Combining Errors for Stress Calculation

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SUMMARY

This discussion focuses on the computation of standard error in stress-related calculations using specific formulas. The user, Charles, presents a complex equation involving variables A, B, and C, along with their respective standard errors, ΔA, ΔB, and ΔC. The correct formula for combining errors is confirmed to be y = k2 . √[ΔA² + k1² . (ΔA² + ΔB² + ΔC²)], while an alternative suggestion involving mean square error is deemed incorrect. The conversation emphasizes the importance of accurately applying error combination formulas in statistical calculations.

PREREQUISITES
  • Understanding of standard error and its significance in statistics
  • Familiarity with error propagation formulas
  • Basic knowledge of algebraic manipulation of equations
  • Experience with stress analysis in engineering contexts
NEXT STEPS
  • Study the derivation of error propagation formulas in statistics
  • Learn about the application of standard error in engineering stress calculations
  • Explore the differences between standard error and mean square error
  • Investigate the use of software tools for statistical analysis, such as R or Python's SciPy library
USEFUL FOR

Engineers, statisticians, and researchers involved in stress analysis and error calculation methodologies will benefit from this discussion.

charlesltl
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Hello Everyone,

I am trying to compute the standard error of a stress related calculation.

Let's consider the following:

A \pm \DeltaA
B \pm \DeltaB

where A and B are the mean values while \DeltaA and \DeltaB are the respective standard errors.

The common combination of errors formulas are as follows:

y = A + B then, \Deltay = √(\DeltaA2+\DeltaB2)

y = k. A then, \Deltay = k.\DeltaA

Now my equation is,

y = k2 . [ A + k1 . ( A + B + C ) ]

May I know if my following working is correct?

( A + B + C )
= √(\DeltaA2+\DeltaB2 + \DeltaC2)

k1 . ( A + B + C )
= k1 . √(\DeltaA2+\DeltaB2 + \DeltaC2)

A + k1 . ( A + B + C )
= √[\DeltaA2 + (k1 . √(\DeltaA2+\DeltaB2 + \DeltaC2))2]
= √[\DeltaA2 + k12 . (\DeltaA2+\DeltaB2 + \DeltaC2)]

k2 . [ A + k1 . ( A + B + C ) ]
= k2 . √[\DeltaA2 + k12 . (\DeltaA2+\DeltaB2 + \DeltaC2)]


I am confused because I was suggested that it should be,
k2 . [ A + k1 . ( A + B + C ) ]
= k2 . √ [k1. \DeltaA2 + k12 . (\DeltaA2+\DeltaB2 + \DeltaC2)]

Your input in highly appreciated.

Charles
 
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That last appears to be the "mean square error" rather than the "error".
 
Would you suggest that my working to compute the standard error is correct?
 

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