长期非平稳荷载调谐质量减振阻尼器优化设计

研究外荷载为长期非平稳随机过程。考虑长期荷载的特性 ,采用 1个概率谱密度函数来反映长期非平稳随机荷载及其特征 ;概率谱密度函数是基于大量的一般谱密度函数的统计特性获得。以延长结构的抗疲劳使用寿命为目标函数 ,提出了调谐质量减振阻尼器的优化设计方法 ,这在实际工程中有着极为广阔的应用前景。本文旨在从理论上发展长期非平稳随机荷载作用下调谐质量减振阻尼器的优化设计方法 ;文中采用长期波浪实测数据 ,给出了 1个数值算例说明整个设计过程。     

构造非平稳运动定量研究的MDD模式制约

利用ＭＤＤ模式得到的连续冷曲线，可以定量地描述地质体的冷却（隆升）过程；采自我国７个不同地区中３８个钾长石ＭＤＤ模式研究结果证明，快速冷却事件存在的普遍性，不同的快速冷却速度可能反映了不同的构造事件；突变因子（δｖｉ）可以定量地描述地质体非平稳运动以及突变程度，并且使得不同地质事件非平稳程度的对比成为可能。     

A nonstationary extreme value distribution for analysing the cessation of karst spring discharge

The effects of climate change and population growth in recent decades are leading us to consider their combined and potentially extreme consequences, particularly regarding hydrological processes, which can be modeled using a generalized extreme value (GEV) distribution. Most of the GEV models were based on a stationary assumption for hydrological processes, in contrast to the nonstationary reality due to climate change and human activities. In this paper, we present the nonstationary generalized extreme value (NSGEV) distribution and use it to investigate the risk of Niangziguan Springs discharge decreasing to zero. Rather than assuming the location, scale, and shape parameters to be constant as one might do for a stationary GEV distribution analysis, the NSGEV approach can reflect the dynamic processes by defining the GEV parameters as functions of time. Because most of the GEV model is designed to evaluate maxima (e.g. flooding, represented by positive numbers), and spring discharge cessation is a ?minima’, we deduced an NSGEV model for minima by applying opposite numbers, i.e. negative instead of positive numbers. The results of the model application to Niangziguan Springs showed that the probability of zero discharge at Niangziguan Springs will be 1/80 in 2025, and 1/10 in 2030. After 2025, the rate of decrease in spring discharge will accelerate, and the probability that Niangziguan Springs will cease flowing will dramatically increase. The NSGEV model is a robust method for analysing karst spring discharge. Copyright © 2013 John Wiley & Sons, Ltd.     

Spectral Estimation of Irregularly Sampled Nonstationary Multidimensional Processes by Time-Varying Periodogram

A multidimensional version of the time varying periodogram has been developed. The estimation method based on the multidimensional time-varying periodogram has been applied to a nonstationary multidimensional storm model. This work proposes that the multidimensional time varying periodogram is capable of estimating nonstationary spectral density functions in space and time.     

气候变化与人类活动联合影响下东江流域非一致性洪水频率

一致性假设一直是洪水频率分析的基本假设条件,但在气候变化与人类活动综合影响下,水文极值序列的一致性假设受到极大挑战。基于此,以东江流域为例,运用GAMLSS模型(广义可加模型),将时间、气候指标(北极涛动AO、北太平洋涛动NPO、太平洋年代际振荡PDO和南方涛动SOI)以及水库指标(Reservoir Index)统一纳入洪水频率分析中,并对东江流域1954―2009年年最大流量序列(AMS)进行频率分析,结果表明:1)龙川、河源和岭下站年最大流量序列均值与时间呈线性关系,方差为常量,而博罗站均值和方差与时间均呈非线性关系;2)水库对各水文站点AMS均值有显著线性影响;3)NPO对各站点AMS均值有显著线性影响,NPO值较高时,东江流域可能面临着较低的洪水风险,在一致性假设前提下,可能高估洪水设计值,反之亦然;而PDO对各站点方差有显著线性(岭下、博罗)/非线性(龙川、河源)影响;4)以时间为协变量构建非一致性模型,研究得出:龙川、河源和岭下3站T年一遇洪水设计值均呈单调下降趋势,博罗站1954―1995年左右洪水设计值呈下降趋势,而在1996―2009年呈上升趋势;以气候与水库为协变量构建非一致性模型,研究表明:龙川、河源和岭下3站T年一遇洪水设计值均因水库影响呈向下跃变;5)以气候和水库为协变量的非一致性模型对洪水频率具有良好的预测能力,为非一致条件下设计洪水的预测提供了新的预测方法。     

Nonstationary time series prediction by incorporating external forces

Almost all climate time series have some degree of nonstationarity due to external forces of the observed system. Therefore, these external forces should be taken into account when reconstructing the climate dy- namics. This paper presents a novel technique in predicting nonstationary time series. The main difference of this new technique from some previous methods is that it incorporates the driving forces in the pre- diction model. To appraise its effectiveness, three prediction experiments were carried out using the data generated from some known classical dynamical models and a climate model with multiple external forces. Experimental results indicate that this technique is able to improve the prediction skill effectively.     

