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11.
为提高耐压柱壳设计效率,设计了耐压柱壳参数化分析流程。研究了有限元分析所涉及的材料属性、载荷施加、边界条件设置等内容,确定了采用弧长法分析耐压柱壳稳定性。利用Python语言对于ABAQUS软件进行了二次开发,利用Isight软件实现了ABAQUS的集成,实现了耐压柱壳有限元分析模型的网格自动划分、自动分析计算等。选择样本点进行参数化分析,利用响应面模型对于样本点进行了拟合,得到了具有较高拟合精度、满足工程需要的近似模型,进行了设计变量的灵敏度分析。研究结果表明:参数化分析流程可实现耐压柱壳的自动分析、近似模型及灵敏度分析,可降低耐压柱壳分析难度,均可提高耐压柱壳设计效率。 相似文献
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大气红外窗区(10.5-11.5μm和11.5-12.5μm)辐射传输的敏感性试验 总被引:1,自引:0,他引:1
大气窗区卫星红外遥感的辐射资料可应用于地表温度的确定,但必须考虑大气影响。为此,本文利用辐射传输模式和中纬度及青藏高原模式大气,用数值模拟的方法研究了大气和地表状态(大气温、湿廓线、地表温度与高度)的改变对大气顶红外窗区射出辐射的影响以及射出辐射对发射方向(天顶角)依赖关系。主要结论见正文小结。 相似文献
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本文利用线弹性理论的二维有限元方法,计算了马17井的区域应力及井区平面与剖面的应力状态,研究该井映震灵敏的应力条件。计算结果表明井区在华北地区中强以上地震活动时具有一定的应力集中 相似文献
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应用考虑震级不确定笥和资料完整性估计地震危险性参数的极大似然法,分别采用1940年和1070年至1993年完整的地震资料,计算了汾渭地震带及陕南地区的地震危险性参数。结果表明:利用近几十年来的完整地震资料结合研究区历史上发生的最大地震,可以得到较为可靠的地震危险性参数;参数敏感性分析表明,完整震级不确定性对β的影响较小;随震级不确定性的增大地震年发生率减小;在资料完整的前提下,震级下限在一定范围内 相似文献
16.
Peter Malik 《Environmental Geology》2007,51(5):707-711
Hydrograph analyses of groundwater depletion process in the spring were used for estimation of karstification degree and groundwater
sensitivity to pollution in the whole catchment area. Differences of individual depletion hydrographs enable assessment of
the anticipated extent of absorption, attenuation and self-purification processes during the groundwater penetration through
the rock environment between its infiltration and its outflow in the spring. The method was applied in the SW part of the
Velka Fatra Mountains (Slovakia) “Tlsta” hydrogeological structure. In total, 209 individual recession curves from 20 gauged
springs were analyzed. Depending on characteristic groundwater depletion hydrographs with independent sub-regimes, categories
of groundwater sensitivity to pollution were defined. Finally, resulting sensitivities to pollution were linked to lithostratigraphical
units in the area. 相似文献
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Influence of uncertain boundary conditions and model structure on flood inundation predictions 总被引:2,自引:0,他引:2
Florian Pappenberger Patrick Matgen Keith J. Beven Jean-Baptiste Henry Laurent Pfister Paul Fraipont de 《Advances in water resources》2006
In this study, the GLUE methodology is applied to establish the sensitivity of flood inundation predictions to uncertainty of the upstream boundary condition and bridges within the modelled region. An understanding of such uncertainties is essential to improve flood forecasting and floodplain mapping. The model has been evaluated on a large data set. This paper shows uncertainty of the upstream boundary can have significant impact on the model results, exceeding the importance of model parameter uncertainty in some areas. However, this depends on the hydraulic conditions in the reach e.g. internal boundary conditions and, for example, the amount of backwater within the modelled region. The type of bridge implementation can have local effects, which is strongly influenced by the bridge geometry (in this case the area of the culvert). However, the type of bridge will not merely influence the model performance within the region of the structure, but also other evaluation criteria such as the travel time. This also highlights the difficulties in establishing which parameters have to be more closely examined in order to achieve better fits. In this study no parameter set or model implementation that fulfils all evaluation criteria could be established. We propose four different approaches to this problem: closer investigation of anomalies; introduction of local parameters; increasing the size of acceptable error bounds; and resorting to local model evaluation. Moreover, we show that it can be advantageous to decouple the classification into behavioural and non-behavioural model data/parameter sets from the calculation of uncertainty bounds. 相似文献
20.
M. J. Best C. S. B. Grimmond Maria Gabriella Villani 《Boundary-Layer Meteorology》2006,118(3):503-525
The UK Met Office has introduced a new scheme for its urban tile in MOSES 2.2 (Met Office Surface Exchange Scheme version 2.2), which is currently implemented within the operational Met Office weather forecasting model. Here, the performance of the urban tile is evaluated in two urban areas: the historic core of downtown Mexico City and a light industrial site in Vancouver, Canada. The sites differ in terms of building structures and mean building heights. In both cases vegetation cover is less than 5%. The evaluation is based on surface energy balance flux measurements conducted at approximately the blending height, which is the location where the surface scheme passes flux data into the atmospheric model. At both sites, MOSES 2.2 correctly simulates the net radiation, but there are discrepancies in the partitioning of turbulent and storage heat fluxes between predicted and observed values. Of the turbulent fluxes, latent heat fluxes were underpredicted by about one order of magnitude. Multiple model runs revealed MOSES 2.2 to be sensitive to changes in the canopy heat storage and in the ratio between the aerodynamic roughness length and that for heat transfer (temperature). Model performance was optimum with heat capacity values smaller than those generally considered for these sites. The results suggest that the current scheme is probably too simple, and that improvements may be obtained by increasing the complexity of the model. 相似文献