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211.
顶板诱导崩落模式选择时变数值分析 总被引:2,自引:0,他引:2
顶板诱导崩落是一种新的空区处理技术,其实施效果与诱导崩落施工路径、方法和顺序有关,同时矿岩体作为一种弹塑性体,具有非线性时变力学特征。运用时变力学的基本理论,建立了顶板诱导崩落的时变力学有限元基本方程。针对大厂铜坑矿92号矿体试验采场的地质特征,构建了顶板诱导崩落的时变力学有限元模型,采用多步骤开挖模拟两种不同顶板诱导崩落模式,研究两种不同工序的顶板塑性区发展、东西预裂与崩顶硐室的位移及其安全系数,分析了其对采场的综合效应。结果表明,先预裂后崩顶的顶板诱导崩落模式有利于顶板崩落诱导,并综合考虑诱导崩落效果与作业安全,建议采用先预裂爆破后强制崩顶的微差爆破一次成型工艺。 相似文献
212.
羌塘坳陷石油地质走廊剖面重磁异常处理模拟及地质解释 总被引:2,自引:0,他引:2
利用“重磁视深度滤波”方法对羌塘石油地质走廊南、北两条剖面上的实测重磁数据进行处理解释,提取两条剖面位场异常中含有的地质-地球物理断面的初始特征,然后使用最新的“重磁模拟解释系统(GM-SYS)”,以初始特征为模拟初值,以地震、地电和地质资料为约束,进行重磁剖面模拟反演,获得了羌塘盆地南、北两条剖面精细的地质结构解释断面图和栅状图。结合剖面域内的其它资料对走廊域内几个重要地质问题进行了初步的分析和解释,对羌塘盆地石油地质走廊域内的地层、基底、断裂及火山岩分布有了进一步的认识,为整个羌塘盆地区域地质解释及油气远景评价提供了新的解释依据。 相似文献
213.
考虑时变影响的拱坝坝肩空间变形场预测 总被引:1,自引:0,他引:1
坝肩变形是拱坝坝肩稳定状态的综合反映,在运行期呈小变形变化,监测点测值在空间上具有连续性,同时影响拱坝坝肩变形的各种因素具有时变性。通过融合统计回归和多层递阶方法的特点,建立了反映变形场空间和时变特性的空间时变分析模型。实例分析表明,该模型实用有效,预测精度高。考虑时变影响可以提高拱坝坝肩空间变形场的预测能力,对监控拱坝坝肩的实际工作状况有重要意义。 相似文献
214.
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216.
为了实现地面稳定性降低时间与地点、持续作用时间与空间影响分布的全面跟踪监测,该文基于卫星定位连续运行站(CORS)站网观测数据,结合地表水、大气及海平面变化资料,提出了CORS站网时变重力场及负荷形变场精化的已知负荷移去恢复法,建立了基于时变重力场的确定性地面稳定性变化定量辨识准则。以丽水温州地区为例,利用2015-2017年CORS网及有关水文观测数据进行计算分析,根据40起已发生的历史地质灾害(险情)事件对结果进行验证:丽水温州地区的CORS网具备区域重力场变化与地面稳定性跟踪监测能力,具备地质灾害灾变过程追踪与前兆捕获能力,CORS站网的地质灾害前兆提前捕获率可达92.5%。 相似文献
217.
渤海海峡跨海通道建设将极大改变环渤海乃至整个东部沿海的交通格局,势必对其目标城市大连、烟台带来直接的经济影响,同时也会对辽东半岛、山东半岛乃至东北、华北和华东不同尺度地区的经济联系产生深远影响。文章选取山东省17个和辽宁省14个地级市的地区的生产总值、城市人口以及城市间的最短时间距离等指标,测度渤海海峡跨海通道建成前后,对山东、辽宁两省区域城市经济联系的影响。研究表明:渤海海峡跨海通道建成后,对大连、烟台间的经济联系强度有显著提高,各城市经济联系度的平均增幅明显不同;同时,受距离衰减规律的影响,两省的城市分别以大连、烟台为中心,根据距离远近及城市自身发展程度分为4个层次,经济联系强度由内向外逐层次减弱;从整体上看,渤海通道的建设对带动两省城市之间的经济联系度都有大幅度提升。 相似文献
218.
