Required test durations for converged short-term wave and impact extreme value statistics–Part 2: Deck box dataset |
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| Institution: | 1. School of AI Convergence, Sungshin Women''s University, 2, Bomun-Ro 34da-gil, Seongbuk-Gu, Seoul, 02844, Republic of Korea;2. Department of Naval Architecture and Ocean Engineering, Seoul National University, 599 Gwanak-Ro, Gwanak-Gu, Seoul, 08826, Republic of Korea;1. State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China;2. School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China;1. School of Civil Engineering, Hunan University of Technology, Zhuzhou, Hunan, 412007, China;2. Key Laboratory of Safety Control of Bridge Engineering, Ministry of Education (Changsha University of Science and Technology), Changsha, Hunan, 410114, China;3. China Institute of Water Resources and Hydropower Research, Beijing, 100038, China;1. School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, 510640, PR China;2. Guangzhou Jishi Construction Group Co. Ltd, Guangzhou, 510115, PR China;3. Department of Civil Engineering, Foshan University, Foshan, 528000, PR China;4. State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou, 510640, PR China;1. Shandong Province Key Laboratory of Ocean Engineering, Ocean University of China, Qingdao, 266100, China;2. Henan Key Laboratory of Underwater Intelligent Equipment, CSIC, 713, Zhengzhou, 450015, China;1. Applied Mechanics Group (GMAP), Federal University of Rio Grande do Sul (UFRGS), Sarmento Leite 425, Porto Alegre, Brazil;2. Physical Metallurgy Laboratory (LAMEF), Federal University of Rio Grande do Sul (UFRGS), Av. Bento Goncalves, 9500, prédio 43820, Porto Alegre, Brazil;3. Equinor ASA, Equinor. Arkitekt Ebbells veg 10, Trondheim, 7053 Ranheim, Norway |
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| Abstract: | In the assessment of wave-in-deck loads for new and existing maritime structures typically model tests are carried out. To determine the most critical conditions and measure sufficient impact loads, a range of sea states and various seeds (realisations) for each sea state are tested. Based on these measurements, probability distributions can be derived and design loads determined. In air gap model testing usually only few, if any, impact loads occur per 3-hour seed. This can make it challenging to derive reliable probability distributions of the measured loads, especially when only a few seeds are generated. In addition wave impact forces, such as greenwater loading, slamming, or air gap impacts are typically strongly non-linear, resulting in a large variability of the measured loads. This results in the following questions: How many impacts are needed to derive a reliable distribution? How is the repeatability of individual events affecting the overall distribution? To answer these questions wave-in-deck model tests were carried out in 100 x 3-hour realisations of a 10,000 year North Sea sea state. The resulting probability distributions of the undisturbed wave measurements as well as the measured wave-in-deck loads are presented in this paper with focus on deriving the number of seeds and exposure durations required for a reliable estimate of design loads.The presented study is Part 2 of a combined study on guidance for the convergence and variability of wave crests and impact loading extreme values. The data set of Part 1 (1]) is based on greenwater loads on a sailing ferry and the data set of Part 2 on wave-in-deck loads on a stationary deck box. |
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| Keywords: | Convergence Waves Offshore structure response Wave impact loads Extreme value statistics Test duration Short-term variability Seed variations Experiments Wave-in-deck Deck box |
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