非线性时间序列分析的最新进展及其在地球科学中的应用前景

评述了非线性时间序列分析的最新进展,包括相空间重构、序列性质的鉴别、建模与预报,同时介绍了非线性时间序列分析在地球科学中的应用概况。     

GPS动态定位中机动随机模型分析

给出了载体状态方程的严密公式和常用近似公式,详细讨论了两者之间的区别。在高精度ＧＰＳ动态定位中的应用证明,常用近似公式对载体速度和加速度有显著的影响。     

浅论不同应力状态下坝基层间剪切带弹性力学性质

本文以万家寨水利枢纽坝基Ｓｃｊ０８层间剪切带声波测试资料为依据,论述了不同应力状态下、剪切带弹性力学性质变化过程和机理,其成果对坝基施工过程控制和基础稳定性分析具有一定指导意义。     

加速遗传算法在地下水位动态分析中的应用

提出了一种改进的遗传算法－加速遗传算法,分析了它的原理,控制参数的设置,收敛性,全局优化性能和适用性,并把它成苗地应用于地下水位动态分析中。     

原生动物纤毛虫对太湖梅梁湾水质富营养化的响应

１９９３年４月－１９９４年１月研究了太湖梅梁湾湖区纤毛虫的群落分布,共检出７目１９属,根据ＴＳＩ指标,该湖区可分为富营养型和中营养型水域,在富营养型水域中分布着特有的纤毛虫种类。     

湖泊富营养化综合评价方法

从对湖泊富营养化评价的一般方法入手,综述了国内外有关湖泊富养化综合评价的一些方法,提出：营养状态指数法由于可对湖泊营养状态进行连续的数值化的分级,从而为湖泊富营养化机理的定量研究提供了坚实的基础,应是今后湖泊富营养化评价中的主要方法。     

13C示踪技术在利玛原甲藻中腹泻性贝毒合成研究的应用

选取具有显著产毒差异的利玛原甲藻(Prorocentrum lima) SHG株与2XS株为研究对象,以2-¹³C-甘氨酸为示踪原料结合高分辨质谱方法,为腹泻性贝类毒素及其酯化态毒素合成与代谢途径的研究提供新方法和思路。结果表明,两株藻共发现16种腹泻性贝毒及其酯化态毒素成分。对照培养条件下SHG株(大田软海绵酸毒素含量为7.88 pg/cell,鳍藻毒素1含量为4.35 pg/cell)的产毒能力高于2XS株(大田软海绵酸毒素5.70pg/cell),而甘氨酸作为氮源培养条件可显著提高两株藻的产毒总量(P<0.05)。¹³C-甘氨酸标记组与甘氨酸培养组单细胞产毒量无显著变化(P>0.05)。腹泻性贝毒被标记后其同位素异构体丰度发生变化,其中酯化态受¹³C标记的影响程度更高,二级质谱图清晰表示出其碎片离子及脱水峰的标记情况。该方法直观阐明了甘氨酸可作为P. lima标记原料的产毒供体,并使用稳定同位素标记方法首次实现了酯化态的同步标记,有助于腹泻性贝毒生成机制的进一步研究。     

台风海况下半潜式钻井平台动力性能监测与分析

半潜式钻井平台在海洋油气资源开发中发挥着重要作用,目前主要采用模型试验和数值模拟方法对其动力性能进行研究,非常缺乏台风等极端海况下半潜式平台动力响应的实海域监测数据。以某半潜式钻井平台为研究对象,构建了一套比较完善的平台动力性能监测系统,并对台风“杜苏芮”过境阶段的监测数据进行了分析。根据平台艏部气隙及运动监测数据推算了平台吃水及环境波高;采用随机波浪的统计分析方法,计算得到短期海况的有效波高、谱峰周期、能量谱等信息,通过与多种典型海浪谱对比发现Jonswap谱与所测波谱吻合较好;对平台的横摇、纵摇及垂荡运动进行了时域统计分析和频域谱分析,得到了台风海况下被测平台波频运动的实际响应特征,对于指导平台抗台作业具有重要意义。     

A rational method for development of limit state for liquefaction evaluation based on shear wave velocity measurements

This papers presents a new approach for developing a limit state for liquefaction evaluation based on field performance data. As an example to illustrate the new approach, a database that consists of, among many other features, in situ shear wave velocity measurements and field observations of liquefaction/non‐liquefaction in historic earthquakes is analysed. This database is first used to train a neural network to classify liquefaction/non‐liquefaction based on soil resistance parameters and load parameters. The successfully trained and tested neural network is then used to establish a limit state, a multiple dimension boundary that separates ‘zone’ of liquefaction from ‘zone’ of non‐liquefaction. The limit state yields cyclic resistance ratio for a given set of soil resistance parameters. Examination of all cases in the database show that the developed limit state has a high degree of accuracy in predicting the occurrence of liquefaction/non‐liquefaction. The developed neural network model can accurately predict the cyclic resistance ratio of soils. Copyright © 2000 John Wiley & Sons, Ltd.     

Implementation of DSC model and application for analysis of field pile tests under cyclic loading

The disturbed state concept (DSC) model, and a new and simplified procedure for unloading and reloading behavior are implemented in a nonlinear finite element procedure for dynamic analysis for coupled response of saturated porous materials. The DSC model is used to characterize the cyclic behavior of saturated clays and clay–steel interfaces. In the DSC, the relative intact (RI) behavior is characterized by using the hierarchical single surface (HISS) plasticity model; and the fully adjusted (FA) behavior is modeled by using the critical state concept. The DSC model is validated with respect to laboratory triaxial tests for clay and shear tests for clay‐steel interfaces. The computer procedure is used to predict field behavior of an instrumented pile subjected to cyclic loading. The predictions provide very good correlation with the field data. They also yield improved results compared to those from a HISS model with anisotropic hardening, partly because the DSC model allows for degradation or softening and interface response. Copyright © 2000 John Wiley & Sons, Ltd.