<p>CT-based finite element analysis (FEA) of human bones helps estimate fracture risk in clinical practice by linking bone ash density (<InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10704_2024_836_Article_IEq1.gif" Format="GIF" Height="12" Rendition="HTML" Resolution="72" Type="Linedraw" Width="32" /> </InlineMediaObject> <EquationSource Format="TEX">\(\rho _{ash}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>ρ</mi> <mrow> <mi mathvariant="italic">ash</mi> </mrow> </msub> </math></EquationSource> </InlineEquation>) to mechanical parameters. However, phase field models for fracture prediction require the heterogeneous fracture toughness <InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10704_2024_836_Article_IEq2.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="27" /> </InlineMediaObject> <EquationSource Format="TEX">\(G_{Ic}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>G</mi> <mrow> <mi mathvariant="italic">Ic</mi> </mrow> </msub> </math></EquationSource> </InlineEquation>, which can be derived from the critical stress intensity factor <InlineEquation ID="IEq3"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10704_2024_836_Article_IEq3.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="28" /> </InlineMediaObject> <EquationSource Format="TEX">\(K_{Ic}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>K</mi> <mrow> <mi mathvariant="italic">Ic</mi> </mrow> </msub> </math></EquationSource> </InlineEquation>, determined through various experimental methods. Due to a lack of standards for determining cortical bone’s <InlineEquation ID="IEq4"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10704_2024_836_Article_IEq3.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="28" /> </InlineMediaObject> <EquationSource Format="TEX">\(K_{Ic}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>K</mi> <mrow> <mi mathvariant="italic">Ic</mi> </mrow> </msub> </math></EquationSource> </InlineEquation>, an experimental campaign is presented using 53 cortical specimens from two fresh frozen femurs to investigate whether a correlation exists between <InlineEquation ID="IEq5"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10704_2024_836_Article_IEq3.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="28" /> </InlineMediaObject> <EquationSource Format="TEX">\(K_{Ic}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>K</mi> <mrow> <mi mathvariant="italic">Ic</mi> </mrow> </msub> </math></EquationSource> </InlineEquation> and <InlineEquation ID="IEq6"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10704_2024_836_Article_IEq1.gif" Format="GIF" Height="12" Rendition="HTML" Resolution="72" Type="Linedraw" Width="32" /> </InlineMediaObject> <EquationSource Format="TEX">\(\rho _{ash}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>ρ</mi> <mrow> <mi mathvariant="italic">ash</mi> </mrow> </msub> </math></EquationSource> </InlineEquation>. We investigated various experimental techniques for correlating <InlineEquation ID="IEq7"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10704_2024_836_Article_IEq3.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="28" /> </InlineMediaObject> <EquationSource Format="TEX">\(K_{Ic}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>K</mi> <mrow> <mi mathvariant="italic">Ic</mi> </mrow> </msub> </math></EquationSource> </InlineEquation> with <InlineEquation ID="IEq8"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10704_2024_836_Article_IEq1.gif" Format="GIF" Height="12" Rendition="HTML" Resolution="72" Type="Linedraw" Width="32" /> </InlineMediaObject> <EquationSource Format="TEX">\(\rho _{ash}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>ρ</mi> <mrow> <mi mathvariant="italic">ash</mi> </mrow> </msub> </math></EquationSource> </InlineEquation>. We conducted FEAs employing the phase field method (PFM) to determine the most suitable correlation among the five possible ones stemming from the experimental methods. The ASTM standard using displacement at force application point was found to be the recommended experimental method for the estimation of <InlineEquation ID="IEq9"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10704_2024_836_Article_IEq3.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="28" /> </InlineMediaObject> <EquationSource Format="TEX">\(K_{Ic}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>K</mi> <mrow> <mi mathvariant="italic">Ic</mi> </mrow> </msub> </math></EquationSource> </InlineEquation> perpendicular to osteons’ direction <Equation ID="Equ15"> <MediaObject> <ImageObject Color="BlackWhite" FileRef="10704_2024_836_Article_Equ15.gif" Format="GIF" Height="22" Rendition="HTML" Resolution="72" Type="Linedraw" Width="348" /> </MediaObject> <EquationSource Format="TEX">\(\begin{aligned} K_{Ic} [MPa\sqrt{m}]{=}1.89\left( \rho _{ash} [gr/cc] \right) ^{1.88} \,\, R^2{=}0.5374. \end{aligned}\)</EquationSource> <EquationSource Format="MATHML"><math display="block"> <mrow> <mtable> <mtr> <mtd columnalign="right"> <mrow> <msub> <mi>K</mi> <mrow> <mi mathvariant="italic">Ic</mi> </mrow> </msub> <mrow> <mo stretchy="false">[</mo> <mi>M</mi> <mi>P</mi> <mi>a</mi> <msqrt> <mi>m</mi> </msqrt> <mo stretchy="false">]</mo> </mrow> <mo>=</mo> <mn>1.89</mn> <msup> <mfenced close=")" open="("> <msub> <mi>ρ</mi> <mrow> <mi mathvariant="italic">ash</mi> </mrow> </msub> <mrow> <mo stretchy="false">[</mo> <mi>g</mi> <mi>r</mi> <mo stretchy="false">/</mo> <mi>c</mi> <mi>c</mi> <mo stretchy="false">]</mo> </mrow> </mfenced> <mrow> <mn>1.88</mn> </mrow> </msup> <mspace width="0.166667em" /> <mspace width="0.166667em" /> <msup> <mi>R</mi> <mn>2</mn> </msup> <mo>=</mo> <mn>0.5374</mn> <mo>.</mo> </mrow> </mtd> </mtr> </mtable> </mrow> </math></EquationSource> </Equation>The corresponding statistical critical energy release rate bounds were determined: <Equation ID="Equ16"> <MediaObject> <ImageObject Color="BlackWhite" FileRef="10704_2024_836_Article_Equ16.gif" Format="GIF" Height="22" Rendition="HTML" Resolution="72" Type="Linedraw" Width="359" /> </MediaObject> <EquationSource Format="TEX">\(\begin{aligned} G_{Ic}[N/m]= 321.94 (\rho _{ash}[gr/cc])^{1.69} \times exp(\pm 2SD), \end{aligned}\)</EquationSource> <EquationSource Format="MATHML"><math display="block"> <mrow> <mtable> <mtr> <mtd columnalign="right"> <mrow> <msub> <mi>G</mi> <mrow> <mi mathvariant="italic">Ic</mi> </mrow> </msub> <mrow> <mo stretchy="false">[</mo> <mi>N</mi> <mo stretchy="false">/</mo> <mi>m</mi> <mo stretchy="false">]</mo> </mrow> <mo>=</mo> <mn>321.94</mn> <msup> <mrow> <mo stretchy="false">(</mo> <msub> <mi>ρ</mi> <mrow> <mi mathvariant="italic">ash</mi> </mrow> </msub> <mrow> <mo stretchy="false">[</mo> <mi>g</mi> <mi>r</mi> <mo stretchy="false">/</mo> <mi>c</mi> <mi>c</mi> <mo stretchy="false">]</mo> </mrow> <mo stretchy="false">)</mo> </mrow> <mrow> <mn>1.69</mn> </mrow> </msup> <mo>×</mo> <mi>e</mi> <mi>x</mi> <mi>p</mi> <mrow> <mo stretchy="false">(</mo> <mo>±</mo> <mn>2</mn> <mi>S</mi> <mi>D</mi> <mo stretchy="false">)</mo> </mrow> <mo>,</mo> </mrow> </mtd> </mtr> </mtable> </mrow> </math></EquationSource> </Equation>with a standard deviation <InlineEquation ID="IEq10"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10704_2024_836_Article_IEq10.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="78" /> </InlineMediaObject> <EquationSource Format="TEX">\(SD= 0.30\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>S</mi> <mi>D</mi> <mo>=</mo> <mn>0.30</mn> </mrow> </math></EquationSource> </InlineEquation> representing a 95.4% confidence interval. The average <InlineEquation ID="IEq11"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10704_2024_836_Article_IEq2.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="27" /> </InlineMediaObject> <EquationSource Format="TEX">\(G_{Ic}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>G</mi> <mrow> <mi mathvariant="italic">Ic</mi> </mrow> </msub> </math></EquationSource> </InlineEquation> resulted in good correlations between the predicted fracture force by PFM-FEA of four representative specimens and experimental fracture forces. The proposed correlations will be used in CT-based PFM FEA to estimate the risk of hip and humeral fractures.</p>

