Virtual Testing and Predictive Modeling
Language: English
Published by Springer US, Springer US Nov 2014, 2014
- Softcover
- New
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
AbeBooks seller since January 23, 2017
Condition: New
£ 102.42
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Add to basketItem description from seller
This item is printed on demand - Print on Demand Titel. Neuware -Thematerialsusedinmanufacturingtheaerospace,aircraft,automobile,andnuclear parts have inherent aws that may grow under uctuating load environments during the operational phase of the structural hardware. The design philosophy, material selection, analysis approach, testing, quality control, inspection, and manufacturing are key elements that can contribute to failure prevention and assure a trouble-free structure. To have a robust structure, it must be designed to withstand the envir- mental load throughout its service life, even when the structure has pre-existing aws or when a part of the structure has already failed. If the design philosophy of the structure is based on the fail-safe requirements, or multiple load path design, partial failure of a structural component due to crack propagation is localized and safely contained or arrested. For that reason, proper inspection technique must be scheduled for reusable parts to detect the amount and rate of crack growth, and the possible need for repairing or replacement of the part. An example of a fail-sa- designed structure with crack-arrest feature, common to all aircraft structural parts, is the skin-stiffened design con guration. However, in other cases, the design p- losophy has safe-life or single load path feature, where analysts must demonstrate that parts have adequate life during their service operation and the possibility of catastrophic failure is remote. For example, all pressurized vessels that have single load path feature are classi ed as high-risk parts. During their service operation, these tanks may develop cracks, which will grow gradually in a stable manner.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 432 pp. Englisch.…
Seller Inventory # 9781489983701
- Title
- Virtual Testing and Predictive Modeling
- Author
- Bahram Farahmand
- Publisher
- Springer US, Springer US Nov 2014
- Publication year
- 2014
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1489983708
- ISBN 13
- 9781489983701
- Item weight
- 651 grams
- Dimensions
- 235x155x24 mm
"Synopsis" may belong to another edition of this title.
From the Back Cover
Virtual Testing and Predictive Modeling: For Fatigue and Fracture Mechanics Allowables provides an overview of cost and time efficient methods in generating the fatigue and fracture data of industrial structural parts.
Readers will find a systematic introduction to virtual testing to generate fatigue and fracture allowables through two useful techniques: the conventional continuum mechanics approach, and the utilization of multiscale modeling and simulation techniques to predict materials’ properties. In addition, a chapter devoted to the functionalization process covers the current approach to this technique, which strengthens interface durability through bonding dissimilar materials. Coverage of verification methods, used with devices such as the Transmission Electron Microscope (TEM) and the Atomic Force Microscope (AFM), are also described, which motivate discussion of the fundamental structure and deformation processes of nanoscale materials.
The virtual testing continuum approach already plays a crucial role in the life assessment of important manufactured structural parts in the aerospace, automotive, aircraft and defense industries when data is inaccessible to engineers. Virtual Testing and Predictive Modeling: For Fatigue and Fracture Mechanics Allowables provides a unique applications-focus view into these valuable methods, filling a critical void in references currently available.
"About the title" may belong to another edition of this title.
buchversandmimpf2000
Emtmannsberg, BAYE, Germany
AbeBooks seller since January 23, 2017
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