The GMRES approach is used to solve complex matrix solution arising from boundary element analysis of large offshore structures. This makes it possible to solve problems with large numbers of panels on a workstation with a much smaller memory than typical high performance computers. The speed of the solver is compatible with direct solvers when the enough RAM is available. Otherwise, an iteration procedure can be used. By using an out-of-core treatment, typical RAM requirement is reduced to a size approximately linearly proportional to the panel number n instead of being proportional to n2. The code is first verified with direct solver for cases with small number of panels. The applicability to large offshore structure of the model is demonstrated for a TLP case. 相似文献
In various regions along the east and southeast coast of China and on the outer shelf of the East China Sea, series of cheniers have been found and studied. Their geomorphological and sedimentological features have been described and the main conditions for their formation established.
The development of cheniers in China can be divided into three periods: 24,000-15,000 yrs B.P., 7000-5000 yrs B.P. and 5000 yrs B.P. onwards. These periods have been based on 14C datings of 80 shell samples. The chenier groups of the three periods are distributed throughout various geomorphological locations.
Using the geomorphological locations of the cheniers in combination with their age of formation, the palaeopositions of the Chinese coastline in the various periods since 24,000 yrs B.P. are described. The history of the position of the east coast of China, including the features attesting to sealevel changes during this era, is briefly discussed. 相似文献
Daily Arctic sea-ice motion maps during the winter seasons (December–March) from December 1988 to March 2003 derived from
NSCAT, QuikSCAT, SSM/I, and AMSRE data by a wavelet analysis method have been merged with those derived from buoy data. These
merged sea-ice motion data have been used to study the circulation regimes and winter-to-winter variability of Arctic sea-ice
motion. The relation between sea-ice motion and the pressure field in the Arctic Ocean was also studied by applying Principal
Component Analysis (PCA) to the monthly merged sea-ice motion data and the monthly pressure field data from IABP. The mean
Arctic sea-ice motion map of the 15 winter seasons has two distinct features: the Beaufort Gyre and a cyclonic circulation
system in the Eurasian Basin, which moves ice from the Laptev Sea to Fram Strait. The strengths and sizes of the two features
change from one winter season to another. Seasons with a strong or normal Beaufort Gyre alternate with seasons with a weak
or no Beaufort Gyre every one to three seasons. The principal components of the first two modes of PCA of the monthly sea-ice
motion are closely correlated with their counterparts of the monthly pressure field in the Arctic Ocean. The mode-one components
of these two anomalies alternate between anticyclonic and cyclonic circulation systems. The correlation between Arctic Oscillation
indexes and the principal components of the first mode of PCA of the monthly Arctic sea-ice motion is low but statistically
significant. 相似文献