Probabilistic analysis of the DoB in axially-loaded tubular KT-joints of offshore structures

The degree of bending (DoB) characterizing the through-the-thickness stress distribution has a profound effect on the fatigue behavior of tubular joints commonly found in steel offshore structures and the determination of DoB values is essential for improving the accuracy of fatigue life estimation. Probability density functions of the involved random variables are necessary for the fatigue reliability analysis of offshore structures. The objective of present research was the derivation of probability density function (PDF) for the DoB in tubular KT-joints commonly found in jacket-type offshore platforms. A total of 162 finite element (FE) analyses were carried out on 81 FE models of KT-joints subjected to two types of axial loading. Generated FE models were validated using experimental data, previous FE results, and available parametric equations. Based on the results of parametric FE study, a sample database was prepared for the DoB values and density histograms were generated for respective samples based on the Freedman-Diaconis rule. Thirteen theoretical PDFs were fitted to the developed histograms and the maximum likelihood (ML) method was applied to evaluate the parameters of fitted PDFs. In each case, the Kolmogorov-Smirnov test was used to evaluate the goodness of fit. Finally, the Generalized Extreme Value model was proposed as the governing probability distribution function for the DoB. After substituting the values of estimated parameters, six fully defined PDFs were presented for the DoB in tubular KT-joints subjected to two types of axial loading.     

加筋板的轴压强度受加筋随机点蚀的影响研究

船舶与海洋结构在服役期间会遭受电化学和微生物侵蚀等多种腐蚀环境影响,加筋板作为此类结构的主要受力构件,其表面易产生不规则形态的点蚀,引起构件的强度退化。利用ANSYS有限元软件构建加筋腹板遭受随机点蚀损伤的加筋板有限元模型,研究带板长宽比、带板长细比、加筋长细比和腐蚀体积损失率对加筋板极限强度的影响。研究结果表明,加筋遭受同等腐蚀体积损失率下,带板长宽比变化对极限强度退化的影响很小,但带板长细比和加筋长细比变化产生的影响明显;带板长细比越大,极限强度退化越严重,而加筋长细比越大,极限强度退化反而越小。针对文中研究的加筋板,当加筋长细比为 0.2时,腐蚀体积率为14%的随机点蚀导致结构极限强度退化程度达到约14.0%。因此,加筋的随机点蚀损伤会显著削弱加筋板结构的极限强度,其影响不可忽略。     

Feedback and Feedforward Optimal Control for Offshore Jacket Platforms

The optimal control is investigated for linear systems affected by external harmonic disturbance and applied to vibration control systems of offshore steel jacket platforms. The wave-induced force is the dominant load that offshore structures are subjected to, and it can be taken as harmonic excitation for the system. The iineafized Morison equation is employed to estimate the wave loading. The main result concerns the existence and design of a realizable optimal regulator, which is proposed to damp the forced oscillation in an optimal fashion. For demonstration of the effectiveness of the control scheme, the platform performance is investigated for different wave states. The simulations axe based on the tuned mass damper (TMD) and the active mass damper (AMD) control devices. It is demonstrated that the control scheme is useful in reducing the displacement response of jacket-type offshore platforms.     

A robust damage detection method developed for offshore jacket platforms using modified artificial immune system algorithm

Steel jacket-type platforms are the common kind of the offshore structures and health monitoring is an important issue in their safety assessment.In the present study,a new damage detection method is adopted for this kind of structures and inspected experimentally by use of a laboratory model.The method is investigated for developing the robust damage detection technique which is less sensitive to both measurement and analytical model uncertainties.For this purpose,incorporation of the artificial immune system with weighted attributes(AISWA) method into finite element(FE) model updating is proposed and compared with other methods for exploring its effectiveness in damage identification.Based on mimicking immune recognition,noise simulation and attributes weighting,the method offers important advantages and has high success rates.Therefore,it is proposed as a suitable method for the detection of the failures in the large civil engineering structures with complicated structural geometry,such as the considered case study.     

