基于拓扑优化方法的船体支柱布局优化设计

船体支柱的布局影响到船舶功能性舱室的布置及相应的结构设计,而目前支柱布局多依赖母型船或者工程师设计经验,缺少基于数学优化的技术支撑。变密度的拓扑优化方法可将属于离散变量优化的支柱布局问题转化为连续变量优化问题。通过悬臂梁—支柱结构的算例,验证了该方法用于解决支柱布局优化问题的可行性。针对某型VLCC的支柱—大跨度甲板结构的支柱布局优化问题,根据布置限制条件设定了支柱优化设计域,选择了两种不同的优化目标函数进行支柱的布局优化设计,最后对优化结果进行了对比分析。结果表明,本方法具有较好的可行性,无需过多设计经验即可优化得到结构性能较好的支柱布局方案,可为此类的支柱布局优化设计提供技术支撑。     

Tidal Turbine Array Optimization Based on the Discrete Particle Swarm Algorithm

In consideration of the resource wasted by unreasonable layout scheme of tidal current turbines, which would influence the ratio of cost and power output, particle swarm optimization algorithm is introduced and improved in the paper. In order to solve the problem of optimal array of tidal turbines, the discrete particle swarm optimization (DPSO) algorithm has been performed by re-defining the updating strategies of particles’ velocity and position. This paper analyzes the optimization problem of micrositing of tidal current turbines by adjusting each turbine’s position, where the maximum value of total electric power is obtained at the maximum speed in the flood tide and ebb tide. Firstly, the best installed turbine number is generated by maximizing the output energy in the given tidal farm by the Farm/Flux and empirical method. Secondly, considering the wake effect, the reasonable distance between turbines, and the tidal velocities influencing factors in the tidal farm, Jensen wake model and elliptic distribution model are selected for the turbines’ total generating capacity calculation at the maximum speed in the flood tide and ebb tide. Finally, the total generating capacity, regarded as objective function, is calculated in the final simulation, thus the DPSO could guide the individuals to the feasible area and optimal position. The results have been concluded that the optimization algorithm, which increased 6.19% more recourse output than experience method, can be thought as a good tool for engineering design of tidal energy demonstration.     

基于遗传算法的缓波型立管多目标集成优化

缓波型立管由于设计参数较多且优化目标之间相互影响,设计结果具有很大的不确定性。随着代理模型和智能优化算法的发展,针对缓波型立管的优化可以提出更好的解决方案。以提高力学性能和经济效益为优化目标,采用基于Kriging插值模型和NSGA-II算法的多目标优化策略,对考虑顶部浮体影响的深水缓波型立管进行动力响应分析,并开展线型—截面双目标优化集成设计和线型—浮筒三目标优化集成设计。将处于不同几何尺度的设计变量进行集成,旨在各目标存在相互竞争的情况下,与截面、浮筒设计形成有效互动以提高线型设计的总体性能。结果表明,Pareto最优解集可提供多个选择方案,以满足工程实际需要。将所选最优方案与初始设计进行对比,并以疲劳性能和成本估算作为优化的校核指标,取得了理想的优化效果。     

近海海域污染源的合理布局

针对近海海域污染源合理布局问题建立数学模型,论述解的存在性,构造了优化计算方法,对实际海域进行数值计算,通过优化前后海域污染程序的对比,验证了数学模型与算法的正确性与实用性。     

船舶管线隔振支座布局几何优化设计方法

海洋工程船舶管线隔振支座布局直接影响到管线整体的结构性能和经济性。在船舶管线隔振支座布局优化规范设计法的基础上,进一步提出了隔振支座布局几何优化设计模型与方法。该方法假定支座总数目,采用迭代优化算法求解,通过确定各支座的几何位置坐标实现布局优化。该迭代算法依据约束条件的满足情况及变步长的临界间距值来确定支座数量的减少与增加,最终得到较优的支座数目及间距。以应用于某舰艇的二维管道为例,用该方法对其隔振支座布局进行优化设计,并将不同目标函数下的优化结果同规范设计法所得结果进行了对比。比较结果表明,该模型与方法具有较好的可行性与稳定性。     

深海采矿转臂机构采矿姿态优化研究

针对海底地形不平坦特性,提出了一种变幅机构来自适应海底地形采矿姿态的采矿机构。综合考虑采矿机构采掘头距海底高度对采矿率影响,利用关键点法建立了节臂上的点到海底地形距离的数学模型。在此基础上,建立了以采矿率最高为目标的最优采矿姿态数学模型。以某实际地形为例,采用模拟退火遗传算法优化求解最优采矿姿态。根据其优化后结果可知,其最优采矿姿态与海底地形坡度变化一致,从而证明了采矿姿态模型的正确性。     

Optimization Design of Fairings for VIV Suppression Based on Data-Driven Models and Genetic Algorithm

Vortex induced vibration(VIV)is a challenge in ocean engineering.Several devices including fairings have been designed to suppress VIV.However,how to optimize the design of suppression devices is still a problem to be solved.In this paper,an optimization design methodology is presented based on data-driven models and genetic algorithm(GA).Data-driven models are introduced to substitute complex physics-based equations.GA is used to rapidly search for the optimal suppression device from all possible solutions.Taking fairings as example,VIV response database for different fairings is established based on parameterized models in which model sections of fairings are controlled by several control points and Bezier curves.Then a data-driven model,which can predict the VIV response of fairings with different sections accurately and efficiently,is trained through BP neural network.Finally,a comprehensive optimization method and process is proposed based on GA and the data-driven model.The proposed method is demonstrated by its application to a case.It turns out that the proposed method can perform the optimization design of fairings effectively.VIV can be reduced obviously through the optimization design.     

