Mechanical Engineering
https://hdl.handle.net/11124/20010
2022-01-28T19:35:55ZFour-parameter composite beam stiffness optimization dataset (computer source code)
https://hdl.handle.net/11124/222
Four-parameter composite beam stiffness optimization dataset (computer source code)
Steuben, John Christopher; Turner, Cameron J.
This is the computer source code (.cpp and .h files) for the four-parameter composite beam stiffness optimization dataset (dataset sample). The dataset describes the relation between the stiffness of a cantilevered composite beam and its manufacturing parameters. This dataset is used to design a beam of required stiffness. Two pieces of software are included for this analysis. HyperMaps is used to build a spline-based surrogate model of the beam's constitutive behavior. GraphNURBs is used to conduct robust optimization on the surrogate model to find the most robust beam design that achieves the specified target stiffness. Mathematica notebooks (.nb files) for generating the data and visualizing the robust optimization output are also included. Data consists of four input parameters (fiber modulus and angle in a two-ply symmetric layup) and one output parameter (beam stiffness).
Four-parameter composite beam stiffness optimization dataset (dataset sample)
https://hdl.handle.net/11124/229
Four-parameter composite beam stiffness optimization dataset (dataset sample)
Steuben, John Christopher; Turner, Cameron J.
This is a dataset sample. The dataset describes the relation between the stiffness of a cantilevered composite beam and its manufacturing parameters. This dataset is used to design a beam of required stiffness. Two pieces of software (executables, not code) are included for this analysis. HyperMaps is used to build a spline-based surrogate model of the beamâ€™s constitutive behavior. GraphNURBs is used to conduct robust optimization on the surrogate model to find the most robust beam design that achieves the specified target stiffness. Mathematica notebooks (.nb files) for generating the data and visualizing the robust optimization output are also included. Data consists of four input parameters (fiber modulus and angle in a two-ply symmetric layup) and one output parameter (beam stiffness).