圆钢管截面极限强度受随机分布点蚀的影响研究

提出一种随机分布点蚀损伤的模拟方法,模拟点蚀在构件表面的随机生长过程,并建立了随机态点蚀损伤圆管截面的有限元分析模型;设计了三个受不同腐蚀深度点蚀损伤的圆管构件,并开展轴压试验,利用试验结果校验有限元模型的计算精度;在多种腐蚀情形下(点蚀强度和腐蚀深度变化),研究点蚀分布模式变化引起的极限强度退化及其变异性;比较随机分布点蚀模型与传统腐蚀模型(规则分布点蚀和均匀腐蚀)在计算强度和结构失效行为方面的差异。研究结果表明,点蚀的随机分布模式会引起显著的极限强度变异,且蚀坑深度越大,强度变异越大,蚀坑分布造成的强度极差与强度均值相比达到5%;随机分布点蚀相比于传统腐蚀模型,除了引起更为严重的强度削减,还会改变结构的破坏模式。提出的随机点蚀损伤的模拟方法,可替代昂贵的构件试验,应用于评估点蚀损伤圆管截面的极限强度,增强评估结果的可靠性。     

基于压磁效应的锈蚀钢筋应力状态检测试验研究

钢筋锈蚀是严重威胁结构安全的耐久性问题,基于压磁效应,研究均匀锈蚀和坑蚀两种锈蚀钢筋的应力状态与压磁场变化的关系。首先,采用通电加速锈蚀方法进行钢筋均匀锈蚀和点蚀试验;然后,通过轴向拉伸静载试验和疲劳加载试验,分析锈蚀钢筋的压磁信号特征。试验结果显示,磁感强度与钢筋应力状态之间具有较好的对应关系,屈服阶段不同锈蚀率下的钢筋磁感强度曲线有较明显区别,疲劳荷载作用下锈蚀钢筋的法向残余磁感强度和磁滞回环面积均呈现疲劳三阶段变化规律,可进一步运用于钢筋应力状态的检测中。     

局部随机点蚀下圆管截面极限强度退化规律

针对构件外表面局部区域遭受随机点蚀损伤的圆管截面,考虑点蚀随机特性的影响,建立包含点蚀坑细节的精细有限元模型;在多种腐蚀强度下,研究局部腐蚀的点蚀区分布位置(沿轴向和周向分布位置变化)及其形状(点蚀区长度和宽度独立或联合变化)影响轴压极限强度退化的规律;并比较局部随机点蚀与局部均匀腐蚀引起构件极限强度退化的差异。研究结果表明,尽管局部随机点蚀与最大初始几何缺陷的耦合作用会使极限强度的退化趋于严重,但是总体而言点蚀区分布位置变化对圆管极限强度的退化没有显著的影响。此外,同等腐蚀体积和腐蚀面积下,相比于长窄式局部腐蚀,短宽式局部腐蚀会引起更严重的极限强度退化,在严重腐蚀情形下后者导致的强度退化会高出25.5%;相比于局部均匀腐蚀,局部随机点蚀会导致更剧烈的极限强度退化,其不利影响可高出20.7%。     

Ultimate strength assessment of hull structural plate with pitting corrosion damnification under biaxial compression

It is well known that pitting corrosion occurring on surface of hull structural plate will surely result in a significant degradation of the ultimate strength of the hull structural plate. This report aims at development of an assessing formula for ultimate strength of hull plate with pitting corrosion damage under the biaxial in-plane compression loading. The ultimate strength assessment model that is in terms of the corroded volume loss was deduced in theory, and which was then completed through numerical experiment by employing nonlinear finite element analyses for series of corroded plate models. Meanwhile, pitting corrosion in actual ship hull was analyzed and simulated, which ensured that all the assumptions for the finite element model parameters were in accord with the actual hull plate with pitting corrosion damage. Furthermore, the effects of plate slenderness, the linear factors at the plate edges and the ratio between the transverse and the longitudinal in-plane stresses on the ultimate strength reduction related to the corroded volume loss were discussed. The ultimate strength assessment formula being in terms of corroded volume loss developed in this research is expected to be applicable to assess the ultimate strength of the hull structural plate with pitting corrosion damage.     

