Virtual Library of Simulation Experiments:

Test Functions and Datasets

Steel Column Function


Description:

Dimensions: 9

The Steel Column function models the trade-off between cost and reliability for a steel column.

The cost for the steel column is: Cost = b*t + 5*h, where b is the mean flange breadth, t (mm) is the mean flange thickness (mm), and h is the mean profile height (mm). The column length L is 7500 mm. Eldred et al. (2008) use the values b = 300, d = 20 and h = 300.

Input Distributions:

The (uncorrelated) input random variables and their distributions are:

Fs ~ Lognormal(mean=400, standard deviation=35) yield stress (MPa)
P1 ~ N(μ=500000, σ=50000) dead weight load (N)
P2 ~ Gumbel(mean=600000, standard deviation=90000)    variable load (N)
P3 ~ Gumbel(mean=600000, standard deviation=90000) variable load (N)
B ~ Lognormal(mean=b, standard deviation=3) flange breadth (mm)
D ~ Lognormal(mean=t, standard deviation=2) flange thickness (mm)
H ~ Lognormal(mean=h, standard deviation=5) profile height (mm)
F0 ~ N(μ=30, σ=10) initial deflection (mm)
E ~ Weibull(mean=210000, standard deviation=4200)    Young's modulus (MPa)

Above, N(μ, σ) is the Normal distribution with mean μ and variance σ2.

Code:


References:

Eldred, M. S., Webster, C. G., & Constantine, P. (2008, April). Evaluation of non-intrusive approaches for Wiener-Askey generalized polynomial chaos. In Proceedings of the 10th AIAA Non-Deterministic Approaches Conference, number AIAA-2008-1892, Schaumburg, IL (Vol. 117, p. 189).

Kuschel, N., & Rackwitz, R. (1997). Two basic problems in reliability-based structural optimization. Mathematical Methods of Operations Research, 46(3), 309-333.



For questions or comments, please email Derek Bingham at: dbingham@stat.sfu.ca.



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