TY  - JOUR
PB  - Elsevier Ltd
JF  - Composite Structures
A1  - Shah, S.Z.H.
A1  - Lee, J.
SN  - 02638223
KW  - Carbon; Electric conductivity; Forecasting; Laminated composites; Lightning; Stochastic models
KW  -  Carbon-epoxy composite; Carbon-epoxy laminates; Damage modelling; Damage prediction; Electrical conductivity; Lightning damage prediction; Random properties; Random property generation; Stochastics; Thermal damage
KW  -  Stochastic systems
Y1  - 2022///
TI  - Stochastic lightning damage prediction of carbon/epoxy composites with material uncertainties
AV  - none
N1  - cited By 15
ID  - scholars17077
N2  - This study presents a novel stochastic modeling framework predicting lightning thermal damage in carbon/epoxy composites. The stochastic lightning damage model (SLDM) was developed with random distributions of composite's electrical conductivity and void. The Box-Muller transformation was applied to generate random in-plane and through-thickness electrical conductivities with Gaussian distributions. The SLDM suggested that the predicted lightning thermal damage to carbon/epoxy composites increased slightly with the use of stochastic electrical conductivity, but the presence of voids did not significantly affect the damage development. The predicted size and shape of lightning thermal damage agreed fairly well with experimental results. In addition, the proposed SLDM was first capable of predicting asymmetric lightning damage to carbon/epoxy composites, which was not demonstrated by conventional (deterministic) lightning damage models. © 2021 Elsevier Ltd
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120349348&doi=10.1016%2fj.compstruct.2021.115014&partnerID=40&md5=5dbabb46aece23c9af682f76c1a71b3e
VL  - 282
ER  -