基于气囊缓冲的某火箭炮着陆冲击分析

目的减小火箭弹着陆冲击加速度。方法基于LS-DYNA瞬态动力学分析软件和冲击动力学理论,采用有限元软件HYPERMESH建立火箭炮-气囊系统有限元模型,采用显式动力学方法对火箭炮-气囊系统的着陆冲击缓冲过程进行仿真。分析火箭炮在正常着陆工况下,火箭弹的着陆冲击响应,得出空投装备速度、加速度变化曲线,以及气囊的体积、压力曲线。结果在正常着陆工况下,火箭弹横向加速度的最大值为122 m/s2,小于安全的横向加速度;火箭弹纵向加速度的最大值为48.3 m/s2,小于安全的纵向加速度;火箭弹的最大轴向力为2640 N,小于安全闭锁力。结论在火箭炮着陆冲击过程中,气囊缓冲装置吸收了大部分冲击能量,起到了良好的缓冲作用,火箭弹的冲击加速度、闭锁力均在安全范围内。采用显式动力学方法对火箭炮的着陆冲击过程进行分析是可行的。     

Ordination of Plant Communities in Forest Biogeocenoses under Conditions of Air Pollution in the Northern Kola Peninsula

The species diversity and structure of the tree, herb–dwarf shrub, and moss–lichen layers in the biogeocenoses (BGCs) of pine forests of the Kola Peninsula were analyzed in the zone affected by the Pechenganikel Combined Works. Relationships of the diversity of phytocenoses with the amount of atmospheric fallout and the concentrations of accessible compounds of polluting elements (nickel and copper) and nutrients (potassium, magnesium, and nitrogen) in forest litters were revealed.     

湖北省区域经济差异评价及协调发展对策研究

本文从区域经济差异内涵出发 ,设计了由 11个指标所组成的区域经济差异评价指标体系 ,采取多元统计中的因子分析法和加法合成模型 ,对湖北省 17个区域的经济差异进行了定量评价与比较 ,得出了区域经济差异不断扩大的结论。对此 ,文章从如何建立多层次的区域城市网络体系 ,发挥中心城市在区域经济协调发展中的作用 ,如何调整区域产业布局与产业结构 ,如何促进发达区域与不发达区域共同发展等 3方面 ,提出了湖北省区域经济协调发展的有关对策。     

基于模糊聚类关联分析法的煤与瓦斯突出程度分析

运用模糊聚类分析方法对煤与瓦斯突出的样本集合进行分类,建立了不同突出程度的模糊模式.用关联分析确定待分析样本与模式的关联程度,以此预测预报样本的煤与瓦斯突出危险程度.实例分析表明,与模糊聚类分类后、将模式与待预报样本组成新样本集合进行聚类分析并以此分类结果进行预报的方法相比,这种预报方法不仅可靠程度高,而且能定量描述待报样本与模式的亲和程度.     

A robust approach for iterative contaminant source location and release history recovery

Contamination source identification is a crucial step in environmental remediation. The exact contaminant source locations and release histories are often unknown due to lack of records and therefore must be identified through inversion. Coupled source location and release history identification is a complex nonlinear optimization problem. Existing strategies for contaminant source identification have important practical limitations. In many studies, analytical solutions for point sources are used; the problem is often formulated and solved via nonlinear optimization; and model uncertainty is seldom considered. In practice, model uncertainty can be significant because of the uncertainty in model structure and parameters, and the error in numerical solutions. An inaccurate model can lead to erroneous inversion of contaminant sources. In this work, a constrained robust least squares (CRLS) estimator is combined with a branch-and-bound global optimization solver for iteratively identifying source release histories and source locations. CRLS is used for source release history recovery and the global optimization solver is used for location search. CRLS is a robust estimator that was developed to incorporate directly a modeler's prior knowledge of model uncertainty and measurement error. The robustness of CRLS is essential for systems that are ill-conditioned. Because of this decoupling, the total solution time can be reduced significantly. Our numerical experiments show that the combination of CRLS with the global optimization solver achieved better performance than the combination of a non-robust estimator, i.e., the nonnegative least squares (NNLS) method, with the same solver.     

