环境激励下海上风电结构模态参数识别

针对海上风电结构,研究了环境激励下海上风电结构的模态参数识别问题。采用了一种时域联合算法:自然激励法(Natural Excitation Technique,简称NExT)和多参考点复指数法(Polyreference Complex Exponential,简称PRCE)的结合(简称NExT/PRCE方法)对海上风电结构的模态参数进行识别。对某三脚架式海上风电结构进行数值模拟,考虑了风电结构的实际操作工况,对结构施加了随机波浪荷载和风机载荷。利用动力响应数据进行了环境激励下风电整体结构模态参数识别,采用了稳定图与模态置信准则进行了虚假模态的剔除,并分析了NExT中参考通道选取对于模态参数识别效果的影响。通过与有限元模型模态参数比较,验证了NExT/PRCE方法对于风电结构参数识别的有效性。     

海洋平台结构模态参数识别的仿真研究

将特征系统实现法(ERA)与CBSI算法相结合识别海洋平台结构的模态参数(固有频率,阻尼比,振型),利用有限的加速度信号进行结构模态参数识别。海洋平台结构数值模型模拟的动力响应信号用于参数识别。所识别出的海洋平台模态参数与有限元ANSYS分析所得的结果相比较,表明运用本文所提出的方法进行模态参数识别是有效的。     

环境激励下高桩码头模态参数识别及损伤诊断

高桩码头在长期使用过程中结构损伤是普遍存在的问题,有效检测结构损伤特别是隐蔽性部位对保证码头安全运营具有重要作用。利用NExT-ERA模态参数识别算法和模态应变能损伤定位原理,编制模态参数识别和损伤诊断程序。通过数值算例分析,验证环境激励下高桩码头排架基于模态参数识别及模态应变能进行损伤诊断的可行性和准确性。研究结果表明:NExT-ERA模态识别方法能较精确识别出高桩码头排架的动力参数;模态应变能变化率作为损伤诊断指标对损伤单元有较强的敏感性,能够识别出高桩码头不同工况下的损伤。     

振动模态分析法在单立柱海洋平台上应用

提出联合经验模态分解和二次时频分布的参数识别方法.将结构的响应信号用经验模态分解的方法分解为单频率响应的振动信号,进而计算模态频率和模态阻尼,用Choi-Williams分布计算模态振型.对单立柱海洋平台的计算表明,该方法能比较理想地识别出结构的模态参数,且具有较强的抗噪能力.     

特征系统实现算法中的噪声问题研究

研究特征系统实现算法在模态识别过程中的噪声处理问题。特征系统实现算法为目前土木工程领域应用较为广泛的一种模态识别法。在处理实测数据时,特征系统实现算法将实测数据分解为结构真实信号和噪声信号,从而将噪声消除。分块Hankel矩阵的维数对信噪分离过程影响很大。提出当分块Hankel矩阵的分块行与分块列数接近时,真实和噪声信号可以最好的分离。通过在实测信号里添加噪声(产生噪声-噪声信号),将实测信号和噪声-噪声信号识别的结果进行比较,提出了1种验证识别模态参数是否为结构真实模态的检验方法。本文应用导管架平台实例来验证提出方法的适用性。结果表明,当分块Hankel矩阵的分块行与分块列数接近时,真实和噪声信号能够有效地分离,此时添加的噪声主要影响噪声信号部分。由实测信号和噪声-噪声信号识别的模态参数非常吻合。     

基于实测数据的海上风电结构动力响应分析

地震是危害海上风电结构作业安全的重要环境因素,目前,国内尚未公开发表真实地震响应下,海上风电结构的实测动力响应数据。分析了某地震活动区海上风电结构的实测地震响应,采用随机子空间识别方法进行风机的模态识别,阐述了风机机舱偏航将引起前后、左右两个正交方向振动的耦合,并从理论上证明了利用耦合、解耦数据识别模态参数的差异。结果表明：1）耦合与解耦信号识别的频率、阻尼比完全相同,而耦合信号识别的模态振型与偏航角有关;2）地震作用会对结构产生巨大冲击;3）非地震作用下,风机塔筒前后、左右第一阶弯曲模态为主要模态,地震作用可以激发风机的高阶模态,使得塔筒中上部而不是顶部的振动响应最大。此分析对地震活动区海上风电结构的抗震设计具有一定的参考价值。     