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…     

基于BP人工神经网络的人工海水侵蚀对混凝土强度影响的试验研究

混凝土受盐害侵蚀破坏直接影响混凝土的强度和耐久性。针对混凝土受盐害侵蚀破坏功能函数不能明确表达及非线性程度高的特点,利用BP人工神经网络进行分析,在大量试验数据基础上,通过计算方法的优化和样本的训练,对隐含层和各隐含单元多次试取,最优选取trainglm训练函数,建立盐害预测的人工神经网络系统。解析结果表明,混凝土试件抗压强度预测值和试验实测值的相对误差较小,建立的人工神经网络模型具有较高的预测精度。     

Structural monitoring of offshore platforms using impulse and relaxation response

Monitoring offshore platforms, long span bridges, high rise buildings, TV towers and other similar structures is essential for ensuring their safety in service. Continuous monitoring assumes even greater significance in the case of offshore platforms, which are highly susceptible to damage due to the corrosive environment and the continuous action of waves. Also, since a major part of the structure is under water and covered by marine growth, even a trained diver cannot easily detect damage in the structure. In the present work, vibration criterion is adopted for structural monitoring of jacket platforms. Artificial excitation of these structures is not always practicable and ambient excitation due to wind and waves may not be sufficient for collecting the required vibration data. Alternate methods can be adopted for the same purpose, for example, the application of an impact or a sudden relaxation of an applied force for exciting the structure. For jacket platforms, impact can be applied by gently pushing the structure at the fender while relaxation can be accomplished by pulling the structure and then suddenly releasing it using a tug or a supply vessel in both cases. The present study is an experimental investigation on a laboratory model of a jacket platform, for exploring the feasibility of adapting vibration responses due to impulse and relaxation, for structural monitoring. Effects of damage in six members of the platform as well as changes in deck masses were studied. A finite element model of the structure was used to analyze all the cases for comparison of the results as well as system identification. A data acquisition and analysis procedure for obtaining the response signatures of the platform due to the impulse and relaxation procedure was also developed for possible adoption in on-line monitoring of offshore platforms. From the study, it has been concluded that both impulse and relaxation responses are useful tools for monitoring offshore jacket platforms. The present work forms the basis for the development of an automated, on-line monitoring system for offshore platforms, using neural networks.     

A Global Refiability Assessment Method on Aging Offshore Platforms with Corrosion and Cracks

Corrosion and fatigue cracks are major threats to the structural integrity of aging offshore platforms.For the rational estimation of the safety levels of aging platforms,a global reliability assessment approach for aging offshore platforms with corrosion and fatigue cracks is presented in this paper.The base shear capacity is taken as the global ultimate strength of the offshore plaffoms,it is modeled as a random process that decreases with time in the presence of corrosion and fatigue crack propagation.And the corrosion and fatigue crack growth rates in the main members and key joints are modeled as random variables.A simulation method of the extreme wave loads which are applied to the structures of offshore platforms is proposed too.Furthermore,the statistics of global base shear capacity and extreme wave loads are obtained by Monte Carlo simulation method.On the basis of the limit state equation of global failure mode,the instantaneous reliability and time dependent reliability assessment methods are both presented in this paper.Finally the instantaueous reliability index and time dependent failure probability of a jacket platform are estimated with different ages in the demonstration example.     

