MODELLING UNKNOWN STRUCTURAL SYSTEMS THROUGH THE USE OF NEURAL NETWORKS

This paper explores the potential of using neural networks to identify the internal forces of typical systems encountered in the field of earthquake engineering and structural dynamics. After formulating the identification task as a neural network learning procedure, the method is applied to a representative chain-like system under deterministic and stochastic excitations. The neural network based identification method provides very good results for general classes of multi-degree-of-freedom structural systems. The range of validity of the approach is demonstrated, and some application issues are discussed for (a) partially known multi-degree-of-freedom systems and (b) completely unknown systems.     

耗能－隔震柔性底层钢管混凝土结构的振动台实验和损伤分析

本文采用人工神经元网络理论，对城市公路网络中的单元路段和桥梁的震害预测进行了探讨。在前人研究的基础上，提出了解决这一非确定性问题的一个有效的方法，对于深入研究生命线工程系统震害的规律具有普遍的意义，从而使我们有可能避免地震造成的破坏和最大限度地减小损失，为抗震减灾提供决策依据。     

地震数据数字化及实时传输

简要地介绍了地震数据国际交换试验系统和台站地震数据实时采集传输系统的组成、各部分的特性与功能、地震数据数字化及实时传输过程。     

A diffusion approximation for a network of reservoirs with power law release rule

A diffusion approximation for a network of continuous time reservoirs with power law release rules is examined. Under a mild assumption on the inflow processes, we show that for physically reasonable values of the power law constants, the system of processes converges to a multi-dimensional Gaussian diffusion process. We also illustrate how the limiting Gaussian process may be used to compute approximations to the original system of reservoirs. In addition, we study the quality of our approximations by comparing them to results obtained by simulations of the original watershed model. The simulations offer support for the use of the approximation developed here.     

北京及邻区微震活动的初步分析

通过对北京遥测地震台网近年来记录到的北京及邻区地震的震中分布,地震活动频度及能量释放强度的分析,得到本区地震活动在时间分布上具有“聚堆性”。在年发震频度,地震强度和能释放方面均具有双峰值特征,并且具有较好的一致性和同步性,在空间分布上具有条带特征,且形成北东～南西和北西～南东的两条相互交汇的条带。又通过统计分析得到本区发震概率最大的时间段是每年的１０月前后,而地震主要发生在北西～南东带上。     

二滩水库蓄水1年的地震活动

二滩水电站于1998年5月1日下闸蓄水,至今已有1年多。1年来,库首区周边出现了少量与库水位涨落有关的弱震活动。本文使用了二滩水库遥测地震台网的8个高增益子台、1个低增益子台共23道记录的地震分析资料。通过对蓄水前后发生地震比较,重点对1998年5月发生在龙胜乡的小震群,6月鱼干鱼乡西北的小震群及8月发生于大坝附近的小震序列进行了分析研究。探讨了1998年5月至1999年5月的水库水位变化与地震次数及震级大小的关系。由此,得出了二滩水库蓄水初期的地震活动性研究的初步结论:蓄水后数10亿吨库水的加载导致岩石形变附加剪切应力可能是导致初期水库周边弱震活动增加的诱发因素。笔者认为加强对大坝及周围地区的地震监测和对水库诱发地震的预测研究,减轻未来可能发生的构造型诱发地震灾害是下一阶段的首要任务。     

广东数字地震台网‘十五’系统的几种地震定位方法的定位效果分析

选取广东省‘十五’数字地震台网2007年6-9月试运行以来记录到的32次地震事件,运用地震台网地震速报及地震编目使用的几种常规地震定位软件,并将其结果与‘九五’编目产出的结果进行了比较,结果表明：对于网内地震。单纯型定位法及HYP02000程序的定位法结果稍优于Hyposat定位法：对于网缘地震,3种定位程序得到的结果相差不大。     

Spatial rainfall model using a pattern classifier for estimating missing daily rainfall data

Missing data in daily rainfall records are very common in water engineering practice. However, they must be replaced by proper estimates to be reliably used in hydrologic models. Presented herein is an effort to develop a new spatial daily rainfall model that is specifically intended to fill in gaps in a daily rainfall dataset. The proposed model is different from a convectional daily rainfall generation scheme in that it takes advantage of concurrent measurements at the nearby sites to increase the accuracy of estimation. The model is based on a two-step approach to handle the occurrence and the amount of daily rainfalls separately. This study tested four neural network classifiers for a rainfall occurrence processor, and two regression techniques for a rainfall amount processor. The test results revealed that a probabilistic neural network approach is preferred for determining the occurrence of daily rainfalls, and a stepwise regression with a log-transformation is recommended for estimating daily rainfall amounts.     

海南省“十五”测震台网运行后台站的维护

海南省“十五”测震台网是集数字化、综合化、自动化技术为一体的大动态、宽频带地震观测系统,在地震速报、预报和地震科学研究中发挥重要的作用。本文通过对海南省测震台站故障情况的分析和总结,介绍地震台站维护的一些经验和方法。     

“十五”宁夏区域前兆台网建设与系统集成

概述了“十五”宁夏前兆项目系统运行平台及软硬件配置情况。详细地论述了省级区域前兆台网的构架特点,及部署过程中的关键技术与解决方法。