Y/JTG-1下架式陀螺全站仪快速定向

快速精确定向是现代陀螺定向测量的重要研究方向。本文利用下架式陀螺全站仪跟踪测量法精确测定了仪器分划板格值τ和悬带零位系数λ两个重要参数,从而使悬带零位改正更加可靠。并基于下架式陀螺全站仪跟踪测量法进一步提出采用连续采样跟踪法实现快速定向。利用跟踪一个周期的数据进行定向测量,耗时仅需12min左右,定向精度与积分法相当。     

砂岩单轴压缩试验P波速度层析成像及声发射特性研究

深部矿井开采极易诱发矿柱型岩爆,矿柱型岩爆严重威胁着矿山的安全高效开采,为探究矿柱型岩爆破坏机制和前兆信息,选用自贡红砂岩进行单轴压缩试验,并采用主动超声和被动声发射对破裂过程进行监测,联合主动超声与被动声发射监测数据对波速进行层析成像反演,分析试样破裂过程中波速演化规律。研究结果表明：砂岩试样在加载过程中速度模型呈现高度非均质性,在加载过程中会出现低速区,且声发射事件集中出现在低速区内部;P波速度离散度可反映全局波速变化特征,在峰值附近变化剧烈,随荷载增加P波速度离散度持续增大;声发射事件在峰前、峰后定位结果相差较大,峰前阶段声发射事件随机分布,峰后阶段声发射事件定位结果集中。此外,研究发现选用均质速度模型进行声发射事件定位会增大定位误差,试样最终失稳前b值的降低表明试样大尺度裂纹活动加剧,导致岩石非均质性增大,也间接证明了采用非均质速度模型进行声发射震源定位的必要性。该研究结果可用于现场矿柱稳定性监测,定期反演获得矿柱波速变化为矿柱型岩爆提供先兆预警信息。     

浅钻技术在若尔盖地区泥炭调查中的应用

泥炭是一种具有多种用途的宝贵自然资源,泥炭中的有机碳储量是研究全球碳库变化及碳循环过程的重要参数。由于泥炭多分布于沼泽中,且泥炭松软含水量大的特性,对于泥炭深度的调查、获取用于测试泥炭原状样品的质量不高,导致泥炭碳储量评价仍存在不确定性和偏差。笔者等在典型泥炭形成地若尔盖沼泽湿地地区,开展了浅钻泥炭调查取样工作,通过在泥炭斑块边缘及中心两种不同沼泽湿地地层开展的试验,验证了轻便钻机在难进入的沼泽湿地的适应性,配套的振动冲击工艺可高质量的获得无扰动的泥炭样品,同时查明了泥炭层的厚度。通过试验初步探索了采用轻便钻机配套振动冲击钻进工艺进行泥炭调查取样的有效性。浅层取样钻探作为泥炭调查取样的一种直接有效的技术手段,可以有效地提高泥炭调查效率和精度,为准确评价泥炭储量数据提供可靠的钻探技术服务支撑。     

自适应顺序采样Kriging方法及其在增量动力分析中的应用

复杂结构的增量动力分析（IDA）对于结构的抗震设计和分析有着重要意义,但需对结构进行大量的非线性时程分析,计算量成本高。本文结合Kriging元模型和自适应顺序采样并用于结构增量动力分析以提高其计算效率和精度,其中:Kriging元模型用于预测结构的地震响应,顺序采样根据候选点的熵值补充非线性时程分析逐步增加Kriging模型的预测精度。借助本文方法,IDA曲线可通过少量的时程分析实现较高的精度。为了校验本文方法的可行性与有效性,对二层和九层钢框架结构模型应用直接IDA、hunt&fill方法和本文方法分析并比较了上述三种方法的计算误差、计算效率和IDA曲线差别。在此基础上本文将自适应顺序采样Kriging方法用于考虑结构不确定性参数的IDA分析,并和传统的蒙特卡洛方法进行比较。结果表明:该方法具有较高的计算效率,可以保证IDA曲线的精度。     

矿用钻孔超声流量自适应检测技术

为了更好地实现煤矿井下瓦斯抽采钻孔端流量监测,针对管路内介质成分复杂、纯净度差、稳定性差等因素对抽采流量参数测量准确性影响的问题,提出以时差法为测量原理,以双阈值比较法为检测方法,设计了一套矿用钻孔超声流量自适应检测系统。通过分析影响双阈值比较法测量准确性的关键问题出发,设计了检测系统的总体方案,并对其中激励信号放大电路、接收信号调理电路及由峰值检波电路与增益控制电路构成的自适应电路几项关键模块进行了详细地介绍,叙述了检测系统运行软件的工作流程。通过工况环境适应能力测试与准确度性能检验,对检测系统的功能与性能进行了检验,检验结果表明,该系统能够适应瓦斯抽采钻孔管路内的工况需求,实现高精度的气体流量测量。      

