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11.
介绍了国内外普遍使用的多种型号的冲击式,压入式,射入式,吸入式海底取样器的结构,工作原理和性能参数,并分析了各种取样器在海底的贯入过程及各自的性能特点。  相似文献   
12.
基坑开挖数值分析中土体硬化模型参数的试验研究   总被引:8,自引:0,他引:8  
王卫东  王浩然  徐中华 《岩土力学》2012,33(8):2283-2290
土体硬化模型已成为基坑数值分析中最常用的本构模型之一,其应用的关键是计算参数的确定。首先采用薄壁取土器现场取得土样,通过基于GDS的三轴固结排水剪切试验、三轴固结排水卸载-再加载试验及标准固结试验获得了上海典型土层土体的三轴试验应力-应变曲线和固结试验荷载-应变关系曲线。然后根据曲线确定了各土层的HS模型参数,建立了各土层HS模型参数中切线模量 、割线模量 、加载模量 的比例关系,并探讨了这些模量与压缩模量 之间的比例关系。最后将各层的模型参数与模量间的比例关系与国内外其他软土地区的结果进行了比较。试验结果可作为上海地区及其他软土地区基坑工程数值分析中确定HS模型参数时的参考。  相似文献   
13.
三维旋转式自动进样器的研制   总被引:1,自引:0,他引:1  
介绍了自行研制的三维旋转式自动进样器的结构和特点,提出了三维模式、气动升降臂、旋转定位的自动进样器解决方案,并成功地用于自动进样器的研制。文章中给出了三维旋转式自动进样器的组成,气动式升降臂控制原理和系统的软件流程。  相似文献   
14.
WITSEG集沙仪:风洞用多路集沙仪   总被引:12,自引:9,他引:12  
风沙流通量廓线(风沙流结构)是以不同轨迹运动的沙粒在垂直方向上的宏观反映。建立风沙流通量廓线函数需要测定不同高度的输沙率。为此,我们设计了适用于风洞实验的多路集沙仪(WITSEG集沙仪),并通过风洞实验对其进行了检验。WITSEG集沙仪高60 cm,由60个进沙口和集沙盒组成,每个进沙口高1 cm。该集沙仪可以测量风沙流中60个不同高度的输沙率。在设计WITSEG集沙仪时,着重实用性和集沙效率。为了使用方便,带有进沙口的入口段、集沙盒和保护盖板设计为活动式。为了提高集沙效率,入口段设计成楔形,使得进沙口宽0.5 cm,而集沙盒宽度为1.5 cm。每个集沙盒留有两个过滤网排气孔,以减小集沙盒内的静压、提高采集效率。风洞实验检验表明,用WITSEG集沙仪测得的风沙流结构和总输沙率与风速的关系与已广泛接受的结论非常一致。WITSEG集沙仪能观测输沙率随高度的详细变化,是研究风沙流结构的较好工具。  相似文献   
15.
北京北部城区 SO2和NO2浓度垂直分布特点初探   总被引:11,自引:3,他引:11  
2001年1~3月在中国科学院大气物理研究所320 m铁塔10个不同高度(320、240、200、140、100、80、47、15、8 m和地面)使用无动力扩散采样器对SO2和NO2日平均总量及夜间平均浓度进行了观测.结果表明,200m以下高度SO2和NO2浓度较大.北京城区不同高度大气中SO2的浓度1月份最高.NO2浓度1月份和2月份呈现高值.不同高度SO2和NO2浓度与逆温强度有明显的正相关.  相似文献   
16.
大气冰核观测是研究自然冷云降水和人工影响天气的一项基础性工作,滤膜—扩散云室法是观测冰核浓度的主要方法之一。为检测分析两种滤膜采集方法对冰核观测结果的影响,2011—2015年用自制的大气颗粒物采样器和FA-3型撞击式9级采样器开展了平行采样试验,采集的滤膜样本均在同一静力扩散云室中进行冰核活化显现分析。结果表明:自制采样器较9级采样器观测的冰核浓度高数倍甚至数十倍,但两者随季节和不同气象条件的变化表现出一致的起伏特征。自制采样器适用于对大气中总的冰核浓度分布及理化特征研究;9级采样器适用于对PM10中不同粒径段大气冰核浓度和尺度分布以及理化特征的研究。滤膜法对冰核数量的低估与采样体积成正比,改变采样器气泵的抽气流量和控制采样体积对改进“体积效应”影响均有明显效果。  相似文献   
17.
