
PLANNING, DESIGNING, AND CONSTRUCTING TENSION LEG PLATFORMS 227
For the reliability analysis with the first set of statistics, the collapse model statistics were generated by
directly comparing the original test data on tubulars subjected to hydrostatic collapse, as reported in PRAC
86-55, against the LRFD collapse equation, which formed the basis for the original API LRFD calibration.
In addition to the base-case analyses corresponding to each set of statistics, a number sensitivity cases were
considered in which bias in material yield and uncertainty in the collapse model were varied.
The reliability analyses were carried out using the Monte Carlo approach with an explicit limit state function.
As a check of the approach, the analysis cases studied in the original LRFD calibration of API 2A (PRAC 88-
22) were first re-analyzed. The current analysis generally estimated somewhat lower values of β for a given
safety factor. This difference can be attributed to the use of more accurate simulation and modeling. In this
sense, the present analyses could be deemed more accurate and reasonably conservative with respect to the
original LRFD calibration.
PRAC 88-22 points out that the β values associated with the safety factor of 2.0 are high (4.0 to 5.0)
suggesting that such a safety factor may be excessive. Also, API 2A-LRFD commentary suggests a β of a
least 3.0 be sought for hydrostatic collapse. This target is higher than the typical β range of 1.5 to 2.5 sought
by API 2A. Thus, a β value close to 3.0 was deemed acceptable to arrive at the safety factor.
Overall, the analyses performed for RP 2T found β values equal to or greater than 3.0 for all benchmark
analysis cases with a collapse safety factor of 1.67. Furthermore, the safety factor of 1.67 is consistent with
the LRFD effective safety factor derived from the calibrated load and resistance factors for the Category A
load case. A safety factor of 1.67 is recommended.
C.4 Girth Weld Analysis
C.4.1 Girth Weld Fatigue Damage Analysis
The S-N curves provided by BS 7608 are recommended. Other traditional curves (e.g. AWS, SWRI, etc.) may
be used as long as they are justified by relevant data.
Historic practice has been to use a safety factor of 10 on life for critical welded components that are not
inspectable. In the case of tendons, experience with operating TLPs has shown that actual implementation of
in-situ inspection is a very challenging exercise and that opting for the noninspectable tendon design is a
more cost-effective and reliable alternative. However, the cited factor of 10 on life only attempts to account for
uncertainties in load, resistance, and damage accumulation, but not for the fact that tendons are serial
components in nature and that the failure of a single weld is unacceptable not solely due to structural
consequences, but also due to potential collateral damage of adjacent tendons and/or risers.
C.4.2 Girth Weld Fracture Mechanics Analysis
The apparent dichotomy in the selection of the life factors for FM and S-N analyses is related to the fact that
S-N data/analysis includes both initiation and propagation, whereas, fracture mechanics only considers the
propagation phase. Full-scale fatigue testing of production quality welds should be considered where
uncertainty exists as to which S-N curve is appropriate. Likewise, fracture-mechanics tests in the applicable
environment should be considered where there is uncertainty as to which da/dN crack growth curve should be
used.
Although the leak-before-break design philosophy has been recognized in various engineering practices,
recent tests on large girth welded pipe (Buitrago et al. 2003
[106]
) has shown that the leakage of through-
thickness cracks induced by cyclic loading is very limited, even under high pressure. It is not until the through-
thickness crack becomes much longer than anticipated that measurable amounts of water flows through the
crack. Therefore, true LBB may only be feasible when target fracture toughness values for the welds are
established on the basis of fully re-characterized cracks after breaking through thickness and the leak rate is
sufficiently large to be detected during operation at the time assumed in the design. Having said this, setting
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