TY - GEN
T1 - A fuzzy approach to fiber-reinforced composite material mechanics
AU - Liu, Qing
AU - Rao, Singiresu S.
PY - 2003/12/1
Y1 - 2003/12/1
N2 - Fiber-reinforced composite materials have been used very widely and have emerged as a major class of structural materials in recent years and are either used or being considered as substitutes for metals in many weight-critical components in aerospace and other industries1. In most practical applications the material parameters vary considerably and are subject to uncertainties, mainly due to the uncontrollable aspects associated with the manufacturing process. The probabilistic methods cannot be applied easily since the probability distributions of the uncertain parameters are not known. Also, in some situations, the parameters of a composite material are known only in linguistic form. Hence fuzzy concepts are introduced in this work to model the uncertainties encountered in composite material mechanics, which may be described in linguistic terms or in imprecise form as fuzzy parameters. Numerical examples are given to demonstrate the feasibility and applicability of the approach presented.
AB - Fiber-reinforced composite materials have been used very widely and have emerged as a major class of structural materials in recent years and are either used or being considered as substitutes for metals in many weight-critical components in aerospace and other industries1. In most practical applications the material parameters vary considerably and are subject to uncertainties, mainly due to the uncontrollable aspects associated with the manufacturing process. The probabilistic methods cannot be applied easily since the probability distributions of the uncertain parameters are not known. Also, in some situations, the parameters of a composite material are known only in linguistic form. Hence fuzzy concepts are introduced in this work to model the uncertainties encountered in composite material mechanics, which may be described in linguistic terms or in imprecise form as fuzzy parameters. Numerical examples are given to demonstrate the feasibility and applicability of the approach presented.
UR - http://www.scopus.com/inward/record.url?scp=84896835658&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84896835658&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84896835658
SN - 9781624101007
T3 - 44th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference
BT - 44th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
T2 - 44th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference 2003
Y2 - 7 April 2003 through 10 April 2003
ER -