特征系统实现算法中的噪声问题研究

研究特征系统实现算法在模态识别过程中的噪声处理问题.特征系统实现算法为目前土木工程领域应用较为广泛的一种模态识别法.在处理实测数据时,特征系统实现算法将实测数据分解为结构真实信号和噪声信号,从而将噪声消除.分块Hankel矩阵的维数对信噪分离过程影响很大.提出当分块Hankel矩阵的分块行与分块列数接近时,真实和噪声信号可以最好的分离.通过在实测信号里添加噪声(产生噪声-噪声信号),将实测信号和噪声—噪声信号识别的结果进行比较,提出了1种验证识别模态参数是否为结构真实模态的检验方法.本文应用导管架平台实例来验证提出方法的适用性.结果表明,当分块Hankel矩阵的分块行与分块列数接近时,真实和噪声信号能够有效地分离,此时添加的噪声主要影响噪声信号部分.由实测信号和噪声噪声信号识别的模态参数非常吻合.     

浅海导管架平台结构损伤诊断试验研究

基于模型试验研究了浅海导管架平台的结构损伤诊断,采用标量型ARMA模型识别出结构的三阶模态参数,分别采用遗传算法和模态应变能法对试验模型不同模拟损伤工况进行了损伤诊断。基于遗传算法,提出了采用不同自由度一阶模态参数的损伤诊断方法。研究表明,由于海洋平台的前三阶模态分别为不同自由度的一阶模态,采用两阶或三阶模态识别损伤时,损伤杆件影响较小的自由度方向的模态参数对结构的损伤诊断将产生不利的影响,成为识别噪声。因此,可分别采用不同自由度的一阶模态进行结构损伤诊断。     

波浪作用下海洋石油井架模态参数识别与承载力评价

提出基于试验模态参数识别和优化算法修改动力有限元模型的海洋石油井架安全承载能力评价方法.推导基于波浪脉动的试验模态参数识别公式,介绍有限元模型动力修正的一阶优化方法.以海洋随机波浪脉动作为激励,对勘探三号海洋石油井架进行了现场模态试验,识别出前二阶固有频率.以此作为有限元模型修正的基础,应用一阶搜索优化算法,对动力有限元模型进行了修正,结果表明:该修正模型比较准确反映了井架目前的结构状态,能够用于进一步的静、动力分析和安全承载能力评价.     

太平洋中的主要起伏模态

对海洋中起伏运动(heaving)信号的时空分布研究能够帮助我们更好地了解气候系统中的年际和年代际变率。文章通过再分析资料和模式对太平洋区域的heaving主要模态进行了研究。研究结果表明: 太平洋区域主要存在两种heaving模态: 第一模态主要表现为赤道东西两侧的温跃层异常信号反位相; 第二模态表现为赤道区域和副热带区域的温跃层异常信号呈现反位相变化的规律。本文对这两个主要heaving模态所涉及的物理过程进行详细讨论, 结果表明: 东西反位相模态主要是受赤道波动调节的结果; 而经向结构模态则主要是由赤道地区的波动和副热带区域的风应力旋度异常作用共同导致。此外, 我们还讨论了heaving模态可以通过海洋波动以及Ekman输送等过程对海盆尺度的热输送(振幅约为5×10¹⁴W)以及海洋热含量(振幅约为1.5×10²⁰J)的再分配起到了关键的调制作用, 进一步表明heaving模态对全球气候变化有着重要的作用。     

Reliability Analysis for Offshore Platform Structural Systems

A system reliability estimation method for spatial jacket platforms is developed in this paper,The jacket platform is modeled into three-dimensional assembly of spatial beam and plate elements in Fi-nite Element Method(FEM).The limit failure states correspond to collapse of a series of structural mem-bers which are identified by engineering design criteria.In this paper the following aspects are taken intoaccount:the punching shear and buckiing failures in member failure modes for the tubular joints and tubu-lar columns respectively;incremental loading approach for establishment of the safety margin equations ofsystem failure;the algorithm of enumerating significant failure modes for the structural systems and otherconcepts,such as the false failure mode and the virtual limit state.The final work is devoted to the reliabili-ty analysis for a practical jacket platform presently put into operation on the Bohai Sea.The computed re-sults shows that method suggested in this paper is feasible and effective for     

