﻿<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<?application progid="SMath Solver" version="1.3.0.9126"?>
<worksheet xmlns="http://smath.info/schemas/worksheet/1.0">
  <settings ppi="144">
    <identity>
      <id>cef39688-19a2-4d0c-afdb-75fe08b745b4</id>
      <revision>4</revision>
    </identity>
    <calculation>
      <precision>3</precision>
      <exponentialThreshold>5</exponentialThreshold>
      <trailingZeros>false</trailingZeros>
      <significantDigitsMode>false</significantDigitsMode>
      <mixedNumbers>false</mixedNumbers>
      <roundingMode>0</roundingMode>
      <approximateEqualAccuracy>3</approximateEqualAccuracy>
      <fractions>decimal</fractions>
    </calculation>
    <pageModel active="false" viewMode="2" printGrid="false" printAreas="true" simpleEqualsOnly="false" printBackgroundImages="true" hideElementsHighlightings="true">
      <paper id="9" orientation="Portrait" width="827" height="1169" />
      <margins left="39" right="39" top="49" bottom="49" />
      <header alignment="Center" color="#a9a9a9">&amp;[DATE] &amp;[TIME] - &amp;[FILENAME]</header>
      <footer alignment="Center" color="#a9a9a9">&amp;[PAGENUM] / &amp;[COUNT]</footer>
      <backgrounds />
    </pageModel>
    <dependencies>
      <assembly name="SMath Core" version="1.73.9126.0" guid="a37cba83-b69c-4c71-9992-55ff666763bd" />
      <assembly name="MathRegion" version="1.73.9126.0" guid="02f1ab51-215b-466e-a74d-5d8b1cf85e8d" />
      <assembly name="PictureRegion" version="1.73.9126.0" guid="06b5df04-393e-4be7-9107-305196fcb861" />
      <assembly name="SpecialFunctions" version="1.73.9126.0" guid="2814e667-4e12-48b1-8d51-194e480eabc5" />
    </dependencies>
  </settings>
  <regions type="content">
    <region left="72" top="63" width="114" height="24" color="#000000" fontSize="10">
      <math>
        <input>
          <e type="operand">E</e>
          <e type="operand">200000</e>
          <e type="operand" style="unit">MPa</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
    <region left="72" top="99" width="97" height="30" color="#000000" fontSize="10">
      <math>
        <input>
          <e type="operand">R.m</e>
          <e type="operand">900</e>
          <e type="operand" style="unit">MPa</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
    <region left="72" top="135" width="97" height="30" color="#000000" fontSize="10">
      <math>
        <input>
          <e type="operand">R.p</e>
          <e type="operand">850</e>
          <e type="operand" style="unit">MPa</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
    <region left="72" top="180" width="86" height="47" color="#000000" fontSize="10">
      <math>
        <input>
          <e type="operand">R.m</e>
          <e type="operand">E</e>
          <e type="operator" args="2">/</e>
        </input>
        <result action="numeric">
          <e type="operand">0.004</e>
        </result>
      </math>
    </region>
    <region left="72" top="243" width="161" height="120" color="#000000" fontSize="10">
      <math>
        <input>
          <e type="operand">ψ</e>
          <e type="operand">R.m</e>
          <e type="operand">E</e>
          <e type="operator" args="2">/</e>
          <e type="operand">0.003</e>
          <e type="operator" args="2">&gt;</e>
          <e type="operand">1.375</e>
          <e type="operand">125</e>
          <e type="operand">R.m</e>
          <e type="operand">E</e>
          <e type="operator" args="2">/</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">-</e>
          <e type="operand">1</e>
          <e type="function" args="3">if</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
    <region left="72" top="378" width="76" height="24" color="#000000" fontSize="10">
      <math>
        <input>
          <e type="operand">ψ</e>
        </input>
        <result action="numeric">
          <e type="operand">0.812</e>
        </result>
      </math>
    </region>
    <region left="72" top="414" width="113" height="30" color="#000000" fontSize="10">
      <math>
        <input>
          <e type="operand">σ'.f</e>
          <e type="operand">1350</e>
          <e type="operand" style="unit">MPa</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
    <region left="72" top="450" width="90" height="24" color="#000000" fontSize="10">
      <math>
        <input>
          <e type="operand">b</e>
          <e type="operand">0.087</e>
          <e type="operator" args="1">-</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
    <region left="72" top="486" width="159" height="30" color="#000000" fontSize="10">
      <math>
        <input>
          <e type="operand">ε'.f</e>
          <e type="operand">0.59</e>
          <e type="operand">ψ</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">:</e>
        </input>
        <result action="numeric">
          <e type="operand">0.479</e>
        </result>
      </math>
    </region>
    <region left="72" top="522" width="82" height="24" color="#000000" fontSize="10">
      <math>
        <input>
          <e type="operand">c</e>
          <e type="operand">0.58</e>
          <e type="operator" args="1">-</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
    <region left="72" top="567" width="100" height="30" color="#000000" fontSize="10">
      <math>
        <input>
          <e type="operand">ε.a</e>
          <e type="operand">0.00308</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
    <region left="72" top="603" width="97" height="30" color="#000000" fontSize="10">
      <math>
        <input>
          <e type="operand">σ.m</e>
          <e type="operand">200</e>
          <e type="operand" style="unit">MPa</e>
          <e type="operator" args="2">*</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
    <region left="99" top="630" width="277" height="102" color="#000000">
      <picture>
        <raw format="png" encoding="base64">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</raw>
      </picture>
    </region>
    <region left="99" top="756" width="264" height="98" color="#000000" fontSize="10">
      <math optimize="2">
        <input>
          <e type="operand">NN</e>
          <e type="operand">σ'.f</e>
          <e type="operand">σ.m</e>
          <e type="operator" args="2">-</e>
          <e type="operand">E</e>
          <e type="operator" args="2">/</e>
          <e type="operand">NN</e>
          <e type="operand">b</e>
          <e type="operand">c</e>
          <e type="operator" args="2">-</e>
          <e type="bracket">(</e>
          <e type="operator" args="2">^</e>
          <e type="operator" args="2">*</e>
          <e type="operand">ε'.f</e>
          <e type="operator" args="2">+</e>
          <e type="operand">ε.a</e>
          <e type="operator" args="2">/</e>
          <e type="bracket">(</e>
          <e type="operand">1</e>
          <e type="operator" args="1">-</e>
          <e type="operand" style="unit">c</e>
          <e type="operator" args="2">/</e>
          <e type="operator" args="2">^</e>
          <e type="operator" args="2">:</e>
        </input>
      </math>
    </region>
  </regions>
</worksheet>