2008
DOI: 10.1016/j.compositesb.2008.01.004
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Mechanical property variability in FRP laminates and its effect on failure prediction

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Cited by 105 publications
(46 citation statements)
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“…A common feature of most of these studies is the treatment of the primary uncertain parameters as random variables with assumed probabilistic characteristics. Experimental studies to investigate the appropriateness of the assumed probability distributions of the material parameters have been undertaken for different composite materials; see [8][9][10][11][12][13].…”
Section: Introductionmentioning
confidence: 99%
“…A common feature of most of these studies is the treatment of the primary uncertain parameters as random variables with assumed probabilistic characteristics. Experimental studies to investigate the appropriateness of the assumed probability distributions of the material parameters have been undertaken for different composite materials; see [8][9][10][11][12][13].…”
Section: Introductionmentioning
confidence: 99%
“…(14) shows that the original material matrix with a random Poisson's ratio is divided into constant sub-matrices which are multipliers to the stochastic field functions in an ascending order. Of course, the sub-matrices Q ðlÞ as constant matrices for respective power stochastic field functions are expressed in terms of q ijðlÞ as follows:…”
Section: Stress-strain Relation With Random Poisson's Ratiomentioning
confidence: 99%
“…Regarding the failure probability or reliability, Onkar et al [10,11], Cassenti [12], Kam et al. [13] and Lekou and Philippidis [14] have demonstrated the effect of random material properties. Hilton and Yi [15] deal with the topic on the delamination of composites.…”
Section: Introductionmentioning
confidence: 97%
“…The effect of random constituent elastic properties on the effective composite elastic moduli has been investigated by Kaminski [20] and Sakata, et al [28] using the stochastic finite element method (SFEM). Shaw and coworkers [32] estimated effective composite properties based on random constituent strength and stiff- Reliability of laminated composites based on random composite properties and layer thicknesses was investigated using SFEM and MC, β, and first order second moment reliability methods [22], the Edgeworth expansion method [21], and FORM and MC with trained neural networks [23]. The propagation of uncertainty from random constituents up through the effective composite properties to compute the reliability of composite structures using perturbation based stochastic finite elements has been investigated in Refs.…”
Section: Introductionmentioning
confidence: 99%