Discrete element modeling for the study of the effect of soft inclusions on the behavior of soil mix material

The influence of soil inclusions on the mechanical behavior of deep soil mix material was studied by discrete element simulations in combination with some laboratory tests. The innovative aspect of the simulations was that individual fracturing in the heterogeneous material was modeled. It was observed that the reduction of strength and stiffness did not correspond to the weighted average of the UCS and Young’s modulus, taking into account the volumes of the strong and weak material. The actual reduction was considerably larger, e.g., on average the strength was reduced by 13% and 50% for 1% and 10% of inclusions, respectively. Moreover, other parameters, such as the shape, number, and relative position of inclusions, also have an important influence on the strength and stiffness. First, sharp-ended inclusions have a more negative impact on the strength and stiffness than rounded inclusions. Second, one large inclusion reduces strength and stiffness more than three smaller inclusions with the same shape and accounting for the same total volume percentage. Finally, diagonally-located and more-concentrated inclusions have a more negative impact on the mechanical behavior than vertically-aligned and widely-spread inclusions. The results of the numerical simulations showed good agreement with the results of laboratory tests with regard to the effect on strength and stiffness as well as the observed fracture patterns.     

The MultiDark Database: Release of the Bolshoi and MultiDark cosmological simulations

We present the online MultiDark Database – a Virtual Observatory‐oriented, relational database for hosting various cos‐mological simulations. The data is accessible via an SQL (Structured Query Language) query interface, which also allows users to directly pose scientific questions, as shown in a number of examples in this paper. Further examples for the usage of the database are given in its extensive online documentation. The database is based on the same technology as the Millennium Database, a fact that will greatly facilitate the usage of both suites of cosmological simulations. The first release of the MultiDark Database hosts two 8.6 billion particle cosmological N‐body simulations: the Bolshoi (250 h^–1 Mpc simulation box, 1 h^–1 kpc resolution) and MultiDark Run1 simulation (MDR1, or BigBolshoi, 1000 h^–1 Mpc simulation box, 7 h^–1 kpc resolution). The extraction methods for halos/subhalos from the raw simulation data, and how this data is structured in the database are explained in this paper. With the first data release, users get full access to halo/subhalo catalogs, various profiles of the halos at redshifts z = 0–15, and raw dark matter data for one time‐step of the Bolshoi and four time‐steps of the MultiDark simulation. Later releases will also include galaxy mock catalogs and additional merger trees for both simulations as well as new large volume simulations with high resolution. This project is further proof of the viability to store and present complex data using relational database technology. We encourage other simulators to publish their results in a similar manner. (© 2013 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)     

基于VIIRS火点数据和FARSITE系统的森林火灾蔓延模拟

针对森林火灾模型模拟、预测火灾蔓延结果精度随时间增加而降低的问题,提出了使用卫星遥感火监测数据重初始化火灾模型降低模拟结果误差的方法。使用FARSITE (Fire Area Simulator)火灾模拟系统模拟内蒙古自治区一场森林火灾,并使用375 m的VIIRS (Visible infrared Imaging Radiometer Suite)火监测数据对FARSITE重初始化,探究该方法在中国林火蔓延模拟中的应用。使用SC (S?rensen’s Coefficient)值,辅以多源卫星遥感数据,评估该方法模拟结果精度。结果显示,各模拟过程中,模拟结果精度均随模拟时间的增加而降低,重初始化的模拟结果与实际过火区一致性更高,VIIRS重初始化模拟结果 SC值最高提高56.89%,最终SC值提高了45.45%;最终模拟结果的SC值从最初的54.14%经过VIIRS火点修正后提高到78.76%;模拟过程中的VIIRS火点重初始化的模拟结果 SC值最高为87.8%。使用VIIRS火监测数据重初始化FARSITE火灾模拟系统,将火灾分为多次进行模拟,缩短模拟时间,有效控制模拟误差的传递...     

EPR and SQUID magnetometry study of Cu2FeSnS4 (stannite) and Cu2ZnSnS4 (kesterite)

An EPR and SQUID magnetometry study of Cu₂FeSnS₄ (stannite) and Cu₂ZnSnS₄ (kesterite) has been performed in order to gain a deeper insight into the crystal chemistry of these minerals, in which the mixed character of bonds lends uncertainty to the determination of the metal valence states. EPR investigations were performed down to almost liquid nitrogen temperature on both natural and synthetic samples of stannite and kesterite. The interpretation of their parameters (g- and T-tensors) was refined by computer simulation. The main feature of all the spectra is the unstructured signal centered at about 0.310 T due to the presence of Cu(II). The absence of structure in the signal is due to spin-spin exchange interaction between Cu(II) and Fe(II), pointing to a diluted distribution of Cu(II). The temperature dependence of the Cu(II) signal can be related to a topological variation of the first-neighbors coordination. The SQUID measurements, while allowing a more precise interpretation of the EPR data, led to a full characterization of magnetic behavior of stannite and kesterite down to liquid helium temperature, evidencing antiferromagnetic interactions between the Fe(II) ions in all samples but in synthetic kesterite. From the EPR and SQUID experimental data no evidence was provided for the existence of two different structures for stannite and kesterite. Received: 2 August 1999 / Accepted: 7 January 2000     

Experimental and numerical modelling of sedimentation in a rectangular shallow basin

