An optimization method for the generation of ground motions compatible with multi-damping design spectra     

《Soil Dynamics and Earthquake Engineering》2014

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一种新的基于R-D分析的重力匹配辅助导航算法          下载免费PDF全文

王跃钢  文超斌  郭志斌  杨家胜  左朝阳 《地球物理学报》2014,57(5):1424-1432

针对现有重力辅助导航匹配算法匹配精度、匹配率受惯导初始位置误差影响较大以及实时性较差等不足,提出一种实时重力辅助导航匹配算法.新算法利用惯导输出的相对位置信息,提取半径、方向角约束模型,然后通过对相似性进行度量,筛选出待匹配点,得到最优匹配参数,该算法可以在惯导初始误差较大的情况下进行实时、高效匹配.实验结果表明,新算法对惯导初始误差不敏感、鲁棒性好,而且精度高、实时性强.  相似文献   

基于粒子群优化的多指标组合算子的大气污染预报模型   总被引：1，自引：0，他引：1  

赵杰颖  周国飞  李祚泳 《气象与减灾研究》2009,32(2):55-58

根据多指标组合算子法建立了大气污染物浓度预报的参数模型,并采用一种新颖的粒子群优化算法对大气污染物浓度预报模型中的参数进行优化。通过实例计算,该模型同线性回归、模糊模式识别、参数化组合算子方法进行了结果比较,结果表明,所建立的模型比前三种方法平均误差率小,吻合度好,具有较好的预测效果。  相似文献   

Integral equation method for analysis of piled rafts with dissimilar piles under vertical loading     

Fayun Liang  Longzhu Chen  Jie Han 《Computers and Geotechnics》2009

In a piled raft, the length and arrangement of piles has a significant effect on the stresses and deflections of the raft. The use of piles with different dimensions and properties below a raft is an innovative concept and can optimize the design of a piled raft. In this study, an integral equation method with a fictitious pile model was adopted to analyze the piled raft foundation with dissimilar piles. The Fredholm integral equations of the second kind were obtained for this problem. The loads shared by piles and subsoil, the load transfer, and the settlement of the piled raft were obtained using numerical calculation. The results from the present method were compared with those in the literature. An optimization technique was introduced to design piled rafts with dissimilar piles. The stiffening effect of piles on the surrounding soil is also discussed as compared the conventional interaction factor approach.  相似文献   

Cone crusher chamber optimization using multiple constraints     

Dong Gang  Huang Dongming  Fan Xiumin   《International Journal of Mineral Processing》2009,93(2):204-208

The chamber geometry is one of the key factors that influences the performance of a cone crusher. The design of the chamber geometry should take product quality and crushing efficiency into account. In this paper the kinematics of rock material in a crushing chamber, as interparticle breakage occurs, has been analyzed and the chamber division is achieved. Based on the chamber division and a population balance model, the method for chamber geometry design is presented. Combining the empirical model for predicting particle shape with the size distribution model, a flakiness prediction model is proposed. With the size reduction model and flakiness prediction model as constraints, an optimization of the crushing chamber is achieved. Finally, the validity of the crushing chamber optimization model has been verified by an appropriate prototype test.  相似文献   

Parameters optimization on DHSVM model based on a genetic algorithm     

Changqing Yao  Zhifeng Yang 《Frontiers of Earth Science》2009,3(3):374-380

Due to the multiplicity of factors including weather, the underlying surface and human activities, the complexity of parameter optimization for a distributed hydrological model of a watershed land surface goes far beyond the capability of traditional optimization methods. The genetic algorithm is a new attempt to find a solution to this problem. A genetic algorithm design on the Distributed-Hydrology-Soil-Vegetation model (DHSVM) parameter optimization is illustrated in this paper by defining the encoding method, designing the fitness value function, devising the genetic operators, selecting the arithmetic parameters and identifying the arithmetic termination conditions. Finally, a case study of the optimization method is implemented on the Lushi Watershed of the Yellow River Basin and achieves satisfactory results of parameter estimation. The result shows that the genetic algorithm is feasible in optimizing parameters of the DHSVM model.  相似文献   

