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Can I read Mastering Uncertainty in Mechanical Engineering (Springer Tracts in Mechanical Engineering) on EtoBox?
Mastering Uncertainty in Mechanical Engineering (Springer Tracts in Mechanical Engineering) by Peter F. Pelz;Peter Groche;Marc E. Pfetsch;Maximilian Schaeffner;(eds.) is a nonfiction available to read on EtoBox.
What is Mastering Uncertainty in Mechanical Engineering (Springer Tracts in Mechanical Engineering) about?
"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 and the 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
Who reads Mastering Uncertainty in Mechanical Engineering (Springer Tracts in Mechanical Engineering)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Peter F. Pelz;Peter Groche;Marc E. Pfetsch;Maximilian Schaeffner;(eds.)
- Publisher
- Springer International Publishing : Imprint: Springer
- Published
- 2021
- Language
- EN
- ISBN
- 9783030783556
- Category
- nonfiction
- Subjects
- Engineering, Business, Computer Science
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