Details
Original language | English |
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Title of host publication | 51st AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference |
Publication status | Published - 2010 |
Event | 51st AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference - Orlando, FL, United States Duration: 12 Apr 2010 → 15 Apr 2010 |
Publication series
Name | Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference |
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ISSN (Print) | 0273-4508 |
Abstract
The load carrying capability of axially compressed cylindrical shells is dependent on imperfections like geometric deviations from the perfect shell or loading imperfections. The scattering of imperfections induces that the buckling load is randomly distributed. Knowledge about the distribution of buckling load allows an efficient and save design of cylindrical shells. The stochastic distribution can be predicted with purely numerical methods like Monte Carlo simulation, which require a multitude of buckling load calculations. In the present paper a fast semi-analytic procedure is presented, that predicts the distribution of buckling load with the same accuracy as a Monte Carlo simulation, but requires much less computational effort.
ASJC Scopus subject areas
- Engineering(all)
- Architecture
- Materials Science(all)
- General Materials Science
- Engineering(all)
- Aerospace Engineering
- Engineering(all)
- Mechanics of Materials
- Engineering(all)
- Mechanical Engineering
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51st AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. 2010. 2010-2534 (Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Probabilistic Second-Order Third-Moment Approach for Design of Axially Compressed Composite Shells
AU - Kriegesmann, Benedikt
AU - Rolfes, Raimund
AU - Hühne, Christian
AU - Kling, Alexander
PY - 2010
Y1 - 2010
N2 - The load carrying capability of axially compressed cylindrical shells is dependent on imperfections like geometric deviations from the perfect shell or loading imperfections. The scattering of imperfections induces that the buckling load is randomly distributed. Knowledge about the distribution of buckling load allows an efficient and save design of cylindrical shells. The stochastic distribution can be predicted with purely numerical methods like Monte Carlo simulation, which require a multitude of buckling load calculations. In the present paper a fast semi-analytic procedure is presented, that predicts the distribution of buckling load with the same accuracy as a Monte Carlo simulation, but requires much less computational effort.
AB - The load carrying capability of axially compressed cylindrical shells is dependent on imperfections like geometric deviations from the perfect shell or loading imperfections. The scattering of imperfections induces that the buckling load is randomly distributed. Knowledge about the distribution of buckling load allows an efficient and save design of cylindrical shells. The stochastic distribution can be predicted with purely numerical methods like Monte Carlo simulation, which require a multitude of buckling load calculations. In the present paper a fast semi-analytic procedure is presented, that predicts the distribution of buckling load with the same accuracy as a Monte Carlo simulation, but requires much less computational effort.
UR - http://www.scopus.com/inward/record.url?scp=84855634409&partnerID=8YFLogxK
U2 - 10.2514/6.2010-2534
DO - 10.2514/6.2010-2534
M3 - Conference contribution
AN - SCOPUS:84855634409
SN - 9781600867422
T3 - Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
BT - 51st AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
T2 - 51st AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
Y2 - 12 April 2010 through 15 April 2010
ER -