Performance of Al2O3 particle reinforced glass-based seals in planar solid oxide fuel cells

Glass-based materials are usually considered as excellent seals for jointing adjacent components in planar solid oxide fuel cells, but the uncontrollable crystallization in the glass may cause delamination and micro-cracks in such seals. To solve this problem, Al2O3 ceramic particles were added to a BaO–CaO–Al2O3–B2O3–SiO2 glass system to reduce negative effects caused by crystalline phase on the gas tightness and the joint strength in the seals. At an operating temperature of 750 °C, the glass-based seals with 20 wt% Al2O3 addition (GA80) exhibited extremely low leakage rates (~0.002 sccm/cm under an input gas pressure of 13.6 kPa) and higher shear strength (3.31 MPa). The Al2O3 ceramic addition and the crystalline phase BaAl2Si2O8 reinforced the glass matrix. Further thermal cycle analyses indicated that leakage rates for the GA80 seals remained at around 0.0025 sccm/cm after 10 thermal cycles, which was consistent with minor microstructural change and good interface bonding. Single cell testing with of GA80 seals was performed and the results demonstrated stable electrochemical performance through 6 thermal cycles at an open circuit voltage of 1.16–1.18 V, as well as a power density above 546 mW/cm2 at a current density of 925 mA/cm2. These results showed the high thermal cycle stability of the glass/Al2O3 composite seals in intermediate temperature planar solid oxide fuel cells.     

南水北调中线总干渠藻类的生态调度

南水北调中线总干渠无在线调蓄水库,对藻类生态调度过程中出现的问题开展生态调度实现策略和实施方式研究。主要实现策略包括:划定自身的调蓄区,隔离生态调度对下游的影响;采用高效的渠池运行方式,减少生态调度时蓄量的反复调整;综合考虑安全、快速、平稳等需求,设定生态调度实施进程和方式。具体实施方式包括:将总干渠划分为流速调控区、调蓄区和正常运行区,分别实施等体积、控制蓄量和闸前常水位方式运行;将生态调度过程划分为充水阶段和泄水阶段,基于流速调控目标值、持续时长和水位降幅约束条件,确定各阶段时长和各分区的闸门群调控方案等。基于2018年3月输水工况,采用明渠一维非恒定流模型,仿真总干渠上游15个渠池的藻类生态调度过程。结果表明,生态调度可在3.5 d内完成,各渠池的平均流速由0.48 m/s增至0.93 m/s,持续时间超过2 h。在整个生态调度过程中,水位变化平稳,水位变幅符合安全阈值要求,下游渠道的正常运行未受生态调度明显影响。     

Steering feel improvement by mathematical modeling of the Electric Power Steering system

Currently, the Electric Power Steering (EPS) system is an essential component of the vehicle because it provides assistive steering torque to the driver. To ensure a faster steering response, the position of the EPS in some vehicles is moved closer to the tire rather than the steering wheel. The steering torque, which is provided by the EPS in the steering system, mainly affects the driver’s feel while steering. Therefore, the driver often feels uncomfortable owing to such positioning of the EPS in the steering system. In particular, the nonlinearity of the Universal Joint (UJ), which is one of parts of the steering system, can be felt at the steering wheel side.In this paper, we proposed an algorithm based on the mathematical model of the steering torque in the steering system to improve the steering feel. The mathematical model is structured using parameters that can be obtained from the information of the steering system. Moreover, the formulation of the steering torque consists of the two parts, namely the deformation part, which describes the propagation inside the steering system, and the friction part that describes the inherent friction in the UJ.Simulation and experiments were conducted to verify the proposed mathematical model with similar conditions to the real tire load during the steering motion. Furthermore, to improve the driver’s feel during steering, a torque compensation algorithm is proposed and verified through experiments.     

基于时间延迟的多类型维修与经济生产批量联合优化研究

针对目前未能较好的综合考虑多维修类型与经济生产批量联合优化的问题，首先考虑多类型维修关系，基于时间延迟理论求出故障和缺陷次数的表达式；其次，在此基础上，综合考虑生产费用和维修费用的基础上，构建了多类型维修和经济生产批量联合优化模型，以单位时间内总费用最小为优化目标，获得最优检查间隔期和经济生产批量；最后，通过算例分析验证了模型的有效性，说明了第一类缺陷检查次数的多少对费用和经济生产批量影响不大。     

