特长隧道风仓接力通风关键参数及其效果研究

通过长斜井进入正洞施工的特长隧道,往往面临独头通风距离过长、工作面风量不足等问题,造成污染物难以在规定时间排出洞外。以衢宁铁路鹫峰山隧道风仓接力施工通风为依托,采用数值模拟方法研究了风仓长度、隔板长度及风机布置方式对轴流风机通风效率的影响,分析了原压入式通风和风仓接力通风洞内CO运移特性。结果表明,风仓长度从10 m增至25 m时,轴流风机通风效率大幅提高,风仓长度大于25 m时,对轴流风机通风效率的影响不大。设置中隔板会影响空气在风仓内的分流并产生较多旋流,从而降低风机通风效率;轴流风机远离斜井端对称布置,风仓内部风流的引流速度和引流范围最大,风流运动路径最优,通风效率最高。由于压入式通风受限于斜井断面尺寸及现场布置方式,当通风距离超过3 000 m后,无法满足洞内作业环境规定的条件。在正洞与斜井交叉部位设置密封的风仓,形成接力通风,能大幅度延长通风距离,提高通风效率,改善洞内空气质量。     

不同孔径排放钻孔有效影响半径的时空响应

针对矿井在施工排放钻孔局部防突措施时,已知排放时间,如何确定排放钻孔孔径和钻孔间距这一难题,提出一种钻屑量和钻屑瓦斯解吸指标现场测试法,结合数值模拟计算,确定不同孔径排放钻孔有效排放半径随时间的变化规律。研究结果表明:同一孔径排放钻孔,随着排放时间的增加,有效排放半径呈幂指数增大;不同孔径排放钻孔,随着排放钻孔直径的增加,有效排放半径呈幂指数增大。研究结论对矿井选取合适的排放钻孔孔径及布置参数具有指导意义。     

基于船舶操纵模拟的船撞桥概率研究

针对船舶在桥区水域航行过程中撞击桥墩的碰撞概率问题,建立并验证了船舶操纵数学模型,模拟了船舶在不同风、水流等条件下的航行情况,改进了AASHTO船舶撞桥概率模型中几何概率的算法,提出了以模拟试验样本的航迹带中心位置坐标为均值,以模拟实验样本结果计算的方差为方差的几何概率模型,同时引入停船概率模型。将改进后的模型应用于北江油金大桥船舶操纵模拟及船撞概率的研究,预测2020年北江油金大桥受上行船舶碰撞年频率大约2.81×10-6次/a,受下行船舶碰撞年频率3.43×10-4次/a,总碰撞频率3.461×10-4次/a。     

气固两相流90°弯管抗冲蚀结构优化

为了提高天然气输送管道90°弯管的耐磨性能,提出了1种三段弯曲式弯管,通过对弯管弯曲段进行三段式改进来减小弯管中二次流的大小,优化弯管内的流场,改善弯管的冲蚀磨损状况。利用COMSOL仿真软件建立三段式弯管模型,并以弯管弯曲段和出口段二次流平均值之和最小为优化目标,在约束条件下凭借COMSOL中的COBYLA优化算法得到了最优管形;用Fluent对优化后的三段式弯管进行冲蚀数值模拟并与一段式弯管的模拟结果进行对比分析。研究结果表明:与一段式90°弯管相比,优化后的三段式弯管流场更加平稳,其弯曲段的二次流强度大幅降低,弯管壁面的冲蚀磨损程度得到较大的改善。     

空间阻塞对室内燃气泄漏爆炸影响研究

以餐饮企业的熟食操作间为例建立物理模型,通过CFD方法模拟不同空间阻塞度下天然气泄漏爆炸情形。研究结果表明:阻塞率在99.95%~100%时,燃气浓度呈现反抛物线式上升。空间阻塞率在99.982%时（开敞面积1 m2）,泄漏1 200 s,熟食操作间燃气浓度值可达6%;空间阻塞率在99.955%（开敞面积2.5 m2）~100%时,燃气爆炸后熟食操作间内产生的超压最大值均大于30 kPa;当空间阻塞率在99.991%（开敞面积0.5 m2）~100%时,设定工况下爆炸超压随空间阻塞率呈指数式增加。研究认为,空间阻塞率在99.95%以上,燃气泄漏极易形成可燃蒸汽云,发生爆炸产生冲击波超压能够毁坏建筑物,在生产和生活中,对于有燃气使用的空间,应尽可能降低空间阻塞率,以避免可能的燃气泄漏形成危险域和爆炸形成过高冲击波超压。     

应用系统动力学原理制定小流域经济建设决策

本文应用系统动力学原理，就太平沟小流域资源的开发利用进行了系统分析，绘制了ＳＤ模型流程图，编制了ＳＤ模型程序，经微机模拟仿真，确定了“综合型”发展为该流域资源开发利用方向，为该类型区小而域经济建设及两高一优农业发展提供了科学依据和方法。     

Using Modeling to Improve Monitoring of Structured Populations: Are We Collecting the Right Data?