地理模拟优化系统GeoSoS及前沿研究   总被引：8，自引：0，他引：8  

黎夏  李丹  刘小平  何晋强 《地球科学进展》2009,24(8):899-907

提出地理模拟优化系统(GeoSOS)的概念、研究内容和实现方法,以提供一种十分有效的地理过程分析和空间探索的工具。地理模拟优化系统的理论基础涉及复杂系统理论、地理信息科学、计算机科学、地理学等。所提出的地理模拟优化系统由3个子模块构成:元胞自动机模拟子系统、多智能体模拟子系统和基于生物智能的优化子系统。建立地理模拟优化系统可以为复杂资源环境及变化提供一种有效的模拟和优化工具,弥补目前GIS对过程分析功能的严重不足。  相似文献   

基于Servlet的企业级地理信息网络发布的开发与实现   总被引：2，自引：0，他引：2  

林文鹏  王长耀  林惠花 《测绘科学》2004,29(5):80-82

地理信息由于其在信息世界中的基础地位,迫切要求实现在Web上发布。Servlet是一种在服务器端开发Web应用的Java技术。通过实例,简要分析了Servlet技术特点及其在构建WebGIS上的优势,并结合MapXtremeJava,以Jbuilder为集成开发工具开发了企业级地理信息发布实例———移动通信网络优化系统。重点阐述了系统设计及实现方法。实践表明,本系统具有开放性、安全性等特点,提供了分布式计算平台架构,可实现对移动通信网络资源的可视化管理。Servlet技术用于构建WebGIS不仅可行,而且大大提高并行访问的速度。  相似文献   

DESIGN OF SEDIMENT TRANSPORTING CANAL SECTIONS     

PrabhataK.SWAMEE NimishaSWAMEE 《国际泥沙研究》2004,19(4):312-318

Design equations for minimum area or maximum velocity canal-sections for transport of bulk sediment carried by water have been obtained. Such canals are economically feasible in the terrain where large slopes are available. The design procedure is illustrated by a practical example.  相似文献   

Optimization approach to retrieve soil surface parameters from single-acquisition single-configuration SAR data     

Arsalan Ghorbanian  Mahmod Reza Sahebi  Ali Mohammadzadeh 《Comptes Rendus Geoscience》2019,351(4):332-339

This study suggests a novel approach to the retrieval of soil surface parameters using a single-acquisition single-configuration synthetic-aperture radar (SAR) system. Soil surface parameters such as soil moisture and surface roughness are key elements for many environmental studies, including Earth surface water cycles, energy exchange, agriculture, and geology. Remote sensing techniques, especially SAR data, are commonly used to retrieve such soil surface parameters over large areas. Several backscattering models have been proposed for soil surface parameters retrieval from SAR data. However, commonly, these backscattering models require multi configuration SAR data, including multi-polarization, multi-frequency, and multi-incidence angle. Here we propose a methodology that employs single-acquisition single-configuration SAR data for the retrieval of soil surface parameters. The originality is to use single-acquisition single-configuration SAR data to retrieve the soil surface parameters using an optimization approach by the genetic algorithm (GA); we have used the modified Dubois model (MDM) in HH polarization as the backscattering model. Three HH polarization and C band data sets from Quebec (Radarsat-1), Ontario (SIR-C), and Oklahoma (AIRSAR) were analyzed. The retrieved values of soil moisture and soil surface roughness were then compared to ground truth measurements with corresponding parameters. We employed diverse criteria, including the mean absolute error (MAE), the root mean square error (RMSE), the coefficient of performance (CP), and the correlation coefficient to investigate the performance of the proposed methodology. This analysis suggests the capability of the GA for the retrieval of soil surface parameters. Based on our findings, this method presents a viable alternative approach to the retrieval of soil surface parameters when only single-acquisition single-configuration SAR data is available.  相似文献