调谐质量阻尼器对海洋平台的减振效果分析

目前调谐质量阻尼器(TMD)的研究和设计多数是依据结构的第一阶模态进行的,忽略了TMD对结构其它模态的影响。为了明确TMD是否会对结构的高阶模态造成不利的影响以及影响的程度,论文采用模态分析法将海洋平台-TMD系统进行模态分解,推导出系统各阶模态的状态空间方程。并以一海洋平台为算例,讨论TMD针对结构的某一摸态进行设计时对各阶模态响应的减振效果,仿真的结果表明TMD对设计的模态有较好的减振效果,但对平台的其它模态响应的减振幅度有限,甚至产生不利影响,使某些模态的振动响应增幅较大。     

Weak-mode identification and time-series reconstruction from high-level noisy measured data of offshore structures

The identification of true weak modes buried in high-level, noisy, measured data from offshore structures is a practical but challenging problem because weak modes are typically eliminated as noise and rarely, yield a discrete time series. This study proposes a weak-mode identification and time-series reconstruction method for offshore structures when high-level noise is present. A theoretical development proposed in this study extends the traditional modal analysis to reconstructing the discrete time series of weak modes, thereby removing its previous limitations to only frequencies, damping ratios and mode shapes. Additionally, a second development proposed in this study makes the reconstructed time series not simply a combination of harmonic components from a Fourier transform but rather complex exponentials; the damping of the test structure is thus estimated with a better accuracy. A third theoretical development avoids variations in the results from different original signals by handling multiple signals simultaneously. The proposed approach primarily includes three steps: (1) estimate the poles and corresponding residues of high-level, noisy, measured data by converting high-order difference equations to first-order difference equations; (2) isolate the poles of weak modes by assigning multiple rough-pole windows, and subsequently extract the corresponding residues based on the row number of the isolated pole vector; and (3) identify and reconstruct the time series of the weak modes of interest in the form of complex exponentials. The most primary advantage of the proposed process in engineering applications is that the pole windows can be easily obtained and assigned from the relationship between the frequencies and their poles. Three numerical examples are studied: the first presents the detailed numerical operation of the proposed method, the second extends the proposed method from managing one signal to managing multiple signals, and the third demonstrates the advantage of the approach compared with traditional methods. The numerical results indicate that the original signals can be decomposed into multiple complex exponentials with representative poles and corresponding residues, and that the new signals representing weak modes could be reconstructed by assigning a range of frequencies in terms of their relations with the poles. To study the performance of the proposed method when applied to offshore structures such as offshore platforms and marine risers, the experimental data from the high mode VIV experiments sponsored by the Norwegian Deepwater Programme (NDP) are used firstly. The results show that two dominant frequencies corresponding to the in-line and cross-flow directions can be identified simultaneously even one mode is very weak compared with the other, and the time series of the weak mode could be reconstructed with a rough frequency window. Then sea-test data of two offshore platforms are used: one was collected from the JZ20-2MUQ offshore platform when it was excited by ice, and the other was collected from the WZ11-4D platform when it was excited by waves. The results further demonstrated that a large model order is required to estimate all poles and residues of the original noisy signals, and that the row number corresponding to a weak mode of the isolated pole matrix could be easily determined via finite element analysis or engineering experiences. Therefore, the proposed approach provides not only modal parameters, such as frequencies and damping ratios of true weak modes buried in high-level noise, but also the discrete time series of the weak mode.     

Single point mooring system modal parameter identification based on empirical mode decomposition and time-varying autoregressive model

A method based on empirical mode decomposition (EMD) and time-varying autoregressive (TVAR) model is proposed here to identify the modal parameters of time-varying systems, such as the Floating Production Storage and Offloading (FPSO) single point mooring system. For the EMD–TVAR method, the original signal is decomposed into a finite number of ‘intrinsic mode functions’ (IMFs) by the EMD. Each IMF can be represented as a TVAR model. Then, the time-varying modal parameters i.e., instantaneous frequency (IF) and modal dumping, can be obtained by the basis functions expansion method. The proposed EMD–TVAR method has good results in two experiments compared with the Huang–Hilbert transformation and Short Time Fourier Transform method, and it has been used to analysis the modal parameters of FPSO single point mooring system successfully. The system's time-varying characteristic and its frequency distribution can be known from the modal analysis results.     

