active Spring-Damper System, the Active Air Spring andthe 3D Servo Press, which have been in turn developed and tested during more than ten years of cooperative research.? Overall, this book offers a timely, practice-oriented reference guide to graduate
出版日期Book‘‘‘‘‘‘‘‘ 2021
關鍵詞Stochastic Data Uncertainty; Model Uncertainty; Structural Uncertainty; Robust Optimization Under Uncer
版次1
doihttps://doi.org/10.1007/978-3-030-78354-9
isbn_softcover978-3-030-78356-3
isbn_ebook978-3-030-78354-9Series ISSN 2195-9862 Series E-ISSN 2195-9870
issn_series 2195-9862
copyrightThe Editor(s) (if applicable) and The Author(s) 2021
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 22:01:25 | 只看該作者
板凳
發(fā)表于 2025-3-22 01:39:57 | 只看該作者
Outlook,ning of the industrialisation, cf.?Theodor Fontane’s ballad ‘The Tay Bridge’ quoted in Chap.?. and this will continue to be so. Hence, we will never see “the curtain close”, but a perpetual contribution of engineering science, applied mathematics, law and further branches of science to master uncertainty in mechanical engineering.
地板
發(fā)表于 2025-3-22 07:23:24 | 只看該作者
2195-9862 Design approaches toward sustainable systems design.Merges pThis open access book reports on innovative methods, technologies and strategies for mastering uncertainty in technical systems. Despite the fact that current research on uncertainty is mainly focusing on uncertainty quantification and anal
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Our Specific Approach on Mastering Uncertainty,/time-varying and/or active. This brings us to the main strategies for mastering uncertainty: robustness, flexibility and resilience. Finally, three different concrete technical systems that are used to demonstrate our methods are presented.
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Introduction,perspective of uncertainty. The synthesis process of systems based on models and/or intuition leads to the important concepts of function and quality as well as data, model, and structural uncertainty. This forms both the foundation and the introduction to the following chapters. It is shown that th
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