Search Results - "Naess, A"

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  1. 1

    Estimation of extreme values from sampled time series by Naess, A., Gaidai, O.

    Published in Structural safety (01-07-2009)
    “…The paper focuses on the development of a method for extreme value estimation based on sampled time series. It is limited to the case when the extreme values…”
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    Journal Article
  2. 2

    Monte Carlo Methods for Estimating the Extreme Response of Dynamical Systems by Naess, A, Gaidai, O

    Published in Journal of engineering mechanics (01-08-2008)
    “…The development of simple accurate, and efficient methods for estimation of the extreme response of dynamical systems subjected to random excitations is…”
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    Journal Article
  3. 3

    Extreme value statistics of wind speed data by the ACER method by Karpa, O., Naess, A.

    “…A novel method for estimating the extreme value statistics associated with a recorded time series of data is discussed in this paper. In particular, the focus…”
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    Journal Article
  4. 4
  5. 5

    Statistics of bivariate extreme wind speeds by the ACER method by Naess, A., Karpa, O.

    “…The paper focuses on the extension of the average conditional exceedance rate (ACER) method for estimation of extreme wind speed statistics to the case of…”
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    Journal Article
  6. 6

    Pendulum's rotational motion governed by a stochastic Mathieu equation by Yurchenko, D., Naess, A., Alevras, P.

    Published in Probabilistic engineering mechanics (01-01-2013)
    “…This paper considers rotational motion of a nonlinear Mathieu equation with a narrow-band stochastic excitation. The path integration technique is utilized to…”
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    Journal Article
  7. 7

    Rib fractures in trauma patients: does operative fixation improve outcome? by Majak, Peter, Næss, Pål A

    Published in Current opinion in critical care (01-12-2016)
    “…Renewed interest in surgical fixation of rib fractures has emerged. However, conservative treatment is still preferred at most surgical departments. We wanted…”
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    Journal Article
  8. 8

    Non-operative management and immune function after splenic injury by Skattum, J., Naess, P. A., Gaarder, C.

    Published in British journal of surgery (01-01-2012)
    “…Background: There is still considerable controversy about the importance and method of preserving splenic function after trauma. Recognition of the immune…”
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    Journal Article
  9. 9

    System reliability analysis by enhanced Monte Carlo simulation by Naess, A., Leira, B.J., Batsevych, O.

    Published in Structural safety (01-09-2009)
    “…The main focus of this paper is on the development of a Monte Carlo based method for estimating the reliability of structural systems. The use of Monte Carlo…”
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    Journal Article
  10. 10

    Monte–Carlo Based Method for Predicting Extreme Value Statistics of Uncertain Structures by Saha, Nilanjan, Naess, A

    Published in Journal of engineering mechanics (01-12-2010)
    “…In the present paper, a simple method is proposed for predicting the extreme response of uncertain structures subjected to stochastic excitation. Many of the…”
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    Journal Article
  11. 11

    Spleen and liver injuries: when to operate? by Gaarder, Christine, Gaski, Iver A, Næss, Pål A

    Published in Current opinion in critical care (01-12-2017)
    “…Although nonoperative management (NOM) is the safest option in most patients with liver and splenic injuries or splenic injuries, some cases still need…”
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    Journal Article
  12. 12

    Prediction of Extreme Response Statistics of Narrow-Band Random Vibrations by Naess, A, Gaidai, O, Batsevych, O

    Published in Journal of engineering mechanics (01-03-2010)
    “…The paper focuses on the development of a general method for extreme response estimation of dynamical systems subjected to random excitations. One of the most…”
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    Journal Article
  13. 13

    The fatigue limit: An analytical solution to a Monte Carlo problem by Cetin, A., Härkegård, G., Naess, A.

    Published in International journal of fatigue (01-10-2013)
    “…•Defects are modeled as the physical foundation for the fatigue limit.•A new physically based extreme value distribution.•A consistent approach in statistical…”
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    Journal Article
  14. 14

    Efficient estimation of extreme response of drag-dominated offshore structures by Monte Carlo simulation by Naess, A., Gaidai, O., Haver, S.

    Published in Ocean engineering (01-11-2007)
    “…The paper describes a novel approach to the problem of estimating the extreme response statistics of a drag-dominated offshore structure exhibiting a…”
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    Journal Article
  15. 15

    Reliability analysis of large structural systems by Naess, A., Leira, B.J., Batsevych, O.

    Published in Probabilistic engineering mechanics (01-04-2012)
    “…Brute force Monte Carlo simulation methods can, in principle, be used to calculate accurately the reliability of complicated structural systems, but the…”
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    Journal Article Conference Proceeding
  16. 16

    On the long-term response of marine structures by Sagrilo, L.V.S., Naess, A., Doria, A.S.

    Published in Applied ocean research (01-07-2011)
    “…This paper addresses some important issues related to the estimation of long-term extreme responses of marine structures. Several convolution models to…”
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    Journal Article
  17. 17

    Toward a proper statistical description of defects by Cetin, A., Naess, A.

    Published in International journal of fatigue (01-05-2012)
    “…► Proper statistical description is imperative in design against fatigue. ► The appropriateness of asymptotic extreme value theory is often questionable. ► The…”
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    Journal Article
  18. 18

    Random vibrations with strongly inelastic impacts: Response PDF by the path integration method by Dimentberg, M.F., Gaidai, O., Naess, A.

    “…This paper presents a study of SDOF stochastic vibroimpact problems using numerical path integration (PI). This is a challenging problem due to discontinuities…”
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    Journal Article
  19. 19

    A physically based extreme value characterization of material fatigue by Cetin, A., Naess, A., Härkegård, G.

    Published in International journal of fatigue (01-02-2013)
    “…► Proper statistical description is imperative in design against fatigue. ► A new physically based extreme value distribution. ► A consistent approach in…”
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    Journal Article
  20. 20

    Estimation of Extreme Values by the Average Conditional Exceedance Rate Method by Naess, A., Gaidai, O., Karpa, O.

    Published in Journal of probability and statistics (01-01-2013)
    “…This paper details a method for extreme value prediction on the basis of a sampled time series. The method is specifically designed to account for statistical…”
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    Journal Article