TY - JOUR

T1 - Correction to

T2 - AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2021

AU - Doshi, Mitansh

AU - Ning, Xin

N1 - Publisher Copyright:
© 2021, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

PY - 2021

Y1 - 2021

N2 - Correction Notice Following figure label should be changed-Fig. 5 Moving one node and computing the buckling load (a) and (b) node trajectory (NTrain =180, NTest = 20). Moving the two adjacent nodes and computing the buckling load (c) and (d) node trajectories (NTrain =450, NTest = 50). Moving two opposite nodes and computing the buckling load (e) and (f) node trajectories (NTrain =405, NTest = 45). Fig 6. Buckling load behavior against the node locations with R/T =100,200,300 Moving one node and computing the buckling load (a) and (b) node trajectory (NTrain =180, NTest =20) Moving the two adjacent nodes and computing the buckling load (c) and (d) nodes trajectories (NTrain =270, NTest =30). Fig 7. Buckling load behavior against different strip size. Correlation between the machine learning model and the FEA Method buckling load (a)(c) and (b) one strip width (NTrain =630, NTest =70) and (d) five strip widths (NTrain =810, NTest =90). Fig 8. Buckling load behavior against the ply angle and ply rotation: Changing the ply angle and ply rotation and computing buckling (a) (c) and ply stacking sequence (b)(d) respectively (NTrain =360, NTest =40). Changing the ply angle and ply rotation of all five strips individually and computing the buckling load (e) and (f) grouping of the five strips (NTrain =594, NTest =156).

AB - Correction Notice Following figure label should be changed-Fig. 5 Moving one node and computing the buckling load (a) and (b) node trajectory (NTrain =180, NTest = 20). Moving the two adjacent nodes and computing the buckling load (c) and (d) node trajectories (NTrain =450, NTest = 50). Moving two opposite nodes and computing the buckling load (e) and (f) node trajectories (NTrain =405, NTest = 45). Fig 6. Buckling load behavior against the node locations with R/T =100,200,300 Moving one node and computing the buckling load (a) and (b) node trajectory (NTrain =180, NTest =20) Moving the two adjacent nodes and computing the buckling load (c) and (d) nodes trajectories (NTrain =270, NTest =30). Fig 7. Buckling load behavior against different strip size. Correlation between the machine learning model and the FEA Method buckling load (a)(c) and (b) one strip width (NTrain =630, NTest =70) and (d) five strip widths (NTrain =810, NTest =90). Fig 8. Buckling load behavior against the ply angle and ply rotation: Changing the ply angle and ply rotation and computing buckling (a) (c) and ply stacking sequence (b)(d) respectively (NTrain =360, NTest =40). Changing the ply angle and ply rotation of all five strips individually and computing the buckling load (e) and (f) grouping of the five strips (NTrain =594, NTest =156).

UR - http://www.scopus.com/inward/record.url?scp=85125764731&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85125764731&partnerID=8YFLogxK

U2 - 10.2514/6.2021-0308.c1

DO - 10.2514/6.2021-0308.c1

M3 - Comment/debate

AN - SCOPUS:85125764731

JO - AIAA Scitech 2021 Forum

JF - AIAA Scitech 2021 Forum

M1 - AIAA 2021-0308.c1

Y2 - 11 January 2021 through 15 January 2021

ER -

Duration: Jan 11 2021 → Jan 15 2021