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Stress verification of a TLP under extreme wave environment
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作者 闫发锁 张大刚 +1 位作者 孙丽萍 戴仰山 《Journal of Marine Science and Application》 2009年第2期132-136,共5页
Stress response of a tension leg platform (TLP) in extreme environments was investigated in this paper. A location on one of the gussets was selected as the object point, where directional stresses were numerically ... Stress response of a tension leg platform (TLP) in extreme environments was investigated in this paper. A location on one of the gussets was selected as the object point, where directional stresses were numerically simulated and also experimentally verified by a strain gage. Environmental loading and the platform's structural strength were analyzed in accordance with industrial standards, utilizing linear wave theory and the finite element method (FEM). The fast Fourier transform technique was used to calculate the stress response amplitude operators (RAO) from the records of measurements. A comparison was performed between the stress RAO of the numerical simulation and that of the actual measurements. The results indicated that the stress RAO of the numerical simulation fitted well with measured data at specified wave headings with different periods. 展开更多
关键词 TLP stress RAO extreme environment numerical simulation monitoring measurement
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如何应用平均指标进行统计分析
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作者 江珅 荣垂新 《统计与咨询》 2004年第3期31-31,共1页
应用平均指标进行统计分析,可以对经济发展规律做出科学的分析、预测,由表及里、由现象到本质的揭示经济发展的内在规律及存在的问题,在认识社会经济现象总体数量特征方面有着重要应用.但利用平均指标进行统计分析,有它狭隘的一面,应注... 应用平均指标进行统计分析,可以对经济发展规律做出科学的分析、预测,由表及里、由现象到本质的揭示经济发展的内在规律及存在的问题,在认识社会经济现象总体数量特征方面有着重要应用.但利用平均指标进行统计分析,有它狭隘的一面,应注意以下问题. 展开更多
关键词 平均指标 统计工作 极端数值 核算方法
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A contribution to large deviations for heavy-tailed random sums 被引量:27
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作者 苏淳 唐启鹤 江涛 《Science China Mathematics》 SCIE 2001年第4期438-444,共7页
In this paper we consider the large deviations for random sums $S(t) = \sum _{i = t}^{N(t)} X_i ,t \geqslant 0$ , whereX n,n?1 are independent, identically distributed and non-negative random variables with a common h... In this paper we consider the large deviations for random sums $S(t) = \sum _{i = t}^{N(t)} X_i ,t \geqslant 0$ , whereX n,n?1 are independent, identically distributed and non-negative random variables with a common heavy-tailed distribution function F, andN(t), t?0 is a process of non-negative integer-valued random variables, independent ofX n,n?1. Under the assumption that the tail of F is of Pareto’s type (regularly or extended regularly varying), we investigate what reasonable condition can be given onN(t), t?0 under which precise large deviation for S( t) holds. In particular, the condition we obtain is satisfied for renewal counting processes. 展开更多
关键词 (extended) regular variation extreme value theory large deviations renewal counting process renewal risk model subexponential distributions
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