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Arvid Naess

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Naess, Arvid / Bo, Harald Svandal (2018): Reliability of Technical Systems Estimated by Enhanced Monte Carlo Simulation. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 4, n. 1 (März 2018).

    https://doi.org/10.1061/ajrua6.0000937

  2. Chai, Wei / Leira, Bernt J. / Naess, Arvid / Høyland, Knut / Ehlers, Sören (2020): 'Development of environmental contours for first-year ice ridge statistics. In: Structural Safety, v. 87 (November 2020).

    https://doi.org/10.1016/j.strusafe.2020.101996

  3. Naess, Arvid (1987): Bounding Approximations to Some Quadratic Limit States. In: Journal of Engineering Mechanics (ASCE), v. 113, n. 10 (Oktober 1987).

    https://doi.org/10.1061/(asce)0733-9399(1987)113:10(1474)

  4. Naess, Arvid / Yim, Solomon C. S. (1996): Stochastic Response of Offshore Structures Excited by Drag Forces. In: Journal of Engineering Mechanics (ASCE), v. 122, n. 5 (Mai 1996).

    https://doi.org/10.1061/(asce)0733-9399(1996)122:5(442)

  5. Yuk, Dongjun / Yim, Solomon C. / Naess, Arvid / Shih, I-Ming (2007): Global and Local Nonlinear System Responses under Narrowband Random Excitations. II: Prediction, Simulation, and Comparison. In: Journal of Engineering Mechanics (ASCE), v. 133, n. 1 (Januar 2007).

    https://doi.org/10.1061/(asce)0733-9399(2007)133:1(30)

  6. Yim, Solomon C. / Yuk, Dongjun / Naess, Arvid / Shih, I-Ming (2007): Global and Local Nonlinear System Responses under Narrowband Random Excitations. I: Semianalytical Method. In: Journal of Engineering Mechanics (ASCE), v. 133, n. 1 (Januar 2007).

    https://doi.org/10.1061/(asce)0733-9399(2007)133:1(22)

  7. Gaidai, Oleg / Naess, Arvid / Xu, Xiaosen / Cheng, Yong (2019): Improving extreme wind speed prediction based on a short data sample, using a highly correlated long data sample. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 188 (Mai 2019).

    https://doi.org/10.1016/j.jweia.2019.02.021

  8. Cantero, Daniel / Rønnquist, Anders / Naess, Arvid (2016): Parametric Excitation of Mooring Cables for Submerged Floating Tunnels. Vorgetragen bei: IABSE Conference: Bridges and Structures Sustainability - Seeking Intelligent Solutions, Guangzhou, China, 8-11 May 2016.

    https://doi.org/10.2749/222137816819259356

  9. Faridafshin, Farzad / Naess, Arvid (2017): Multivariate log-concave probability density class for structural reliability applications. In: Structural Safety, v. 69 (November 2017).

    https://doi.org/10.1016/j.strusafe.2017.07.003

  10. Faridafshin, Farzad / Grechuk, Bogdan / Naess, Arvid (2017): Calculating exceedance probabilities using a distributionally robust method. In: Structural Safety, v. 67 (Juli 2017).

    https://doi.org/10.1016/j.strusafe.2017.02.003

  11. Naess, Arvid (1985): Combined wind, wave and current forces — extreme value analysis of a simplified model. In: Engineering Structures, v. 7, n. 2 (April 1985).

    https://doi.org/10.1016/0141-0296(85)90020-3

  12. Gaidai, Oleg / Storhaug, Gaute / Naess, Arvid (2018): Statistics of extreme hydroelastic response for large ships. In: Marine Structures, v. 61 (September 2018).

    https://doi.org/10.1016/j.marstruc.2018.05.004

  13. Xu, Yuwang / Øiseth, Ole / Naess, Arvid / Moan, Torgeir (2017): Prediction of long-term extreme load effects due to wind for cable-supported bridges using time-domain simulations. In: Engineering Structures, v. 148 (Oktober 2017).

    https://doi.org/10.1016/j.engstruct.2017.06.051

  14. Xu, Yuwang / Øiseth, Ole / Moan, Torgeir / Naess, Arvid (2018): Prediction of long-term extreme load effects due to wave and wind actions for cable-supported bridges with floating pylons. In: Engineering Structures, v. 172 (Oktober 2018).

    https://doi.org/10.1016/j.engstruct.2018.06.023

  15. Hui, Gao / Gaidai, Oleg / Naess, Arvid / Storhaug, Gaute / Xu, Xiaosen (2019): Improving container ship panel stress prediction, based on another highly correlated panel stress measurement. In: Marine Structures, v. 64 (März 2019).

    https://doi.org/10.1016/j.marstruc.2018.11.007

  16. Maes, Marc A. / Naess, Arvid (2013): Sequential selection of an optimal operating window. In: Civil Engineering and Environmental Systems, v. 30, n. 2 ( 2013).

    https://doi.org/10.1080/10286608.2012.716425

  17. Cantero, Daniel / Rønnquist, Anders / Naess, Arvid (2016): Study of tension in mooring cables under parametric excitation for submerged floating tunnels. Vorgetragen bei: IABSE Congress: Challenges in Design and Construction of an Innovative and Sustainable Built Environment, Stockholm, Sweden, 21-23 September 2016.

    https://doi.org/10.2749/stockholm.2016.1880

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