A very promising method is proposed to solve the stability problem of steel space structures with system parametric uncertainties. Generalized random variables are presented to characterize such large complex space structures while reducing the number of variables in the structural analysis. The pro
Dynamic analysis of framed structures with statistical uncertainties
โ Scribed by Sondipon Adhikari; C. S. Manohar
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 349 KB
- Volume
- 44
- Category
- Article
- ISSN
- 0029-5981
No coin nor oath required. For personal study only.
โฆ Synopsis
The forced harmonic vibration analysis of portal frames consisting of viscously damped beams with spatial stochastic variation of mass and sti ness properties is considered. The analysis is based on the assembly of element stochastic dynamic sti ness matrices. The solution involves inversion of the global dynamic sti ness matrix, which, in this case, turns out to be a complex-valued symmetric random matrix. Three alternative approximate procedures, namely, random eigenfunction expansion method, complex Neumann expansion method and combined analytical and simulation method are used to invert the matrix. The performance of these approximate procedures is evaluated using Monte Carlo simulation results.
๐ SIMILAR VOLUMES
A numerical method has been developed for the dynamic analysis of a tall building structure with viscous dampers. Viscous dampers are installed between the top of an inverted V-shaped brace and the upper beam on each storey to reduce vibrations during strong disturbances like earthquakes. Analytical
The dynamic analysis of sliding structures is complicated due to the presence of friction. Synchronization of the kinematics of all the isolation bearings is often granted to simplify the task. This, however, may lead to inaccurate prediction of the structural responses under certain circumstances.
This paper reports the findings of two experimental investigations into the efficacy of a causal cognitive mapping procedure as a means for overcoming cognitive biases arising from the framing of strategic decision problems. In Study 1, final year management studies undergraduate students were prese