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Heterogeneous fracture toughness of human cortical bone tissue

  • Maxime Levy,
  • Zohar Yosibash

摘要

CT-based finite element analysis (FEA) of human bones helps estimate fracture risk in clinical practice by linking bone ash density ( \(\rho _{ash}\) ρ ash ) to mechanical parameters. However, phase field models for fracture prediction require the heterogeneous fracture toughness \(G_{Ic}\) G Ic , which can be derived from the critical stress intensity factor \(K_{Ic}\) K Ic , determined through various experimental methods. Due to a lack of standards for determining cortical bone’s \(K_{Ic}\) K Ic , an experimental campaign is presented using 53 cortical specimens from two fresh frozen femurs to investigate whether a correlation exists between \(K_{Ic}\) K Ic and \(\rho _{ash}\) ρ ash . We investigated various experimental techniques for correlating \(K_{Ic}\) K Ic with \(\rho _{ash}\) ρ ash . We conducted FEAs employing the phase field method (PFM) to determine the most suitable correlation among the five possible ones stemming from the experimental methods. The ASTM standard using displacement at force application point was found to be the recommended experimental method for the estimation of \(K_{Ic}\) K Ic perpendicular to osteons’ direction \(\begin{aligned} K_{Ic} [MPa\sqrt{m}]{=}1.89\left( \rho _{ash} [gr/cc] \right) ^{1.88} \,\, R^2{=}0.5374. \end{aligned}\) K Ic [ M P a m ] = 1.89 ρ ash [ g r / c c ] 1.88 R 2 = 0.5374 . The corresponding statistical critical energy release rate bounds were determined: \(\begin{aligned} G_{Ic}[N/m]= 321.94 (\rho _{ash}[gr/cc])^{1.69} \times exp(\pm 2SD), \end{aligned}\) G Ic [ N / m ] = 321.94 ( ρ ash [ g r / c c ] ) 1.69 × e x p ( ± 2 S D ) , with a standard deviation \(SD= 0.30\) S D = 0.30 representing a 95.4% confidence interval. The average \(G_{Ic}\) G Ic resulted in good correlations between the predicted fracture force by PFM-FEA of four representative specimens and experimental fracture forces. The proposed correlations will be used in CT-based PFM FEA to estimate the risk of hip and humeral fractures.