Fuzzy Optimum Model of Semi-Structural Decision for Lectotype Optimization of Offshore Platforms

In the process of concept design of offshore platforms, it is necessary to select the best from feasible alternatives through comparison and filter. The criterion set, used to evaluate and select the satisfying alternative, consists of many qualitative and quantitative factors. Therefore, the selection is a problem of multicriteria and semi- structural decision- making. Different from traditional methods in semi- structural decision- making, a new framework and methodology is presented in this paper for evaluation of offshore platform alternatives. First, the criterion set is established for the evaluation of alternatives. Next, the approach is studied to construct the relative membership degree matrix, in which both qualitative and quantitative factors are consistent with the uniform calculating standard. And then a new weight-assessing method is developed for calculation of the weights based on the relative membership degree matrix. Finally, a multi-hierarchy fuzzy optimum model is adopted to select t     

Optimization of ship’s subdivision arrangement for offshore sequential ballast water exchange using a non-dominated sorting genetic algorithm

Ship’s subdivision arrangement is a multi-objective combinatorial optimization problem with multiple nonlinear constraints. This study focuses on finding a methodology for ship’s subdivision arrangement that can guarantee ship’s offshore sequential ballast water exchanging (SBWE) performances in the preliminary design stage. A mathematical model is built using minimizing trims and hull girder longitudinal bending moments and shearing forces occurred in the SBWE as the objectives, and the multiple safety criteria of the SBWE as the constraints. The longitudinal lengths of the ballast water tanks (BWTs) are taken as design variables that will alter within a reasonable length range. An elitist nondominated sorting genetic algorithm (NSGA-II) is utilized to perform the optimization, in which the nondominated sorting mechanism is employed to handle the multiple objectives, and the constraint-domination principle is utilized to handle the multiple constraints. A special crossover operator called the dispersion apportioned allelic (DAA) crossover is introduced to perform the reproduction of the special problem. A real case study of the subdivision arrangement based on the SBWE of a 50,000DWT double hull product tanker is conducted to demonstrate the feasibility and effectiveness of the proposed approach.     

海洋工程风险评估的现状和发展

复杂工程风险评估是近年来得到迅速发展的新的系统化的方法,本文讨论了适合于海洋工程风险评估的理论框架,涉及了动态系统风险评估和人因可靠性分析技术,为其进一步发展提出方向,文中给出了ＴＬＰ风险评估的实例。该框架同样适用于其它复杂的工程系统。     

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。     

Anchor deployment for deep water floating offshore equipments

In this work a planning methodology for deep water anchor deployment in offshore platforms and floating production systems aiming at operational resources optimization is explored, by minimizing a multi criteria objective function. As an additional advantage provided by the proposed methodology, planning automation is achieved. Planning automation overcomes the traditional way, using a trial error basis. With it, an engineer, using an anchoring software, decides how much work wire and anchoring line must be paid out from both the floating system and the tug boat. Additionally, he decides which horizontal force must be applied to the line, trying to settle the anchor on a previously defined target on the ocean floor.     

海上油气平台和海底电缆管道信息化系统的设计与应用

为加强对海上油气平台和海底电缆管道的信息化管理,为海洋管理部门的使用审批和相关企业的安全生产提供信息服务和决策支持,文章基于国家海域动态监视监测管理系统,设计开发海上油气平台和海底电缆管道信息化系统。该系统采用多层架构体系,具有较强的扩展性;分为数据整理、行政审批、统计分析、综合展示和系统管理5个功能模块,采用面向服务的软件架构、模型驱动的系统设计和开发以及MVC技术框架等关键技术,实现数据标准化和共享化、审批全过程管理以及二/三维可视化等功能。目前系统运行状况良好,已获取大量海上油气平台和海底电缆管道信息,在三维展示方面仍需完善。     

海洋平台结构风险评估

作为结构系统可靠性方法与结构损伤冗余设计的一个合理延伸与综合，结构风险评估与决策技术是近年来得到迅速发展的新方法。本文讨论了海洋平台结构风险评估的理论框架，涉及了结构风险评估的几个基本方面，为进一步进行详细研究确立了一条主线。本文还对导管架式平台的结构风险评估进行了简要讨论。     

Group Decision Making-Based Fuzzy Pattern Recognition Model for Lectotype Optimization of Offshore Platforms

This paper develops a fuzzy pattern recognition model for group decision making to solve the problem of lectotype optimization of offshore platforms. The lack of data and the inexact or incomplete information for criteria are the main cause of uncertainty in the evaluation process, therefore it is necessary to integrate the judgments from different decision makers with different experience, knowledge and preference. This paper first uses a complementary principle-based pairwise comparison method to obtain the subjective weight of the criteria from each decision maker. A fuzzy pattern recognition model is then developed to integrate the judgments from all the decision makers and the information from the criteria, under the supervision of the subjective weights. Finally a case study is given to show the efficiency and robustness of the proposed model.     

