一维水沙耦合模型参数敏感性分析——以2020年黄河下游洪水演进为例北大核心CSCD

一维水沙输移及河床冲淤模型中有较多理论上尚未解决的参数,而这些参数对一维模型精度的影响缺少定量分析。本文首先介绍了一维水沙耦合动力学模型,并将其应用于2020年汛期黄河下游的水沙过程模拟。计算结果表明:该模型能准确模拟水位和流量的变化,纳什效率系数基本大于0.85,均方根误差比相应的实测特征值小一个量级;计算沙峰虽然偏大,但计算的含沙量过程与实测过程整体符合,且模型计算的分河段冲淤量与断面地形法实测值较为接近。为分析模型中经验参数对模型计算结果的影响,以水文断面特征水沙参数的纳什效率系数作为目标函数,采用Sobol全局敏感性分析方法计算了各经验参数的敏感度指标。计算结果表明:糙率的总敏感度指标较高,是模型的高敏感参数;目标函数的选取对参数敏感度分析有一定影响,以含沙量纳什效率系数为目标函数时,挟沙力公式的系数及淤积时恢复饱和系数公式中指数的一阶敏感度和总敏感度指标较高;各参数组合对不同目标函数的影响差别较大,但对于同一目标函数存在影响作用相似的参数组合。全局敏感性分析方法刻画了模型参数的敏感性特征,有助于优化水沙数学模型参数取值。     

一种双边LCC补偿无线电能传输变换器谐振网络设计方法

针对双边LCC补偿方式的无线电能传输变换器,提出了一种谐振网络设计方法：基于抑制谐波电流、压缩磁元件体积以及在最大传输距离与最大横向偏移状态传输功率可接近额定功率的考虑,依据额定传输功率、开关频率等约束条件,确定谐振网络全部元件(包括松耦合变压器)的电参数。在此基础上提出了一种相应的带磁芯平面螺旋线圈松耦合变压器尺寸设计方案：依据松耦合变压器处于最大传输距离、最大横向偏移状态时的互感值,从理论上估算出其尺寸范围,再以少量有限元仿真搜索到其最佳尺寸。设计并制作了一台额定输出功率为4.5 kW的样机,验证了所提设计方法的正确性。     

雷击对碳纤维增强型航空复合材料损伤的影响

依据有限元仿真软件ABAQUS,建立碳纤维增强型复合材料(CFRP)层合板雷击损伤热-电耦合有限元仿真模型。利用叠加温度场的方法来近似表示内部受损状态,通过对比实验验证热-电耦合仿真方法的正确性与有效性。利用回归统计分析技术,定量分析雷电参数与CFRP雷击损伤的相关性,并绘制相关曲线。结果表明:雷电流比能是决定CFRP雷击损伤的关键因素,纤维破坏面积、分层面积与比能具有线性相关性,树脂破坏面积、分层厚度与比能具有对数相关性。     

承水压混凝土结构损伤机理与渗透特性研究综述

研究承水压混凝土结构的损伤与渗透问题有利于地下工程结构的安全运营,譬如山岭隧道、城市地下结构等。从构成材料损伤理论框架的三个主要方面(场变量的定义、损伤演化方程、本构行为关系)系统地阐述混凝土的损伤机理,并宏细观地分析了混凝土损伤的基本特性。分析了水压下的混凝土渗透行为特性,并针对渗透对混凝土结构的破坏机理进行阐述。剖析混凝土渗流与混凝土损伤之间的耦合机理,建立了渗流-损伤耦合模型。     

Energy coupled to matter for magnetic alignment of rare earth–doped alumina

Energy coupled to matter (ECM) concepts such as magnetic field–assisted processing were used to align rare earth–doped alumina ceramics in the presence of applied fields. The addition of gadolinium and ytterbium dopants to alumina increased the magnetic susceptibility anisotropies, and induced magnetic torques that led to significant alignment of ceramic particles under the application of magnetic fields as low as 1.8?T. In comparison, undoped alumina materials showed minimal alignment under applied field strengths as high as 9?T. Density function theory modeling indicated that the specific dopant type dictated changes in the magnetic properties of different rare earth–doped alumina systems by directly affecting the magnetic moment localization and magnetocrystalline anisotropy.     