利用二维恒虚警进行非均匀噪声背景下的目标检测

针对高频地波雷达中的非均匀噪声环境及各种干扰源时变的特点,提出构建一种时变白化滤波器。先对非均匀噪声环境进行白化处理,然后在一维恒虚警的基础上,采用一种基于多普勒频率和距离的二维恒虚警处理算法。实验结果表明,利用时变白化滤波进行处理后,再在距离和多普勒频率维同时进行恒虚警检测,可以得到较好的检测结果。     

Analysis of nonstationarity in low flow in the Loess Plateau of China

An approach for nonstationary low‐flow frequency analysis is developed and demonstrated on a dataset from the rivers on the Loess Plateau of China. Nonstationary low‐flow frequency analysis has drawn significant attention in recent years by establishing relationships between low‐flow series and explanatory variables series, but few studies have tested whether the time‐varying moments of low flow can be fully described by the time‐varying moments of the explanatory variables. In this research, the low‐flow distributions are analytically derived from the 2 basic explanatory variables—the recession duration and the recession coefficient—with the assumption that the recession duration and recession coefficient variables follow exponential and gamma distributions, respectively; the derived low‐flow distributions are applied to test whether the time‐varying moments of explanatory variables can explain the nonstationarities found in the low‐flow variable. The effects of ecosystem construction measures, that is, check dam, terrace, forest, and grassland, on the recession duration and recession coefficient are further discussed. Daily flow series from 11 hydrological stations from the Loess Plateau are used and processed with a moving average technique. Low‐flow data are extracted following the pit under threshold approach. Six of the 11 low‐flow series show significant nonstationarities at the 5% significance level, and the trend curves of the moments of low flow are in close agreement with the curves estimated from the derived distribution with time‐dependent moments of the recession duration and time‐constant moments of the recession coefficient. It is indicated that the nonstationarity in the low‐flow distribution results from the nonstationarity in the recession duration in all 6 cases, and the increase in the recession duration is resulted from large‐scale ecosystem constructions rather than climate change. The large‐scale ecosystem constructions are found to have more influence on the decrease in streamflow than on the increase in watershed storage, thus resulting in the reduction of low flow. A high return period for the initial fixed design value decreases dramatically with an increasing recession duration.     

Investigation of the thermal regime and subsurface properties of a tidally affected,variably saturated streambed

Temperature and moisture content in the variably saturated subsurface are two of the most important physical parameters that govern a wide variety of geochemical and ecological processes. An understanding of thermal and hydraulic processes and properties of transient vadose zones is therefore fundamental in the evaluation of such processes. Here, an investigation of the thermal regime and subsurface properties of a tidally affected, variably saturated streambed is presented. Field and laboratory measurements, as well as a forward numerical model, are jointly employed in the investigation. Temperature, soil moisture, surface level, and water level data were recorded in a transect perpendicular to a tidally driven stream. Frequency‐domain analysis of the subsurface temperature measurements revealed the rapid decay of the tidal temperature driver within the top ～30 cm of sediment. Several techniques were used to evaluate subsurface thermal and hydraulic properties, including thermal conductivity and the soil water retention curve. These properties were used to constrain a forward numerical model that included coupled treatment of relevant variable saturation thermal and hydraulic physics. Even though the investigated vadose zone is intermittent and relatively shallow ( 20 cm), the results illustrate how error can be introduced into heat‐transport calculations if unsaturated conditions are not taken into account.     

Elastically supported cantilever beam subjected to nonstationary seismic excitation

The dynamic behaviour of bridge piers under seismic load is studied here in the context of random vibration. The earthquake excitation is modelled as white noise filtered by the Clough–Penzien filter in cascade with modulation accounting for intensity non-stationarity. The bridge pier modelled as an elastically supported cantilever beam witha lumped mass at the top. An analytical solution is presented for the response statistics, which may be used to develop probabilistic seismic response spectra for design. It is found that the first two modes of the pier approach to rigid-body motion when the stiffness of the elastic support decreases. Seismic responses increase with the top mass, resultingin significantly high displacement and shear but negligible moment at the top, and higher shear and moment at thebase. Lower stiffness of the elastic support increases the pier top displacement and moment responses, but may increase or reduce shear responses. The probabilistic spectrum of the relative displacement between the bridge superstructure and the pier top may depend on the two systems’ relative modal properties. © 1998 John Wiley & Sons, Ltd.