海底双层管单层连接管道结构受力分析

粘性高的海洋石油通常需要通过海底保温管道加温输送.温度变化会引起管道变形,并在管壁内产生较大的温度应力.同时,管道正常运营期间还受到管道内压、外压、管内流体粘滞力和土体摩擦力等环境荷载的作用.复杂的环境可能导致海底管道轴向应力过大发生破坏.为了提高铺管效率,提出了双层管单层连接管道这一特殊管道形式,并从理论上分析温度变化和环境荷载对该管道的影响,计算正常运行时管道不同位置处横截面内最大Von-Mises应力.最后得到了Von-Mises应力沿管道轴线分布情况,发现内管和单层连接管的应力一般比外管大,变径管和内管的焊缝处是Von-Mises应力最大的地方.     

Model Test Study on Ice-Induced Vibrations of Compliant Multi-Cone Structures

For the study on the ice-induced vibration of a compliant mono-cone structure,a series of model tests were performed from 2004 to 2006.In these tests,the ice sheet before the compliant conical structure was found to be failed in two-time breaking.Based on this important finding,model tests study of the ice force on a compliant multi-cone structure were performed from 2006 to 2007.in these tests,the ice sheet broke before each single cone non-simultaneously.The exciting energy of the total ice force was found to be in a wide range of frequencies,and the structure can be easily excited with nonlinear resonance.     

Extending self-organizing maps for supervised classification of remotely sensed data

An extended self-organizing map for supervised classification is proposed in this paper. Unlike other traditional SOMs, the model has an input layer, a Kohonen layer, and an output layer. The number of neurons in the input layer depends on the dimensionality of input patterns. The number of neurons in the output layer equals the number of the desired classes. The number of neurons in the Kohonen layer may be a few to several thousands, which depends on the complexity of classification problems and the classification precision. Each training sample is expressed by a pair of vectors ： an input vector and a class codebook vector. When a training sample is input into the model, Kohonen＇s competitive learning rule is applied to selecting the winning neuron from the Kohouen layer and the weight coefficients connecting all the neurons in the input layer with both the winning neuron and its neighbors in the Kohonen layer are modified to be closer to the input vector, and those connecting all the neurons around the winning neuron within a certain diameter in the Kohonen layer with all the neurons in the output layer are adjusted to be closer to the class codebook vector. If the number of training sam- ples is sufficiently large and the learning epochs iterate enough times, the model will be able to serve as a supervised classifier. The model has been tentatively applied to the supervised classification of multispectral remotely sensed data. The author compared the performances of the extended SOM and BPN in remotely sensed data classification. The investigation manifests that the extended SOM is feasible for supervised classification.     

复合加载条件下吸力式沉箱基础承载特性数值分析

吸力式沉箱基础的承载特性是海洋工程结构设施建造与设计中的一个关键问题。这种新型的深水海洋基础型式,通常承受竖向上拔荷载与水平荷载的共同作用,其工作性能与设计理论远远不能满足工程实践的需要。本文采用有限元分析方法对吸力式沉箱基础的极限承载特性进行数值计算。以大型通用有限元分析软件ABAQUS为平台,通过二次开发,数值实现了Swipe试验加载方法和固定位移比分析方法,针对不同的沉箱长径比、土的强度折减系数,探讨了沉箱基础在垂直上拔荷载和水平荷载单调联合作用下的极限承载力,通过对不同荷载组合的数值计算构造了复合加载条件下沉箱基础破坏包络面。     

枯竭型油气藏储气库射孔完井技术

枯竭型油气藏储气库一般采用套管射孔完井方式,注、采气需要“缓进大出”,要求储层与井筒良好沟通.针对枯竭型油气藏储气库射孔完井工艺复杂、要求高、地层保护难度大等特点,阐述了射孔方式及工艺优选、射孔参数优化、射孔压实带改造技术、多级负压起爆技术等内容.该项射孔完井技术在中石化文96储气库13口井成功应用,取得了良好的效果.     

贻贝粉酶解液提取复合氨基酸

报道了以脱脂后的贻贝粉为原料，采用酶解法从其酶解液中分离提取复合氨基酸的工艺。其收率为２０％，纯度约为９０％。其中必需氨基酸（不计色氨酸）约占复合氨基酸总量的５５％，其氨基酸模式与ＦＡＯ／ＷＨＯ组织确定的模式及人乳模式进行了对照，通过适量添加个别氨基酸可使其配比接近人乳模式。     

一种使用(ε,δ)连接区域分割图象的新算法

图象中目标具有相似灰度特征,在分割中,我们应考虑区域的整体灰度以及相邻象素灰度的变化,它们依靠于范围参数ε和毗邻参数δ。本文介绍了灰度图象的（ε,δ）连续区域及其模糊边缘测度,提出了通过相对模糊边缘度调整（ε,δ）参数,利用（ε,δ）目标连接集分割图象的一种新算法。实验结果表明该算法分割效果较好,提取边缘精度较高。     

S-101电子航海图产品规范1.0.0版要点解析

S-101是基于S-100建立的新一代电子海图产品规范,相比于S-57自身的封闭性、复杂性,S-101设计上更加灵活,易于更新,将对新一代ENC数据生产及ECDIS发展产生深远影响.在查阅S-101最新1.0.0版及S-100、S-101相关研究文章的基础上,将S-101与S-57、S-101开发过程中的草案进行对比分...     

海水中液-固界面的台阶型动力学曲线 Ⅱ.液膜扩散-递进扩散-界面分级交换反应联合控制的复合模型理论

为定量解释海水中液-固界面的台阶型动力学曲线及其台阶的消长变化规律,在我们已提出的“液膜扩散和递进液膜扩散控制的复合模型”和“海水中液-固界面分级离子/配位子交换理论”基础上,吸取Crank的若干数学处理方法,进而提出适合于非稳态体系的“液膜扩散-递进扩散-界面分级交换反应联合控制的复合模型”。     

大深度载人潜水器浮力材料的应用现状和发展趋势

在所有海洋装备中,大深度载人潜水器代表深海技术的制高点,而大深度载人潜水器的研制所要解决的关键问题之一就是浮力材料的选择。文章概述浮力材料的分类以及浮力材料在三代大深度载人潜水器上的应用情况,并对能够满足大深度尤其是全海深载人潜水器需求的浮力材料进行对比研究。研究结果表明:微珠复合泡沫虽然能满足7 000m载人潜水器的需求,但应用在全海深载人潜水器时存在密度大和吸水率高的缺点,且不能满足1.5倍安全压力要求;陶瓷等新型浮力材料的密度小和吸水率低,是未来浮力材料的重要发展方向。本研究可为大深度载人潜水器浮力材料的选择提供一定的理论支持。