14th International Probabilistic Workshop
Editat de Robby Caspeele, Luc Taerwe, Dirk Proskeen Limba Engleză Paperback – 22 apr 2018
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| Springer – 22 apr 2018 | 1154.39 lei 38-44 zile | |
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Specificații
ISBN-13: 9783319838496
ISBN-10: 3319838490
Pagini: 552
Ilustrații: XII, 540 p. 325 illus., 253 illus. in color.
Dimensiuni: 155 x 235 x 28 mm
Greutate: 0.93 kg
Ediția:Softcover reprint of the original 1st edition 2017
Editura: Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3319838490
Pagini: 552
Ilustrații: XII, 540 p. 325 illus., 253 illus. in color.
Dimensiuni: 155 x 235 x 28 mm
Greutate: 0.93 kg
Ediția:Softcover reprint of the original 1st edition 2017
Editura: Springer
Locul publicării:Cham, Switzerland
Cuprins
Part I Biomechanical Engineering.- Part II History of Mechanism and Machine Science.- Part III Linkages and Mechanical Controls.- Part IV Multi-Body Dynamics.- Part V Reliability.- Part VI Robotics and Mechatronics.- Part VII Transportation Machinery.- Part VIII Tribology.- Part IX Vibrations.
Textul de pe ultima copertă
This book presents the proceedings of the 14th International Probabilistic Workshop that was held in Ghent, Belgium in December 2016. Probabilistic methods are currently of crucial importance for research and developments in the field of engineering, which face challenges presented by new materials and technologies and rapidly changing societal needs and values. Contemporary needs related to, for example, performance-based design, service-life design, life-cycle analysis, product optimization, assessment of existing structures and structural robustness give rise to new developments as well as accurate and practically applicable probabilistic and statistical engineering methods to support these developments. These proceedings are a valuable resource for anyone interested in contemporary developments in the field of probabilistic engineering applications.
Caracteristici
Contains latest research developments in probability and statistics for engineering applications Provides methods and tools for uncertainty quantification and modeling Illustrates the application of reliability-based design and optimization Includes supplementary material: sn.pub/extras