氯盐阻化剂对煤自燃极限参数影响的试验研究

阻化技术是防治煤自燃的常用技术之一,研究阻化剂对煤自燃极限参数的影响是确定阻化效果的关键.采用程序升温试验,分析气煤和长焰煤的原煤样和经MgCl2、KCl、CaCl2、NaCl 4种阻化剂处理后的煤样耗氧速率和放热强度,并计算自燃极限参数和阻化率.结果表明:氯盐阻化剂可降低煤自燃低温阶段的煤耗氧速率和放热强度;4种阻化剂中对气煤煤样的平均阻化率最高是MgCl2 (63.6％),对长焰煤则是CaCl2 (45.9％),平均阻化率与自燃极限参数变化率呈正相关;气煤经MgCl2处理后自燃极限参数变化率最大,长焰煤经CaCl2阻化处理后的自燃极限参数变化率最大,对于气煤4种阻化剂阻化能力由大到小为MgCl2 KCl、CaCl2、NaCl,对长焰煤则为CaCl2、MgCl2、KCl、NaCl;氯盐阻化剂中MgCl2对气煤自燃极限参数影响最大,阻化效果好,而对长焰煤则为CaCl2.     

基于无人机多光谱的沼泽植被识别方法

为了探究高分辨率无人机多光谱数据对沼泽植被群丛识别能力,在洪河国家级自然保护区的核心区、缓冲区和实验区分别建立典型样区,通过低空无人机搭载的RGB及多光谱相机获取研究区正射影像,构建多维数据集并确立4种分类方案.采用面向对象的随机森林（RF）算法,对输入的多维数据集进行变量选择和参数（mtry、ntree）调优,构建适合沼泽植被群丛尺度识别模型.结果表明：优化的面向对象的RF算法对沼泽湿地植被具有较高的识别能力,在95%的置信区间内,核心区方案四（结合了光谱波段、纹理特征、几何特征、位置特征、地表高程信息和植被指数）获得最高总体精度为87.12%,kappa系数为0.850,比方案二（结合了光谱波段、几何特征和位置特征）总体精度高12.27%,kappa系数高0.140;对于单一典型沼泽湿地植被识别精度中,芦苇获得最高的用户精度高于88%,生产者精度高于90%,小叶章的生产者精度高于85%,但是在核心区用户精度较低,仅为78%.该方法可以作为沼泽植被群丛识别的有效方法,为研究沼泽湿地生态环境变化提供更准确的数据支持.     

基于相关向量机模型的腐蚀声发射信号识别

相关向量机(RVM)模型的分类性能与其核函数参数的选择有密切关系。本文分别利用人工蜂群算法(ABC)、粒子群算法(PSO)和遗传算法(GA)寻找相关向量机模型的最优参数,对几种方法的寻优性能进行了对比。采用基于二叉树结构的一对多扩展方法,对二分类相关向量机模型进行了扩展,建立了四分类模型。基于该分类模型对罐底腐蚀声发射信号进行识别,将声发射特征参数和频域参数作为模型的输入参数,获得了较好的识别结果。     

液压振动台功率谱复现控制研究

PID控制因为结构简单、稳定性好、可靠性高等优点被广泛应用。针对实际控制系统往往存在非线性因素,常规PID不能满足实际需求,设计了基H1法频响函数估计的变参数PID控制算法。通过对两点激励液压振动试验系统进行随机振动试验,表明H1法变参数PID控制算法对振动台具有良好的控制效果,可以实现高精度的功率谱复现。     

Two-Dimensional Automatic Control Modeling of a Posture Control System

A posture control model has been developed on the basis of the 2-dimensional feedback control theory. Human postural characteristics were investigated in 5 healthy participants. Tests were performed with eyes open and eyes closed. After 5 s of quiet standing, each participant was unexpectedly pulled forward by 30 mm at his pelvis height and then released. Postural sway was measured over 20 s at a rate of 100 per second. Transfer functions to represent the posture control characteristic were identified by the least squares' method. These showed good results of the model's fitness, predictability, and stability. The response of the eyes-closed condition to perturbation is more oscillatory than that of the eyes-open condition. It seems that the model identified could be applicable to ergonomics, sports, or clinical situations.     

