Construction of surrogate models for predicting the buckling strength of stiffened panels through DoE and RSM methods

Abstract

PurposeExperimental mid/large scale testing of ship-like stiffened panels in compression is a quite expensive exercise that is not standard. Numerical simulations are preferred instead. Because of being relatively inexpensive (cost and time wise), most authors perform an exhaustive design space exploration arriving at a significant number of runs. This work demonstrates that the buckling response with respect to the nondimensional slenderness ratios may well be fitted with nine runs per stiffener geometry.Design/methodology/approachEfficient derivation of buckling strength formulas for stiffened panels through the employment of design of experiments (DoE) and response surface methodology (RSM) combined with numerical nonlinear experimentation over the entire range of practical geometries.FindingsThe surrogate model developed for T-bar stiffeners predicts accurately enough the ultimate stress in the practical design area, while the surrogate models for angle bars and flat bars demonstrate difference between 10 and 30% from common structural rules (CSR).Originality/valueTo the authors' best knowledge, the statistical-based formal and rigorous approach of DoE and RSM to obtaining buckling surfaces for stiffened panels is performed for the first time. The number of required observations per stiffener type has not been addressed yet as each work selects its own sampling scheme without formal reasoning. This work comes to frame the number of observations for efficient surrogate model building.

Random vibration-based virtual fatigue test for large-scale welded structures using frequency-domain structural stress method and its application to traction transformers

“…Thus, efficient and accurate computational methods for dynamic analysis of the traction transformers are in great demand that can rapidly predict life distribution of multiple samples at low cost, so that quantitative and statistical analysis can be performed on the fatigue behavior of the traction transformer associated with welded structures, providing accurate structural reliability results. Furthermore, such computational methods can also have extensive application prospect in many other large-scale equipment manufacturing industries such as aerospace, automotive and watercraft (Papanikolaou and Anyfantis, 2022). Virtual fatigue test for large weld structure Virtual test refers to the method that applies numerical computation to simulate an experimental test and obtains the required test results at the design stage of the products (Klenke et al, 1996;L opez and Stroobants, 2022).…”