Group Decision Making Based Fuzzy Pattern Recognition Model for Lectotype Optimization of Offshore Platforms 1

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Active impulsive echo discrimination in shallow water by mappingtarget physics-derived features to classifiers

One of the most difficult challenges in shallow-water active sonar processing is false-alarm rate reduction via active classification. In impulsive-echo-range processing, an additional challenge is dealing with stochastic impulsive source variability. The goal of active classification is to remove as much clutter as possible while maintaining an acceptable detection performance. Clutter in this context refers to any non-target, threshold-crossing cluster event. In this paper, we present a clutter-reduction algorithm using an integrated pattern-recognition paradigm that spans a wide spectrum of signal and image processing-target physics, exploration of projection spaces, feature optimization, and mapping the decision architecture to the underlying good-feature distribution. This approach is analogous to a classify-before-detect strategy that utilizes multiple informations to arrive at the detection decision. After a thorough algorithm evaluation with real active sonar data, we achieved over an order of magnitude performance improvement in clutter reduction with our methodology over that of the baseline processing     

模糊多属性决策模型在海洋平台选型中的应用

将模糊多属性决策理论应用于海洋平台设计选型中,根据多个属性的估计值,结合决策者的偏好,通过综合评价,在若干设计方案中选出最优方案.考虑到在概念设计阶段对于属性特征值及属性权重值的估计带有一定的模糊不确定性,将属性特征值和属性权重值表示为模糊数的形式,并且根据模糊集理论的表现定理得出各个设计方案的决策值.根据模糊数排序理论对设计方案进行排序并得到最优设计方案.总之,该研究为海洋平台设计方案的选型决策提高了一种新方法.     

Prediction of short-term distributions of load extremes of offshore wind turbines

This paper proposes a new methodology to select an optimal threshold level to be used in the peak over threshold (POT) method for the prediction of short-term distributions of load extremes of offshore wind turbines. Such an optimal threshold level is found based on the estimation of the variance-to-mean ratio for the occurrence of peak values, which characterizes the Poisson assumption. A generalized Pareto distribution is then fitted to the extracted peaks over the optimal threshold level and the distribution parameters are estimated by the method of the maximum spacing estimation. This methodology is applied to estimate the short-term distributions of load extremes of the blade bending moment and the tower base bending moment at the mudline of a monopile-supported 5MW offshore wind turbine as an example. The accuracy of the POT method using the optimal threshold level is shown to be better, in terms of the distribution fitting, than that of the POT methods using empirical threshold levels. The comparisons among the short-term extreme response values predicted by using the POT method with the optimal threshold levels and with the empirical threshold levels and by using direct simulation results further substantiate the validity of the proposed new methodology.     

Seismic imaging of Paleogene sediments of Kachchh Shelf (western Indian margin) and their correlation with sea-level fluctuations

The sedimentary history of Kachchh offshore (central western Indian margin), especially since the eruption of the Deccan Traps (∼65 Ma), has remained scantily studied despite an area with promising resource potential. Of late, new marine surveys combined with industrial drilling along the Kachchh shelf are beginning to elucidate the depositional history of this region. Here, we attempt to synthesize interpretation of new offshore seismic data, along with borehole information and long-term sea-level variations to provide a coherent sedimentological and lithostratigraphic framework over the past ∼65 Ma in this area.     

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。     

海上风电工程结构安全监测体系框架设计

文章针对海上风电工程结构安全监测的需求,在系统回顾了目前的主要监测现状及存在的监测难点的基础上,初步构建了水上、水下一体化安全监测体系基础框架,阐述了主要的工作流程,重点探讨了海上风电工程安全监测中的精密单点定位（PPP）技术、高程传递、多传感器集成、精密水下定位技术、水下摄像机标校、水下三维激光点云快速建模、水下桩基全景影像与点云数据匹配、多波束与侧扫声呐数据融合等关键技术,以期为海上风电工程结构设施管控、变化监控和防灾减灾提供新的应急方案和技术支撑。     

Fuzzy MCDM-based GIS model for subsea oil pipeline route optimization: An integrated approach

Proper pipeline route selection is an integral component of a typical oil exploration and transportation project. Improperly selected routes could have severe consequences including pipe failures, oil spillage, and environmental disasters. Consequently, technologies like geographic information systems (GIS) are increasingly being used to facilitate the oil pipeline route selection procedure—especially for onshore routing projects. Surprisingly, not much has been documented on the application of GIS to offshore pipeline routing. With recent discoveries on the merits of offshore oil exploration, it is necessary to extend the analytical capabilities of GIS to the unique offshore domain. However, concerns have been raised regarding the limitations of GIS in accurately prioritizing diverse selection criteria in typical multi-criteria decision-making (MCDM) problems like route selection. Consequently, this paper addresses the offshore/subsea pipeline routing constraint using a hybrid decision support system (DSS), which integrates a GIS and fuzzy logic-based approximate reasoning (AR) models for optimal performance. The resultant spatial decision support system (SDSS) was successfully applied to a case study in Malaysia. The AR algorithm calculated the significance level of the multiple criteria using various fuzzy linguistic variables and membership functions. The aggregated priority ranking from different pipeline routing experts showed that the overall influence of the environmental criteria (61.4%) significantly exceeded that of other equally important criteria in the study area. These rankings were inputted into the SDSS to simulate various probable routes. Final results accurately highlighted an optimal route, which places a premium on the protection of environmental features in the subsea study area—in alignment with the preferences of majority of the experts.     

