1958～2017年右江出口径流量演变特征分析

为了分析右江1958~2017年出口径流量演变特征，选用线性趋势法、累积平距法、Morlet小波分析法、Mann-Kendall突变检验法等多种方法，从全年、汛期、枯水期三种情况分析了右江出口径流量的变化趋势性、周期性、突变性等特点，并探讨了不同情况演变特征差异的原因、水利枢纽建设的影响、近期变化的趋势。结果表明，年均径流量和汛期平均径流量序列整体呈下降趋势，枯水期平均流量序列整体呈上升趋势；年均径流量和汛期平均径流量序列第一主周期均为37年，枯水期平均径流量序列第一主周期为10年；由于金鸡滩水利枢纽施工建设，年均径流量序列在2004~2007年持续突变，汛期平均径流量序列在2007年发生突变，枯水期平均径流量未发生突变；三种情况演变特征存在差异性主要原因是人类对径流量的利用主要在枯水期；近期年均径流量将继续处于偏多状态，汛期平均径流量将由偏少状态转为偏多状态，枯水期平均径流量将持续保持偏少状态。     

A skeletal n-butane mechanism with integrated simplification method

A new skeletal mechanism of n-butane is developed for describing its ignition and combustion characteristics applicable over a wide range of conditions: initial temperature 690–1430 K, pressure 1–30 atm, and equivalence ratio 0.5–2.0. Starting with a detailed chemical reaction kinetic model of 230 species and 1328 reactions (Healy et al., Combust. Flame, 2010), the directed relation graph method is applied as the first step to derive a semi-detailed mechanism with 134 species. Then, the reaction path analysis in conjunction with temperature sensitivity analysis is used to remove the redundant species and reaction paths simultaneously under the condition of low-temperature and moderate-to-high temperatures, respectively. Finally, a skeletal n-butane mechanism consisting of 86 species and 373 reactions can be obtained. Mechanism validation indicates that the new developed skeletal mechanism is in good agreement with the detailed mechanism in predicting the global ignition and combustion characteristics. The new skeletal mechanism is further validated using extensive available literature data including rapid pressure machine ignition delay time, shock-tube ignition delay time, laminar flame speed, and jet-stirred reaction oxidation, covering a large range of temperatures, pressures, and equivalence ratios. The comparison results demonstrate that a satisfactory agreement between predictions and experimental measurements is achieved.     

Comparison of modeling methods for wind power prediction: a critical study

Prediction of power generation of a wind turbine is crucial, which calls for accurate and reliable models. In this work, six different models have been developed based on wind power equation, concept of power curve, response surface methodology (RSM) and artificial neural network (ANN), and the results have been compared. To develop the models based on the concept of power curve, the manufacturer’s power curve, and to develop RSM as well as ANN models, the data collected from supervisory control and data acquisition (SCADA) of a 1.5 MW turbine have been used. In addition to wind speed, the air density, blade pitch angle, rotor speed and wind direction have been considered as input variables for RSM and ANN models. Proper selection of input variables and capability of ANN to map input-output relationships have resulted in an accurate model for wind power prediction in comparison to other methods.     

Effects of particle fouling and magnetic field on porous fin for improved cooling of consumer electronics

The combined effect of particulate fouling and magnetic field on the efficiency of a convective–radiative porous fin heatsink with temperature‐dependent thermal conductivity is presented. The developed thermal models are solved using differential transformation method. The effects of thermal conductivity, porosity, convection, radiation parameter, and thermal fouling number on the fin thermal efficiency are investigated. The presence of thermal fouling on the surface of the fin is shown to increase the temperature distribution. The presence of particle deposition on the fin surface significantly decreases the rate of heat transfer as additional thermal resistance of the fouling layer decreases the thermal performance of porous fin heatsink. Moreover, the fin efficiency decreases as the value of fouled Biot, Darcy, radiation number, and thermogeometric parameter increases. It is established that M_f < M_c, which indicates that the efficiency of the fouled fin is greater than the efficiency of the clean fin. Furthermore, the result of the present study is validated with the established results of Chebyshev spectral collocation method and fourth‐order Runge–Kutta with shooting method and an error margin of 0.000000023 is established.     

