A new approach for predicting the extreme response of structures

Ulla E.B. Machado

Research output: Contribution to journalArticlepeer-review

5 Citations (SciVal)


In this article a method to estimate the mean upcrossing intensity, mu(u), of a stochastic process is proposed. It is assumed that the stochastic process is a sum of a Gaussian process and a second-order correction term. The method is based on the two-dimensional Saddlepoint approximation. The accuracy of the method is tested on processes having analytical solutions for mu(u). Numerical examples are given where the stochastic process represents (i) the horizontal response of a floating offshore structure in a Gaussian sea, and (ii) the response of a structure subjected to a Gaussian wind velocity process. In addition, the estimates are compared to empirical upcrossing intensities of simulated responses. For case (ii), the obtained mu(u) estimates are compared to estimates obtained by numerical integration. (C) 2003 Elsevier Science Ltd. All rights reserved.
Original languageEnglish
Pages (from-to)321-330
JournalApplied Ocean Research
Issue number6
Publication statusPublished - 2002

Subject classification (UKÄ)

  • Probability Theory and Statistics


  • slow-drift
  • saddlepoint approximation
  • mean upcrossing intensity
  • approximation


Dive into the research topics of 'A new approach for predicting the extreme response of structures'. Together they form a unique fingerprint.

Cite this