心理迫切因素对行人疏散动力学的影响研究

为更准确地描述行人疏散动力学特征,利用目前行人疏散模型对行人疏散进行模拟研究发现:疏散空间行人拥堵时,会出现疏散区域某些位置的行人一直处于竞争劣势而保持位置不动的现象,这与行人实际疏散运动不符.考虑到现实情况,行人在等待的过程中会积极寻找机会,实现成功疏散;基于此,在疏散模型中引入了心理迫切因素的概念,表征了行人等待过程中竞争能力的变化,完善了行人疏散模型.对新模型模拟研究发现,在考虑等待时的心理迫切因素后,该模型能够更好地表达行人疏散的动力学特征,可更为准确地再现行人的疏散运动轨迹和路径,同时研究发现,引入等待迫切因素后并不会影响总的疏散时间.     

Oracle-based optimization applied to climate model calibration

In this paper, we show how oracle-based optimization can be effectively used for the calibration of an intermediate complexity climate model. In a fully developed example, we estimate the 12 principal parameters of the C-GOLDSTEIN climate model by using an oracle-based optimization tool, Proximal-ACCPM. The oracle is a procedure that finds, for each query point, a value for the goodness-of-fit function and an evaluation of its gradient. The difficulty in the model calibration problem stems from the need to undertake costly calculations for each simulation and also from the fact that the error function used to assess the goodness-of-fit is not convex. The method converges to a ‘best fit’ estimate over 10 times faster than a comparable test using the ensemble Kalman filter. The approach is simple to implement and potentially useful in calibrating computationally demanding models based on temporal integration (simulation), for which functional derivative information is not readily available.     

A CFD based explosion risk analysis methodology using time varying release rates in dispersion simulations

A full probabilistic Explosion Risk Analysis (ERA) is commonly used to establish overpressure exceedance curves for offshore facilities. This involves modelling a large number of gas dispersion and explosion scenarios. Capturing the time dependant build up and decay of a flammable gas cloud size along with its shape and location are important parameters that can govern the results of an ERA. Dispersion simulations using Computational Fluid Dynamics (CFD) are generally carried out in detailed ERA studies to obtain these pieces of information. However, these dispersion simulations are typically modelled with constant release rates leading to steady state results. The basic assumption used here is that the flammable gas cloud build up rate from these constant release rate dispersion simulations would mimic the actual transient cloud build up rate from a time varying release rate. This assumption does not correctly capture the physical phenomena of transient gas releases and their subsequent dispersion and may lead to very conservative results. This in turn results in potential over design of facilities with implications on time, materials and cost of a project.In the current work, an ERA methodology is proposed that uses time varying release rates as an input in the CFD dispersion simulations to obtain the fully transient flammable gas cloud build-up and decay, while ensuring the total time required to perform the ERA study is also reduced. It was found that the proposed ERA methodology leads to improved accuracy in dispersion results, steeper overpressure exceedance curves and a significant reduction in the Design Accidental Load (DAL) values whilst still maintaining some conservatism and also reducing the total time required to perform an ERA study.     

支持向量机在边坡稳定性预测中的应用

针对离子型稀土原地浸矿边坡稳定性问题的小样本、非线性等特点,采用一种边坡稳定性预测模型——支持向量机(SVM)模型,分别使用网格参数寻优、遗传算法(GA)参数寻优、粒子群(PSO)寻优算法来计算SVM模型的参数,分析比较3种算法得到的参数,确定最适合离子型稀土原地浸矿边坡稳定性预测的SVM回归模型的参数寻优算法。     

湿法脱硫后烟气中SO3/硫酸雾测试方法的试验

在自行设计和搭建的模拟湿法脱硫烟气系统中,研究了基于控制冷凝法原理的SO_3/硫酸雾采集装置对湿法脱硫后SO_3/硫酸雾的捕集性能,重点考察了螺旋管与石英棉冷凝温度、采样枪温度、采样流量、采样时间和SO_3/硫酸雾质量浓度对SO_3/硫酸雾捕集性能的影响。结果表明,在研究范围内,湿法脱硫后SO_3/硫酸雾采集装置优化的操作参数为:螺旋管及石英棉冷凝温度95℃,采样枪温度280℃,采样流量17 L/min,采样时间30 min。SO_3/硫酸雾质量浓度较高时,螺旋冷凝管对SO_3/硫酸雾的捕集起主要作用,其捕集的SO_3/硫酸雾比例在75.8%~80.8%,远高于螺旋冷凝管与石英棉捕集SO_3/硫酸雾的比例;SO_3/硫酸雾质量浓度较低(约1mg/m3)时,采样枪对SO_3/硫酸雾的捕集起主要作用,其捕集SO_3/硫酸雾的比例大于50%。