有关钢结构地震作用的讨论

简要介绍了6本国内标准(TJ11-74、TJ11-78、GB J11-89、GB50011-2001、JG J99-98、CECS160:2004)有关钢结构地震作用的计算方法,包括荷载组合方法和底部剪力法。通过归一化后的结果比较,评价了各本标准地震作用的大小。分析表明,除JG J99-98和GB50011-2001 2本标准由于考虑钢结构的阻尼比为0.02或0.035后,其地震作用有显著增大外,其它4本标准的地震作用处于接近的水平。考虑到钢筋混凝土和砖石结构等的地震作用水平在新旧抗震规范中并无多大变化,过分提高抗震性能较优的钢结构的地震作用水平显然是不合理的。     

冰振反应谱问题研究

本文总结了国内外冰荷载的有关研究规定及现状。冰荷载对跨江桥梁及海洋平台的激振干扰,严重影响人们的正常生活和生产,因此,急需搞清定量的冰振依据和制定合理的抗冰设计方法。因为冰荷载与地震荷载均为随机过程,有类似之处,因此,本文从工程实际出发,就国内外海洋工程冰荷载研究存在的不足之处,根据结构抗震理论的思想提出了结构抗冰反应谱的研究方法,为结构抗冰振动分析提供一种简便、实用的分析方法。     

西秦岭金矿化带中土壤与岩石实验室光谱相关性研究

通过西秦岭金矿化带中土壤与岩石实验室光谱的相关性分析与研究。探索该区表层壤覆盖条件下应用遥感信息寻找金矿床。研究表明,土壤与岩石两者光谱之间有很高的正相关性,并且在谱形上亦有相似性,使得利用该地区土壤光谱特征从遥感信息中提取出土壤覆盖层下的岩石光谱特征成为可能,为这种遥感技术找矿方法提供依据。     

Experimental evidence of the transition between power law models in the high frequency range of the gravity wave spectrum

The existence of a transition in the slope of the wind-generated gravity wave spectrum from a f⁻⁴ to a f⁻⁵ power law, at a given frequency in the high frequency range, is examined. Evidence of its existence and of the non-uniqueness of the wave spectrum slope in the equilibrium range is presented. Furthermore, it is demonstrated that the statistical variability of the spectral estimates makes it difficult to obtain reliable results from limited sets of finite length wave records.     

新型时域谱微机激电仪的研制开发

摘 要　 以测量激发极化二次场时域谱为基础‚研制开发出以单片微型计算机为中央处理单 元 （CPU） 的新型激电仪。实现了双系列激电参数提取、二次场波谱测量及全汉化菜单操作。     

2020年1月19日新疆伽师MS6.4地震强震动记录特征初步分析

2020年1月19日新疆伽师发生M S6.4地震,新疆强震动观测台网共获取44组强震动记录,西克尔强震台获得本次地震最大峰值加速度633.3×10-2 m·s-2。本文对获取到的强震动记录进行初步整理、分析,拟合得到本次地震地震动峰值加速度衰减关系,在300 km范围内与经验性衰减关系相差不大。计算分析了峰值加速度大于100×10-2 m·s-2的5个典型强震台站加速度反应谱,并与设计反应谱进行对比分析,同时计算了这5个台站地震动70%及90%能量持时,两者相差较大,反映出地震主要能量释放集中在相对较短的时间内。     

中国大陆几次强地震长波辐射异常分析

大地震前存在长波辐射异常已被许多震例所证实,为进一步分析强地震前的长波辐射异常变化特征,提取其异常的判定指标。以多年静止卫星长波辐射资料（OLR）为基础,应用小波变换和功率谱估计方法对中国大陆6级以上地震进行分析研究。结果表明,6次强地震前三个月内均出现不同程度的长波辐射异常现象,与以前震例分析结果较为一致。空间上在震中及其附近区域异常整体呈现开始-增强-极值-减弱-消失过程,异常最大值时大于多年均值的1倍标准偏差的范围面积达数万到十几万km²,异常最大值时相对功率谱幅值均在10倍以上;时间上震中附近小区域相对功率谱幅值持续偏离多年均值的1倍标准偏差,持续偏离时间介于40~75天。这些强地震的异常判定指标具有短期预测指示意义。     

A prediction model for frequency spectrum of blast‐induced seismic wave in viscoelastic medium

A prediction model for frequency spectrum of blast‐induced seismic waves is established. The effect of explosive sources is considered in this model. Our model implies that the frequency spectrum of blast‐induced seismic wave is mainly influenced by the initial pressure and the adiabatic exponent of explosives. The dominant frequency increases with the decreasing of initial pressure or the increasing of adiabatic exponent. In addition, this prediction model is verified by the experiment. The error of the dominant frequency is 4%–6%. It is indicated that the proposed model in this paper can reasonably predict the frequency spectrum of blast‐induced seismic waves, and then, we can provide a better frequency spectrum by optimizing the explosion source.     

地震台站台基噪声功率谱概率密度函数Matlab实现

选取2015年四川数字测震台网中筠连和华蓥山地震台记录的垂直分向连续波形数据,利用Matlab软件,计算地震台站台基噪声功率谱概率密度函数,分析地震台站环境噪声特征。结果表明,台站环境噪声功率谱密度概率密度分布对地震事件波形（体波、面波）、人为噪声（台站周围人为活动、车辆及机器噪声等高频干扰）、系统瞬变（数据丢失、地震计小故障）以及仪器标定信号等反映较好。使用台基噪声功率谱概率密度函数方法,有利于监测地震台站数据记录,提高观测数据质量。     

A new model for spectral velocity ordinates at long periods

The estimation of peak linear response via elastic design (response) spectra continues to form the basis of earthquake‐resistant design of structural systems in various codes of practice all over the world. Many response spectrum‐based formulations of peak linear response require an additional input of the spectral velocity (SV) ordinates consistent with the specified seismic hazard. SV ordinates have been conventionally approximated by pseudo spectral velocity (PSV) ordinates, which are close to the SV ordinates only over the intermediate frequency range coinciding with the velocity‐sensitive region. At long periods, PSV ordinates underestimate the SV ordinates, and this study proposes a formulation of a correction factor (>1) that needs to be multiplied by the PSV ordinates in order to close the gap between the two sets of ordinates. A simple model is proposed in the form of a power function in oscillator period to estimate this factor in terms of two governing parameters which are in turn estimated from two single‐parameter scaling equations. The parameters considered for the scaling equations are (1) the period at which the PSV spectrum is maximized and (2) the rate of decay of the pseudo spectral acceleration (PSA) amplitudes at long periods. For a given damping ratio, four regression coefficients are determined for the scaling equations with the help of 205 ground motions recorded in western USA. A numerical study undertaken with the help of several design PSA spectra and ensembles of spectrum‐compatible ground motions illustrates the effectiveness of the proposed correction factor, together with the proposed scaling models, in comparison with the PSV approximation in a variety of design situations. Both the input parameters mentioned above can be easily obtained from the specified design spectrum, and thus the proposed model is convenient to use.