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The approach uses static pushover analysis of OWT support structures subject to wind and wave combined load patterns corresponding to increasing mean return period (MRP).
As a quantification of potential mould risk the mean return period of a considered duration of favourable mould growth conditions is suggested.
As the strong earthquake motion, Level 2 earthquakes with a mean return period of approximately 500 years were generated using two sets of phase data.
The accidental snow load on the ground corresponding to a mean return period of 10,000 years is assessed by the best fitting distribution function.
The mean return period of these storm events was found to be about 30 years for the catastrophic events, 5 years for the extreme events, and 2 3 years for the severe events.
However, the most recent attempt to estimate a mean return period for Magnitude 8 events is one every 17,000 years, which puts a different slant on the future likelihood of a super-eruption occurring.
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The analyzed structures were designed for three levels of peak ground accelerations, corresponding to mean return periods of 100, 225, and 475 years.
Quantitative paleohydrological reconstruction by paleogeographical analogy calculates a wide range of paleohydrological and paleoclimatic parameters, such as maximum discharge and its return period; mean maximum discharge; mean annual discharge; volume of the floodwave; winter and annual precipitations.
Open image in new window Fig. 9 The random drift as a function of the deterministic drift targeted in each period Open image in new window Fig. 10 The volatility targeted as a function of the mean return targeted in each period.
A new map of 50 years return period mean wind speed is proposed.
Based on the best actual available knowledge of climate change models, the effect of climate change implies a change of −0.8% to +2.3% in the hourly mean wind speed with return period of 50 years, which is the basis of current building codes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com