Optimum Design of Structure Shape for Offshore Jacket Platforms

With the introduction of the design variables of nodal coordinates,which reflect the em-bedded depth of the pile and the jacket bed height,a shape optimum design model for offshore jacket plat-forms is established.A sequential two-level optimum algorithm is developed based on the design variablegradation.On the basis of the finite element method,the sensitivity of the objective function and nodal dis-placement is analyzed.As an example,the BZ281 oil storage offshore platform,which lies in the Bohai oilfield,is designed with the shape optimum model.The results are compared with the cross-section optimumdesign.The tendency of design variables and its reasons in the two methods are analyzed.In the shapeoptimum design,the value of objective function is obviously smaller than that of the initial design and thecross-section optimum design.Therefore,the advantage of structure shape optimum design for jacket plat-forms is remarkable.     

A wavelet for predicting the time-domain response of vertically tethered systems

The response wavelets for tether tension and the displacement of a package on the end of a tether are derived from a linear, frequency-domain model of vertically tethered systems using inverse fourier transform techniques. These wavelets are convolved with a record of ship displacement to predict the instantaneous tension and displacement to an accuracy of better than 20% for a typical system. Although snap loads are non-linear and the response cannot be calculated while the tether is slack, the onset of zero tension — a precursor to snap loads — is predicted by the wavelet. Thus, extreme and potentially hazardous conditions are foreseeable with the wavelet and this information can be used in real-time to guide operations at sea.     

基于遗传算法的开敞域码头桩基优化设计

利用遗传算法对大型高桩码头的桩基布置问题建立了离散结构优化模型,通过对上海宝钢30万吨码头桩基优化的算例分析,得到了较常规算法更好的结构方案。     

磷酸盐现场自动分析仪化学工艺优化研究

本文结合营养盐现场自动分析仪的研制,研究了磷酸盐分析所南各种试剂的用量及其作用,重点研究了低浓度磷酸盐的浓度与吸光值之间的关系以及温度对完全反应时间的影响,给出了０．００６～０．１２０ｍｇ／Ｌ范围内ＰＯ４－Ｐ浓度与吸光值的线性函数关系和较合适的完全反应温度,并且提出了现场自动分析仪的两点定标方法。     

Homotopy Method for Inverse Design of the Bulbous Bow of A Container Ship

The homotopy method is utilized in the present inverse hull design problem to minimize the wave-making coefficient of a 1300 TEU container ship with a bulbous bow. Moreover, in order to improve the computational efficiency of the algorithm, a properly smooth function is employed to update the homotopy parameter during iteration. Numerical results show that the homotopy method has been successfully applied in the inverse design of the ship hull. This method has an advantage of high performance on convergence and it is credible and valuable for engineering practice.     

Wave diffraction and near-trapping by a multi-column gravity-based structure

This paper is concerned with the diffraction of water waves by offshore structures, with the ultimate aim of proposing tools for guiding airgap design. The diffraction of monochromatic waves by an array of four bottom mounted cylinders and a gravity-based structure is studied in detail using linear and second order theory. The phenomenon of near-trapping is investigated, allowing guidelines for airgap design to be established. When contemplating airgap design, however, it is crucially important that consideration is given to the largest waves in a sea state. Therefore, in this study a design wave, called NewWave, is proposed as a realistic model for large ocean waves and is used as the incident wave field in the wave-structure diffraction analysis.     

基于SVM的海底声纳图像底质识别*

对海底底质声纳图像分割,提取单元特征向量进行主成份分析,选取均值、标准差、对比度、相关系数、能量及同质性作为训练特征向量,优化支持向量机(SVM)参数.利用多分类 SVM 对砂、礁石、泥进行训练,有效、快速地分离出了3种底质类型,测试精度高于80%,表明该方法可有效用于海底底质声纳图像的识别和分类.     

基于分区间泛化Kriging近似模型的船舶局部结构形状优化

为提高Kriging近似模型在船舶结构性能多维度响应预测方面的适用性,对常规Kriging近似模型进行分区间泛化改进:一是对设计样本点的各个维度(分量)进行划区,并在每一个分区间内采用最优拉丁超立方(OLhd)取样;二是引入比例系数w1组合高斯与指数型相关函数提高模型对数据的泛化能力,从而在每个划分的区间内建立泛化的Kriging近似模型。通过SCH测试函数,验证了构造的分区间泛化Kriging模型有效性。结合参数化建模和改进Kriging近似模型对某过渡肘板和舱口角隅边界进行形状优化,优化第一阶段由改进的近似模型通过多岛遗传算法得到全局初步的最优解,第二阶段在初步解的基础上缩小优化变量范围,由少量的FEM计算即可在小范围内搜寻到精确的最优设计变量。结果表明:分区间泛化Kriging近似模型在预测多维度响应时较常规Kriging模型预测精度更高;分阶段的形状优化流程在保证极小误差和缩小计算成本的情况下能够得到理想的应力分布和重量优化结果,有助于船舶结构的轻量化研究。     

仿生机器鱼尾鳍推进效率的多参数优化研究

仿生机器鱼作为一种高效、高机动的水下机器人,得到了科研人员的广泛关注,对BCF方式机器鱼尾鳍推进效率的研究是其中的重点方向。目前对尾鳍推进效率的优化研究,大多局限于尾鳍单一参数的优化,这与自然鱼类的游动状态相差甚远,因而不能真正达到推进效率最大化的目的。本文提出了尾鳍多参数优化方案,通过对尾鳍转动频率、摆动幅值、击水角度和摆动周期等参数的联合优化,得到一组特定游速下的参数值,结果表明本研究对象在游速0.6L m/s时(L为体长),数值计算推进效率为65.7%,仿真推进效率为64.3%的,均大于目前单一参数的优化结果,充分体现了尾鳍多参数配合的优越性。本文的研究,对提高仿生机器鱼的推进效率具有积极作用。     

Shape optimization of two-dimensional cavitators in supercavitating flows, using NSGA II algorithm

The reduction of energy consumption of high speed submersible bodies is an important challenge in hydrodynamic researches. In this paper, shape optimization of two-dimensional cavitators in supercavitating flows is studied. A two dimensional supercavitation potential flow passes a symmetric two dimensional cavitator, which is placed perpendicular to the flow in a channel of infinite length and immediately a cavity is formed behind the cavitator. This is because of the generation of a gas or vapor cavity between the body and the surrounding liquid due to the change in a high speed flow direction passing the cavitator. Drag force acting on this supercavitating body dictates the thrust requirements for the propulsion system, to maintain a required cavity at the operating speed. Therefore, any reduction in the drag force, by modifying the shape of the cavitator, will lead to decrease this force. This study concentrates on the optimization of two dimensional cavitators in order to decrease drag coefficient for a specified after body length and velocity in a potential flow. To achieve this goal a multi-objective optimization problem is defined to optimize cavitator shapes in supercavitating flow. The so-called NSGA II (Non-dominated Sorting Genetic Algorithm) algorithm is used as an optimization method. Design parameters and constraints are obtained according to supercavitating flow characteristics and cavitator modeling and objective functions are generated using Linear Regression Method. The obtained results are compared with other classic optimization methods, like the weighted sum method, for validation.