docs: use fixed MITC4 reference tolerance
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@@ -80,26 +80,26 @@ zero-clamped and mismatched rows are not omitted, averaged, or synthesized.
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## 5. Tolerance and decision rule
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For each case and component `c` independently, using only finite Abaqus rows:
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For every matched row:
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```text
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reference_scale_c = max(abs(abaqus_value_i))
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tolerance_c = 1e-9 + 1e-6 * reference_scale_c
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tolerance = 1.0e-5
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absolute_error_i = abs(fesa_value_i - abaqus_value_i)
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```
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The `1e-9` floor is expressed in the model's user-consistent length unit for
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`U1/U2/U3` and is dimensionless for `UR1/UR2/UR3`. A zero reference scale leaves only
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the absolute floor; no alternate denominator is introduced.
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The fixed `1.0e-5` value is expressed in the model's user-consistent length unit for
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`U1/U2/U3` and is dimensionless for `UR1/UR2/UR3`. Neither a component reference scale
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nor a row-specific denominator changes the value. Reference scale may be reported as
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non-decision diagnostic information. The separate B33 mixed tolerance is unchanged.
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- Every matched `U1/U2/U3` row must satisfy `absolute_error_i <= tolerance_c`.
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- Every matched `U1/U2/U3` row must satisfy `absolute_error_i <= tolerance`.
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Any U exceedance fails that case and the feature reference comparison.
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- `UR1/UR2/UR3` uses the same formula. Every exceedance produces a deterministic
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- `UR1/UR2/UR3` uses the same fixed value. Every exceedance produces a deterministic
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warning containing the case, source row, component, error, and tolerance, but does
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not change pass/fail.
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The comparison report records every U/UR row decision, maximum absolute error,
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component-scale normalized error, RMS error, vector-norm error, worst source
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fixed-tolerance-normalized error, RMS error, vector-norm error, worst source
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row/component, and every UR warning.
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## 6. Coverage and handoff
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