Abstract
The extensive use of FRP composite materials in a wide range of industries, and their inherent variability, has prompted many researchers to assess their performance from a probabilistic perspective. This paper attempts to quantify the uncertainty in FRP composites and to summarise the different stochastic modelling approaches suggested in the literature. Researchers have considered uncertainties starting at a constituent (fibre/matrix) level, at the ply level or at a coupon or component level. The constituent based approach could be further classified as a random variable based stochastic computational mechanics approach (whose usage is comparatively limited due to complex test data requirements and possible uncertainty propagation errors) and the more widely used morphology based random composite modelling which has been recommended for exploring local damage and failure characteristics. The ply level analysis using either stiffness/strength or fracture mechanics based models is suggested when the ply characteristics influence the composite properties significantly, or as a way to check the propagation of uncertainties across length scales. On the other hand, a coupon or component level based uncertainty modelling is suggested when global response characteristics govern the design objectives. Though relatively unexplored, appropriate cross-fertilisation between these approaches in a multi-scale modelling framework seems to be a promising avenue for stochastic analysis of composite structures. It is hoped that this review paper could facilitate and strengthen this process. (C) 2009 Elsevier Ltd. All rights reserved.
| Original language | English |
|---|---|
| Pages (from-to) | 1673-1684 |
| Number of pages | 12 |
| Journal | Composites Part A: Applied Science and Manufacturing |
| Volume | 40 |
| Issue number | 11 |
| DOIs | |
| Publication status | Published - Nov 2009 |
Keywords
- polymer-matrix composites (PMCs)
- mechanical properties
- micro-mechanics
- statistical properties/methods
- representative volume element
- fiber-reinforced composites
- polymer matrix composites
- moving-window technique
- heterogeneous materials
- laminated composites
- mechanical-properties
- elastic composites
- failure analysis
- unidirectional composites
Cite this
Quantification of uncertainty modelling in stochastic analysis of FRP composites. / Sriramula, Srinivas; Chryssanthopoulos, Marios K.
In: Composites Part A: Applied Science and Manufacturing, Vol. 40, No. 11, 11.2009, p. 1673-1684.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Quantification of uncertainty modelling in stochastic analysis of FRP composites
AU - Sriramula, Srinivas
AU - Chryssanthopoulos, Marios K.
PY - 2009/11
Y1 - 2009/11
N2 - The extensive use of FRP composite materials in a wide range of industries, and their inherent variability, has prompted many researchers to assess their performance from a probabilistic perspective. This paper attempts to quantify the uncertainty in FRP composites and to summarise the different stochastic modelling approaches suggested in the literature. Researchers have considered uncertainties starting at a constituent (fibre/matrix) level, at the ply level or at a coupon or component level. The constituent based approach could be further classified as a random variable based stochastic computational mechanics approach (whose usage is comparatively limited due to complex test data requirements and possible uncertainty propagation errors) and the more widely used morphology based random composite modelling which has been recommended for exploring local damage and failure characteristics. The ply level analysis using either stiffness/strength or fracture mechanics based models is suggested when the ply characteristics influence the composite properties significantly, or as a way to check the propagation of uncertainties across length scales. On the other hand, a coupon or component level based uncertainty modelling is suggested when global response characteristics govern the design objectives. Though relatively unexplored, appropriate cross-fertilisation between these approaches in a multi-scale modelling framework seems to be a promising avenue for stochastic analysis of composite structures. It is hoped that this review paper could facilitate and strengthen this process. (C) 2009 Elsevier Ltd. All rights reserved.
AB - The extensive use of FRP composite materials in a wide range of industries, and their inherent variability, has prompted many researchers to assess their performance from a probabilistic perspective. This paper attempts to quantify the uncertainty in FRP composites and to summarise the different stochastic modelling approaches suggested in the literature. Researchers have considered uncertainties starting at a constituent (fibre/matrix) level, at the ply level or at a coupon or component level. The constituent based approach could be further classified as a random variable based stochastic computational mechanics approach (whose usage is comparatively limited due to complex test data requirements and possible uncertainty propagation errors) and the more widely used morphology based random composite modelling which has been recommended for exploring local damage and failure characteristics. The ply level analysis using either stiffness/strength or fracture mechanics based models is suggested when the ply characteristics influence the composite properties significantly, or as a way to check the propagation of uncertainties across length scales. On the other hand, a coupon or component level based uncertainty modelling is suggested when global response characteristics govern the design objectives. Though relatively unexplored, appropriate cross-fertilisation between these approaches in a multi-scale modelling framework seems to be a promising avenue for stochastic analysis of composite structures. It is hoped that this review paper could facilitate and strengthen this process. (C) 2009 Elsevier Ltd. All rights reserved.
KW - polymer-matrix composites (PMCs)
KW - mechanical properties
KW - micro-mechanics
KW - statistical properties/methods
KW - representative volume element
KW - fiber-reinforced composites
KW - polymer matrix composites
KW - moving-window technique
KW - heterogeneous materials
KW - laminated composites
KW - mechanical-properties
KW - elastic composites
KW - failure analysis
KW - unidirectional composites
U2 - 10.1016/j.compositesa.2009.08.020
DO - 10.1016/j.compositesa.2009.08.020
M3 - Article
VL - 40
SP - 1673
EP - 1684
JO - Composites Part A: Applied Science and Manufacturing
JF - Composites Part A: Applied Science and Manufacturing
SN - 1359-835X
IS - 11
ER -