Engineering Design Reliability Applications - For the Aerospace, Automotive and Ship Industries

Informationen zum Autor Efstratios Nikolaidis, Dan M. Ghiocel, Suren Singhal Zusammenfassung Highlighting the competitive advantage available from using risk-based reliability design in the aerospace, automotive, defense, and shipbuilding industries, this book provides an overview of how to apply probabilistic approaches and reliability methods to practical engineering problems. Inhaltsverzeichnis Applications of Reliability Assessment. Reliability Assessment of Aircraft Structure Joints under Corrosion-Fatigue Damage. Selected Topics in Probabilistic Gas Turbine Engine Turbomachinery Design. Applications of Reliability-based Design Optimization. Probabilistic Progressive Buckling of Conventional and Adaptive Trusses. Probabilistic Analysis of HSCT (High Speed Civil Transport) Combustor Liner Components. Probabilistic Analysis and Design in Automotive Industry. Integrated Computer-Aided Engineering Methodology for Various Uncertainties and Multidisciplinary Applications. Reliability Assessment of Ships. Reliability Analysis of Composite Structures and Materials. Micromechanics Modeling and Reliability Analysis of Carbon Nanofiber Composite Structures.

Product details

• Authors: Efstratios (University of Toledo Nikolaidis, Efstratios Ghiocel Nikolaidis
• Assisted by: Dan M. Ghiocel (Editor), Ghiocel Dan M. (Editor), Efstratios Nikolaidis (Editor), Nikolaidis Efstratios (Editor), Suren Singhal (Editor), Singhal Suren (Editor)
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 19.09.2007
• EAN: 9781420051322
• ISBN: 978-1-4200-5132-2
• No. of pages: 376
• Subjects: Natural sciences, medicine, IT, technology > Technology > Mechanical engineering, production engineering; TECHNOLOGY & ENGINEERING / Mechanical, TECHNOLOGY & ENGINEERING / Quality Control, TECHNOLOGY & ENGINEERING / Industrial Engineering, BUSINESS & ECONOMICS / Quality Control, environmental science, engineering & technology, Probability & statistics, Engineering: general, Production & quality control management, Probability and statistics, Environmental science, engineering and technology, Production and quality control management