氯盐干湿环境下受弯横向裂缝对钢筋混凝土耐久性影响

为了研究持续开裂状态下横向裂缝对钢筋混凝土结构耐久性的影响特性,开展了8根受弯开裂钢筋混凝土梁构件的盐溶液干湿循环试验;借助无损检测技术和破损实测方法,分别对氯离子侵入量、钢筋半电池电位、腐蚀电流密度以及平均锈蚀率等进行了对比分析。研究结果表明,裂缝的存在将提高混凝土的渗透性,裂缝处及周围混凝土内的氯离子含量明显增大;对于一定裂缝分布状况的钢筋混凝土试验梁,内部钢筋的腐蚀电位、腐蚀电流密度以及平均锈蚀率均高于裂缝自愈及无裂缝的试验梁,并受到保护层厚度与裂缝开展状态的影响,其影响规律可用单位长度内的平均裂缝宽度与保护层厚度的比值wm/c来进行综合评价。综合试验结果,初步建议海洋干湿侵蚀环境下钢筋混凝土构件的最大裂缝宽度wmax宜小于0.003 3 c,相关结论可为海洋混凝土结构的耐久性设计提供参考。     

Force resultants for deep-water wave-excited offshore structures

Concepts are developed which lead to an improved understanding of the characteristics of the wave forces that act on deep-water, jacket-type offshore structures. These concepts are the result of comprehensive examinations of both the inertia and the drag force components of the wave excitation. It is shown that, under conditions which are of practical importance, the resultants of the inertia and drag force components can both be expressed in terms of the motion of the sea surface. Fundamental modal forces which govern fundamental modal responses for offshore structures are also examined, and the relationships between these modal forces and the resultants of the inertia and drag force components are established. The structural response itself is further examined, and valuable information is developed which is believed to be of practical importance.     

Developing a robust SHM method for offshore jacket platform using model updating and fuzzy logic system

Structural monitoring is essential for ensuring the structural safety performance during the service life. The process is of paramount importance in case of the offshore jacket-type platforms due to the underwater structural parts subjected to the marine environmental conditions. This work is an experimental investigation on a laboratory model of a jacket platform with the objective of establishing a baseline finite element (FE) model for long-term structural health monitoring for this type of structures. A robust damage diagnosis system is also developed which is less sensitive to both the measurements and the modeling uncertainties. Experimental vibration tests are conducted on a physical platform model to obtain dynamic characteristics and then, the initial FE-model of the intact structure is developed to determine them numerically. Some differences between numerically and experimentally identified characteristics emerge due to various uncertainties in the FE-model and measured vibration data. To minimize these differences, initial FE-model is updated according to the experimental results. The updated FE-model is employed to predict the changes in the dynamic characteristics under variety of damage scenarios which are imposed by reducing the stiffness at the components of the model. Fuzzy logic system (FLS) and probabilistic analysis is developed for linguistic classification of damage and global damage diagnosis. Incorporation of the FLS fault isolation technique into FE-model updating method are proposed and evaluated for two different FLS methods to develop a vigorous damage diagnosis method. The efficiency of the technique is validated by different damage scenarios foreseen on the physical model. This technique is shown to be effective for diagnosing the presence of degradation and quantify it.     

Seismic Collapse Performance of Jacket Offshore Platforms with Time-Variant Zonal Corrosion Model

Corrosion of offshore platforms is inevitable. In an ocean corrosion environment, the strength of a platform is weakened greatly. When simultaneously subjected to earthquakes or other extreme loads, the ultimate bearing capacity of the corroded platform is dramatically reduced, resulting in compounded damage from both corrosion and earthquake. Thus, the influence of corrosion cannot be neglected in the seismic performance investigation of platforms. The commonly used corrosion model in platform design is uniform corrosion, and the corrosion rate rule for any parts or zones in a platform is the same. In real cases, however, there are significant differences between the corrosion characteristics in different parts of a platform. Based on theoretical aspects and measured data, a zonal time-variant corrosion model of a platform is developed for a seismic collapse performance investigation. The pushover and incremental dynamic analysis (IDA) methods are adopted here to calculate the collapse margin ratio (CMR), there serve strength ratio (RSR) and ductility coefficient (μ) that are frequently used for the safety reserve evaluation of a platform. The failure reason and collapse probability of platforms considering different service periods are compared. The most prominent feature of the proposed time-variant zonal corrosion model is to capture potential switch of weak location and resulting failure path of corroded jacket offshore platforms although the proposed model needs further calibration by more reliable in-field measured data. As expected, corrosion can definitely cause a reduction in earthquake resistance of a jacket offshore platform, as well as ultimate deformability. The coupled effect between the time-variant vibration properties of the platform and the spectral characteristics of selected motions, the collapse-level spectral acceleration (SA) does not always decrease with increasing corrosion degree. The curves corresponding to normalized CMR and RSR agree very well with each other in the early corrosion development stage and service period beyond 30 years. Some distinct differences can be found during the two stages, with the greatest difference up to 10% for the example platform.     

