2018
DOI: 10.1111/sjos.12338
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What is the shape of a bundle? An analysis of Rosen's fibrous composites experiments using the chain‐of‐bundles model

Abstract: In the 1960s, W. B. Rosen conducted some remarkable experiments on unidirectional fibrous composites that gave seminal insights into their failure under increasing tensile load. These insights led him to a grid system where the nodes in the grid were ineffective length fibers and to model the composite as something he called a chain‐of‐bundles model (i.e., a series system of parallel subsystems of horizontal nodes that he referred to as bundles), where the chain fails when one of the bundles fails. A load‐shar… Show more

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Cited by 6 publications
(4 citation statements)
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“…Below is a summary of results from Sections 2 and 4 in Li et al (2018). In this formulation, let N = {1, .…”
Section: The Gibbs Distribution Of the States Of The Fiber Bundle Modelmentioning
confidence: 99%
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“…Below is a summary of results from Sections 2 and 4 in Li et al (2018). In this formulation, let N = {1, .…”
Section: The Gibbs Distribution Of the States Of The Fiber Bundle Modelmentioning
confidence: 99%
“…The main finding of the analysis in Grego et al (see Figure 9 there) was that a Weibull with ρ = 5 and σ = 2 was a reasonable model for the lower tail of the component strength distribution of an ineffective length fiber. In Section 4.5, we discuss how Li et al (2018) use this information to see that a 4 × 4 grid is an appropriate size bundle to model Rosen's specimen data as a chainof-bundles model and to determine the Gibbs measure for the of this size. We also discuss their nonparametric estimation of the specimen breaking strength distribution for Rosen's 9 specimen breaking strengths.…”
Section: The Analysis Of Specimen A-7mentioning
confidence: 99%
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“…This approach was used to determine the shape of a bundle in Li, Gleaton and Lynch (2019) where P bundle failed when there was a route/crack across bundle. This network model may also have implications for the reliability of certain types of nanosensors.…”
Section: Overall Introductionmentioning
confidence: 99%