结构模糊可靠性指标的遗传算法

本文基于哈索弗－林德提出的结构可靠性指标β的定义，通过改进的遗传算法，建立了考虑变量服从多种概率发布与相关性及其模糊性的广义随机空间内可靠性指标的计算方法，并且通过结构可靠性指标分析与可靠性优化的实例，验证了算法的可行性与可靠性     

Multi-Objective Fuzzy Optimum Design Based on Reliability for Offshore Jacket Platforms

In consideration of the fuzzy constraint boundary and through analysis of structural reliability, a model of structural fuzzy optimum design is established based on reliability for offshore jacket platforms. According to the characteristics of offshore jacket platforms, the tolerance coefficient of the constraint boundary is determined with the fuzzy optimization method. The optimum level cut set which is the intersection of the fuzzy constraint set and fuzzy objective set, is determined with the bound search method, and then the fuzzy optimum solution to the fuzzy optimization problem is obtained. The central offshore platform SZ36-1 is designed with the fuzzy optimum model based on reliability; the results are compared with those from deterministic optimum design and fuzzy optimum design. The tendency of design variables in the above three methods and its reasons are analyzed. The results of an example show that the fuzzy optimum design based on reliability is stable and reliable.     

Derivation of Reliability Index Vector Formula for Series System and Its Application

In this study, a reliability index vector formula is proposed for series system with two failure modes in term of the concept of reliability index vector and equivalent failure modes. Firstly, the reliability index vector is introduced to determine the correlation coefficient between two failure modes, and then, the reliability index vector of a series system can be obtained. Several numerical cases and an analysis on offshore platform are performed, and the results show that this scheme provided here has better computational accuracy, and its calculation process is simpler for the series systems reliability calculations compared with the other methods. Also this scheme is more convenient for the engineering applications.     

An Intelligent Method for Structural Reliability Analysis Based on Response Surface

As water depth increases, the structural safety and reliability of a system become more and more important and challenging. Therefore, the structural reliability method must be applied in ocean engineering design such as offshore platform design. If the performance function is known in structural reliability analysis, the first-order second-moment method is often used. If the performance function could not be definitely expressed, the response surface method is always used because it has a very clear train of thought and simple progranuning. However, the traditional response surface method fits the response surface of quadratic polynomials where the problem of accuracy could not be solved, because the true limit state surface can be fitted well only in the area near the checking point. In this paper, an intelligent computing method based on the whole response surface is proposed, which can be used for the situation where the performance function could not be definitely expressed in structural reliability analysis. In this method, a response surface of the fuzzy noural network for the whole area should be constructed first, and then the structural reliability can be calculated by the genetic algorithm. In the proposed method, all the sample points for the training network come from the whole area, so the true limit state surface in the whole area can be fitted. Through calculational examples and comparative analysis, it can be known that the proposed method is much better than the traditional response surface method of quadratic polynomials, because, the amount of calculation of finite element analysis is largely reduced, the accuracy of calculation is improved, and the true limit state surface can be fitted very well in the whole area. So, the method proposed in this paper is suitable for engineering application.     

Fuzzy Reliability Analysis for Seabed Oil Gas Pipeline Networks Under Earthquakes

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Optimum Design for Offshore Platform Structural Reliability

In this paper, the main problems concerning reliability design of offshore platform structure are described and the general steps for the use of Safety Coefficient Method are presented.     

