高耸塔架结构节点损伤基于神经网络的两步诊断法

本文针对高耸钢塔架结构的损伤特点，建立了具有节点损伤的有限元模型，提出了一种分层神经网络两步诊断法：第一步，由基于区域残余力理论的第一层神经网络进行结构损伤区域的初诊；第二步，由基于应变模态理论的第二层神经网络进行损伤区域内的具体损伤节点位置和程度的诊断。对一平面塔架结构的数值仿真分析表明：本文提出的损伤诊断方法的结果是令人满意的。     

In-situ Formation of Light-Absorbing Organic Matter in Cloud Water

Current climate models seem to underestimate the flux of solar energy absorbed by the global troposphere. All of these models are constrained with the assumption that cloud droplets consist of pure water. Here we demonstrate in a simple laboratory experiment that aromatic hydroxy-acids which are found in continental fine aerosol can react with hydroxyl radicals under typical conditions prevalent in cloud water influenced by biomass burning. The reactions yield colored organic species which do absorb solar radiation. We also suggest that the products of such reactions may be humic-like substances whose presence in continental aerosol has been confirmed but their source mechanisms are still much sought after. We also attempt to give a first order estimate of the enhancement of water absorption at a visible wavelength under atmospheric conditions.     

路用探地雷达的应用技术研究进展

有效、无损、快捷、简便是公路检测技术发展的方向，当前国内外先进的浅层勘探技术——路用探地雷达检测，以其无损、快捷以及浅层高分辨率的优势被迅速应用于公路检测。本文对近年来路用探地雷达技术的发展及应用情况进行了介绍，详细分析了探地雷达的工作原理、系统组成结构。就探地雷达在公路建设、维护过程中的应用情况进行了系统总结。     

昆明经济技术开发区场地地震易损性分析

通过对昆明经济技术开发区的地质构造，场地工程地质环境，砂土液化判别以震害预测的综合研究，进行了区内的场地地震易损性分析。根据计算出的地震易损性指数，结果表明，可将研究区划分为两个震害程度不同的区域。     

结构参数未知条件下的地震动反演研究

本文运用复合反演的观点研究结构参数未知条件下的地震动反演问题。根据地震作用的力学特性，将其具体化为估计输入的修正条件，文中给出了一类反演算法。理论分析及算例表明，该算法具有稳定的收敛特性以及良好的反演效果。     

1997年4月6日、11日、16日新疆伽师4次6.3～6.6级地震烈度分布及震害特征

1997年4月6日、11日、16日新疆伽师继1月21日和3月1日3次6级以上地震之后又连续发生了4次6级以上地震。极震区烈度达Ⅷ度．极震区内的英买里乡所有Ⅰ类房屋几乎全部倒塌或严重破坏；江巴孜乡、和夏阿瓦提乡、克孜勒苏乡和巴仁镇的大部分房屋倒塌或严重破坏。在地下水位高、土质松散地区出现大面积喷水冒砂与地裂缝。根据震害评估与宏观考察资料，介绍了各烈度区的震害特征。     

震后预报的某些研究

通过研究华北北部中强以上地震震后地震活动，地形变、地电阻率、水化学和水位变化特征，给出了各单项方法识别震后效应与新地震异常的标志。为了综合判别震后短临异常变化是震后效应或新异常，研制了一套综合识别计算机程序系统，该系统考虑了已发生的强震序列类型，地震活动背景特征以及强震前后前兆短临异常变化形态，充分利用专家的知识与经验进行推理和判断。通过运行典型事例表明该系统功能较强，使用方便。系统的实现是专家系     

Neural dynamic modelling on earthquake magnitude series

Earthquake magnitude prediction is of vital importance for human safety. The earthquake is a very complicated and non-linear dynamic process. It cannot be described adequately by any deterministic models. In this paper a neural dynamic modelling for earthquake magnitude prediction is reported. Historical records of earthquake magnitude series are used to construct the optimal non-linear dynamic model, and the consequent outcome of the earthquake behaviour is then predicted by this model. In turn, the latest recorded data set can be fed back to improve the accuracy of the neural dynamic model. The modelling of experiments of three earthquake magnitude series in China and Japan and their extrapolated predictions are included in this paper. The values predicted by extrapolation are in good agreement with the historical data.     

Phase-array decomposition of a seismic section

A seismic re fraction/wide-angle reflection profile is analysed for the presence of correlated events ('phases'). The correlation problem is formulated in terms of temporally, spatially and frequency-local complex covariances. For robustness, the method concentrates on phase rather than amplitude information. This allows a computationally efficient algorithm that can make allowance for signal correlation length and can model curved wavefronts. A statistical test based on residual phase misfit across the analysed subarray is used to assess the probability that a detected event represents a real correlated signal.
With our chosen analysis parameters and confidence level (over 99.9 per cent). 1222 events were detected in the data. Using simple techniques based on 1-D earth models, detected events are associated with a small number of particular wave types. In this way, we have succeeded in classifying almost 95 per cent of the detected events. Those that remain describe those components of the data that are inconsistent with our simple ray paths in the 1-D assumption and with our prescribed tolerance. These include reverberations, near-surface guided waves and reflected waves from strongly laterally inhomogeneous structures. According to our modelling, about 25 per cent of the detected events are consistent with simple P -wave reflected energy, and these are to a very large extent (over 85 per cent) distinct from all the other wave-type models we have used. A direct mapping of the detected events into the offset-depth domain reveals dear internal and external consistencies among the detections for the various wave types. Estimated earth structure is consistent with models from previous analyses based on much larger data sets.
We have thus succeeded in extracting correlated events from the data and decomposing these, approximately but meaningfully, into distinct classes (ray paths)     

1995年康定城区洪灾成因分析

分析洪灾成因 :长时间连续降雨和随后而至的暴雨 ,是山洪成灾主要因素 ;特殊的水系结构使洪峰流量在城区河流汇合处叠加 ;山洪的动能大 ,挟带泥沙和冲蚀能力强 ;泥石流、滑坡、崩塌强烈活动 ,为山洪提供大量泥沙、推移质 ;人类经济活动不当 ,加大了灾害损失