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Roping in uncertainty – measuring the tensile strength of steel wire ropes

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(1)

Roping in uncertainty – measuring the

tensile strength of steel wire ropes

(2)

Presentation outline

The test environment Why test?

The detail The outcome

The process

(3)

Why do we test new ropes?

Theory vs. Practice

Rope strength depends on:

• Material properties of wires

• Wire uniformity

• Rope construction

(4)

Why do we test ropes in service?

(5)

High force, high stakes environment

• MFL Tensile tester

o 15 000 kN capacity testing from 750 kN (5% of FS) o 2 m stroke length, 8 m daylight

• Laboratory space 1200m2, not climate controlled

• Calibration duration, cost

• No CRM, no PT schemes

• No re-test of the same UUT

(6)

Enter uncertainty…

? Instrumentation

? Environment e.g. temperature and humidity

? Variability

? Resolution of force measurement

? Electromagnetic noise

? Test method

? Personnel

(7)

The estimation process

The GUM method

• Model the measurement

• Identify and quantify all sources of error

• Evaluate all sources of error to obtain the uncertainty contribution

• Combine uncertainty contributions

• Calculate the degrees of freedom for the combined uncertainty

• Choose level of confidence

• Calculate the expanded uncertainty, U

• Report the result

(8)

The detail – Mathematical model

C

C

(9)

Sources of error

• Accuracy of machine force measurement system

• Accuracy of reference load cell – uncertainty quoted by calibration lab

• Resolution of force measurement

• Repeatability

• Reproducibility

• Effect of temperature

(10)

Uncertainty budget

(11)

Temperature effect

-1.00%

-0.75%

-0.50%

-0.25%

0.00%

0.25%

0.50%

0.75%

1.00%

-3 2 7 12

Seasonal diff from mean rope BF

Difference from mean BF (n = 12)

Winter diff from mean [%]

Summer diff from mean [%]

Summer: +0.3%

Winter: -0.3% ΔT = 20°C (12 months to date)

(12)

The outcome – Example 1 at 852 kN working point

(13)

The outcome – Example 2 at 1965 kN working point

(14)

Room for improvement

• Temperature effect

• Control lab temperature

• Condition specimens prior to testing

• Apply a temperature correction to test result

• Accuracy of machine force measurement

• Apply correction

• Adjust machine force calculation polynomial coefficients

• Uncertainty of reference load cell

• Load cell?

• Calibration laboratory

(15)

Thank you.

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