Optimal instrumentation of structures on flexible base for system identification

A criterion previously developed by Heredia-Zavoni and Esteva for selecting optimal sensor locations is used to analyse the optimal instrumentation of structures on soft soils. The stochastic response of a linear structural system on a flexible base is formulated for use of the criterion. The case of MDOF shear systems on flexible base, with uncertain lateral stiffness and subjected to random earthquake ground motions, is studied. The optimal location of accelerometers, the reduction of prior uncertainty on the lateral stiffness, the effects of the base flexibility, the relative influence of translation and rocking of the base, and the influence of recording noise are assessed and discussed. Copyright © 1999 John Wiley & Sons, Ltd.     

移动Agent 在集群系统中的应用研究

从任务级的角度，在基于主／从模式的集群系统中引入了移动Agent技术，建立了基于移动Agent的并行计算模型。基于该模型，对移动Agent之间的通信接口、容错机制和负载平衡策略等问题进行了研究。     

梅雨锋上的三类暴雨

利用常规气象观测资料、区域自动站资料、FY-2C云顶亮温（T_BB）资料及NCEP 1°×1°再分析资料,对2015年6月17-18日发生在黔东南地区的典型梅雨锋西段暴雨进行了诊断分析。结果表明（：1）在500 hPa两槽一脊单阻型梅雨形势下,冷空气沿贝加尔湖阻塞高压东侧南下与来自南海、孟加拉湾的暖湿气流在黔东南交汇,500 hPa短波槽东移促使低空切变线东移南压和地面梅雨锋发展,配合200 hPa南亚高压东部脊附近的\     

Elasticity soltion of rupture model of shallow earthquake

Based on the theory of elastic mechanics, and using the typical rupture model of shallow earthquake, the authors considered the shallow earthquake as a plane mechanical problem, which was constructed the corresponding mechanical model. By the stress components' formulas of the semi-infinite model acted by the finite even shearing force, the main stress is deduced. It is clear that the sector on the right of the center section is squeezed zone, where the maximum principal stress points at the "source of stress", and that on the left is tensile zone, where the minimum principal stress points to the "source of stress".     

Bayesian data fusion in a spatial prediction context: a general formulation

In spite of the exponential growth in the amount of data that one may expect to provide greater modeling and predictions opportunities, the number and diversity of sources over which this information is fragmented is growing at an even faster rate. As a consequence, there is real need for methods that aim at reconciling them inside an epistemically sound theoretical framework. In a statistical spatial prediction framework, classical methods are based on a multivariate approach of the problem, at the price of strong modeling hypotheses. Though new avenues have been recently opened by focusing on the integration of uncertain data sources, to the best of our knowledges there have been no systematic attemps to explicitly account for information redundancy through a data fusion procedure. Starting from the simple concept of measurement errors, this paper proposes an approach for integrating multiple information processing as a part of the prediction process itself through a Bayesian approach. A general formulation is first proposed for deriving the prediction distribution of a continuous variable of interest at unsampled locations using on more or less uncertain (soft) information at neighboring locations. The case of multiple information is then considered, with a Bayesian solution to the problem of fusing multiple information that are provided as separate conditional probability distributions. Well-known methods and results are derived as limit cases. The convenient hypothesis of conditional independence is discussed by the light of information theory and maximum entropy principle, and a methodology is suggested for the optimal selection of the most informative subset of information, if needed. Based on a synthetic case study, an application of the methodology is presented and discussed.     

A New Protocol for the Astrometric Follow-up of Near Earth Asteroids

A new protocol was devised to improve the efficiency of astrometric follow-up observations of Near Earth Asteroids for the accurate determination of their orbits. It was implemented in the activities of the Spaceguard Central Node (SCN, a facility of the Spaceguard Foundation, established with the support of the European Space Agency) in the form of a Priority List. Here we describe this protocol and results obtained during five years of activity (2000–2004).     

结构主动控制系统时间滞后测量与补偿方法

本文研究了结构主动控制系统时间滞后产生的原因,利用作者建立的结构主动控制系统进行了系统时间滞后测量方法的研究,测量得到了该系统时间滞后的具体数值,在此基础上,研究了时间滞后对控制系统的影响,提出了结构主动控制系统时间滞后的三种补偿,即移相法,泰勒级数展开法和预估状态向量法,通过主动控制试验证了时间滞后补偿方法的有效性。     

超临界地热资源的地球物理分析——以鲜水河高温水热系统为例

鲜水河高温水热系统位于川西地热区, 是我国重要的水热型地热资源区和高温地热发电工程建设选区, 其深层超临界地热资源可以大幅提高热-功转换效率和地热发电能力, 具有极大的应用价值.超临界地热资源是地热学的全新研究方向, 研究深层超临界地热资源促进地热学拓宽研究领域, 具有重要的科学意义.本文利用地球物理资料、地热地质资料, 对鲜水河高温水热系统超临界水热流体构造条件、有利赋存部位、热结构与热状态开展计算分析.结果表明: 鲜水河断裂带浅源小震群与深层超压热流体层相关, 热泉群串珠状负重力异常圈闭之下超厚沉积地层是赋存深层超临界地热流体储层的有利构造部位; 康定中谷—二道桥—榆林宫热水区的水源补给、热源补给、水热循环通道等地热地质条件优良, 其下方存在酸性岩浆活动, 是形成高温水热系统浅层热储、深层超临界热液区的重要热源条件.我们认为: 鲜水河断裂带是深部热流体上升至浅表产生强烈水热活动的通道, 沿此通道, 在160~250 ℃温度区间, 是鲜水河水热系统地热储层的赋存区域; 在350~400 ℃温度区间, 是深层超临界流体(H2O、CO2)的赋存区域; 随温泉水大量溢出的高浓度CO2地热气体, 伴随出现pH值略小于7的弱酸性热水, 其下方是形成深层超临界地热资源的有利区域.     

外部利润、产权界定与土地资源优化配置——成都市农村土地股份合作制改革的制度经济学解析

以"外部利润——产权界定——资源优化配置"为研究主线,对成都市农村土地股份合作制改革进行了制度经济学解析。研究发现,制度创新空间的形成、土地的增值收益、土地规模利用效应和土地集约利用效应构成了成都市农村土地股份合作制改革的外部利润。成都市农村土地股份合作制改革,一方面可以提高土地规模和集约利用效应,促进土地资源优化配置;另一方面可以明晰集体土地产权主体,健全基层组织治理机制。要采取诸如放松法律限制、加强理论研究、规范机制建设等措施,从而推动土地股份合作制的生成和发展。