Inverse Problems in Engineering Mechanics III
Inverse Problems are found in many areas of engineering mechanics and there are many successful applications e.g. in non-destructive testing and characterization of material properties by ultrasonic or X-ray techniques, thermography, etc. Generally...
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Inverse Problems are found in many areas of engineering mechanics and there are many successful applications e.g. in non-destructive testing and characterization of material properties by ultrasonic or X-ray techniques, thermography, etc. Generally speaking, inverse problems are concerned with the determination of the input and the characteristics of a system, given certain aspects of its output. Mathematically, such problems are ill-posed and have to be overcome through development of new computational schemes, regularization techniques, objective functionals, and experimental procedures.This volume contains a selection of peer-reviewed papers presented at the International Symposium on Inverse Problems in Engineering Mechanics (ISIP2001), held in February of 2001 in Nagano, Japan, where recent development in inverse problems in engineering mechanics and related topics were discussed.
The following general areas in inverse problems in engineering mechanics werethe subjects of the ISIP2001: mathematical and computational aspects of inverse problems, parameter or system identification, shape determination, sensitivity analysis, optimization, material property characterization, ultrasonic non-destructive testing, elastodynamic inverse problems, thermal inverse problems, and other engineering applications. These papers can provide a state-of-the-art review of the research on inverse problems in engineering mechanics.
Bibliographische Angaben
- Autoren: G.S. Dulikravich , Mana Tanaka
- Verlag: Elsevier Science
- EAN: 9780080439518
Inhaltsverzeichnis zu „Inverse Problems in Engineering Mechanics III “
Chapter headings. Inverse thermal problems. Boundary data and parameters identification. Damage or defect detection. Inverse problems in solid mechanics. Numerical and computational algorithms. Applications of computational algorithms. Inverse problems in aeronautics and fluid dynamics. Inverse problems in electromagnetics.
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