数字地震台网文件自动传输系统的设计

为完善数字地震台网数据服务处理功能,使用DOS脚本及汇编语言,设计开发了网络文件自动传输系统--AFTFRSD Version 1.0,每天完成前台机地震实时数据自动传输到后台机.本系统可应用于各省数字地震台网中心.     

广西"十五"数字测震台网信道建设与系统集成

通过实施广西"十五"数字测震台网建设项目,在保证地震速报能力的前提下,根据广西区域数字测震台的布局,合理选择台站不同数据传输模式和台网集成方案,以取得系统的优良性价比.     

BP人工神经网络在青藏铁路南段地壳稳定性定量评价中的应用

将BP人工神经网络方法引入区域构造活动性、区域地壳稳定性研究领域,对青藏铁路南段沿线的构造活动性进行定量分析.选用断层运动速率、地震震级、温泉温度及剪切应变4个关键影响因子作为BP人工神经网络的输入向量,构造活动强度(α)作为输出向量,以α为定量判据,将全区划分为相对稳定区(α＜0.22)、较不稳定区(α≈0.22～0.38)、不稳定区(α≈0.38～0.69)、极不稳定区或强烈构造活动区(α≥0.69).在青藏铁路南段沿线划分出格仁错、崩错、当雄-羊八井、错那湖、唐古拉山口南、聂荣东北、聂荣西北、雅鲁藏布江断裂沿线、萨迦等不稳定区,在不稳定区内部进一步划分出申扎、蓬错、尼木、桑雄、羊八井5个极不稳定区.     

二维黄金分割法在抗滑桩截面优化设计中的应用

在对抗滑桩截面宽度和截面高度与抗滑桩费用之间的关系进行综合讨论分析的基础上,引入二维黄金分割法与计算机编程方法,编制了专门的计算软件对抗滑桩截面进行优化设计,以实现满足抗滑要求的前提下使单抗滑桩工程总费用达到最低的优化目的.在三峡库区某工程的实例应用表明,该方法具有良好的社会经济效益,对滑坡的治理设计具有较重要的实际应用价值.     

基于技术经济评价的取心钻进方法设计

提出了一种进行取心钻进设计的新方法,其特点是将技术经济学的思想引入钻探工程设计中,从而实现取心钻进方法的优选。该方法具有通用性,可用于任何钻探项目取心钻进方法的选择。在研究中,建立了评价取心钻进施工的技术经济评价指标体系;推导了钻进时间和成本的计算公式,并以一个5000m取心钻进项目的设计为例,对CCSD科钻一井的取心钻进方法进行了评价,证明由中国大陆科学钻探工程中心发明和研制成功的螺杆马达-液动锤-提钻取心法是一种高效、优质、低成本和安全的取心钻进方法。     

Elman神经网络在低渗储层敏感性预测中的应用

油气储层敏感性是制约低渗储层有效开发的重要因素之一,但在勘探开发早期储层敏感性预测及分布规律的研究受到资料不足的限制.从实验敏感性分析结果入手,对Elman神经网络预测储层敏感性的过程及方法进行了系统的分析,并提出了通过设置虚拟井来预测储层敏感性平面分布的方法.结果表明:①影响低渗储层敏感性的主要因素有蒙皂石、伊利石、高岭石、绿泥石、伊-蒙混层、石英、长石的体积分数,孔隙度和渗透率;②Elman神经网络能够很好地预测低渗储层的敏感性,预测结果与实测结果绝对误差的平均值均低于0.04,水敏性样品的预测结果与实测结果绝对误差的平均值为0.001;③通过设置虚拟井位,能够很好地预测储层敏感性的平面分布规律.     

饱和砂土液化研究进展

根据国内外文献资料,从三方面总结了饱和砂土的最新进展:饱和砂土液化判别方法、砂土液化的试验研究以及液化后分析,特别是探讨了液化对上部结构的影响。最后指出了存在的问题和今后的研究方向。     

Damping characteristics of friction damped braced frame and its effectiveness in the mega-sub controlled structure system

Based on energy dissipation and structural control principle, a new structural configuration, called the mega- sub controlled structure (MSCS) with friction damped braces (FDBs), is first presented. Meanwhile, to calculate the damping coefficient in the slipping state a new analytical method is proposed. The damping characteristics of one-storey friction damped braced frame (FDBF) are investigated, and the influence of the structural parameters on the energy dissipation and the practical engineering design are discussed. The nonlinear dynamic equations and the analytical model of the MSCS with FDBs are established. Three building structures with different structural configurations, which were designed with reference to the conventional mega-sub structures such as used in Tokyo City Hall, are comparatively investigated. The results illustrate that the structure presented in the paper has excellent dynamic properties and satisfactory control effectiveness.     

Semi-active model predictive control for 3rd generation benchmark problem using smart dampers

A semi-active strategy for model predictive control (MPC), in which magneto-rheological dampers are used as an actuator, is presented for use in reducing the nonlinear seismic response of high-rise buildings. A multi-step predictive model is developed to estimate the seismic performance of high-rise buildings, taking into account of the effects of nonlinearity, time-variability, model mismatching, and disturbances and uncertainty of controlled system parameters by the predicted error feedback in the multi-step predictive model. Based on the predictive model, a Kalman-Bucy observer suitable for semi-active strategy is proposed to estimate the state vector from the acceleration and semi-active control force feedback. The main advantage of the proposed strategy is its inherent stability, simplicity, on-line real-time operation, and the ability to handle nonlinearity, uncertainty, and time-variability properties of structures. Numerical simulation of the nonlinear seismic responses of a controlled 20-story benchmark building is carried out, and the simulation results are compared to those of other control systems. The results show that the developed semi-active strategy can efficiently reduce the nonlinear seismic response of high-rise buildings.     

基于神经网络的滑移隔震结构智能半主动控制

考虑上部结构的刚度和阻尼,使用神经网络控制算法计算基底摩擦力的大小,研究了滑移隔震结构的半主动控制。对计算实例的分析表明,通过半主动控制的滑移隔震结构不但具有较好的隔震效果,且能有效地减小基底的最大滑移量及残余位移。为对比各种控制方法的控制效果,文中还利用Bang-Bang控制和瞬时最优控制算法对滑移隔震结构进行了半主动控制。对比分析表明,基于神经网络控制算法的控制效果优于其它控制算法,具有反馈量少,稳健性强等特点。