不同轴压比RCS梁柱组合件恢复力模型研究          下载免费PDF全文

朱旦  李升才  朱永甫 《世界地震工程》2021,(2):143-152

以6个1/2模型RCS梁柱节点拟静力试验为基础,研究不同轴压比下RCS组合件的滞回性能。试验结果表明:梁铰破坏时试件的滞回曲线饱满,耗能能力优于构造破坏;随着轴压比的增大,试件滞回环愈加丰满,初始刚度有所增加,承载力有所增大;随着加载位移的增加,刚度退化速率变慢,且梁铰破坏时随着轴压比增大,刚度退化速率变大。基于试验结果和现有恢复力模型理论,建立的三折线骨架曲线模型与实际试验骨架曲线具有较高的吻合度,能较好的反映轴压比对其滞回特性的影响,可为该RCS梁柱组合件的弹塑性分析及工程应用提供参考。  相似文献   

黄土微观参数指标与阻尼比关联度研究          下载免费PDF全文

郑芳  邓津      安亮 《世界地震工程》2021,(3):180-188

对岷县地震台、庆阳黄土塬2~12m深度土层的粉土、粉质黏土样品,利用室内动三轴试验和扫描电镜试验,测定阻尼比和微观结构特征,研究了粉土、粉质黏土的阻尼比随深度的变化及应力应变关系,采用灰色关联度方法,分析了黄土竖向（沉积方向）和横向（垂直于沉积方向）的微观结构参数对阻尼比影响的主次关系及其权重。研究结果表明:小应变下,粉土和粉质黏土阻尼比随着深度的增加而减小;粉土和粉质黏土的微观参数与阻尼比有一定的关联性,粉土竖向的微观参数对阻尼比的影响较为敏感;粉质黏土横向的微观参数对阻尼比的影响更加敏感;影响权重方面,粉质黏土的平均形状系数影响权重最大,对阻尼比的影响最大;粉土的平均形状系数、分形维数和概率熵影响权重最大,对阻尼比影响最敏感。平均面积无论在关联度还是影响权重方面对阻尼比影响最小,该结论粉土与粉质黏土保持一致。  相似文献   

玛多地震中大野马岭大桥震害机理分析          下载免费PDF全文

黄勇  宋光有  李国昌  俎林  蔡丽雯 《世界地震工程》2021,(4):012-20

2021年5月22日青海玛多发生了M_s7.4级地震,从地震中桥梁震害情况看:此次地震的特点是断层北侧震害轻,南侧震害重。位于断层南侧的野马滩大桥是简支梁桥,发生大量落梁,是此次地震中受损最为严重的大桥之一;而位于北侧的大野马岭大桥是连续梁桥,仅发生了部分挡块开裂。其中原因值得深入研究。本文通过有限元分析软件Midas/Civil建立大野马岭大桥（上行线）模型,进行地震反应分析,讨论分析了大野马岭大桥在此次地震中的震害机理。发现南北向的地震动是造成该桥横向挡块破坏的主要原因,东西向地震动因受到桥台和纵向挡块的约束并没有出现严重损伤。若将该桥由连续梁桥变成简支梁桥,地震反应会有所变化,但总体趋势特点变化并不大。另外,本文通过现有资料选定5组地震动作为输入,进行地震反应分析,比较分析不同地震动对该桥的影响,并验证地震动模拟效果。  相似文献   

中国地震科学实验场地震时空演变规律研究          下载免费PDF全文

王志浩  单维锋    滕云田 《世界地震工程》2021,(2):223-231

通过分析某一区域地震事件的时空演化过程可以了解该区域地震的演化特征,为评估该地区地震的危险性提供依据。基于中国地震科学实验场2000年至2019年3.0级以上的地震事件数据,利用加权平均中心、标准差椭圆和全局空间自相关等空间统计学方法探索该地区地震事件的时空演变规律。结果表明:（1）汶川地震之后该地区地震的发生频次总体呈现出下降趋势,地震的活动性逐渐减弱。（2）地震加权平均中心呈现出"折返"型的移动规律,在东北-西南方向上来回震荡。（3）地震事件的空间分布呈现"东北-西南"格局走向,与映秀-北川断裂带的方向基本一致。（4）该地区地震事件的空间分布模式以聚集模式为主,且正处于上升阶段,但上升速度较为缓慢。  相似文献   

