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The scaling of the strength of nuclear graphite Statistical aspects and Implications for testing Chris Wheatley

The scaling of the strength of nuclear graphite

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The scaling of the strength of nuclear graphite. Statistical aspects and I mplications for testing Chris Wheatley. Outline. Strength measures Variability scales in graphite Strength scaling mechanisms The Weibull strength theory Statistical-theoretical basis Comparisons with data - PowerPoint PPT Presentation

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Page 1: The scaling of the strength of nuclear  graphite

The scaling of the strength of nuclear graphite

Statistical aspects andImplications for testing

Chris Wheatley

Page 2: The scaling of the strength of nuclear  graphite

Strength measuresVariability scales in graphiteStrength scaling mechanismsThe Weibull strength theoryStatistical-theoretical basisComparisons with dataConclusions

Outline

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Page 3: The scaling of the strength of nuclear  graphite

Non-continuum propertiesContinuum properties

Load configurationSpecimen size & geometryLoad-displacement reference pointSurface finishGlobal & local, scalar stress metrics

Strength measures

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Material properties

Other

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Non-continuum variability Defects Porosity Native particles – ‘grains’ Crystallites …

Continuum variability – intra componentContinuum variability – extra component

Variability scales in graphite

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Page 5: The scaling of the strength of nuclear  graphite

Elastic energy source impinges specimen boundaries

Inelastic energy sinks impinge specimen boundaries

Non-continuum dominanceNon-continuum statistics

Strength scaling mechanisms

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Page 6: The scaling of the strength of nuclear  graphite

𝐹=1−exp (−∫𝑉 (max (𝜎−𝛾 ,0)/𝛿 )𝛽𝑑𝑉 /𝑉 0)

The Weibull strength theory

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The Weibull distribution is one of three extreme value distributions

The other two distributions are not applicable

Close analogy with the normal distribution and the central limit theorem

Its validity does not depend on the fracture mechanism when certain conditions are satisfied

Statistical-theoretical basis

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Comparisons with data

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Neighbour & Wilson - I

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Extrapolated…

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Neighbour & Wilson - II

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Potter & Olds

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Parameter Perpendicular Parallel Units

5.55 5.17 None

4.01 5.42 MPa

7.91 10.02 MPa

Weibull distribution parameters

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Small specimen data - parallel

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Small specimen data - perpendicular

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Non-continuum variability affects macro-scale strength

The Weibull strength theory is applicableThe theoretical basis is sound; it does not apply

to Non-continuum dominance

Very small specimens Steep stress gradients

Small sample sizes Hybrid populations

Comparisons with data are encouraging

Conclusions

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