Numerical Modelling and Simulation of Vortex Extrusion as a Severe Plastic Deformation Technique Using Response Surface Methodology and Finite Element Analysis

Ranjbari, G.; Doniavi, Ali; Shahbaz, M.

doi:10.1007/s12540-020-00635-7

Cited by 9 publications

(2 citation statements)

References 29 publications

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“…Nowadays, RSM has many applications in the field of engineering and structural reliability and is used in combination with finite element models (Anyfantis, 2019(Anyfantis, , 2020Arai and Shimizu, 2001;Duc et al, 2013;Gaspar et al, 2012;Kemper et al, 2006;Lee et al, 2015;Rahman et al, 2017;Ranjbari et al, 2020;Yanhui et al, 2010;Meng et al, 2019Meng et al, , 2020a.…”

Section: Ec 394mentioning

confidence: 99%

“…The statistical toolkit of DoE and RSM was initially developed for real-life experimentation, and its efficiency and effectiveness was proven in diverse disciplines. Nowadays, RSM has many applications in the field of engineering and structural reliability and is used in combination with finite element models (Anyfantis, 2019, 2020; Arai and Shimizu, 2001; Duc et al , 2013; Gaspar et al , 2012; Kemper et al , 2006; Lee et al , 2015; Rahman et al , 2017; Ranjbari et al , 2020; Yanhui et al , 2010; Meng et al , 2019, 2020a, b).…”

Section: Introductionmentioning

confidence: 99%

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

Papanikolaou

Anyfantis

2021

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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.

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