梁板分离式分层隔震结构减震原理研究          下载免费PDF全文

陶传迁    解恒燕    杨光  刘文洋 《世界地震工程》2021,(4):122-136

为了拓宽隔震技术的应用范围,提出了梁板分离式分层隔震结构概念,其核心思想是将框架结构或框架剪力墙结构中的所有楼层或某些楼层的全部或部分楼板通过橡胶隔震支座支承于梁上。建立了分层隔震结构的动力分析模型,利用自编程序按时程分析法和振型分解反应谱法分别计算了不同工况下分层隔震结构的地震反应,运用隔震技术的基本原理和振型分析法分析了刚度比和场地条件等因素对减震效果的影响。发现了刚度比变化过程中分层隔震结构的两个极限状态,并利用其中之一初步判断减震效果。  相似文献   

Impact of ambient temperature on spring-based relative gravimeter measurements     

B.?ForesEmail authorView author&#;s OrcID profile  C.?Champollion  N.?Le?Moigne  J.?Chery 《Journal of Geodesy》2017,91(3):269-277

In this paper, we investigate the impact of ambient temperature changes on the gravity reading of spring-based relative gravimeters. Controlled heating experiments using two Scintrex CG5 gravimeters allowed us to determine a linear correlation (R \(^{2}>\) 0.9) between ambient temperature and gravity variations. The relation is stable and constant for the two CG5 we used: ?5 nm/s\(^{2}/^\circ \)C. A linear relation is also seen between gravity and residual sensor temperature variations (R \(^{2}>\) 0.75), but contrary to ambient temperature, this relation is neither constant over time nor similar between the two instruments. The linear correction of ambient temperature on the controlled heating time series reduced the standard deviation at least by a factor of 2, to less than 10 nm/s\(^{2}\). The laboratory results allowed for reprocessing the data gathered on a field survey that originally aimed to characterize local hydrological heterogeneities on a karstic area. The correction of two years of monthly CG5 measurements from ambient temperature variations halved the standard deviation (from 62 to 32 nm/s\(^{2}\)) and led us to a better hydrological interpretation. Although the origin of this effect is uncertain, we suggest that an imperfect control of the sensor temperature may be involved, as well as a change of the properties of an electronic component.  相似文献   

Climate and climate change in the Austrian–Swiss region of the European Alps during the twentieth century according to Feddema     

Ferenc?ácsEmail authorView author&#;s OrcID profile  Dominika?Takács  Hajnalka?Breuer  Nóra?Skarbit 《Theoretical and Applied Climatology》2018,131(3-4):899-926

We present a 1-km² gridded German dataset of hourly surface climate variables covering the period 1995 to 2012. The dataset comprises 12 variables including temperature, dew point, cloud cover, wind speed and direction, global and direct shortwave radiation, down- and up-welling longwave radiation, sea level pressure, relative humidity and vapour pressure. This dataset was constructed statistically from station data, satellite observations and model data. It is outstanding in terms of spatial and temporal resolution and in the number of climate variables. For each variable, we employed the most suitable gridding method and combined the best of several information sources, including station records, satellite-derived data and data from a regional climate model. A module to estimate urban heat island intensity was integrated for air and dew point temperature. Owing to the low density of available synop stations, the gridded dataset does not capture all variations that may occur at a resolution of 1 km². This applies to areas of complex terrain (all the variables), and in particular to wind speed and the radiation parameters. To achieve maximum precision, we used all observational information when it was available. This, however, leads to inhomogeneities in station network density and affects the long-term consistency of the dataset. A first climate analysis for Germany was conducted. The Rhine River Valley, for example, exhibited more than 100 summer days in 2003, whereas in 1996, the number was low everywhere in Germany. The dataset is useful for applications in various climate-related studies, hazard management and for solar or wind energy applications and it is available via doi: 10.5676/DWD_CDC/TRY_Basis_v001.  相似文献   

Drivers of long-term precipitation and runoff variability in the southeastern USA     

Johanna?Engstr?mEmail authorView author&#;s OrcID profile  Peter?Waylen 《Theoretical and Applied Climatology》2018,131(3-4):1133-1146

The hydroclimatology of the southeastern USA (AL, GA, NC, SC, and TN) is analyzed from a holistic perspective, including multiple climate drivers. Monthly precipitation modeled by the PRISM group and runoff data (1952–2011) from 18 basins are analyzed using a single-field based principal component’s analysis. Results indicate that the Atlantic Multidecadal Oscillation and El Niño-Southern Oscillation are the main atmospheric drivers of hydroclimate variability in the region, sometimes operating at several months’ lag. Their influence is the strongest in the fall through spring, which corresponds with the dry season in the southern parts of the study area thereby increasing pressure on already limited water resources. The Arctic Oscillation, North Atlantic Oscillation, and Pacific-North American patterns vary on shorter-term bases, and also show a significant, but temporally more sporadic influence. Insight is also brought to the ongoing discussion, confirming the disassociation of the Arctic and North Atlantic Oscillation. Findings can be used in water resources forecasting, giving an indication of expected water volumes several months ahead.  相似文献   

