Skip to main content Accessibility help
×
Hostname: page-component-84b7d79bbc-rnpqb Total loading time: 0 Render date: 2024-07-29T12:24:54.915Z Has data issue: false hasContentIssue false

12 - Short-Term and Long-Term Extremes

Published online by Cambridge University Press:  05 February 2013

Arvid Naess
Affiliation:
Norwegian University of Science and Technology, Trondheim
Torgeir Moan
Affiliation:
Norwegian University of Science and Technology, Trondheim
Get access

Summary

Introduction

For true probabilistic design of load-carrying members of offshore structures that have to withstand the effects of the environmental forces generated by wind, waves, and current, it would be necessary to provide a simultaneous probabilistic model of all three load-generating sources. As an alternative, a simplified conservative approach may be applied. According to NORSOK N-003 (2007), the 100-year environmental condition can be represented by the 100-year wave and mean wind speed, and the 10-year current.

In the following sections, the focus is on the three commonly used approaches for calculating characteristic values of extreme load effects due to wave forces for ULS design checks, viz.,

  • the design wave approach

  • the design sea state approach

  • the full long-term approach

Design Wave Approach

For the design of offshore structures where the load effects to be considered are primarily of a quasistatic nature, the extreme load effect for ULS design check can be estimated by the so-called 100-year wave approach. This is understood to mean a wave with a wave height H(100) being exceeded on the average only once every 100 years. Equivalently, H(100) can be interpreted as the wave height that is exceeded during a period of one year with a probability of 102, cf. Section 10.8.

Estimation of load effects according to this format would in practice proceed as follows. (1) The design wave height is established on the basis of available data relevant for the offshore location in question.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2012

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

  • Short-Term and Long-Term Extremes
  • Arvid Naess, Norwegian University of Science and Technology, Trondheim, Torgeir Moan, Norwegian University of Science and Technology, Trondheim
  • Book: Stochastic Dynamics of Marine Structures
  • Online publication: 05 February 2013
  • Chapter DOI: https://doi.org/10.1017/CBO9781139021364.013
Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • Short-Term and Long-Term Extremes
  • Arvid Naess, Norwegian University of Science and Technology, Trondheim, Torgeir Moan, Norwegian University of Science and Technology, Trondheim
  • Book: Stochastic Dynamics of Marine Structures
  • Online publication: 05 February 2013
  • Chapter DOI: https://doi.org/10.1017/CBO9781139021364.013
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Short-Term and Long-Term Extremes
  • Arvid Naess, Norwegian University of Science and Technology, Trondheim, Torgeir Moan, Norwegian University of Science and Technology, Trondheim
  • Book: Stochastic Dynamics of Marine Structures
  • Online publication: 05 February 2013
  • Chapter DOI: https://doi.org/10.1017/CBO9781139021364.013
Available formats
×