Q690钢焊接接头微观组织对冷裂纹的影响研究

分析了Q690钢手工电弧焊与气体保护焊焊接冷裂纹产生与微观组织的联系。结果表明: 焊接冷裂纹起源于斜Y坡口根部, 沿熔合区、焊缝扩展至焊缝表面;2种工艺焊接的接头组织硬度均较母材高, 而塑性较差。热影响区为马氏体、贝氏体与铁素体混合组织, 焊缝组织由先共析铁素体、侧板条铁素体、贝氏体和针状铁素体等组成, 针状铁素体抗裂纹扩展能力较其他组织强。在2种焊接方法对应断口中观察到了冷裂纹起裂、扩展与断裂区的不同形貌, 起裂与扩展区存在塑性变形, 而断裂区为解理断裂。     

破碎围岩预控顶分段嗣后充填技术研究与实践

针对破碎围岩稳定性差、深部矿压显现剧烈等难题,结合大尹格庄金矿现有采矿工艺,提出预控顶分段嗣后充填技术。在阐述预控顶分段嗣后充填技术特点、施工工艺、技术关键的基础上,采用正交实验优化充填材料配比,重点采用理论分析和数值模拟相结合的方式优化设计采场结构参数。实践表明,预控顶分段嗣后充填技术在各矿得到广泛应用,效益显著。     

有限元SN中子输运模拟的区域分解并行

确定论中子输运方法具有计算速度快、可获取物理量的精细场分布、可高效多物理耦合等优点，随着有限元方法在中子输运模拟中的应用，复杂几何结构、大尺度下的屏蔽问题和临界问题都能得到高保真建模和分析。离散纵标（S_N）法是求解中子输运方程的有效数值方法，基于OpenMP并行机制对各独立离散方向进行并行求解，可提高S_N输运模拟的计算速度，但并行规模较有限。对几何空间进行区域分解并采用MPI并行机制，可实现大规模并行扩展，进而实现对大型问题的高精度快速求解。本文采用并行自适应非结构网格应用框架JAUMIN进行区域分解和进程间通信，通过并行S_N扫描实现了自主有限元输运程序ENTER的高效并行，完成正确性检验后在天河Ⅱ号超级计算机上使用1 440个CPU核完成了1.43×10⁷网格单元、2.81×10⁹自由度规模问题的测试，计算时间约7.4 h。表明该程序具备了有效模拟大型复杂结构中子输运问题的能力，具有一定工程应用价值。     

A two-dimensional air streamer discharge model based on the improved Helmholtz equation at low temperature and sub-atmospheric pressure

In this paper, an efficient boundary condition is applied to solve the photoionization rate, and a two-dimensional numerical simulation is carried out for the development and propagation of an air streamer at low temperature and sub-atmospheric pressure. The results show that the new boundary condition improves the calculation accuracy, but the influence of photoionization on the streamer discharge process is not obvious. The discharge current in the development of streamer discharge is defined, and the corresponding expression of the positive and negative streamer discharge current is given. The influence of the electric field exceeding the threshold value on the discharge process is preliminarily introduced. In the process of discharge, only the propagation velocity of the streamer is obviously higher than that of normal temperature and pressure, and the trend of the other parameters is basically the same as that described in the previous paper. The above results give us a deeper understanding of the discharge characteristics under low temperature and sub-atmospheric pressure, which has certain significance for the development of aviation and high voltage engineering.     

Density estimates on the unit simplex and calculation of the mode of a sample

This paper addresses reliable and efficient calculation of the mode of a multivariate sample, which is a classical fusion function. In particular, we focus on the inputs given on the unit simplex, when aggregating elements of Atanassov intuitionistic fuzzy sets, interval-valued fuzzy sets and their extensions, as well as compositional data. We outline the use of a specially designed 2-additive fuzzy measures and the Choquet integral for the purposes of reducing computational complexity in higher dimensions. We present computational analysis and benchmark four different methods of density-based mode estimation.     

基于RBF网络滑模的电动助力制动系统液压力控制

针对汽车电动助力制动系统（Electro-booster，EBooster）的液压力控制中液压负载的非线性和不一致性问题，提出一种基于径向基函数（Radial based function，RBF）神经网络的滑模变结构控制方法。设计EBooster系统压力控制架构，建立液压制动系统等效结构简化模型，据此设计基于RBF网络滑模变结构的液压力控制方法，通过设计RBF网络的自适应律来实现系统滑模控制参数的自适应调整，并利用李雅普诺夫函数方法分析算法的稳定性。最后搭建电动助力制动系统的快速原型试验平台来验证算法的有效性。试验结果表明，采用RBF神经网络滑模变结构的控制策略对电动助力制动系统液压力的控制误差在2%以内，具有良好的控制效果。研究成果为EBooster系统的压力控制提出一种具有良好自适应性的算法设计思路。