电感耦合等离子体质谱法测定灌木枝叶中微量元素的样品预处理方法研究

利用电感耦合等离子体质谱法(ICP-MS)测定植物样品中微量元素的关键技术是消除植物样品的有机基体效应,本文通过预处理方法中的酸消解体系、称样量和消解方式消除其影响。以国家标准物质灌木枝叶组合样(GBW07603)为材料进行研究,对比分析了硝酸-过氧化氢、硝酸-氢氟酸、硝酸-氢氟酸-过氧化氢3种酸溶体系的消解效果,以确定最佳酸溶体系,进而定量研究2种称样量(50 mg和100 mg)和3种消解方式(密封高压二次消解、密封高压一次消解、微波消解)的消解效果,并以In作为内标采用ICP-MS测定微量元素含量。结果表明:硝酸-氢氟酸-过氧化氢酸溶体系的消解效果最好;50 mg的测定值更接近于参考值;微波消解法的测定值明显偏低,而密封高压二次消解法是灌木枝叶样品预处理的有效方法。     

Importance sampling based algorithm for efficient reliability analysis of axially loaded piles

In reliability analysis, the crude Monte Carlo method is known to be computationally demanding. To improve computational efficiency, this paper presents an importance sampling based algorithm that can be applied to conduct efficient reliability evaluation for axially loaded piles. The spatial variability of soil properties along the pile length is considered by random field modeling, in which a mean, a variance, and a correlation length are used to statistically characterize a random field. The local averaging subdivision technique is employed to generate random fields. In each realization, the random fields are used as inputs to the well-established load transfer method to evaluate the load–displacement behavior of an axially loaded pile. Failure is defined as the event where the vertical movement at the pile top exceeds the allowable displacement. By sampling more heavily from the region of interest and then scaling the indicator function back by a ratio of probability densities, a faster rate of convergence can be achieved in the proposed importance sampling algorithm while maintaining the same accuracy as in the crude Monte Carlo method. Two examples are given to demonstrate the accuracy and the efficiency of the proposed method. It is shown that the estimate based on the proposed importance sampling method is unbiased. Furthermore, the size of samples can be greatly reduced in the developed method.     

Linking pesticides and human health: A geographic information system (GIS) and Landsat remote sensing method to estimate agricultural pesticide exposure

Accurate pesticide exposure estimation is integral to epidemiologic studies elucidating the role of pesticides in human health. Humans can be exposed to pesticides via residential proximity to agricultural pesticide applications (drift). We present an improved geographic information system (GIS) and remote sensing method, the Landsat method, to estimate agricultural pesticide exposure through matching pesticide applications to crops classified from temporally concurrent Landsat satellite remote sensing images in California. The image classification method utilizes Normalized Difference Vegetation Index (NDVI) values in a combined maximum likelihood classification and per-field (using segments) approach. Pesticide exposure is estimated according to pesticide-treated crop fields intersecting 500 m buffers around geocoded locations (e.g., residences) in a GIS. Study results demonstrate that the Landsat method can improve GIS-based pesticide exposure estimation by matching more pesticide applications to crops (especially temporary crops) classified using temporally concurrent Landsat images compared to the standard method that relies on infrequently updated land use survey (LUS) crop data. The Landsat method can be used in epidemiologic studies to reconstruct past individual-level exposure to specific pesticides according to where individuals are located.     

The Petrology and Mineralogy Analysis of Noble Metal Alloys in the Inclusions of a Chondrite: An Implication on the Evolution of the Solar Nebula

The calcium-aluminium-rich inclusions (CAIs) in chondrites are believed to be the most early solids formed in the solar system, and retain the original information of the early solar nebula. However, in-depth researches revealed that most inclusions had experienced a complex history of evolution, including partial melting and secondary alteration. Focused on the refractory and chemically stable noble metal particles in the CAI of a CV meteorite (NWA 2140), a study of astrochemistry is made in this paper. The petrology and mineralogy analysis as well as the composition determination have been made on the noble metal particles. Based on the result of composition analysis, the thermodynamic process experienced by the CAI is inferred, and two kinds of noble metal alloys are identified, which correspond to the early-stage condensation products and the secondary alteration products of primordial metals, respectively.     

The effect of a dense atmosphere on the tidally induced potential of Titan

The effect of the dense atmosphere of Titan on the tidal variations of the external gravitational potential of degree two is quantified. The atmospheric tides perturb the external gravitational potential of Titan in two ways. First, the atmosphere itself contributes directly to the external gravitational potential with a period of 15.945 days. Second, the variable loading of the atmosphere induces mass redistribution within Titan, which also changes the external gravitational potential. It is shown that the relative atmospheric contributions to the tides are most likely less than 2% and vanish almost completely for the most plausible models with a subsurface ocean. This suggest that atmospheric tidal perturbations will contribute only negligibly to Cassini measurements of Titan's gravitational field so that the tidal Love numbers derived from these observations can be directly interpreted in terms of the satellite's interior.