An approach of dynamic mesh adaptation for simulating 3‐dimensional unsteady moving‐immersed‐boundary flows

In this paper, we present an approach of dynamic mesh adaptation for simulating complex 3‐dimensional incompressible moving‐boundary flows by immersed boundary methods. Tetrahedral meshes are adapted by a hierarchical refining/coarsening algorithm. Regular refinement is accomplished by dividing 1 tetrahedron into 8 subcells, and irregular refinement is only for eliminating the hanging points. Merging the 8 subcells obtained by regular refinement, the mesh is coarsened. With hierarchical refining/coarsening, mesh adaptivity can be achieved by adjusting the mesh only 1 time for each adaptation period. The level difference between 2 neighboring cells never exceeds 1, and the geometrical quality of mesh does not degrade as the level of adaptive mesh increases. A predictor‐corrector scheme is introduced to eliminate the phase lag between adapted mesh and unsteady solution. The error caused by each solution transferring from the old mesh to the new adapted one is small because most of the nodes on the 2 meshes are coincident. An immersed boundary method named local domain‐free discretization is employed to solve the flow equations. Several numerical experiments have been conducted for 3‐dimensional incompressible moving‐boundary flows. By using the present approach, the number of mesh nodes is reduced greatly while the accuracy of solution can be preserved.     

OPTIMAL INVESTMENT IN THE PROTECTION OF A VULNERABLE BIOLOGICAL RESOURCE

It is assumed that the probability of destruction of a biological asset by natural hazards can be reduced through investment in protection. Specifically a model, in which the hazard rate depends on both the age of the asset and the accumulated invested protection capital, is assumed. The protection capital depreciates through time and its effectiveness in reducing the hazard rate is subject to diminishing returns. It is shown how the investment schedule to maximize the expected net present value of the asset can be determined using the methods of deterministic optimal control, with the survival probability regarded as a state variable. The optimal investment pattern involves “bang-bang-singular” control. A numerical scheme for determining jointly the optimal investment policy and the optimal harvest (or replacement) age is outlined and a numerical example involving forest fire protection is given.     

基于CCD图像的火灾空间定位方法

大空间中火源的空间位置的定位,一直是火灾自动探测与自动扑救中的难点。研究了一种利用单一CCD摄像头进行火灾自动空间定位的方法。根据计算机视觉原理,利用固定在自动消防水炮末端的CCD摄像头随水炮旋转扫描时的角度、位移变化,将CCD摄像头在不同位置所拍摄的图像中火源图像坐标和火源的空间坐标建立联系,从而实现了火源空间位置的自动定位。     

铁基添加剂增强细水雾灭火性能的实验研究

采用实验模拟的方法,研究了添加氯化亚铁的细水雾在不同添加剂浓度、不同喷头压力下,熄灭不同性质的液体池火的性能。实验结果表明:添加有氯化亚铁的细水雾,其灭火性能发生了显著变化。存在一个最佳的灭火浓度,其对应的灭火时间最短,耗水量最少,灭火效率最高。细水雾喷头的工作压力和燃料的性质也对细水雾的灭火性能有影响:工作压力越大,细水雾的平均灭火时间越短。在相同的实验条件下,细水雾扑灭煤油池火的时间要短于扑灭酒精池火的时间。     

极低硫钢的精炼脱硫动力学模型

通过对影响脱硫反应限制性环节的分析,将持续接触和瞬时接触两种反应模式综合考虑,建立了精炼脱硫动力学模型,并通过实验室"极低硫钢精炼脱硫"实验数据对模型进行验证.结果表明,本模型的预测结果与实验结果比较吻合.     

化学分析在火灾原因技术鉴定中的应用

采用化学分析方法对火灾现场中的微量油品、特殊物质和混凝土等痕迹物证的化学分析鉴定,对火灾原因和火灾责任的认定起关键作用.     

DNA聚合酶链反应鉴测梨树火疫病

对细菌Ｅ．ａｍｙｌｏｖｏｒａ，Ｅ．ｈｅｒｂｉｃｏｌａ和Ｐｓｅｕｄｏｍｏｎａｓｓｙｒｉｎｇａｅ的ＤＮＡ提纯，并通过聚合酶链反应，发现引物Ｂ＿５等可用以有效地鉴别Ｅ．ａｍｙｌｏｖｏｒａ．对Ｅ．ａｍｙｌｏｖｏｒａ细胞培养液直接稀释，加清洁剂处理后进行聚合酶链反应（ＰＣＲ）．据引物Ｂ＿５测定，得到清晰而强烈的相同的ＤＮＡ分子电泳光带，可有效反应测定５００个细菌细胞；用引物Ｂ＿５和Ｂ＿６进一步测定细菌Ｅ．ａｍｙｌｏｖｏｒａ。Ｅ．ｈｅｒｂｉｃｏｌａ和Ｐ．ｓｙｒｉｎｇａｅ，从Ｅ．ｈｅｒｂｉｃｏｄａ反应获得一个电泳光谱，从Ｐ．ｓｙｒｉｎｇａｅ获得３个泳谱；用引物Ｂ＿５和Ｂ＿７与细菌Ｅ．ａｍｙｌｏｖｏｒａ和Ｐ．ｓｙｒｉｎｇａｅ反应，从Ｅ．Ｅ．ａｍｙｌｏｖｏｒａ得到两条相同光带，从Ｐ．ｓｙｒｉｎｇａｅ反应获得了相似的带谱分布。     

感应加热钢包炉电磁与结构优化

感应加热钢包炉是国外新发展的一种二次精炼及加热设备，具有高效、低能耗、无污染的特点，本文在感应加热钢包炉电磁与结构分析工作的基础上，用电磁场数值模拟方法对感应加热钢包炉的电磁设计和包壳结构进行优化。     

Fire Retardant Textiles: A Particular Reference to China and Kenya

ＴｅｘｔｉｌｅａｎｄＵｎｃｏｎｔｒｏｌｌｅｄＦｉｒｅｓ　　Ｔｅｘｔｉｌｅｓａｒｅｔｈｅｔｈｉｒｄｂａｓｉｃｒｅｑｕｉｒｅｍｅｎｔｆｏｒｈｕｍａｎｌｉｆｅａｆｔｅｒｆｏｏｄａｎｄｓｈｅｌｔｅｒ.Ｔｅｘｔｉｌｅｓａｒｅｕｓｅｄｆｏｒｔｈｅｒｍａｌｐｒｏｔｅｃｔｉｏｎａｇａｉｎｓｔｈｏｓｔｉｌｅｗｅａｔｈｅｒａｎｄｔｏｃｏｖｅｒｎａｋｅｄｎｅｓｓ.Ｔｅｘｔｉｌｅｓａｌｓｏｐｒｏｖｉｄｅｃｏｍ ｆｏｒｔｉｎｌｉｆｅｉｎｔｈｅｆｏｒｍｏｆｆｕｒｎｉｓｈｉｎｇｓ :ｕｐｈｏｌｓｔｅｒｙ ,ｃａｒｐｅｔｓ ,ｅｔｃ .…