Numerical simulation of flows in shallow reservoirs has to be checked for its consistency in predicting real flow conditions and sedimentation patterns. Typical flow patterns may exhibit flow separation at the inlet, accompanied by several recirculation and stagnation areas all over the reservoir surface. The aim of the present research project is to study the influence of the geometry of a reservoir on sediment transport and deposition numerically and experimentally, focusing on a prototype reservoir depth between 5 and 15 m as well as suspended sediment transport.
A series of numerical simulations is presented and compared with scaled laboratory experiments, with the objective of testing the sensitivity to different flow and sediment parameters and different turbulence closure schemes. Different scenarios are analyzed and a detailed comparison of preliminary laboratory tests and some selected simulations are presented.
The laboratory experiments show that suspended sediment transport and deposition are determined by the initial flow pattern and by the upstream and downstream boundary conditions. In the experiments, deposition in the rectangular basin systematically developed along the left bank, although inflow and outflow were positioned symmetrically along the centre of the basin. Three major horizontal eddies developed influencing the sediment deposition pattern. Although asymmetric flow patterns are privileged, a symmetric pattern can appear from time to time. This particular behaviour could also be reproduced by a two-dimensional depth-averaged flow and sediment transport model （CCHE2D）. The paper presents numerical simulations using different turbulence closure schemes （k-ε and eddy viscosity models）. In spite of the symmetric setup, these generally produced an asymmetric flow pattern that can easily switch sides depending on the assumptions made for the initial and boundary conditions. When using the laboratory experiment as a reference, the most reliable numerical results have been obtai     

冰晶异质核化对雷暴云电过程影响的数值模拟

引入一种新型冰晶异质核化方案,基于二维雷暴云模式,探讨雷暴云电过程对三种异质核化的响应.结果 表明:浸润核化是冰晶生成的最重要异质核化过程,较高数浓度的冰晶消耗雷暴云内液态水含量,抑制淞附过程,导致霰粒子比含水量低,表现为较强的负极性非感应起电率;接触核化生成的冰晶量最少,仅对雷暴云中下层3～5 km处的冰晶有贡献,同...     

非绝热物理过程对北京暴雨数值预报不确定性影响

选取了2001年8月发生于北京市的具有不同大尺度环流强迫特征的两次强降水过程,利用MM5模式和国家气象中心的T213预报资料,分析了模式非绝热物理过程对北京市暴雨数值预报的影响特征和不确定性,探讨了解决暴雨预报不确定性的集合预报方法,进行了多物理模式集合预报试验。试验结果表明:模式非绝热物理参数化方案对精细化预报结果有明显影响,包括局地降水强度、空间分布型态、时间演变特征等;在高分辨率模式中,采用积云对流参数化方案后,会出现更多的小量级降水预报,且不论是大尺度强迫较强的暴雨,还是大尺度强迫较弱的暴雨,对流参数化方案都是造成降水预报不确定性的重要因素。多物理集合预报的初步试验结果表明,高分辨率集合预报可提供有价值的预报信息,是解决灾害性天气预报不确定性的一种有效的技术方法,但就目前的模式水平而言,可重点发展降水集合预报,特别是强降水集合预报系统,以反映模式在降水预报中存在的不确定性。     

干旱区天气、气候数值模拟的研究进展

干旱区的气候模拟有着很强特殊性。气候模式是研究和探讨干旱区形成物理机制的有效手段和工具。介绍了近年来国内外干旱气候数值模拟和试验的研究与进展．总结和评述了陆面过程中地表反照率、土壤湿度、植被状况的参数化和对气候的影响．讨论和阐述陆面过程在气候模拟中的重要性。对干旱区的气候和天气灾害的数值模式模拟研究作了一些评述，并对干旱区数值模拟的有关问题进行了讨论和展望。指出干旱区陆面过程的深入研究和干旱区陆面参数的标定，是改进干旱区气候模拟的重要途径。     

青藏高原冬春季积雪异常对中国春夏季降水的影响

利用1956年12月～1998年12月共42a，青藏高原及其附近地区78个积雪观测站的雪深和我国160站月降水的距平资料，分析了其气候特征，并用SVD方法分析了冬春季积雪异常与春夏季我国降水异常的关系。用区域气候模式RegCM2模拟了青藏高原积雪异常的气候效应并检验了诊断分析的结果。分析表明，雪深异常，尤其是冬季雪深异常是影响中国降水的一个因子。研究证明，高原冬季雪深异常对后期中国区域降水的影响比春季雪深异常的影响更为重要。数值模拟的结果表明，高原雪深和雪盖的正异常推迟了东亚夏季风的爆发日期，减弱了季风强度，造成华南和华北降水减少，而长江和淮河流域降水增加。冬季雪深异常比冬季雪盖异常和春季雪深异常对降水的影响更为显著。机理分析指出，高原及其邻近地区的积雪异常首先通过融雪改变土壤湿度和地表温度，从而改变了地面到大气的热量、水汽和辐射通量。由此所引起的大气环流变化又反过来影响下垫面的特征和通量输送。在湿土壤和大气之间，这样一种长时间的相互作用是造成后期气候变化的关键过程。与干土壤和大气的相互作用过程有本质差别。     

时间域航空电磁各向异性大地三维自适应有限元正演研究

各向异性介质模型电性结构复杂,如何进行合理的网格剖分成为获得高精度正演结果的关键,为此本文开展时间域航空电磁各向异性大地三维自适应有限元正演算法研究.通过结合非结构时间域有限元算法和自适应网格优化技术,实现各向异性介质条件下三维时间域航空电磁自适应正演.考虑到时间域航空电磁响应随时间的衰减特性,为了综合评价不同时刻的后验误差,本文将时间作为加权因子,调整各个时刻后验误差的相对权重,进而实现对浅部和深部网格的同步优化.通过与一维解析结果进行对比验证了本文算法的可靠性.数值实验结果显示电导率各向异性对自适应网格影响严重,其最大主轴电导率的数值及其分布特征直接决定了网格加密效果.此外,各向异性对时间域航空电磁三分量响应的分布形态和异常幅值也会产生严重影响,利用全域视电阻率极性图,可以很好地识别各向异性主轴方向.