The most reliable technique for predicting the statistical properties of the response of an offshore structure to random wave loading is the time simulation technique. However, this technique requires very long simulations in order to reduce the sampling variability to acceptable levels. If this technique can be speeded up, then it would be an ideal technique because it does not suffer from any of the inadequacies of the alternative methods and is applicable to all different types of structures. To this end, a more efficient version of the time simulation technique (ETS) has been introduced which divides the simulated response extreme values into a number of groups based on the magnitude of the extreme values of their associated surface elevation or linear response records. The probability distribution of extreme responses for each group is then calculated individually based on a relatively small number of simulations. Finally, the total probability theorem is used to derive the probability distribution of response extreme values. The ETS procedure is found to be many times more efficient than the conventional method.
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The most reliable technique for predicting the statistical properties of the response of an offshore structure to random wave loading is the time simulation technique. However, this technique requires very long simulations in order to reduce the sampling variability to acceptable levels. If this technique can be speeded up, then it would be an ideal technique because it does not suffer from any of the inadequacies of the alternative methods and is applicable to all different types of structures. To this end, a more efficient version of the time simulation technique (ETS) has been introduced which divides the simulated response extreme values into a number of groups based on the magnitude of the extreme values of their associated surface elevation or linear response records. The probability distribution of extreme responses for each group is then calculated individually based on a relatively small number of simulations. Finally, the total probability theorem is used to derive the probability distribution of response extreme values. The ETS procedure is found to be many times more efficient than the conventional method.
Dr Mohd Khairi received the MEng and PhD degrees from University of Liverpool, UK in 2007 and 2011, respectively. He is currently a Senior Lecturer at the Universiti Teknologi Malaysia. His research interests cover the reliability and risk assessment of offshore structure and wave processes. He is a member of the Board of Engineers Malaysia.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. Prediction of Extreme Offshore Structural Response | An Efficient Time Simulation Approach | Mohd Khairi Abu Husain (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783843375467 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 113196214
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The most reliable technique for predicting the statistical properties of the response of an offshore structure to random wave loading is the time simulation technique. However, this technique requires very long simulations in order to reduce the sampling variability to acceptable levels. If this technique can be speeded up, then it would be an ideal technique because it does not suffer from any of the inadequacies of the alternative methods and is applicable to all different types of structures. To this end, a more efficient version of the time simulation technique (ETS) has been introduced which divides the simulated response extreme values into a number of groups based on the magnitude of the extreme values of their associated surface elevation or linear response records. The probability distribution of extreme responses for each group is then calculated individually based on a relatively small number of simulations. Finally, the total probability theorem is used to derive the probability distribution of response extreme values. The ETS procedure is found to be many times more efficient than the conventional method. N° de réf. du vendeur 9783843375467
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