利用消去刚度法进行剪切型系统物理参数识别

提出了 1种能够比较准确地识别剪切型体系的结构参数 (各层质量和层间刚度 )的方法———消去刚度法。该方法从剪切型结构体系的特征值问题出发 ,利用剪切型结构系统质量矩阵和刚度矩阵的特殊形式 ,通过消去各层的刚度系数 ,得到了结构系统的各层质量比表达式。在结构总质量已知的情况下 ,仅利用系统的任意两阶模态信息就可以确定出各层质量 ,并进而计算出层间刚度 ,实现了结构物理参数的递推识别。数值模拟结果表明 ,该方法识别精度较高 ,便于工程应用 ,可以用于类似结构体系的物理参数的初步估计。     

On natural modes in moonpools with recesses

The theoretical model of Molin [6] is extended to the case of rectangular moonpools with one or two recesses, as can be found in some drillships. Obtained natural frequencies and modal shapes of the piston and first sloshing modes are compared with experimental results available in literature, with good agreement. An approximation easy to implement is proposed for the natural frequency of the piston mode. Further illustrative results are presented when some geometrical parameters of the moonpool are being varied.     

走航测线数据跳点的剔除

跳点普遍存在于重力、磁力、定位、水深等测线数据中。对跳点的处理分两个步骤:先利用改进的经典校验算法剔除大幅度的跳点,再利用信号处理的方法剔除小幅度的跳点。并在小幅度的跳点处理中提出先用小波收缩再用样条拟合的方法,较好地协调了相似性和光滑性,有效地逼近了真实值。     

Deep-water acoustic coherence at long ranges: theoreticalprediction and effects on large-array signal processing

This paper presents results of combined consideration of sound coherence and array signal processing in long-range deep-water environments. Theoretical evaluation of the acoustic signal mutual coherence function (MCF) of space for a given sound-speed profile and particular scattering mechanism is provided. The predictions of the MCF are employed as input data to investigate the coherence-induced effects on the horizontal and vertical array gains associated with linear and quadratic beamformers with emphasis on the optimal ones. A method of the radiation transport equation is developed to calculate the MCF of the multimode signal under the assumption that internal waves or surface wind waves are the main source of long-range acoustic fluctuations in a deep-water channel. Basic formulations of the array weight vectors and small signal deflection are then exploited to examine optimal linear and quadratic processors in comparison with plane-wave beamformers. For vertical arrays, particular attention is paid also to evaluation of the ambient modal noise factor. The numerical simulations are carried out for range-independent environments from the Northwest Pacific for a sound frequency of 250 Hz and distances up to 1000 km. It was shown distinctly that both signal coherence degradation and modal noise affect large-array gain, and these effects are substantially dependent on the processing technique used. Rough surface sound scattering was determined to cause the most significant effects     

Modal Parameters Identification of A Real Offshore Platform From the Response Excited by Natural Ice Loading

This paper investigates the possibility of utilizing response from natural ice loading for modal parameter identification of real offshore platforms. The test platform is the JZ20-2 MUQ jacket platform located in the Liaodong Bay, China. A field experiment is carried out in winter season, as the platform is excited by floating ices. The feasibility is demonstrated by the acceleration response of two different segments. By the SSI-data method, the modal frequencies and damping ratios of four structural modes can be successfully identified from both segments.The estimated information from both segments is almost identical, which demonstrates that the modal identification is trustworthy. Furthermore, by taking the Jacket platform as a benchmark, the numerical performance of five popular time-domain EMA methods is systematically compared from different viewpoints. The comparisons are categorized as:(1) stochastic methods versus deterministic methods;(2) high-order methods versus low-order methods;(3) data-driven versus covariance-driven stochastic subspace identification methods.     

Optimum design and global analysis of flexible jumper for an innovative subsurface production system in ultra-deep water

The study focuses on the flexible jumper issue of Subsurface Tension Leg Production （STLP） system concept, which is considered as a competing alternative system to support well completion devices and rigid risers in ultra-deep water for offshore petroleum production. The paper presents analytical and numerical approaches for the optimum design and global analysis of the flexible jumper. Criteria using catenary concept are developed to define the critical length for optimum design. Based on the criteria, detailed hydrodynamic analyses including quasi-static analysis, modal analysis, and dynamic analysis are performed. Modal analysis with respect to the quasi-static analysis shows that the existence of resonant modes requires special consideration. The results of dynamic analysis confirm the effectiveness of the de-coupled effect from the jumper on STLP system. The approaches developed in the study also have wide application prospect in reference to the optimum design and analysis of any Hybrid Riser （HR） concept.