Sub‐Micron Anisotropic InP‐based III–V Semiconductor Material Deep Etching for On‐Chip Laser Photonics Devices

Two InP‐based III–V semiconductor etching recipes are presented for fabrication of on‐chip laser photonic devices. Using inductively coupled plasma system with a methane free gas chemistry of chlorine and nitrogen at a high substrate temperature of 250 °C, high aspect ratio, anisotropic InP‐based nano‐structures are etched. Scanning electron microscopy images show vertical sidewall profile of 90° ± 3°, with aspect ratio as high as 10. Atomic Force microscopy measures a smooth sidewall roughness root‐mean‐square of 2.60 nm over a 3 × 3 μm scan area. The smallest feature size etched in this work is a nano‐ring with inner diameter of 240 nm. The etching recipe and critical factors such as chamber pressure and the carrier plate effect are discussed. The second recipe is of low temperature (?10 °C) using Cl₂ and BCl₃ chemistry. This recipe is useful for etching large areas of III–V to reveal the underlying substrate. The availability of these two recipes has created a flexible III–V etching platform for fabrication of on‐chip laser photonic devices. As an application example, anisotropic InP‐based waveguides of 3 μm width are fabricated using the Cl₂ and N₂ etch recipe and waveguide loss of 4.5 dB mm^?1 is obtained.

     

参数未知的自适应耦合同步及其在保密通信中的应用

在实际应用中,系统参数会随着环境的变化而变化,因此研究参数不确定混沌系统的同步更具有实际应用价值。文章针对参数完全未知的混沌系统,基于单向耦合同步方法,实现了混沌系统的自适应同步,为证明系统同步进行了严格的数学推导,并将同步的混沌系统应用到混沌保密通信中。计算机仿真表明混沌系统能够快速达到同步,且在混沌保密通信系统的接收端,有用信号可以有效地恢复出来,从而证明文章提出的方法有效且可行。     

Adaptive synchronization of uncertain coupled stochastic complex networks

In this paper, the problem of adaptive synchronization of uncertain coupled complex networks is investigated. Some controllers and adaptive laws are designed to ensure achieving synchronization of a general complex network model. In particular, synchronization of coupled stochastic networks subject to random perturbations is studied, with a referenced node introduced as the target node for synchronization. An example is simulated on delayed neural networks coupled in a small‐world network topology, which demonstrates the feasibility and effectiveness of the proposed adaptive control method. Copyright © 2010 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society     

Coordination control of greenhouse environmental factors

Optimal control of greenhouse climate is one of the key techniques in digital agriculture. Greenhouse climate, a nonlinear and uncertain system, consists of several major environmental factors such as temperature, humidity, light intensity, and CO₂ concentration. Due to the complex coupled correlations, it is a challenge to achieve coordination control of greenhouse environmental factors. This paper proposes a model-free coordination control approach for greenhouse environmental factors based on Q-learning. Coordination control policy is found through systematic interaction with the dynamic environment to achieve optimal control for greenhouse climate with the control cost constraints. In order to decrease systematic trial-and-error risk and reduce the computational complexity in Q-learning algorithm, case-based reasoning (CBR) is seamlessly incorporated into the Q-learning process. The experimental results demonstrate that this approach is practical, highly effective and efficient.     

基于耦合映射格子的混沌块密码系统

提出一个基于耦合映射格子的混沌块密码系统,设计一种明文块加密顺序的动态更新规则,每次更新的子区域顺序以及不同子区域明密文之间的复杂反馈关联均使得明密文之间的规律更加隐蔽。采用简单一维混沌映射,仿真实验表明,与类似的混沌加密算法比较,得出的各项统计数据均显示该系统具有较高的安全性及加解密效率。