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Four-parameter composite beam stiffness optimization dataset (computer source code)
Steuben, John Christopher Turner, Cameron J.
Steuben, John Christopher
Turner, Cameron J.
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2011-05
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2019-12-31
Abstract
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).
Associated Publications
Steuben, John C., Turner, Cameron J. and Crawford, Richard H., (2013), Robust engineering design optimization with non-uniform rational B-splines-based metamodels. Engineering Optimization. Vol. 45, Iss. 7, 767-786, DOI:10.1080/0305215X.2012.709509. href="http://www.tandfonline.com/doi/abs/10.1080/0305215X.2012.709509"
Steuben, John C., Turner, Cameron J. and Crawford, Richard H., (2013), Robust engineering design optimization with non-uniform rational B-splines-based metamodels. Engineering Optimization. Vol. 45, Iss. 7, 767-786, DOI:10.1080/0305215X.2012.709509. http://www.tandfonline.com/doi/abs/10.1080/0305215X.2012.709509
Steuben, John C. and Turner, Cameron J., (2010), Robust optimization exploration using NURBs-based metamodeling techniques. ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Vol. 3, 239-250, DOI:10.1115/DETC2010-28226. href="http://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleid=1611678"
Steuben, John C. and Turner, Cameron J., (2010), Robust optimization exploration using NURBs-based metamodeling techniques. ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Vol. 3, 239-250, DOI:10.1115/DETC2010-28226. http://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleid=1611678
Steuben, John C., Turner, Cameron J. and Crawford, Richard H., (2013), Robust engineering design optimization with non-uniform rational B-splines-based metamodels. Engineering Optimization. Vol. 45, Iss. 7, 767-786, DOI:10.1080/0305215X.2012.709509. http://www.tandfonline.com/doi/abs/10.1080/0305215X.2012.709509
Steuben, John C. and Turner, Cameron J., (2010), Robust optimization exploration using NURBs-based metamodeling techniques. ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Vol. 3, 239-250, DOI:10.1115/DETC2010-28226. href="http://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleid=1611678"
Steuben, John C. and Turner, Cameron J., (2010), Robust optimization exploration using NURBs-based metamodeling techniques. ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Vol. 3, 239-250, DOI:10.1115/DETC2010-28226. http://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleid=1611678
Rights
This source code can be requested from the Colorado School of Mines, Research Data Services group at preservedata@mines.edu. Ask for: Cameron Turner's beam stiffness computer code. Sample files, a data run and executables are freely available at the same item title but parenthetically named as dataset sample.
This source code is copyrighted by: Colorado School of Mines, University of Texas at Austin, Los Alamos National Lab. Users must provide credit to the Colorado School of Mines, University of Texas at Austin, Los Alamos National Lab and the National Science Foundation.
This source code is copyrighted by: Colorado School of Mines, University of Texas at Austin, Los Alamos National Lab. Users must provide credit to the Colorado School of Mines, University of Texas at Austin, Los Alamos National Lab and the National Science Foundation.