海上油田油轮外输系统优化分析

对海上油田油轮外输系统进行了分析 ,建立了系统优化的数学模型。选用模矢搜索法、单纯形算法和模拟退火算法三种优化方法进行了计算 ,得出在对某些非线性问题进行优化时 ,利用模拟退火算法和直接最优化方法 (如单纯形法 )相结合 ,既能保证得到全局最优解 ,又能减少计算时间。通过实例计算 ,得出油轮外输系统适用于离岸距离较远、产量较小的油田 ,其外输费用随离岸距离的增加变化非常小 ,但随油田产量的增加而增加较大     

An improved particle swarm optimization algorithm with harmony strategy for the location of critical slip surface of slopes

The determination of optimal values for three parameters required in the original particle swarm optimization algorithm is very difficult.It is proposed that two new parameters simulating the harmony search strategy can be adopted instead of the three parameters which are required in the original particle swarm optimization algorithm to update the positions of all the particles.The improved particle swarm optimization is used in the location of the critical slip surface of soil slope,and it is found that the improved particle swarm optimization algorithm is insensitive to the two parameters while the original particle swarm optimization algorithm can be sensitive to its three parameters.     

基于排队论的水下预置反舰导弹部署优化

随着武器装备的逐渐智能化和信息化，武器系统的水下预置已经成为了未来水下无人作战体系中的重要研究内容之一。以封锁作战为背景，用水下预置反舰导弹构建多层防御阵线封锁战略航道，对敌实施打击。利用排队论相关理论研究了水下预置反舰导弹对来袭舰船编队总的命中概率并建立了其线形部署优化模型。通过仿真算例验证了模型的有效性，分析了影响优化结果的其他因素，结果表明：该模型能够准确找出在总命中概率最大时最佳的部署层数和各层部署数量，可为水下预置反舰导弹的部署决策提供一定科学参考。     

船体结构腐蚀检测规划的成本及效益分析

建立了基于风险的船体结构腐蚀优化检测规划的成本-效益分析模型。以费效比作为选择最优检测策略的标准,最优的检测策略是在保证结构设计工作寿命期内的可靠指标大于最低可靠指标的基础上,使得结构生命周期内总的费效比最大。在此基础上,以受点腐蚀损伤的船体构件为例,对其检测策略进行了成本-效益评估,并对计算结果进行了敏感性分析。结果表明,基于风险的成本及效益分析方法可以将检测规划的经济性和可靠性有效地结合起来,能够在风险与成本之间达到一种平衡,它在优化检测策略时是有效的。     

基于头脑风暴优化算法与BP神经网络的海水水质评价模型研究

针对基于传统BP神经网络的海水水质评价模型存在易陷入局部极小等问题,提出了一种新的利用头脑风暴优化算法(BSO)优化BP神经网络的海水水质评价模型(BSO-BP)。该模型引入具有全局寻优特点的头脑风暴优化算法,用于模拟人类提出创造性思维解决问题的过程,具有强大的全局搜索和局部搜索的能力,同时利用BP神经网络所具有良好的非线性映射能力、学习适应能力和容错性,最大程度上考虑到海洋水质评价因素的非线性和非平稳的关系,得到BP神经网络的各层权值、阈值的最优解,使得海水水质评价结果准确合理。并以胶州湾海域的12个监测站位的监测数据作为评价样本进行水质评价,实验结果表明该评价模型能够克服局部极小问题,评价结果准确性较高,并具有一定的实用性。     

A CPSO-SVM Model for Ultimate Bearing Capacity Determination

In this study, the CPSO-SVM models, which combine chaotic system, particle swarm optimization (PSO) and support vector machine (SVM), are presented and applied to predict the ultimate bearing capacity of shallow foundations. Chaotic mapping enjoys certainty, ergodicity and the stochastic property. Chaotic PSO (CPSO) increases the convergence rate of PSO and precision of the results through introducing chaos mapping into the particle swarm optimization algorithm. Since the selection of parameters for SVM is crucial to its performance of prediction, the CPSO is adopted to search for the optimal parameters. The proposed methods are used to predict the ultimate bearing capacity of shallow foundations based on data of load tests. Results indicate that the proposed methods can appropriately describe the relationship between ultimate bearing capacity and its affective factors, and make good predictions.     

