Large Eddy Simulation on Interaction Between in-Line and Cross-Flow Oscillation of A Circular Cylinder

This paper discusses numerical results from three-dimensional large eddy simulations of an oscillating cylinder under prescribed movements in uniform flow. Six cases,namely pure in-line,pure cross-flow and two groups of 'Figure of Eight' oscillation patterns are under investigation at Reynolds number Re=24000. The 'Figure of Eight' pattern in each group is with identical shape but opposite orbital directions. The numerical results on hydrodynamic forces,higher order force components,and vortex shedding mode...     

基于GIS和VRML技术的东圳水库3维仿真建模

以福建省莆田市东圳水库为例,讨论了基于VRML的水库及其周围地理环境、流域状况仿真建模过程,以及所采用的技术和方法。通过仿真系统可以直观分析水库的环境情况,水库管理者可在场景中漫游,从不同位置进行观察分析,进而提出相应解决措施。同时该系统作为对水库进行研究的人机交互平台,可进行实时完善和扩展。     

塔里木盆地东河砂岩沉积和储层特征及综合分析

东河砂岩是一套海侵初期的沉积产物，东河砂岩不是一个等时沉积体，相当于晚泥盆世晚期至早石炭世早期沉积，具体沉积时间各地有差异。由于东河砂岩是覆盖广泛的海侵初期沉积，因此具有海侵初期填平补齐的特征，其沉积相决定于海侵的速度、沉积物的供给和海侵前的古地貌。塔北地区受塔北古隆起的阻挡，海水在古隆起周围滞留时间较长，又有较粗粒的物源供给，其沉积产物主要是滨岸海滩沉积；塔中地区由于地形复杂，沉积类型也比较复杂，底部砾岩段有河流相沉积，而块状砂岩段和砂砾岩段有河口湾和滨岸海滩沉积，不同段在成分、分选性和粒级上有较大的差异；而其它低平地区主要是海侵期快速的滨岸和陆架沉积。受沉积因素影响，东河砂岩有效储层的分布具有地域性；除沉积因素外，低的地温梯度和短期的深埋藏是优质储层发育的重要控制因素。     

深部软岩巷道锚注支护数值模拟研究

采用大型有限元数值模拟软件ANSYS,对深部软岩巷道锚注支护前后围岩变形破坏规律进行了数值模拟,对锚注支护前后围岩的应力、位移及塑性区的变化情况等进行了系统分析,结果表明,锚注支护显著提高了围岩的强度和承载能力,有效地控制了深部软岩巷道的损伤变形。     

人工鱼礁工程的风险评估

对台风暴潮影响下的嵊泗海域人工鱼礁工程做了风险评估,考虑了台风暴潮中出现的大浪和风暴潮减水对鱼礁联合作用的危害。风险评估分为危险灾害识别、失效概率计算、失效后果评估、风险准则评定和风险管理决策几个主要的步骤。在失效概率的计算中采用基于应用设计点的重点抽样法随机模拟的技术,这一随机模拟技术可以广泛的应用与海洋工程结构的风险评估当中。     

正理庄高89-1区块CO2混相驱参数优化数值模拟研究

为了确保高89-1区块CO2混相驱项目的顺利实施,依据该区块的精细油藏描述成果,在优化适于CO2混相驱模型基础上,建立了符合油藏地质特点的三维地质模型。在此基础上对开发指标进行计算,对五个参数（井网、开发方式、压力水平、注入量和采油速度）进行优化,并提出了推荐方案,预测采收率可达23.10%,比弹性开采方式提高15.16%。     

祁连-海原地震带中强地震序列类型分布及其应用

研究了1970年以来发生于祁连—海原地震带的18次中强地震序列特征，在此基础上确定了地震序列类型，研究了各种类型地震序列的分布规律．结果表明，该带的18次中强地震序列中有44%为主震型，56%为孤立型．西海固地区的中强地震序列一般为孤立型；101°～103.5°E范围内的祁连山中东段的中强地震序列一般为主震型；99°～101°E范围内的祁连山中段为孤立型和主震型序列并存；99°E以西的祁连山西段的中强地震序列为孤立型．将上述结果应用于2000年6月6日景泰MS5.9地震的震后趋势快速判定，判定结果与实际地震活动情况符合．     

Methodology and use of tensor invariants for satellite gravity gradiometry

Although its use is widespread in several other scientific disciplines, the theory of tensor invariants is only marginally adopted in gravity field modeling. We aim to close this gap by developing and applying the invariants approach for geopotential recovery. Gravitational tensor invariants are deduced from products of second-order derivatives of the gravitational potential. The benefit of the method presented arises from its independence of the gradiometer instrument’s orientation in space. Thus, we refrain from the classical methods for satellite gravity gradiometry analysis, i.e., in terms of individual gravity gradients, in favor of the alternative invariants approach. The invariants approach requires a tailored processing strategy. Firstly, the non-linear functionals with regard to the potential series expansion in spherical harmonics necessitates the linearization and iterative solution of the resulting least-squares problem. From the computational point of view, efficient linearization by means of perturbation theory has been adopted. It only requires the computation of reference gravity gradients. Secondly, the deduced pseudo-observations are composed of all the gravitational tensor elements, all of which require a comparable level of accuracy. Additionally, implementation of the invariants method for large data sets is a challenging task. We show the fundamentals of tensor invariants theory adapted to satellite gradiometry. With regard to the GOCE (Gravity field and steady-state Ocean Circulation Explorer) satellite gradiometry mission, we demonstrate that the iterative parameter estimation process converges within only two iterations. Additionally, for the GOCE configuration, we show the invariants approach to be insensitive to the synthesis of unobserved gravity gradients.     

A two-layer model for studying 2D dissolved pollutant runoff over impermeable surfaces

Dissolved pollutants in stormwater are a main contributor to water pollution in urban environments. However, many existing transport models are semi-empirical and only consider one-dimensional flows, which limit their predictive capacity. Combining the shallow water and the advection–diffusion equations, a two-dimensional physically based model is developed for dissolved pollutant transport by adopting the concept of a ‘control layer’. A series of laboratory experiments has been conducted to validate the proposed model, taking into account the effects of buildings and intermittent rainfalls. The predictions are found to be in good agreement with experimental observations, which supports the assumption that the depth of the control layer is constant. Based on the validated model, a parametric study is conducted, focusing on the characteristics of the pollutant distribution and transport rate over the depth. The hyetograph, including the intensity, duration and intermittency, of rainfall event has a significant influence on the pollutant transport rates. The depth of the control layer, rainfall intensity, surface roughness and area length are dominant factors that affect the dissolved pollutant transport. Finally, several perspectives of the new pollutant transport model are discussed. This study contributes to an in-depth understanding of the dissolved pollutant transport processes on impermeable surfaces and urban stormwater management.     

On the quantitative evaluation of metamorphic fluid composition: Verification of the results of physicochemical simulations for water-mineral-rock reactions

This paper reports the results of a comparison of the qualitative physicochemical simulations (by the Winsel program complex) of the composition of the reacting fluid with experimental data on the water-electrolyte (NaCl, HCl, NaOH, and KOH)-mineral (quartz, corundum, microcline, and plagioclase) system and the water-electrolyte-rock (granite and pelite) system at 400–800°C and 1–10 kbar. Constraints are proposed for the temperature, pressure, and the composition of the electrolyte at which the simulation results are consistent with the experimental data.