Optimizing crashworthiness design of square honeycomb structure简

To provide theoretical basis for square honeycombs used as crashworthy structures, energy-absorption properties of metal square honeycombs and the size optimization were performed. Specific energy absorption （SEA） was defined as the energy absorbed by the honeycomb structure per unit volume. This parameter was often used for determining the crashworthiness of thin-walled structures. In order to find the most optimized metal square honeycomb structure with the maximum SEA and the lowest peak stress, the cell length and the foil thickness of the metal honeycombs were optimized, with a low peak stress and a high SEA set as the two primary objectives. The pre-processing software Patran was used to build FE models, and the explicit solver LS-DYNA was employed to perform the crashworthiness analyses. The results show that the square honeycomb exhibits good energy absorption performance in some cases. The geometry is effective using 16.8% less buffer structure volume than the hexagonal honeycombs with a peak stress limitation of 1.21 MPa.     

Algorithm design and application of novel GM-AGC based on mill stretch characteristic curve简

As the spring equation is limited to the accuracy of mill stiffness and the linearity of the mill spring curve, the traditional gaugemeter automatic gauge control （GM-AGC） system based on spring equation cannot meet the requirements of practical production. In allusion to this problem, a kind of novel GM-AGC system based on mill stretch characteristic curve was proposed. The error existing in calculating strip thickness by spring equation were analyzed first. And then the mill stretch characteristic curve which could effectively eliminate the influence of mill stiffness was described. The novel GM-AGC system has been applied successfully in a hot strip mill, the application results show that the thickness control precision is improved significantly, with the novel GM-AGC system, over 98.6% of the strip thickness deviation of 3.0 mm class can be controlled within the target tolerances of ±20 μm.     

Connecting parameters optimization on unsymmetrical twin-tower structure linked by sky-bridge

Based on a simplified 3-DOF model of twin-tower structure linked by a sky-bridge, the frequency response functions, the displacement power spectral density （PSD） functions, and the time-averaged total vibration energy were derived, by assuming the white noise as the earthquake excitation. The effects of connecting parameters, such as linking stiffness ratio and linking damping ratio, on the structural vibration responses were then studied, and the optimal connecting parameters were obtained to minimize the vibration energy of either the independent monomer tower or the integral structure. The influences of sky-bridge elevation position on the optimal connecting parameters were also discussed. Finally, the distribution characteristics of the top displacement PSD and the structural responses, excited by El Centro, Taft and artificial waves, were compared in both frequency and time domain. It is found that the connecting parameters at either end of connection interactively affect the responses of the towers. The optimal connecting parameters can greatly improve the damping connections on their seismic reduction effectiveness, but are unable to reduce the seismic responses of the towers to the best extent simultaneously. It is also indicated that the optimal connecting parameters derived from the simplified 3-DOF model are applicable for two multi-story structures linked by a sky-bridge with dampers. The seismic reduction effectiveness obtained varies from 0.3 to 1.0 with different sky-bridge mass ratio. The displacement responses of the example structures are reduced by approximately 22% with sky-bridge connections.     

Effective model based fault detection scheme for rudder servo system

The inherent nonlinearities of the rudder servo system（RSS） and the unknown external disturbances bring great challenges to the practical application of fault detection technology. Modeling of whole rudder system is a challenging and difficult task. Quite often, models are too inaccurate, especially in transient stages. In model based fault detection, these inaccuracies might cause wrong actions. An effective approach, which combines nonlinear unknown input observer（NUIO） with an adaptive threshold, is proposed. NUIO can estimate the states of RSS asymptotically without any knowledge of external disturbance. An adaptive threshold is used for decision making which helps to reduce the influence of model uncertainty. Actuator and sensor faults that occur in RSS are considered both by simulation and experimental tests. The observer performance, robustness and fault detection capability are verified. Simulation and experimental results show that the proposed fault detection scheme is efficient and can be used for on-line fault detection.     