The accurate measurement of suspended sediment (<200 μm) in aquatic environments is essential to understand and effectively manage changes to sediment, nutrient, and contaminant concentrations on both temporal and spatial scales. Commonly used sampling techniques for suspended sediment either lack the ability to accurately measure sediment concentration (e.g., passive sediment samplers) or are too expensive to deploy in sufficient number to provide landscape‐scale information (e.g., automated discrete samplers). Here, we evaluate a time‐integrated suspended sediment sampling technique, the pumped active suspended sediment (PASS) sampler, which collects a sample that can be used for the accurate measurement of time‐weighted average (TWA) suspended sediment concentration and sediment particle size distribution. The sampler was evaluated against an established passive time‐integrated suspended sediment sampling technique (i.e., Phillips sampler) and the standard discrete sampling method (i.e., manual discrete sampling). The PASS sampler collected a sample representative of TWA suspended sediment concentration and particle size distribution of a control sediment under laboratory conditions. Field application of the PASS sampler showed that it collected a representative TWA suspended sediment concentration and particle size distribution during high flow events in an urban stream. The particle size distribution of sediment collected by the PASS and Phillips samplers were comparable and the TWA suspended sediment concentration of the samples collected using the PASS and discrete sampling techniques agreed well, differing by only 4% and 6% for two different high flow events. We should note that the current configuration of the PASS sampler does not provide a flow‐weighted measurement and, therefore, is not suitable for the determination of sediment loads. The PASS sampler is a simple, inexpensive, and robust in situ sampling technique for the accurate measurement of TWA suspended sediment concentration and particle size distribution.  相似文献   
18.
Random errors for the harmonic coefficients of a geopotential model are generated from the matrix of normal equations by a parallel computer applying the Gibbs sampler. This leads to random values for the harmonic coefficients. They are transformed by nonlinear, quadratic transformations to random values for the square roots of degree variances, of mean squares of geoid undulations and gravity anomalies. The expected values of these quantities are not equal to the values of these quantities computed by the estimated harmonic coefficients, due to correlations and errors in the estimation. By hypothesis tests estimated harmonic coefficients distorted by correlations and errors are detected. Applying the tests to the geopotential model ITG-CHAMP01 of the Institute of Theoretical Geodesy in Bonn it is concluded that above the degree 62 the harmonic coefficients cannot add any information to the geopotential model.  相似文献   
19.
Manually collected snow data are often considered as ground truth for many applications such as climatological or hydrological studies. However, there are many sources of uncertainty that are not quantified in detail. For the determination of water equivalent of snow cover (SWE), different snow core samplers and scales are used, but they are all based on the same measurement principle. We conducted two field campaigns with 9 samplers commonly used in observational measurements and research in Europe and northern America to better quantify uncertainties when measuring depth, density and SWE with core samplers. During the first campaign, as a first approach to distinguish snow variability measured at the plot and at the point scale, repeated measurements were taken along two 20 m long snow pits. The results revealed a much higher variability of SWE at the plot scale (resulting from both natural variability and instrumental bias) compared to repeated measurements at the same spot (resulting mostly from error induced by observers or very small scale variability of snow depth). The exceptionally homogeneous snowpack found in the second campaign permitted to almost neglect the natural variability of the snowpack properties and focus on the separation between instrumental bias and error induced by observers. Reported uncertainties refer to a shallow, homogeneous tundra-taiga snowpack less than 1 m deep (loose, mostly recrystallised snow and no wind impact). Under such measurement conditions, the uncertainty in bulk snow density estimation is about 5% for an individual instrument and is close to 10% among different instruments. Results confirmed that instrumental bias exceeded both the natural variability and the error induced by observers, even in the case when observers were not familiar with a given snow core sampler.  相似文献   
20.
Estimating overland flow erosion capacity using unit stream power   总被引:2,自引:0,他引:2  
Soil erosion caused by water flow is a complex problem. Both empirical and physically based approaches were used for the estimation of surface erosion rates. Their applications are mainly limited to experimental areas or laboratory studies. The maximum sediment concentration overland flow can carry is not considered in most of the existing surface erosion models. The lack of erosion capacity limitation may cause over estimations of sediment concentration. A correlation analysis is used in this study to determine significant factors that impact surface erosion capacity. The result shows that the unit stream power is the most dominant factor for overland flow erosion which is consistent with experimental data. A bounded regression formula is used to reflect the limits that sediment concentration cannot be less than zero nor greater than a maximum value. The coefficients used in the model are calibrated using published laboratory data. The computed results agree with laboratory data very well. A one dimensional overland flow diffusive wave model is used in conjunction with the developed soil erosion equation to simulate field experimental results. This study concludes that the non-linear regression method using unit stream power as the dominant factor performs well for estimating overland flow erosion capacity.  相似文献   
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