海洋石油平台TMD振动控制及参数优化

研究了随机波浪载荷作用下调谐质量阻尼器（ＴＭＤ）对桩基钢结构海洋平台的减振效果,采用谱分析法对ＴＭＤ参数进行优化,优化ＴＭＤ 使平台的位移响应标准偏差比无ＴＭＤ下降１２．４％ 。并研究了ＴＭＤ参数在优化域内的失调对响应的影响,ＴＭＤ刚度失调比阻尼失调要敏感,欠阻尼失调比过阻尼失调要敏感。从振害累积概念出发,对谐激励下ＳＤＯＦ－ ＴＭＤ的Ｒａｎｄａｌｌ参数优化方法提出了改进。     

EMD方法和Hilbert谱分析法的应用与探讨

利用EMD方法对海浪观测资料进行处理 ,通过在数据两端的“平衡位置”处分别附加平行直线段的方法进行端点抑制 ,分解出 1 0个内在模函数和 1个剩余趋势项 ,再对各内在模函数进行Hilbert变换 ,得到波浪的Hilbert谱。对所得结果的分析表明 ,各模态在Hilbert谱中的分布趋势和Fourier谱中谱线的变化趋势是一致的 ,第一模态的中心频率与Fourier谱的谱峰频率相对应 ;EMD方法是对非线性、非平稳过程数据进行距平化的好方法 ,距平化的过程和消除趋势项的处理是统一的。     

转角阻尼器对海洋平台-摇摆墙体系抗振分析

在海洋平台摇摆墙体系基础上,提出在海洋平台和摇摆墙之间刚性连接杆的铰接点处安装粘弹性转角阻尼器的减振措施,对海洋平台进行进一步减振控制。对粘弹性转角位移阻尼器的刚度和阻尼参数进行了优化分析,可知阻尼器的阻尼与刚度在结构减振中起到了十分重要的作用,且存在特定范围内的优化值。以JZ20-2北高点井口平台为例,利用ANSYS进行地震荷载作用和实测挤压冰荷载下的仿真分析,研究了粘弹性转角阻尼器在海洋平台和摇摆墙之间刚性连接杆铰接点处的不同安装方式,对比分析减振效果。结果表明,在该体系刚性连接杆的铰接点处安装粘弹性转角阻尼器能显著降低结构的振动反应,连接杆右侧安装粘弹性转角阻尼器的方式为减振效果最佳方式。     

Stokes波的谱特性分析

应用理论推导及数值计算方法，对Stokes随机波的谱特性进行了分析。首先将波面方程，海水质点水平速度用一阶波面分量的非线性组合表示，应用平稳随机高阶短的降阶计算法则，得到了波面方程及海水质点水平速度与一阶波面分量的自相关函数之间的关系，从而确定了Stokes随机波浪的波浪谱密度及海水质点水平速度和加速度谱密度，进而求得有关波浪要素的均方根值。文章还应有数值计算方法，分析了波浪基本参数对均方根值的影响。     

海浪过程平稳性的一种检验方法

一、问题的提出自Tayfun等将Priestley提出的非平稳随机过程的谱理论及其用滤波技术进行谱估计的方法应用到非平稳波场中来之后,非平稳海浪过程的谱估计技术已基本得到解决。文献[2]在Priestley和Tayfun等研究的基础上,提出了以成长风浪谱为依时谱的理论,较严格地阐明了谱宽度参量B_f(t,ω)和B_o(t,ω)的变化规律,使非平稳海浪过程谱估计在理论上更加完善;在应用上提出了对成长风浪谱进行优选的判     

作用于平台桩腿的海冰屈曲破坏冰压力随机过程模型及其参数确定

冰对结构的作用过程是典型的随机过程。本文在冰压力过程为平稳过程的假设下，从渤海海冰对平台桩腿作用的大量实测冰压力数据中，选取了２１条冰屈曲破坏时的冰压力时程曲线，对它们进行谱分析后，得到了单点冰屈曲破坏的压力随机过程的谱密度，并确定了谱参数及其跟环境要素的关系，依据文献［１］中冰压力沿圆柱面的空间分布，建立了绕桩腿的冰压力随机场模型，并得到了作用于桩腿的总冰力随机过程及其谱密度。本文的研究成果为平台结构冰激随机振动和疲劳累积损伤分析提供了荷载基础     