Contribution of anthropogenic pollutants to the increase of tropospheric ozone levels in the Oporto Metropolitan Area, Portugal since the 19th century

The main purpose of this study was to evaluate the contribution of anthropogenic pollutants to the increase of tropospheric ozone levels in the Oporto Metropolitan Area (Portugal) since the 19th century. The study was based on pre-industrial and recent data series, the results being analyzed according to the atmospheric chemistry. The treatment of ozone and meteorological data was performed by classical statistics and by time-series analysis. It was concluded that in the 19th century the ozone present in the troposphere was not of photochemical origin, being possible to consider the respective concentrations as reference values. For recent data a cycle of 8h for ozone concentrations could be related to traffic. Compared to the 19th century, the current concentrations were 147% higher (252% higher in May) due to the increased photochemical production associated with the increased anthropogenic emissions.     

模糊综合评价法在道路运输企业安全评价中的应用

我国道路运输企业交通安全形势比较严峻,推行道路运输企业安全综合评价是降低道路运输企业交通事故的有效途径之一.本文运用Delphi法和AHP法建立了道路运输企业安全层次分析模型,构建了安全综合评价指标体系.选用基于"差动"原理的赋权法--G1法计算各指标的权重,应用模糊综合评价法对其进行安全综合评价.采用平均加权法对评价因素的各项指标进行量化处理,从而得到道路运输企业安全的综合评价结果.最后,对陕西省一家道路运输企业进行了实际验证,比较真实地反映了此企业的安全状况.     

某场地边坡稳定分析方法的比较研究*

为了对边坡稳定性分析方法进行研究,以某场地高填方边坡和直立边坡为研究对象,基于Geostudio、理正软件以及ANSYS软件,采用M-P法、Bishop法和强度折减法进行边坡稳定分析。结果表明:高填方边坡安全系数为1.3,为稳定边坡;AB,BC,CD段地块间边坡边坡安全系数依次为0.479,0.410,0.381,基坑边坡安全系数为0.436,均为不稳定边坡;其中,M-P法得到的安全系数偏保守,Bishop法得到的安全系数结果较可靠,强度折减法得到的结果最为理想。研究结果可为边坡稳定性研究与治理提供借鉴。     

基于电磁辐射峰谷比值法的煤与瓦斯突出预警

为了提高电磁辐射预警煤与瓦斯突出危险的准确性,减少误报现象,在分析大量电磁辐射现场数据基础上,基于电磁辐射预警煤与瓦斯突出危险原理,提出了电磁辐射峰谷比值法,利用正态分布统计特征计算每个班次的电磁辐射瞬时强度峰值均值和谷值均值,并将其比值作为煤与瓦斯突出危险性的预警值。最后,将该方法应用于义忠煤矿11112风巷掘进工作面,研究结果表明:与临界值系数和动态变化趋势系数法相比,峰谷比值法误报较低,预警准确性高,能够很大程度上减少误报对生产的影响。     

Pipeline leakage detection and isolation: An integrated approach of statistical and wavelet feature extraction with multi-layer perceptron neural network (MLPNN)

Leakage diagnosis of hydrocarbon pipelines can prevent environmental and financial losses. This work proposes a novel method that not only detects the occurrence of a leakage fault, but also suggests its location and severity. The OLGA software is employed to provide the pipeline inlet pressure and outlet flow rates as the training data for the Fault Detection and Isolation (FDI) system. The FDI system is comprised of a Multi-Layer Perceptron Neural Network (MLPNN) classifier with various feature extraction methods including the statistical techniques, wavelet transform, and a fusion of both methods. Once different leakage scenarios are considered and the preprocessing methods are done, the proposed FDI system is applied to a 20-km pipeline in southern Iran (Goldkari-Binak pipeline) and a promising severity and location detectability (a correct classification rate of 92%) and a low False Alarm Rate (FAR) were achieved.