Input reduction for long-term morphodynamic simulations in wave-dominated coastal settings

Input reduction is imperative to long-term (> years) morphodynamic simulations to avoid excessive computation times. Here, we introduce an input-reduction framework for wave-dominated coastal settings. Our framework comprises 4 steps, viz. (1) the selection of the duration of the original (full) time series of wave forcing, (2) the selection of the representative wave conditions, (3) the sequencing of these conditions, and (4) the time span after which the sequence is repeated. In step (2), the chronology of the original series is retained, while that is no longer the case in steps (3) and (4). We apply the framework to two different sites (Noordwijk, Netherlands and Hasaki, Japan) with multiple nearshore sandbars but contrasting long-term offshore-directed behavior: at Noordwijk the offshore migration is gradual and not coupled to individual storms, while at Hasaki the offshore migration is more episodic, and wave chronology appears to control long-term evolution. The performance of the model with reduced wave climates is referenced to a simulation with the actual (full) wave-forcing series. We demonstrate that input reduction can dramatically affect long-term predictions, even to such an extent that the main characteristics of the offshore bar cycle are no longer reproduced. This was particularly the case at Hasaki, where all synthetic series that no longer capture the initial chronology (steps 3 and 4) lead to rather unrealistic long-term simulations. At Noordwijk, synthetic series can result in realistic behavior, provided that the time span after which the sequence is repeated is not too large; the reduction of this time span has the same positive effect on the simulation as increasing the number of selected conditions in step 2. We further demonstrate that, although storms result in the largest morphological change, conditions with low to intermediate wave energy must be retained to obtain realistic long-term sandbar behavior. Our input-reduction framework must be applied in an iterative fashion as to obtain a reduced wave climate that simulates long-term sandbar sufficiently accurately within an acceptable computation time. Given its potentially huge impact on the actual simulation, we believe it is imperative to consider input reduction as an intrinsic part of model set-up, calibration and validation.     

Mapping ecosystem services for marine spatial planning: Recreation opportunities in Sub-Antarctic Chile

The ecosystem services approach has increasingly emerged as a core requirement of ecosystem-based management of the marine space. In this context, explicit quantification and mapping of ecosystem services is considered key. This research proposes a methodological framework that combines Geographic Information Systems and participatory techniques to map the ecosystem service of recreation opportunities, provided by coastal and marine ecosystems. Attributes selected to represent the ecosystem service were scenic beauty, unique natural resources, accessibility, cultural sites and tourism use aptitude. High values of the indicator concentrated on areas that combined the presence of unique marine fauna (e.g. Southern Elephant Seal, Mirounga leonina), terrestrial and marine routs, and areas of high scenic beauty, associated to the presence of glaciers. These areas corresponded to the southern part of Almirantazgo Sound, the northern part of Navarino Island on the coast of the Beagle Channel, and to areas surrounding Wulaia fishermen's cove. Zones showing highest values of the indicator 81–100) comprised 0.89% of the study area and a small proportion of them coincided with areas of aptitude for aquaculture, which represents potential use conflicts, as long as aquaculture concessions remain operative. In turn, the areas of lowest values 0–20) were located offshore in open sea, and comprised 0.49% of the study area. Overall, the methodology demonstrated the capacity to identify potential recreation areas to inform regional decision making regarding marine use planning.     

流体动力干扰对桩柱矩阵阵列波浪力的影响

随着超大型海洋结构物的设计和研究日益受到重视,研究多物体之间的流体动力干扰特性显得十分必要。用波动源在截面周线上分布的方法,就垂直桩柱间三维流体动力干扰对波浪力的影响进行了系统的研究,不仅可得到单行柱列的流体动力干扰力学机理的新特性,而且对多行桩柱阵列的研究也取得了若干新的发现：多行柱柱阵列的遮蔽作用强于单行的;无论是单行还是多行柱列,其流体动力干扰特性存在一个十分敏感的来波频域,在此区域内,力的幅值会大大超过其他频域的受力,而且桩柱阵列与交错阵列的力学特性也有所不同。这对超大型海洋结构物的设计有着重要的指导意义。     

一种新型激光雷达测风浮标设计及海试应用

精确获取剖面风数据对海上风电场规划选址、风能资源评估等至关重要.针对测风塔建设成本高、拆卸移动困难,而传统浮标电源供给较小、摇晃角度大等缺点,设计一种新型激光雷达浮标,实现了对目标海域的风资源剖面数据的观测、解算与自存储.在南海海域进行海试应用,并对观测的剖面风数据和传统大型海洋资料浮标风数据进行同步比测分析.结果 表...