削角直立式防波堤可靠度分析

根据最新导出的荷载变量相关时结构可靠指标β的Hasofer-Lind计算方法，利用特定地点的长期波浪观测资料，对明、暗基床的削角直立式防波堤进行了可靠度分析，得出了可靠指标β与传统设计方法中安全系数K的关系曲线，进而给出了削角直立堤抗滑移和抗倾覆极限状态下各项分项系数的建议值。     

基于塑性极限分析理论和神经网络响应面的结构系统可靠性分析

根据多层神经网络映射存在定理,提出了基于神经网络响应面和塑性极限分析理论的结构系统可靠性分析的新方法。数值试验表明,该方法可以快速、高质量地求出结构系统可靠性指标,是一个具有发展前景的新方法。     

Fuzzy Fatigue Reliability Analysis of Offshore Platforms in Ice-Infested Waters

1 .IntroductionTheBohaiGulfisinfestedbyiceinthewholewinter,andoffshorestructuresthereexperiencenotonlywind ,waves ,currentsandearthquake ,butalsoiceloadswhicharecomplicatedbecauseofthedynamicinteractionbetweenicesheetsandstructures.Duanetal.( 2 0 0 0 )hadacomprehensivere viewofthelatestadvancesonice inducedvibration ,fatigueandfractureofoffshorestructures ,payingmuchattentiontothedifferencesinicebreakingmodeanddynamicsofstructuresindifferentice in festedwaters .Theypresentedcriticallythelates…     

海上桶基平台基础边界条件的简化方法与结构优化

海上桶型基础平台采用桶型基础这一新型的基础型式,桶基平台在结构强度校核计算和结构优化中必须考虑其有限元分析模型的基础边界条件简化问题。本文提出了桶基平台有限元分析模型中的基础边界条件简化方法,将桶型基础边界简化为位移弹簧边界元,给出了弹簧刚度的计算方法。通过模型试验与本文提出方法的计算结果的比较,证明本文提出的方法是正确的。同时,将本文提出的方法应用于桶基火炬平台的结构优化,表明该方法是实际可行的并且对于桶基平台的结构强度校核计算与结构优化有重要意义。对于桶基火炬平台的结构优化采用了适合离散变量优化求解的遗传算法,优化的结果有效地降低了结构重量,降低了工程造价。     

基于模糊故障树方法的脐带缆可靠性分析研究

脐带缆作为水下生产系统的“神经生命线”,是水下生产系统的关键一环,其可靠性问题越来越受到关注。影响脐带缆可靠性的事件具有随机性,目前缺乏对这些随机事件发生概率的统计,难以直接对其可靠性进行定量分析。基于模糊数理论和故障树结合的方法对脐带缆可靠性进行分析,首先获得引起脐带缆失效的40个最小割集及底事件重要度排序。其次采用基于模糊集理论的定量分析对脐带缆故障树系统中的底事件进行统计计算,得到各底事件的失效概率,最终计算出顶事件概率,并得出导致脐带缆失效的主要因素依次为护套/铠装失效、钢管失效、电缆失效,为脐带缆的安全运行提出适当的建议。     

System Reliability Analysis of Offshore Strctures and Component Safety Rank Assessment

Offshore structures will encounter serious environmental load,so it is important to study thestructural system reliability and to evaluate the structural component safety rank.In this paper,thebracnch-and-bound method is adopted to search the main failure path,and the Ditlevsen bound method isused to calculate the system failure probability.The structure is then assessed by the fuzzy comprehensiveassessment method,which evaluates the structural component safety rank.The ultimate equation of the tu-bular cross-section is analyzed on the basis of ultimate stregnth analysis.The influence of effectcoefficients on the structural system failure probability is investigated,and basic results are obtained.Ageneral program for spatial frame structures by means of the above method is developed,and verified bythe numerical examples.     

自适应遗传算法解决集装箱装载问题的方法探讨

集装箱装箱问题是1个有很强应用背景的组合优化问题，约束条件多，求解极为困难。本文探讨了自适应遗传算法在复杂集装箱装载问题中的应用，算法中采用跨世纪精英选择策略保持了群体的多样性，并给出了有效的解码算法。实例仿真结果显示出很好的效果，同等条件下求解结果比使用启发式算法高出近10个百分点，表明该算法是行之有效的。     