The Orange Basin records the development of the Late Jurassic to present day volcanic-rifted passive margin of Namibia. Regional extension is recorded by a Late Jurassic to Lower Cretaceous Syn-rift Megasequence, which is separated from a Cretaceous to present day post-rift Megasequence by the Late Hauterivian (ca. 130 Ma) break-up unconformity. The Late Cretaceous Post-rift evolution of the basin is characterized by episodic gravitational collapse of the margin. Gravitational collapse is recorded as a series of shale-detached gravity slide systems, consisting of an up-dip extensional domain that is linked to a down-dip zone of contraction domain along a thin basal detachment of Turonian age. The extensional domain is characterized by basinward-dipping listric faults that sole into the basal detachment. The contractional domain consists of landward-dipping listric faults and strongly asymmetric basinward-verging thrust-related folds. Growth stratal patterns suggest that the gravitational collapse of the margin was short-lived, spanning from the Coniacian (ca. 90 Ma) to the Santonian (ca. 83 Ma). Structural restorations of the main gravity-driven system show a lack of balance between up-dip extension (24 km) and down-dip shortening (16 km). Gravity sliding in the Namibian margin is interpreted to have occurred as a series of episodic short-lived gravity sliding between the Cenomanian (ca. 100 Ma) and the Campanian (ca. 80 Ma). Gravity sliding and spreading are interpreted to be the result of episodic cratonic uplift combined with differential thermal subsidence. Sliding may have also been favoured by the presence of an efficient detachment layer in Turonian source rocks. 相似文献
219.
Standard least-squares collocation (LSC) assumes 2D stationarity and 3D isotropy, and relies on a covariance function to account
for spatial dependence in the observed data. However, the assumption that the spatial dependence is constant throughout the
region of interest may sometimes be violated. Assuming a stationary covariance structure can result in over-smoothing of,
e.g., the gravity field in mountains and under-smoothing in great plains. We introduce the kernel convolution method from
spatial statistics for non-stationary covariance structures, and demonstrate its advantage for dealing with non-stationarity
in geodetic data. We then compared stationary and non- stationary covariance functions in 2D LSC to the empirical example
of gravity anomaly interpolation near the Darling Fault, Western Australia, where the field is anisotropic and non-stationary.
The results with non-stationary covariance functions are better than standard LSC in terms of formal errors and cross-validation
against data not used in the interpolation, demonstrating that the use of non-stationary covariance functions can improve
upon standard (stationary) LSC. 相似文献
220.
Johannes Bouman Sietse Rispens Thomas Gruber Radboud Koop Ernst Schrama Pieter Visser Carl Christian Tscherning Martin Veicherts 《Journal of Geodesy》2009,83(7):659-678
One of the products derived from the gravity field and steady-state ocean circulation explorer (GOCE) observations are the
gravity gradients. These gravity gradients are provided in the gradiometer reference frame (GRF) and are calibrated in-flight
using satellite shaking and star sensor data. To use these gravity gradients for application in Earth scienes and gravity
field analysis, additional preprocessing needs to be done, including corrections for temporal gravity field signals to isolate
the static gravity field part, screening for outliers, calibration by comparison with existing external gravity field information
and error assessment. The temporal gravity gradient corrections consist of tidal and nontidal corrections. These are all generally
below the gravity gradient error level, which is predicted to show a 1/f behaviour for low frequencies. In the outlier detection, the 1/f error is compensated for by subtracting a local median from the data, while the data error is assessed using the median absolute
deviation. The local median acts as a high-pass filter and it is robust as is the median absolute deviation. Three different
methods have been implemented for the calibration of the gravity gradients. All three methods use a high-pass filter to compensate
for the 1/f gravity gradient error. The baseline method uses state-of-the-art global gravity field models and the most accurate results
are obtained if star sensor misalignments are estimated along with the calibration parameters. A second calibration method
uses GOCE GPS data to estimate a low-degree gravity field model as well as gravity gradient scale factors. Both methods allow
to estimate gravity gradient scale factors down to the 10−3 level. The third calibration method uses high accurate terrestrial gravity data in selected regions to validate the gravity
gradient scale factors, focussing on the measurement band. Gravity gradient scale factors may be estimated down to the 10−2 level with this method. 相似文献