Abstract:  Population monitoring is central to most demographic studies and conservation efforts, but it may not always be directed at the most appropriate life stage. We used stochastic simulation modeling to evaluate the effectiveness of a monitoring program for a well-studied population of Eastern Imperial Eagles ( Aquila heliaca ) in Kazakhstan. Specifically, we asked whether the most appropriate data were being collected to understand system state and population dynamics. Our models were parameterized with data collected over the course of 25 years of study of this population. We used the models to conduct simulation experiments to evaluate relationships between monitored or potentially monitored parameters and the demographic variables of interest—population size ( N ) and population growth (λ). Static analyses showed that traditional territory-based monitoring was a poor indicator of eagle population size and growth and that monitoring survivorship would provide more information about these parameters. Nevertheless, these same traditionally monitored territory-based parameters had greater power to detect long-term changes in population size than did survivorship or population structure. Regardless of the taxa considered, threats can have immediate impacts on population size and growth or longer-term impacts on population dynamics. Prudently designed monitoring programs for any species will detect the demographic effects of both types of threats.     

A Reliability and Risk Analysis System for Multipurpose Reservoir Operation

This paper proposes a reliability analysis system, which can be widely applied to the cases in which a reservoir is operated to meet several purposes such as flood control, energy generation, irrigation, domestic and industrial water supply, etc. The presented system has a structure of three levels.1. Decision-making.2. Tradeoff analysis.3. The third level that mainly consists of three subsystems:i – The reservoir flood risk analysis subsystem by flood control simulation.ii – The benefit promotion subsystem of reservoir operation using Stochastic Dynamic Programming. In this subsystem, the Lagrange multipliers are introduced into the objective function to take into account the water supply failures. This method guarantees that each run of the SDP will necessarily derive a non-inferior policy for reservoir operation.iii – The reservoir operation simulation subsystem to derive the performance indices associated with the reservoir operation policies. With the input and feedback between the second level and the subsystems of the third level, a great deal of efficient operation policies and the associated performance indices can be obtained. Then the tradeoff relationships between different performance indices can be derived for the decision makers. With application to Yudong Reservoir in Yunnan province of China, the presented analysis system is practically tested.     

A statistical evaluation of non-ergodic variogram estimators

Geostatistics is a set of statistical techniques that is increasingly used to characterize spatial dependence in spatially referenced ecological data. A common feature of geostatistics is predicting values at unsampled locations from nearby samples using the kriging algorithm. Modeling spatial dependence in sampled data is necessary before kriging and is usually accomplished with the variogram and its traditional estimator. Other types of estimators, known as non-ergodic estimators, have been used in ecological applications. Non-ergodic estimators were originally suggested as a method of choice when sampled data are preferentially located and exhibit a skewed frequency distribution. Preferentially located samples can occur, for example, when areas with high values are sampled more intensely than other areas. In earlier studies the visual appearance of variograms from traditional and non-ergodic estimators were compared. Here we evaluate the estimators' relative performance in prediction. We also show algebraically that a non-ergodic version of the variogram is equivalent to the traditional variogram estimator. Simulations, designed to investigate the effects of data skewness and preferential sampling on variogram estimation and kriging, showed the traditional variogram estimator outperforms the non-ergodic estimators under these conditions. We also analyzed data on carabid beetle abundance, which exhibited large-scale spatial variability (trend) and a skewed frequency distribution. Detrending data followed by robust estimation of the residual variogram is demonstrated to be a successful alternative to the non-ergodic approach.     

Using the bootstrap with two-phase adaptive stratified samples from multiple populations at multiple locations

Recently the two-phase adaptive stratified sampling design proposed by Francis (1984) has been extended by Manly et al. (2002) for situations where several biological populations are sampled simultaneously, and where this is done at several different geographical locations in order to estimate population totals or means. The method uses the results from a first phase sample to decide how best to allocate a second phase sample to locations and strata, in order to maximise a criterion (based on estimated coefficients of variation) that measures the accuracy of estimation for population totals, for all variables at all locations. One potential problem with this method is bias in the estimators of the population totals and means. In this paper bootstrapping is considered as a means of overcoming these biases. It is shown using model populations of Pacific walrus and shellfish, based on real data, that bootstrapping is a useful tool for removing about half of the bias. This is also confirmed from some simulations using artificial data.