渤海及黄海北部年极值水厚概率分布的统计分析

采用渤海及黄海北部后报３０ａ最大冰厚样本序列,采用平稳二项随机过程模型和组合概率分析方法,统计得到年最大冰厚概率分布,估计了模型参数,并推算了不同重现期的极值最,推算结果表明,该模型较好地刻划了该海域年最大冰厚的概率特性,为渤海海域平台结构设计和可靠性分析提供了重要的荷载基础。     

渤海及黄海北部年极值冰厚概率分布的统计分析

采用渤海及黄海北部后报30a最大冰厚样本序列,采用平稳二项随机过程模型和组合概率分析方法,统计得到了年最大冰厚概率分布,估计了模型参数,并推算了不同重现期的极值冰厚.推算结果表明,该模型较好地刻划了该海域年最大冰厚的概率特性,为渤海海域平台结构设计和可靠性分析提供了重要的荷载基础.     

EMD方法和Hilbert谱分析法的应用与探讨

利用EMD方法对海浪观测资料进行处理，通过在数据两端的“平衡位置”处分别附加平行直线段的方法进行端点抑制，分解出10个内在模函数和1个剩余趋势项，再对各内在模函数进行Hilbert变换，得到波浪的Hilbert谱，对所得结果的分析表明，各模态在Hilbert谱中的分布趋势和Fourier谱中谱线的变化趋势是一致的，第一模态的中心频率与Fourier谱的谱峰频率相对应；EMD方法是对非线性，非平稳过程数据进行距平化的好方法，距平化的过程和消除趋势项的处理是统一的。     

条件随机过程的概念与过程间的回归

作为随机变量条件分布概念的直接推广,文中对于随机过程提出了条件随机过程的概念,并导出了所定义的条件随机过程的某些性质。特别,作为和随机变量的条件数学期望和条件方差相对应,对于平稳正态过程给出了条件数学期望和条件谱密度的表达式。以过程的条件数学期望为基础,对过程与过程间的回归概念作了定义,对平稳正态过程导出了回归过程的表达式,给出了度量过程间线性关系密切程度的指标函数。     

Optimal Design of TMD Under Long-Term Nonstationary Wave Loading

—Traditionally,the use of a tuned mass damper(TMD)is to improve the surviability of the pri-mary structure under extraordinary loading environment while the design loading condition is describedby either a harmonic function or a stationary random process that can be fully characterized by a powerspectral density(PSD)function.Aiming at prolonging the fatigue life of an offshore platform,this studyconsiders an optimal design of TMD for the platform under long-term nonstationary loading due tolong-term random sea waves characterized by a probabilistic power spectral density(PPSD)function.Inprinciple,a PPSD could be derived based on numerous ordinary PSD functions;and each of them is treat-ed as realization of the corresponding PPSD.This study provides a theoretical development for theoptimal TMD design by minimizing the cost function to be the mean square value of the expectedlong-term response.A numerical example is presented to illustrate the developed design procedure.     

Energy Anaiysis for TMD-Structure Systems Subjected to Impact Loading

This paper investigates the characteristics of reduction of the lateral vibration by use of a Tuned Mass Damper (TMD) for offshore jacket platforms under impact loading. Unlike traditional analysis, the present analysis focuses on the energy concept of TMD/structure systems. In this study, a time domain is taken. The platform is modeled as a simplified single-degree-of-freedom (SDOF) system by extraction of the first vibration mode of the structure and the excited force is assumed to be impact loading. The energy dissipation and energy transmission of the structure-TMD system are studied. Finally, an optimized TMD design for the modeled platform is demonstrated based on a new type of cost function - maxi-mum dissipated energy by TMD. Results indicate that TMD control is effective in reducing the Standard deviation of the deck motion but less effective in reducing the maximum response under impact loading.     

