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Mastering Uncertainty in Mechanical Engineering

Pelz, Peter F. ; Groche, Peter ; Pfetsch, Marc E. ; Schäffner, Maximilian Frederic (2023)
Mastering Uncertainty in Mechanical Engineering.
doi: 10.26083/tuprints-00023754
Buch, Zweitveröffentlichung, Verlagsversion

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Kurzbeschreibung (Abstract)

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 students, researchers and professionals dealing with uncertainty in the broad field of mechanical engineering.

Typ des Eintrags: Buch
Erschienen: 2023
Autor(en): Pelz, Peter F. ; Groche, Peter ; Pfetsch, Marc E. ; Schäffner, Maximilian Frederic
Art des Eintrags: Zweitveröffentlichung
Titel: Mastering Uncertainty in Mechanical Engineering
Sprache: Englisch
Publikationsjahr: 2023
Ort: Darmstadt
Publikationsdatum der Erstveröffentlichung: 2021
Verlag: Springer Cham
Reihe: Springer Tracts in Mechanical Engineering
Kollation: XII, 471 Seiten
DOI: 10.26083/tuprints-00023754
URL / URN: https://tuprints.ulb.tu-darmstadt.de/23754
Zugehörige Links:
Herkunft: Zweitveröffentlichungsservice
Kurzbeschreibung (Abstract):

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 students, researchers and professionals dealing with uncertainty in the broad field of mechanical engineering.

Freie Schlagworte: Stochastic Data Uncertainty, Model Uncertainty, Structural Uncertainty, Robust Optimization Under Uncertainty, Adaptive Technical Systems, Optimal Design of Technical Systems, Resilient Technical Systems, Robust Design, Product Design Under Uncertainty, Visualization of Uncertainty, Sonderforschungsbereich (SFB) 805, Fluid Dynamic Vibration Absorber, 3D Servo Press, Active Air Spring, Active/Semi-Active Systems, Increasing Flexibility in Manufacturing, Open Access Book
Status: Verlagsversion
URN: urn:nbn:de:tuda-tuprints-237546
Sachgruppe der Dewey Dezimalklassifikatin (DDC): 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau
Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Institut für Fluidsystemtechnik (FST) (seit 01.10.2006)
16 Fachbereich Maschinenbau > Fachgebiet Systemzuverlässigkeit, Adaptronik und Maschinenakustik (SAM)
Hinterlegungsdatum: 25 Apr 2023 12:24
Letzte Änderung: 26 Apr 2023 05:04
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