葛洲坝垂直位移自动监测系统

本文介绍了葛洲坝垂直位移遥控监测系统的工作原理、结构、电路设计特点及实际使用效果。几年的实测结果证明了此系统量测精度高、稳定性好、自动化程度高，实现了联机实时自动监测大坝垂直位移的目标。     

矿震预报可能性的探讨

矿震是危害矿山安全生产的严重灾害,人们在长期生产实践和研究探索中发现,应用断裂力学知识和地震科学知识以及矿山形变测量资料,有可能对矿山地震作出某种预报。     

地壳上层水平位移与江西省二叠纪沉积相带的畸变

江西省茅口—龙潭期地层研究的较为详细,可分为3区6小区,反映出当时古地理条件下所形成的不同沉积相带,它们沿走向相当稳定,沿倾向则有规律递变。但目前这种有规律的分布已经错乱,通过地层对比推知在武夷山、武功山及九岭山等地均发生过较大规模的水平位移。正是这种水平位移导致了江西省二叠纪沉积相带的畸变与古地理图失真。目前这些山区的核心部位均无盖层,其原因不仅仅在于风化剥蚀,构造剥蚀可能是更重要的因素。     

Influence of long‐period filter cut‐off on elastic spectral displacements

The effect of the long‐period filter cut‐off, T_c, on elastic spectral displacements is investigated using a strong ground‐motion database from Europe and the Middle East. The relation between the filter and oscillator responses is considered to observe the influence of T_c for both analogue and digital records, and the variations with site classification, magnitude, filter order and viscous damping. Robust statistics are derived using the re‐processed European data to generalize the effects of the long‐period filter cut‐off on maximum oscillator deformation demands as a function of these seismological and structural features. Statistics with a 95% confidence interval are derived to suggest usable period ranges for spectral displacement computations as a function of T_c. The results indicate that the maximum period at which spectral displacements can be confidently calculated depend strongly on the site class, magnitude and filter order. The period range where reliable long‐period information can be extracted from digital accelerograms is twice that of analogue records. Copyright © 2006 John Wiley & Sons, Ltd.     

Pre‐ and post‐test mathematical modelling of a plan‐asymmetric reinforced concrete frame building

Pre‐ and post‐test analyses of the structural response of a three‐storey asymmetric reinforced concrete frame building were performed, aimed at supporting test preparation and performance as well as studying mathematical modelling. The building was designed for gravity loads only. Full‐scale pseudo‐dynamic tests were performed in the ELSA laboratory in Ispra. In the paper the results of initial parametric studies, of the blind pre‐test predictions, and of the post‐test analysis are summarized. In all studies a simple mathematical model, with one‐component member models with concentrated plasticity was employed. The pre‐test analyses were performed using the CANNY program. After the test results became available, the mathematical model was improved using an approach based on a displacement‐controlled analysis. Basically, the same mathematical model was used as in pre‐test analyses, except that the values of some of the parameters were changed. The OpenSees program was employed. Fair agreement between the test and numerical results was obtained. The results prove that relatively simple mathematical models are able to adequately simulate the detailed seismic response of reinforced concrete frame structures to a known ground motion, provided that the input parameters are properly determined. Copyright © 2006 John Wiley & Sons, Ltd.     

Selection of ground motion time series and limits on scaling

A procedure to select time series for use in non-linear analyses that are intended to result in an average response of the non-linear system is proposed that is not based simply on magnitude, distance, and spectral shape. A simple model of a yielding system is used as a proxy for the non-linear behavior of a more complicated yielding system. As an example, Newmark displacements are used as a proxy for more complex slope-stability models. The candidate scaled time series are evaluated to find those that yield a response of the simple non-linear system that is near the expected response for the design event. Those scaled time series with responses near the expected value are selected as the optimum time series for defining average response even if the scale factors are larger than commonly accepted (e.g. scale factors >factor of 2).     

基于? -SVR算法的隧道围岩位移演化规律预测

针对目前广泛应用的灰色理论、遗传算法(GA)和人工神经网络(ANN)等方法预测隧道稳定性的缺陷，提出应用稳健性能较好的? -SVR（support vector machine）算法对非对称连拱隧道围岩位移演化规律进行预测研究。应用加速混合遗传算法搜索? -SVR最优参数，以提高? -SVR的预测能力。将预测结果与灰色理论、BP神经网络预测结果进行比较，显示? -SVR算法学习和预测精度高。     

基于小波变换模极大值的滑坡监测数据处理方法及其实现

首先给出小波变换模极大值法用于滑坡体位移监测曲线去噪的处理方法,并对该方法在MATLAB中的实现进行了研究和探讨,给出了实现的算法步骤以及相应的MATLAB程序代码。利用实际数据资料,在MATLAB下进行滑坡体位移监测曲线去噪试验,取得了较理想的效果。实验结果表明,将小波变换模极大值法用于滑坡体数据处理,不但可以有效地消除噪声,而且还可以保持信号的阶跃或突变点的位置不变。     

基坑边坡变形的理论计算方法

基于Mindli。应变解，推导出土质直坡和斜坡侧向与竖向变形的理论解。通过计算分析，讨论了影响边坡变形的因素，并据此提出了边坡支护和加固的方法。     

钢筋混凝土桥墩非线性地震反应分析

采用Takeda滞回曲线模型,对三个不同周期的桥墩,分别输入多条具有相同反应谱的地震波,计算了桥墩的线性和非线性时程响应,通过比较线性和非线性最大地震位移响应发现,在这些地震波作用下,虽然线性位移响应最大值基本相同,但非线性位移响应最大值差别很大。