A parallel evolutionary strategy based simulation–optimization approach for solving groundwater source identification problems

Groundwater characterization involves the resolution of unknown system characteristics from observation data, and is often classified as an inverse problem. Inverse problems are difficult to solve due to natural ill-posedness and computational intractability. Here we adopt the use of a simulation–optimization approach that couples a numerical pollutant-transport simulation model with evolutionary search algorithms for solution of the inverse problem. In this approach, the numerical transport model is solved iteratively during the evolutionary search. This process can be computationally intensive since several hundreds to thousands of forward model evaluations are typically required for solution. Given the potential computational intractability of such a simulation–optimization approach, parallel computation is employed to ease and enable the solution of such problems. In this paper, several variations of a groundwater source identification problem is examined in terms of solution quality and computational performance. The computational experiments were performed on the TeraGrid cluster available at the National Center for Supercomputing Applications. The results demonstrate the performance of the parallel simulation–optimization approach in terms of solution quality and computational performance.     

位移测量反演分析的解算模型与应用

利用现场位移测量资料反演分析是进行洞室围岩稳定分析和了解岩体介质中洞室的力学性状与设计参数的一种新手段。阐述了位移测量反演分析的基本思路、解算模型、成果检验等,并用计算实例说明了其有效性。     

基于图形处理器的伪谱和高阶有限 差分混合方法地震波数值模拟

伪谱和高阶有限差分混合方法, 在垂直方向采用交错网格有限差分算子, 利用其并行程度高的特点, 在水平方向采用伪谱算子, 保留其高精度的优势, 是计算地震波场的有效方法. 图形处理器(graphic processing unit, 简写为GPU) 由于其高度并行性, 在计算此类问题中有显著的优势. 由英伟达(NVIDIA)公司推出的统一计算设备架构(compute unified device architecture, 简写为CUDA)平台极大地简化了GPU编程的难度. 为提高计算效率, 本文实现了基于CUDA 平台的混合方法二维地震波场模拟. 然后基于二维均匀介质模型将CPU与GPU版本的运行时间进行对比. 实际测试结果表明, 基于CUDA 的并行模拟方法在保证计算精度的同时显著地提高了计算速度, 为开展大规模非均匀地球介质地震波传播数值模拟提供了一种可选的方法.      

Large-sample hydrology: recent progress,guidelines for new datasets and grand challenges

ABSTRACT

Large-sample hydrology (LSH) relies on data from large sets (tens to thousands) of catchments to go beyond individual case studies and derive robust conclusions on hydrological processes and models. Numerous LSH datasets have recently been released, covering a wide range of regions and relying on increasingly diverse data sources to characterize catchment behaviour. These datasets offer novel opportunities, yet they are also limited by their lack of comparability, uncertainty estimates and characterization of human impacts. This article (i) underscores the key role of LSH datasets in hydrological studies, (ii) provides a review of currently available LSH datasets, (iii) highlights current limitations of LSH datasets and (iv) proposes guidelines and coordinated actions to overcome these limitations. These guidelines and actions aim to standardize and automatize the creation of LSH datasets worldwide, and to enhance the reproducibility and comparability of hydrological studies.     

计算机网络的分布式计算环境及分布式处理

本文对网络计算模式、分布式计算环境以及分布式处理机能作了分析和探讨。     

Multiscale approach to geo‐composite cellular structures subjected to rock impacts

Geo‐composite cellular structures are an efficient technological solution for various applications in civil engineering. This type of structure is particularly well adapted to resisting rockfalls and can act as a defensive structure. However, the design of such structures is for the most part empirically based; this lack of research‐based design stagnates optimization and advanced development. In this paper, the mechanical behaviour of a geo‐composite cellular structure is investigated using a multi‐scale approach, from the individual cell made up of an assembly of rocky particles contained in a wire netting cage to the entire structure composed of a regular array of cells. Based on discrete modelling of both the cell and structure scales, a computational tool has been developed for design purposes. Copyright © 2007 John Wiley & Sons, Ltd.     

地市级地理信息共享服务平台设计

随着社会经济与信息技术的不断发展,地市级智慧城市建设提上日程,如何建立一套规范统一而又具有通用性的地理信息共享服务平台是其关键.平台建设必须考虑三方面内容,即建设内容、运维机制与具体应用.在智慧唐山建设过程中,以面向服务为目标,顾及地市级地理信息共享服务平台的通用性,针对总体需求、总体架构、关键技术等方面进行设计,明确地理信息共享服务平台建设的内容、运维机制建设以及示范应用等内容,探讨适用于地市级智慧城市地理信息共享服务平台构建的解决方案.     

利用位置与云计算建立电离层TEC主动式播发平台

提出了利用地理位置信息与云计算模式的电离层总电子含量主动式播发方式,并建设了相应的应用平台。该平台采用了“虚实”组合服务器,将科学计算部分与用户交互分离,充分发挥物理服务器的计算效能,大大提升了平台服务的性能,可根据用户数量进行弹性的服务器配置从而节省平台运行的成本,同时具备多个虚拟服务器备份从而实现平台持续安全运行,并能够有效控制针对特定时空下电离层总电子含量的精度,根据需求进行相应的部署即可服务于区域或者全球用户。     

New formulae for capacity energy-based assessment of liquefaction triggering

Abstract

Liquefaction of loose saturated soil deposits is a hazardous type of ground failure occurring under earthquake excitations. Therefore, an accurate estimation of liquefaction potential is extremely important in geotechnical engineering. In the current study, a new model is proposed which estimates the level of strain energy needed for liquefaction initiation. A compiled database containing cyclic tests gathered from previously published works was used to develop new models to predict liquefaction potential. M5′ algorithm was used to find the best correlation between parameters. It was shown that not only the derived formulas are acceptably accurate but also they feature a very simple structure in comparison with available formulas in the literature. The proposed equations are accurate, physically sound and uncomplicated. Furthermore, safety factors were given for different levels of risk, which can be useful for engineering practice. In addition, the influence of different predictors on the liquefaction potential was evaluated and also the significance of input variables was assessed via sensitivity analysis. Finally, a new model was introduced for preliminary estimation of liquefaction potential.     

侧限压缩下砂土的细观力学特性及其形态分析

本文基于室内固结试验,自行设计加工了土体受到轴向压力和侧限条件时,对土的细观结构进行观测的细观结构观测固结仪.通过对中砂半模固结仪试验的宏观变形场分析选择了细观特征观测点,发现中砂的位移场类似于抛物线形,位移量最大区总是发生在上透水石的底面中心处;利用MiFas图像软件对中砂压缩过程中的显微图像进行处理,分析了中砂试样...