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http://dx.doi.org/10.7234/composres.2021.34.6.394

Stiffness Enhancement of Piecewise Integrated Composite Beam using 3D Training Data Set  

Ji, Seungmin (Department of Mechanical Engineering, Graduated School, Kongju National University)
Ham, Seok Woo (Department of Mechanical Engineering, Graduated School, Kongju National University)
Choi, Jin Kyung (Lacomtech. Co. Ltd.)
Cheon, Seong S. (Department of Mechanical Engineering, Graduated School, Kongju National University)
Publication Information
Composites Research / v.34, no.6, 2021 , pp. 394-399 More about this Journal
Abstract
Piecewise Integrated Composite (PIC) is a new concept to design composite structures of multiple stacking angles both for in-plane direction and through the thickness direction in order to improve stiffness and strength. In the present study, PIC beam was suggested based on 3D training data instead of 2D data, which did offer a limited behavior of beam characteristics, with enhancing the stiffness accompanied by reduced tip deformation. Generally training data were observed from the designated reference finite elements, and preliminary FE analysis was conducted with respect to regularly distributed reference elements. Also triaxiality values for each element were obtained in order to categorize the loading state, i.e. tensile, compressive or shear. The main FE analysis was conducted to predict the mechanical characteristics of the PIC beam.
Keywords
Piecewise Integrated Composite Beam; 2 point concentrated load; Machine Learning; Stress triaxiality; k-NN classification;
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