基于小波分析的海洋平台实时结构健康监测

由于海洋平台结构长期处于恶劣的海洋环境中,并受到各种载荷的交互作用,结构容易产生各种形式的损伤。因此,对海洋平台进行实时监测有着十分重要的现实意义。以单筒简易导管架平台为例,主要在结构损伤的判定和定位两方面对海洋平台的实时结构健康监测进行研究,结果表明通过对结构响应信号进行小波分析,小波变换系数和小波包能量分布可以很好地定义损伤识别指标。     

Inverse vibration technique for structural health monitoring of offshore jacket platforms

In this paper a new approach is introduced for structural health monitoring of offshore jacket platforms. The procedure uses the measured ambient vibration responses and the corresponding readable natural frequencies and mode shapes of the structural system. Since offshore platforms are composed of heavy topsides supported by jacket structures, participation of the first mode is dominant in each direction in the response of the structure under field excitations. Moreover, ambient vibrations such as wave loads and boat impacts only excite the first modes of the structure. Therefore, it is difficult to find higher modes and the pertinent frequencies by use of accelerometers data. The introduced innovative method in this research uses the first few fundamental frequencies and mode shapes of the structure. The algorithm employs the inverse vibration technique to develop a simple two and three dimensional reference model for monitoring health of the structure. To show the efficiency of the proposed procedure, a case study is carried out on the models of a jacket-type platform in the Persian Gulf, namely SPD2. Finally, an uncertainty analysis is performed, due to the existence of noises and uncertainties in input data collected by accelerometers. Results indicate that the proposed method has the ability to detect the induced damages by a high level of accuracy considering probable sources of error.     

Mechanical test study on corroded marine high performance steel under cyclic loading

It is inevitable that marine structures suffer from corrosion and extreme cyclic loading. In order to study the influence of corrosion damage and cumulative fatigue damage on mechanical properties of marine steel, high performance steel NV-D36 was analyzed under electrochemical corrosion and cyclic loading. It was found that corrosion damage can reduce the elastic modulus, yield strength, ultimate stress and ultimate strain of steel NV-D36. And it was also found that cumulative fatigue damage will increase the ultimate stress of steel NV-D36 and reduce the ultimate strain of steel NV-D36. The effect of double damage on mechanical properties of steel NV-D36 was coupled with these two kinds of damage. The Chaboche model parameters calibrated under incremental cyclic loading scheme can exactly describe the stiffness and peak stress of steel NV-D36.     

Artificial neural networks and their application to assessment of ultimate strength of plates with pitting corrosion

The potential for the structural capability degrading effects of both corrosion and fatigue induced cracks are of profound importance and must be both fully understood and reflected in vessel's inspection and maintenance programme. Corrosion has been studied and quantified by many researchers, however its effect on structural integrity is still subject to uncertainty, particularly with regards to localized corrosion. The present study is focused on assessing the effects of localized pitting corrosion on the ultimate strength of unstiffened plates. Over 265 non-linear finite-element analyses of panels with various locations and sizes of pitting corrosion have been carried out. The results indicate that the length, breadth and depth of pit corrosion have weakening effects on the ultimate strength of the plates while plate slenderness has only marginal effect on strength reduction. Transverse location of pit corrosion is also an important factor determining the amount of strength reduction. When corrosion spreads transversely on both edges, it has the most deteriorating effect on strength. In addition, artificial neural network (ANN) method is applied to derive a formula to predict ultimate strength reduction of locally corroded plates. It is found out that the proposed formulae can accurately predict the ultimate strength of locally corroded plates under uniaxial in-plane compression.