11 research outputs found

    Numerical study of supersonic combustion of ethylene

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    利用Fluent软件、ISAT算法与由CARM(Computer Assisted Reduction Method)简化而来的11组分、7步反应的乙烯简化机理对碳氢燃料/空气的超声速燃烧问题进行数值模拟.研究结果表明这种方法是可利用的.计算得到的压力数据与试验压力值可以比较

    乙烯超声速燃烧的数值模拟研究

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    利用F1uent软件、ISAT算法与由CARM(Computer Assisted Reduction Method)简化而来的11组分、7步反应的乙烯简化机理对碳氢燃料/空气的超声速燃烧问题进行数值模拟。研究结果表明这种方法是可利用的。计算得到的压力数据与试验压力值可以比较

    青岛近岸沉积物中持久性有机污染物多氯萘和多溴联苯醚

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    Production and application of “nurse typhoon disaster rescue” knowledge manual

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    [目的]编写《护士台风灾害救护知识手册》并探讨其应用效果。[方法]以布卢姆教育目标学理论为依据,结合台风救护训练经验,组织专家规范台风灾害救护知识培训内容,并制订详细教学计划,对140名护士进行培训。[结果]护士参加学习后对台风灾害救援的认知及情感测试得分明显高于学习前(P<0.01),参加学习后的护士止血、包扎、固定、转运、心肺复苏术等技术考核一次通过率均超过90%。[结论]采用《护士台风灾害救护知识手册》对护士进行科学规范的培训可提高护士应对台风灾害的救护水平。南京军区医学科技创新经费资助项目,编号:12MA06

    A Method for Constructing Underwater Topography in Coastal Zones While Accounting for Spatial Anisotropy: The Case of the Yellow River Delta

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    Bathymetric points are the main data source for obtaining high-quality underwater Digital Elevation Models (DEMs). The low density of bathymetric points in coastal zones can lead to low underwater DEM accuracy. To address this problem, we propose a multiparameter collaborative optimization algorithm for point densification that considers spatial anisotropy. First, the particle swarm optimization was employed to collaboratively optimize the four parameters affecting the computational accuracy to achieve the overall tuning and determine the optimal solutions of the four parameters. Subsequently, the four determined parameters were applied to the inverse distance weighting method to obtain in the global sense the optimal value of the complementary point depth. Finally, the proposed densification method was validated using four common interpolation methods in geosciences and bathymetric data from the coastal zone of the Yellow River Delta from 1992, 2007, and 2015. The experimental results showed that this method significantly improves the interpolation accuracy of the processed data, reducing both the absolute and relative errors by 12%. This method overcomes the problem of large interpolation errors caused by the density of bathymetric points and allows for a more accurate underwater topography reconstruction
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