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。     

Lectotype Optimization of Offshore Platforms by Use of Three-Scale Fuzzy Analytical Hierarchy Process

A Three-Scale Fuzzy Analytical Hierarchy Process (T-FAHP) is proposed by introducing the Three-Scale Analytical Hierarchy Process (T-AHP) and the trapezoid fuzzy number. A multi-objective optimization model based on the T-FAHP is presented subsequently, in which many factors influencing the lectotype of offshore platform are taken into account synthetically, such as the original investment, the maintenance cost, the ability of resisting fatigue and corrosion, the construction period, the threat to the environment, and so on. With this method, the experts can give the relatively precise ranking weight of each index and at the same time the requirement of consistence checking can be met. The result of a calculation example shows that the T-FAHP is practical.     

Neumann-Michell theory-based multi-objective optimization of hull form for a naval surface combatant

A numerical multi-objective optimization procedure is proposed here to describe the development and application of a practical hydrodynamic optimization tool, OPTShip-SJTU. Three components including hull form modification module, hydrodynamic performance evaluation module and optimization module consist of this tool. The free-form deformation (FFD) method and shifting method are utilized as parametric hull surface modification techniques to generate a series of realistic hull forms subjected to geometric constraints, and the Neumann-Michell (NM) theory is implemented to predict the wave drag. Moreover, NSGA-II, a muti-objective genetic algorithm, is adopted to produce pareto-optimal front, and kriging model is used for predicting the total resistance during the optimization process to reduce the computational cost. Additionally, the analysis of variance (ANOVA) method is introduced to represent the influence of each design variable on the objective functions. In present work, a surface combatant DTMB Model 5415 is used as the initial design, and optimal solutions with obvious drag reductions at specific speeds are obtained. Eventually, three of optimal hulls are analyzed by NM theory and a RANS-based CFD solver naoe-FOAM-SJTU respectively. Numerical results confirm the availability and reliability of this multi-objective optimization tool.     

结合训练加速及注意力机制的桥梁检测算法

在解析YOLOv4算法基础上,针对应用YOLOv4算法检测遥感影像桥梁目标任务中出现的训练耗时严重及精度较低缺陷,从算法训练过程和结构模块两方面进行优化:使用多尺度训练以及fp_16训练策略降低算法训练成本,并引入SE模块和CBAM模块两种注意力机制提升算法检测精度。消融实验结果表明:优化训练策略能够有效降低算法训练成本,同时提高目标检测精度;相比较CBAM模块,SE模块对算法训练成本增加较小却能收获显著的检测精度提升,优化训练策略并嵌入SE模块的算法,使高分桥梁数据集和DOTA桥梁数据集的平均准确率分别提升1.4%和3%。该优化算法兼具效率和精度优势,为桥梁目标检测难题提供有效解决方法。     

基于能耗最优的TLP张力腿水下无线监测组网方法研究

张力腿作为张力腿平台(tension leg platform,简称TLP)的重要组成部分,服役水深大,动力学行为复杂多样。为了保障张力腿的结构安全,开展张力腿的水下全方位监测十分必要。文中以某TLP为依托,构建一套能耗最优的张力腿监测系统。首先,利用附加质量法对张力腿进行湿模态分析,结合有效独立法与模态置信度准则确定张力腿监测节点的具体布设方案;其次,以能耗最低为优化目标,基于遗传算法建立了水下无线组网监测方案,同时讨论了监测节点存在失效时监测数据传输路径改变方案;最终,得到一套能耗最优的TLP张力腿水下无线组网监测方法,以降低水下监测系统维护成本。     

Research on Bulbous Bow Optimization Based on the Improved PSO Algorithm

In order to reduce the total resistance of a hull, an optimization framework for the bulbous bow optimization was presented. The total resistance in calm water was selected as the objective function, and the overset mesh technique was used for mesh generation. RANS method was used to calculate the total resistance of the hull. In order to improve the efficiency and smoothness of the geometric reconstruction, the arbitrary shape deformation (ASD) technique was introduced to change the shape of the bulbous bow. To improve the global search ability of the particle swarm optimization (PSO) algorithm, an improved particle swarm optimization (IPSO) algorithm was proposed to set up the optimization model. After a series of optimization analyses, the optimal hull form was found. It can be concluded that the simulation based design framework built in this paper is a promising method for bulbous bow optimization.     

Prediction of maximum wave-induced liquefaction in porous seabed using multi-artificial neural network model

In the last few decades, considerable efforts have been devoted to the phenomenon of wave-induced liquefactions, because it is one of the most important factors for analysing the seabed and designing marine structures. Although numerous studies of wave-induced liquefaction have been carried out, comparatively little is known about the impact of liquefaction on marine structures. Furthermore, most previous researches have focused on complicated mathematical theories and some laboratory work. In the present study, a data dependent approach for the prediction of the wave-induced liquefaction depth in a porous seabed is proposed, based on a multi-artificial neural network (MANN) method. Numerical results indicate that the MANN model can provide an accurate prediction of the wave-induced maximum liquefaction depth with 10% of the original database. This study demonstrates the capacity of the proposed MANN model and provides coastal engineers with another effective tool to analyse the stability of the marine sediment.