广清高速改扩建工程桩基溶洞顶板稳定性研究

针对广清高速公路改扩建工程,选取两个典型桥梁桩基存在下伏溶洞工点,构建溶洞地质概化模型。采用理论分析和数值模拟方法研究桩基溶洞顶板的稳定性,以便为岩溶区桩基设计、施工提供依据。通过规范方法确定桩底作用在溶洞顶板上的荷载,通过成层地基和地应力计算方法计算上覆岩土层作用在顶板上的自重应力。对溶洞顶板分别进行抗冲切、抗剪切、抗弯验算,分别求出稳定系数和桩底竖向极限荷载。运用ANSYS数值模拟方法,对顶板位移、第一主应力和塑性应变进行分析,计算得出桩底竖向极限荷载。理论分析与数值模拟结果对比表明桩基溶洞顶板处于稳定状态,抗剪切、抗弯验算是桩基下溶洞顶板稳定性分析的主要验算指标。     

Radiation hardness characterization of low gain avalanche detector prototypes for the high granularity timing detector

The high granularity timing detector (HGTD) is a crucial component of the ATLAS phase II upgrade to cope with the extremely high pile-up (the average number of interactions per bunch crossing can be as high as 200). With the precise timing information (σ_t～30 ps) of the tracks, the track-to-vertex association can be performed in the “4-D” space. The Low Gain Avalanche Detector (LGAD) technology is chosen for the sensors, which can provide the required timing resolution and good signal-to-noise ratio. Hamamatsu Photonics K.K. (HPK) has produced the LGAD with thicknesses of 35 μm and 50 μm. The University of Science and Technology of China(USTC) has also developed and produced 50 μm LGADs prototypes with the Institute of Microelectronics (IME) of Chinese Academy of Sciences. To evaluate the irradiation hardness, the sensors are irradiated with the neutron at the JSI reactor facility and tested at USTC. The irradiation effects on both the gain layer and the bulk are characterized by I-V and C-V measurements at room temperature (20 ℃) or ?30 ℃. The breakdown voltages and depletion voltages are extracted and presented as a function of the fluences. The final fitting of the acceptor removal model yielded the c-factor of 3.06×10?16 cm?2, 3.89×10?16 cm?2 and 4.12×10?16 cm?2 for the HPK-1.2, HPK-3.2 and USTC-1.1-W8, respectively, showing that the HPK-1.2 sensors have the most irradiation resistant gain layer. A novel analysis method is used to further exploit the data to get the relationship between the c-factor and initial doping density.     

酶促制备丝裂霉素类似物反应动力学模型研究

基于固定化T. laibacchii脂肪酶催化2-甲基-1,4-苯醌与正丁胺的Michael加成反应建立了酶促制备丝裂霉素类似物2-甲基-3-正丁胺酰-1-氢-4-醌的反应动力学模型.该反应在柠檬酸缓冲溶液(pH值为7.0)中进行,最终产率可达98%.该文提出了修正的有序双双和随机双双机理,采用King-Altman方法得到相关微分方程组以表示即时反应速率.通过联合解微分方程和最优化方法确定动力学模型参数,使用ode45程序解微分方程组,并运用Fmincon软件计算动力学常数.研究结果表明:模型拟合值与实验值的平均相对偏差为11.25%,且偏差服从关于y=0的轴对称分布.当固定化酶粒径为0.5 mm、搅拌转速为200 rpm时可以忽略内外扩散限制.该文建立的动力学模型为固定化酶固有动力学模型.     

信息物理融合系统可信软件形式化建模与分析

从多Agent系统的角度,以Petri网和π演算为语义基础,建立了一种信息物理融合系统（cyber-physical systems,CPS）可信软件形式化模型（high-confidence software formal model,HCSFM）. HCSFM以Petri网形象地描述CPS可信软件静态结构模型及动态行为,用Petri网分析方法和支持工具对模型进行分析和验证; 利用π演算刻画CPS可信软件中Agent的加入、退出、更新和体系结构重配置等动态演化机制,并研究Agent的演化策略及演化后CPS的一致性,确保动态演化后CPS软件能正常交互,从而为CPS软件设计提供可信保障. 通过HCSFM在无人驾驶车辆编队CPS中的应用,表明HCSFM可以有效地对CPS可信软件进行建模和分析.     

Multi-label dimensionality reduction and classification with extreme learning machines

In the need of some real applications, such as text categorization and image classification, the multi-label learning gradually becomes a hot research point in recent years. Much attention has been paid to the research of multi-label classification algorithms. Considering the fact that the high dimensionality of the multi-label datasets may cause the curse of dimensionality and wil hamper the classification process, a dimensionality reduction algorithm, named multi-label kernel discriminant analysis （MLKDA）, is proposed to reduce the dimensionality of multi-label datasets. MLKDA, with the kernel trick, processes the multi-label integrally and realizes the nonlinear dimensionality reduction with the idea similar with linear discriminant analysis （LDA）. In the classification process of multi-label data, the extreme learning machine （ELM） is an efficient algorithm in the premise of good accuracy. MLKDA, combined with ELM, shows a good performance in multi-label learning experiments with several datasets. The experiments on both static data and data stream show that MLKDA outperforms multi-label dimensionality reduction via dependence maximization （MDDM） and multi-label linear discriminant analysis （MLDA） in cases of balanced datasets and stronger correlation between tags, and ELM is also a good choice for multi-label classification.     

Optimized LDPC differential-encoded 16QAM scheme for high-speed transmission systems

The 16-ary quadrature amplitude modulation （16QAM） is a high spectral efficient scheme for high-speed transmission systems. To remove the phase ambiguity in the coherent detection system, differential-encoded 16QAM （DE-16QAM） is usually used, however, it will cause performance degradation about 3 dB as compared to the conventional 16QAM. To overcome the performance loss, a serial concatenated system with outer low density parity check （LDPC） codes and inner DE-16QAM is proposed. At the receiver, joint iterative differential demodulation and decoding （ID） is carried out to approach the maximum likelihood performance. Moreover, a genetic evolution algorithm based on the extrinsic information transfer chart is proposed to optimize the degree distribution of the outer LDPC codes. Both theoretical analyses and simulation results indicate that this algorithm not only compensates the performance loss, but also obtains a significant performance gain, which is up to 1 dB as compared to the conventional non-DE-16QAM.     

Attitude Control of Spherical Liquid-Filled Spacecraft Based on High-Order Fully Actuated System Approaches

Journal of Systems Science and Complexity - The attitude of spherical liquid-filled spacecraft is controlled based on the high-order fully actuated system approaches. The rigid-fluid coupling...     

上海世博会旅游服务影响力数学模型研究

用本底趋势线法研究了旅游拉动效应中五项基本因素与上海世博会影响力的关系,以排队时间为变量,建立顾客入园参观时的满意度表达式,对其进行分析求解。综合分析了上海世博会旅游服务影响力。     

单模光纤中高阶非线性极化率的计算

从非简谐振子模型出发，通过求解迭代方程，计算出三阶非线性极化率及四阶非线性极化率，并给出了高阶非线性极化率的普适公式     

喹啉端基硫醚化合物的合成及其与Cu(Ⅱ)的作用

在润滑油的多效添加剂系列中，有机含硫化合物以其特有的性能得到广泛应用［１］．随着对此类添加剂研究的进一步开发，对含Ｎ杂环的苯酚硫醚化合物发生兴趣［２］，以期改善添加剂的抗氧化和抗腐蚀等性能．本文合成了４个带喹啉配位端基的硫醚化合物（Ｌ１，Ｌ２，Ｌ３，...