Retrieving air humidity,global solar radiation,and reference evapotranspiration from daily temperatures: development and validation of new methods for Mexico. Part I: humidity     

P.?LobitEmail authorView author&#;s OrcID profile  L.?López Pérez  J.?P.?Lhomme  A.?Gómez Tagle 《Theoretical and Applied Climatology》2018,132(3-4):751-762

The occurrence of flood and drought frequency is highly correlated with the temporal fluctuations of streamflow series; understanding of these fluctuations is essential for the improved modeling and statistical prediction of extreme changes in river basins. In this study, the complexity of daily streamflow fluctuations was investigated by using multifractal detrended fluctuation analysis (MF-DFA) in a large heterogeneous lake basin, the Poyang Lake basin in China, and the potential impacts of human activities were also explored. Major results indicate that the multifractality of streamflow fluctuations shows significant regional characteristics. In the study catchment, all the daily streamflow series present a strong long-range correlation with Hurst exponents bigger than 0.8. The q-order Hurst exponent h(q) of all the hydrostations can be characterized well by only two parameters: a (0.354 ≤ a ≤ 0.384) and b (0.627 ≤ b ≤ 0.677), with no pronounced differences. Singularity spectrum analysis pointed out that small fluctuations play a dominant role in all daily streamflow series. Our research also revealed that both the correlation properties and the broad probability density function (PDF) of hydrological series can be responsible for the multifractality of streamflow series that depends on watershed areas. In addition, we emphasized the relationship between watershed area and the estimated multifractal parameters, such as the Hurst exponent and fitted parameters a and b from the q-order Hurst exponent h(q). However, the relationship between the width of the singularity spectrum (Δα) and watershed area is not clear. Further investigation revealed that increasing forest coverage and reservoir storage can effectively enhance the persistence of daily streamflow, decrease the hydrological complexity of large fluctuations, and increase the small fluctuations.  相似文献   

Analyzing long-term spatial variability of blue and green water footprints in a semi-arid mountainous basin with MIROC-ESM model (case study: Kashafrood River Basin,Iran)     

A.?Aghakhani AfsharEmail authorView author&#;s OrcID profile  Y.?Hassanzadeh  M.?Pourreza-Bilondi  A.?Ahmadi 《Theoretical and Applied Climatology》2018,132(3-4):885-903

Atmospheric modeling is considered an important tool with several applications such as prediction of air pollution levels, air quality management, and environmental impact assessment studies. Therefore, evaluation studies must be continuously made, in order to improve the accuracy and the approaches of the air quality models. In the present work, an attempt is made to examine the air pollution model (TAPM) efficiency in simulating the surface meteorology, as well as the SO₂ concentrations in a mountainous complex terrain industrial area. Three configurations under different circumstances, firstly with default datasets, secondly with data assimilation, and thirdly with updated land use, ran in order to investigate the surface meteorology for a 3-year period (2009–2011) and one configuration applied to predict SO₂ concentration levels for the year of 2011.The modeled hourly averaged meteorological and SO₂ concentration values were statistically compared with those from five monitoring stations across the domain to evaluate the model’s performance. Statistical measures showed that the surface temperature and relative humidity are predicted well in all three simulations, with index of agreement (IOA) higher than 0.94 and 0.70 correspondingly, in all monitoring sites, while an overprediction of extreme low temperature values is noted, with mountain altitudes to have an important role. However, the results also showed that the model’s performance is related to the configuration regarding the wind. TAPM default dataset predicted better the wind variables in the center of the simulation than in the boundaries, while improvement in the boundary horizontal winds implied the performance of TAPM with updated land use. TAPM assimilation predicted the wind variables fairly good in the whole domain with IOA higher than 0.83 for the wind speed and higher than 0.85 for the horizontal wind components. Finally, the SO₂ concentrations were assessed by the model with IOA varied from 0.37 to 0.57, mostly dependent on the grid/monitoring station of the simulated domain. The present study can be used, with relevant adaptations, as a user guideline for future conducting simulations in mountainous complex terrain.  相似文献