Energy Analysis for TMD-Structure Systems Subjected to Impact Loading

This paper investigates the characteristics of reduction of the lateral vibration by use of a Tuned Mass Damper(TMD) for offshore jacket platforms under impact loading. Unlike traditional analysis, the present analysis focnses on theenergy concept of TMD/structure systems. In this study, a time domain is taken. The platform is modeled as a simplifiedsingle-degree-of-freedom (SDOF) system by extraction of the first vibration mode of the structure and the excited force isassumed to be impact loading. The energy dissipation and energy transmission of the structure-TMD system are studied.Finally, an optimized TMD design for the modeled platform is demonstrated based on a new type of cost function - maxi-mum dissipated energy by TMD. Results indicate that TMD control is effective in reducing the standard deviation of thedeck motion but less effective in reducing the maximum response under impact loading.     

The Optimal Design of TMD for Offshore Structures

This paper presents the optimal design procedure of Tuned Mass Damper(TMD)for re-ducing vibration of an actual steel jacket offshore platform excited by random wave loading.In this study,a frequency domain is taken.The force on the structure is determined by use of the linearized Morisonequation for an input Power Spectral Density(PSD)of wave elevation.The sensitivity of optimum valuesof TMD to characteristic parameters of random wave spectrum is analyzed.An optimized TMD designfor the modeled platform is given based on design conditions and the findings of the study.     

Wigner/cycle spectrum analysis of spread spectrum and diversitytransmissions

A high-resolution t-ω estimator, termed the Wigner distribution (WD), is shown to form a sound basis for representing nonstationary acoustic returns. Signal returns are modeled as the output of a time-variant random filter where the WD of the nonstationary signal return defines a random process whose expectation reduces to the instantaneous power spectral density defined for dispersive communication channels. From the WD, a set of relations describing time-variant channel effects on spread-spectrum and diversity transmissions are developed. These relations are shown to be useful in comparing spreading techniques under differing channel conditions and for estimating channel-imposed bounds on the spreading parameters required for effective transmission. A mapping from the Wigner distribution to the cycle spectrum is shown to produce cyclic correlations characteristic of the modulation rate. The WD-based formulation is applied to an example of spread-spectrum transmission through a reverberation-limited channel     

Vibration Control of Multi-Tuned Mass Dampers for An Offshore Oil Platform

The purpose of this study is to investigate the effectiveness of multi-tuned mass dampers (MTMD) on mitigating vi-bration of an offshore oil platform subjected to ocean wave loading. An optimal design method is used to determine the optimal damper parameters under ocean wave loading. The force on the structure is determined by use of the linearized Morison equation. Investigation on the deck motion with and vvithout MTMD on the structure is made under design condi-tions. The results show that MTMD with the optimized parameters suppress the response of each structural mode. The sensitivity of optimum values of MTMD to characteristic wave parameters is also analyzed. it is indicated that a single TMD on the deck of a platform can have the best performance, and the small the damping value of TMD, the betler the vibration control.     

Over time and space changing characteristics of estuarine suspended particles in the German Weser and Elbe estuaries