海洋平台优化设计的研究进展

结构优化是结构设计理论的重要发展,随着“十五”渤海大油田勘探开发战略的实施,结构优化技术将在新型抗冰振平台设计中发挥重要作用。从静力优化设计、动力优化设计、基于可靠度优化设计、全寿命优化设计四个方面论述了海洋平台结构优化设计的研究现状,并展望了海洋平台优化设计的研究前景。     

远洋运输系统人因可靠性定量分析

远洋运输中可能发生的灾害性事故,如船舶碰撞、搁浅、腐蚀疲劳破坏、火灾、爆炸等,大多与人为失误和组织失误（HOE）有关.因此,进行远洋运输系统人因可靠性定量分析,对于运输系统的安全非常重要.针对此问题,文章结合操作风险管理（ORM）技术,对远洋运输系统进行人因可靠性定量分析.为远洋船舶提供了一套预测人为误操作的分析方法,可以降低HOE风险的发生概率,以减小事故的发生.     

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.     

X型正断层构造特征及其构造物理模拟

X型正断层是常见的伸展构造样式,其几何学特征、形成过程及成因机制缺乏系统研究。基于地震资料精细解释和构造物理模式实验,明确几何学特征,重构其形成过程,明确形成机制,并探讨控藏作用。研究结果表明,X型正断层分为新生型和继承型2大类。继承型X型正断层是基底断裂复活形成的,包括差异伸展和双向均匀伸展2种模式;新生型X正断层形成于张应力和剪应力配比关系为1:2～2:1范围内的应力背景;继承型X型正断层具有较好油气运移、储层改造等优势并且形成多类型圈闭,具有“多层楼”式的成藏模式。X型正断层的研究丰富了构造样式研究的理论认识,建立了合理的地质模型,为构造精细解释提供依据。     

波浪滑翔机水下牵引机结构设计与分析

为满足对远洋环境进行长时间、大范围监测的实际需求,设计提出一种波浪动力滑翔机,该设备是一种无需携带能源即可实现自主航行的新型海洋监测平台,其主体结构由水面母船、水下牵引机和柔性缆绳三大部分组成。平台通过即时获取海洋中的波浪能、太阳能、风能作为行走的动力源,克服了传统海洋监测设备在能源供应上存在的短板。为进一步提升水下牵引机对波浪能的利用率,采用Ansys软件中的Fluent模块对水下牵引机进行水动力仿真研究,分析了侧翼板形状、侧翼板工作最大摆动角度以及侧翼板安装分布间距对滑翔机总体行走效率的影响。结果表明:NACA翼型侧翼板具有更好的水动力性能;随着最大摆动角度的增加,水下牵引机的推进效率先增大后减小,最大摆角在20°左右时,推进效果最佳;随着侧翼板分布间距的增大,水下牵引机的推进效率逐渐减小,分布间距在80 mm左右时,推进效果最佳。     

BP网络学习参数模糊自适应算法的实现

前馈神经网络BP算法的改进方案中,对网络训练(学习)过程中学习率和惯性系数进行模糊自适应调节,以提高收敛速度,是一项很有效的措施。文中具体分析了如何根据设计者的先验知识确定模糊规则和隶属函数,并以三比特异或函数(或称奇偶分类)的实现为例,验证了这种算法的改进、加速了BP网络的学习过程。     

基于模糊C均值聚类的云图样本修正与云类自动识别

基于云类样本的红外-可见光二维灰度空间投影,采用模糊聚类方法调整优化云类样本特征区域,消除采样误差。针对常规模糊C均值聚类(FCM)方法在处理上述问题时表现出的局限性,提出用样本特征均值替代FCM中随机初始中心的改进办法,既避免了常规FCM方法对初始中心敏感的缺陷,又可纠正其聚类结果对云类样本特征结构的歪曲。改进后的聚类结果既消除了采样误差,又保持了云类样本的基本特征属性。基于该判据的分类结果,可较为准确地分辨出陆地、水体、低云、中云、卷云、对流云和积雨云,分割判另9结果符合客观实际。