Direct FEM limit and shakedown analysis with uncertain data. Heitzer, M. & Staat, M. In Oñate, E., Bugeda, G., & Suarez, B., editors, CD-ROM Proceedings of the European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2000, Barcelona, Spain, 11-14 September 2000, pages 1-13, 2000.
Direct FEM limit and shakedown analysis with uncertain data [link]Website  abstract   bibtex   
The structural reliability with respect to plastic collapse or to inadaptation is formulated on the basis of the lower bound limit and shakedown theorems. A direct definition of the limit state function is achieved which permits the use of the highly effective first order reliability methods (FORM) is achieved. The theorems are implemented into a general purpose FEM program in a way capable of large-scale analysis. The limit state function and its gradient are obtained from a mathematical optimization problem. This direct approach reduces considerably the necessary knowledge of uncertain technological input data, the computing time, and the numerical error, leading to highly effective and precise reliability analyses.
@inproceedings{
 title = {Direct FEM limit and shakedown analysis with uncertain data},
 type = {inproceedings},
 year = {2000},
 keywords = {FORM,limit analysis,reliabili,skaedown analysis},
 pages = {1-13},
 websites = {http://opus.bibliothek.fh-aachen.de/opus/volltexte/2006/112/},
 id = {d4fb9e0d-cec3-3eb4-9e21-ad25341f614d},
 created = {2014-06-02T20:07:49.000Z},
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 abstract = {The structural reliability with respect to plastic collapse or to inadaptation is formulated on the basis of the lower bound limit and shakedown theorems. A direct definition of the limit state function is achieved which permits the use of the highly effective first order reliability methods (FORM) is achieved. The theorems are implemented into a general purpose FEM program in a way capable of large-scale analysis. The limit state function and its gradient are obtained from a mathematical optimization problem. This direct approach reduces considerably the necessary knowledge of uncertain technological input data, the computing time, and the numerical error, leading to highly effective and precise reliability analyses.},
 bibtype = {inproceedings},
 author = {Heitzer, Michael and Staat, Manfred},
 editor = {Oñate, E and Bugeda, G and Suarez, B},
 booktitle = {CD-ROM Proceedings of the European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2000, Barcelona, Spain, 11-14 September 2000}
}

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