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Local Buckling Analysis of T-Section Webs with Closed-Form Solutions
- Source :
- Mathematical Problems in Engineering, Vol 2016 (2016)
- Publication Year :
- 2016
- Publisher :
- Hindawi Limited, 2016.
-
Abstract
- This paper reports on approaches to estimate the critical buckling loads of thin-walled T-sections with closed-form solutions. We first develop a model using energy conservation approach under the assumption that there is no correlation between the restraint coefficient and buckling half-wavelength. Secondly, we propose a numerical approach to estimate the critical buckling conditions under the more realistic torsional stiffener constraint condition. A dimensionless parameter correlated with constraint conditions is introduced through finite element (FE) analysis and data fitting technique in the numerical approach. The critical buckling coefficient and loads can be expressed as explicit functions of the dimensionless parameter. The proposed numerical approach demonstrates higher accuracy than the approach under noncorrelation assumption. Due to the explicit expression of critical buckling loads, the numerical approach presented here can be easily used in the design, analysis, and precision manufacture of T-section webs.
- Subjects :
- 0209 industrial biotechnology
Article Subject
business.industry
lcsh:Mathematics
General Mathematics
General Engineering
02 engineering and technology
Structural engineering
Expression (computer science)
lcsh:QA1-939
Finite element method
Constraint (information theory)
Section (fiber bundle)
Energy conservation
020303 mechanical engineering & transports
020901 industrial engineering & automation
0203 mechanical engineering
Buckling
lcsh:TA1-2040
Curve fitting
Applied mathematics
lcsh:Engineering (General). Civil engineering (General)
business
Mathematics
Dimensionless quantity
Subjects
Details
- ISSN :
- 15635147 and 1024123X
- Volume :
- 2016
- Database :
- OpenAIRE
- Journal :
- Mathematical Problems in Engineering
- Accession number :
- edsair.doi.dedup.....d88541533670f3ef723f64f4568e5835