基于行波法的10kV电缆单环网在线故障定位系统

针对电缆单环网故障定位问题,本文以行波理论为基础,对10kV电缆单环网在线故障定位系统进行研究。通过对电缆单环网结构进行分析,将单环网分为不同级别的T型组合单元,对每个T型电缆单元提出具体测距原理及算法,同时对所有的T型单元依次进行测距并统计分析测距结果,汇总后得到单环网的测距结果,并利用电力系统仿真软件(power system computer aided design,PSCAD)对T型单元故障进行仿真,仿真结果验证了算法和判据的可行性与正确性;最后对电缆单环网在线故障定位系统的硬件和软件进行设计。该系统可以实现对10kV电缆单环网故障的在线监测和定位,与其他测距装置相比,可以快速准确地找到故障点,从而减少停电检修时间,确保供电可靠性,有利于提高经济效益。     

青岛海湾大桥地震作用下的车桥动力响应研究

针对桥梁因车辆振动引起的疲劳开裂导致刚度下降而下挠增加等问题,本文以青岛海湾大桥大沽河桥段为例,运用振型叠加法对桥梁有限元模型进行时程分析,计算在地震作用下车桥系统的动力响应。结果表明,考虑地震作用时,位移时程曲线波动性较明显,且位移相对较大。考虑地震波后的加速度时程曲线比未考虑地震波时的波动性大,且加速度明显增加,可见地震波对车桥系统的动力响应影响很大,考虑地震波时的时程曲线波动性较不考虑地震波时明显;考虑地震波的作用后,随着速度的增加,桥梁的动挠度明显减小,这是因为车辆速度较小时,车辆在桥梁上的作用时间变长,同时车辆与地震共同作用的时间变长,在地震波的持续影响下,桥梁的动挠度增加;随着车辆数目的增加,桥梁的动力响应随之增大。该研究对青岛海湾大桥的抗震设计有重要的理论意义。     

基于 ODX 标准的汽车诊断系统一体化平台研发

为改善传统汽车故障诊断数据的可重用性,基于车载故障诊断技术（ OBD）的发展,探讨了汽车诊断系统一体化平台的设计,描述了开放式诊断数据交互模型,针对某公司全平台车型建立标准统一诊断数据库,采用架构层次化、功能模块化的思路,开发了包括下线车辆综合性能自动检测系统、售后车辆故障诊断刷新系统和诊断管理系统在内的诊断一体化平台。经实车测试及分析,该平台可实现诊断数据库在公司多部门及供应商之间的共享,缩短了整车的研发周期,对汽车诊断工具链的开发具有借鉴意义。     

响应面法优化灯心草多糖的超声提取工艺

以灯心草为研究对象,用多糖提取率作为衡量提取工艺的指标,在单因素实验基础上,根据星点设计原理,选取超声时间、浸提温度、浸提时间、料液比四因素五水平进行响应面分析,建立灯心草多糖提取率的二次回归方程,得到最佳提取工艺.结果表明浸提时间对灯芯草多糖的提取率影响最为显著.当工艺条件为超声时间25.9 min、浸提温度78.1℃、浸提时间2.05 h、液料比86.6 1 mL/g时,灯心草多糖理论提取率为0.607 4%,验证值为0.613 2%.     

CNC车床加工表面粗糙度故障树分析方法研究

对CNC车床加工表面粗糙度故障原因进行分析,建立了由10种故障现象及33个故障底事件组成的故障树.运用布尔函数求出故障树的最小径集或最小割集,找到了影响CNC车床加工表面粗糙度的故障发生规律及相互之间关系.该分析为机床的预防维修和故障控制提供了一种简便、直观的方法,为进一步进行其系统可靠性定量分析提供了数学模型,对解决类似数控车床加工质量问题及可靠性设计具有重要意义.     

基于改进粗糙集理论与概率神经网络的变压器故障诊断研究

提出了一种基于改进粗糙集理论与概率神经网络的变压器故障综合诊断方法.利用了粗糙集理论的决策表约简技术,去除冗余信息,并引入可辨识矩阵,更加快速地去除故障冗余属性,减小了约简过程的复杂度.将得到的最小决策表作为改进的概率神经网络的训练样本,提高了PNN的训练速度和诊断的准确率.实例证明,该模型不仅能在信息不完备的情况下进行有效诊断,而且可以提高诊断速率及正判率.