Fine cohesive, suspended sediments appear in all estuarine environments in a predominately flocculated state. The transport and deposition of these flocs is influenced by their in-situ and primary particle size distribution. Especially the size of the inorganic particles influences the density and hence the settling velocity of the flocculated material. To describe both the changes in primary particle size of suspended particulate matter as well as the variability of floc sizes over time and space, the data of In-Situ Particle-Size Distributions (ISPSDs), Primary Particle Size Distributions (PPSDs) and Suspended Sediment Concentrations (SSCs) were collected. For this, Laser In-Situ Scattering and Transmissiometry (LISST) measurements as well as the water samples were collected in the German Elbe and Weser estuaries, covering seasonal variability of the SSC.The data of the ISPSDs show that the inorganic and organic Suspended Particulate Matter (SPM), as found in the Elbe and Weser estuaries, mostly appears in a flocculated state. The substrate for organic matter is mainly imported from the seaside and transported into the estuaries as indicated by an upstream decrease of the amount of fine particles. In winter, when the freshwater discharge is high, different PPSDs are found in the case of the Elbe estuary in the Turbidity Maximum Zone (TMZ) as well as in the landward and in the seaward sections close to the TMZ. In summer, the distance between the seaward and the landward section is too low to obtain an individual PPSD within the Elbe TMZ.A missing correlation between the PPSD and ISPSD shows that the inorganic constituents do not have an influence on the in-situ floc size. Although flocs aggregate and disaggregate over a tidal cycle and with changing SSC, they do not change their PPSD. The microflocs are therefore strong enough to withstand further breakage into their inorganic constituents.     

Design of periodic signals using FM sweeps and amplitude modulationfor ocean acoustic travel-time measurements

A design procedure for an amplitude-modulated and nonlinear frequency-modulated (AM-NLFM) signal is introduced. The designed signal can drive a given transducer to its peak power to produce a sound pressure waveform into the water with a desired power spectrum and maximum possible energy. The signal can be formed either in the time domain or in the frequency domain. The frequency domain approach gives an output power spectrum precisely identical to a preferred shape. Therefore, the sidelobe levels after matched filtering are not raised by unwanted spectral magnitude ripples which exist when a time domain method is adopted. The absence of spectral ripples is desirable for applications requiring long range transmission and good multipath discrimination capability. An acceptable tradeoff between time resolution and sidelobe levels is achieved by properly choosing the desired power spectral shape. As the time resolution is usually the most critical specification for precision travel-time measurements, it is shown that by sacrificing some of the transducer's output power capability, a waveform with a considerably wider bandwidth can be transmitted, resulting in a significantly enhanced time resolution. A quasi-steady-state (QSS) approximation is used in the signal design, leading to a manageable and intuitive design procedure     

Acoustic plane-wave scattering from a rough surface over a random fluid medium

Acoustic plane-wave scattering from a rough surface overlying a fluid half-space with a sound-speed distribution subject to a small random variation is considered. Under the assumption that the surface roughness and medium randomness are statistically independent, the scattered field may be derived by first solving for the mean field in the medium, and then incorporating with boundary-perturbation method to obtain the total mean field and the power spectral density of the scattered field. The employed algorithm is compatible to the analysis available in the existing literature so that the formulations are conveniently integrated. The results for the power spectral density have shown that the effects of medium inhomogeneities on the rough surface scattering are limited in a spectral regime where the scattered components have shallow grazing angles. The distribution of the power spectral density over the space is primarily governed by the power spectrum and correlation lengths of the rough surface.     

Use of the kurtosis statistic in the frequency domain as an aid in detecting random signals

Power spectral density estimation is often employed as a method for signal detection. For signals which occur randomly, a frequency domain kurtosis estimate supplements the power spectral density estimate and, in some cases, can be employed to detect their presence. This has been verified from experiments with real data of randomly occurring signals. In order to better understand the detection of randomly occurring signals, sinusoidal and narrow-band Gaussian signals are considered, which when modeled to represent a fading or multipath environment, are received as non-Ganssian in terms of a frequency domain kurtosis estimate. Several fading and muitipath propagation probability density distributions of practical interest are considered, including Rayleigh and log-normal. The model is generalized to handle transient and frequency modulated signals by taking into account the probability of the signal being in a specific frequency range over the total data interval. It is shown that this model produces kurtosis values consistent with real data measurements. The ability of the power spectral density estimate and the frequency domain kurtosis estimate to detect randomly occurring signals, generated from the model, is compared using the deflection criterion. It is shown, for the cases considered, that over a large range of conditions, the power spectral density estimate is a better statistic based on the deflection criterion. However, there is a small range of conditions over which it appears that the frequency domain kurtosis estimate has an advantage. The real data that initiated this analytical investigation are also presented.