中扬子地区当阳复向斜奥陶系五峰组-志留系龙马溪组页岩储层特征

以当阳复向斜内典型井钻井资料为基础，通过双束扫描电镜、矿物含量分析、有机地球化学分析和低温低压氮气吸附测定等方法，对富有机质页岩岩石学特征、有机地球化学特征、储集空间类型及特征和含气性特征等进行系统研究。研究结果表明:①五峰组-龙一₁亚段页岩储层在纵向上差异较大，优质页岩储层发育在龙一1₁小层-龙一2₁小层，其有机质丰度高（2.45%~6.98%）、有机质类型好（Ⅱ₁-Ⅱ₂型）、热演化程度较高、脆性矿物含量高（34%~85.5%）、黏土矿物含量低（9%~40.3%）、总含气量高（1.76~4.30 m3/t），有机孔非常发育；进入龙一3₁小层后，受到加里东运动构造活动加剧的影响，陆源输入量增大，储层品质开始变差。②在横向上，当阳复向斜内由东南向西北方向，五峰组-龙马溪组富有机质页岩越来越发育，储层品质越来越好。③研究区龙一1₁小层-龙一2₁小层页岩储层具有"最甜"和"最脆"的特征，但考虑到水平段钻进过程中需要对井轨迹进行实时监控与调整，应选择龙一1₁小层内GR峰的上下半幅点之间作为水平井的最佳水平箱体。      

Structural health monitoring system based on multi-agent coordination and fusion for large structure

In practical applications of structural health monitoring technology, a large number of distributed sensors are usually adopted to monitor the big dimension structures and different kinds of damage. The monitored structures are usually divided into different sub-structures and monitored by different sensor sets. Under this situation, how to manage the distributed sensor set and fuse different methods to obtain a fast and accurate evaluation result is an important problem to be addressed deeply. In the paper, a multi-agent fusion and coordination system is presented to deal with the damage identification for the strain distribution and joint failure in the large structure. Firstly, the monitoring system is adopted to distributedly monitor two kinds of damages, and it self-judges whether the static load happens in the monitored sub-region, and focuses on the static load on the sub-region boundary to obtain the sensor network information with blackboard model. Then, the improved contract net protocol is used to dynamically distribute the damage evaluation module for monitoring two kinds of damage uninterruptedly. Lastly, a reliable assessment for the whole structure is given by combing various heterogeneous classifiers strengths with voting-based fusion. The proposed multi-agent system is illustrated through a large aerospace aluminum plate structure experiment. The result shows that the method can significantly improve the monitoring performance for the large-scale structure.     

流量替代渗透率评价破碎性储层工作流体伤害程度

若地层岩石整体强度偏低,在力学环境改变后岩石易破碎成不规则破裂体,则储存油气资源的此类破碎地层被称为破碎性储层。由于破碎性储层在纵向上存在着较强的非均质性,通过测试单个柱塞岩样在工作流体伤害前后的渗透率变化难以体现工作流体对储层的整体伤害程度。为此,利用达西定律先从理论上探讨用流量替代渗透率定量表征储层伤害程度的可行性,再开展单层开采、双层及三层并采的流量测试实验,评价工作流体对单层、多层储层的整体伤害程度,并将流量损害率与渗透率损害率进行对比以求证流量替代渗透率的可行性。研究结果表明:①单层开采时,流量损害率与渗透率损害率基本一致,渗透率损害率是流量损害率的一种特殊形式;②双层及三层并采时,单层各自稳定流量损害率与渗透率损害率接近,且流量损害率可以定量表征并采储层的整体伤害程度,而渗透率损害率则无法定量表证;③稳定流量损害率较累积流量损害率更接近渗透率损害率。结论认为,测定稳定流量可以替代测定渗透率评价工作流体对破碎性储层的伤害程度,从而为优选工程技术与评价工作流体的适应性提供了方法依据。     

典型碳酸盐岩渗透力学行为特征及其对储、盖性质的判定

目前对碳酸盐岩的研究主要关注其油气的储集空间，针对含油气盆地中碳酸盐岩的勘探也主要是为了寻找优质的油气储集体。然而，随着油气勘探向深层更古老的地层拓展，有效的碳酸盐岩储—盖配置显得至关重要。勘探证实，深埋条件下碳酸盐岩有利相带仍然发育高孔渗的优质储集体，然而是否发育与之配置的碳酸盐岩盖层就成为了制约深层碳酸盐岩油气勘探的关键因素。首次系统全面地通过对典型碳酸盐岩开展不同温度条件下三轴应力加载全过程渗透力学试验，得出了碳酸盐岩在破坏变形过程中渗透率随温度、围压的演化过程。试验分析结果显示，典型白云岩和典型灰岩在深埋应力作用过程中渗透力学行为特征具有明显差异，白云岩更多地显示出储集性能的特征，表现为脆—塑转换临界围压较大，岩石更容易形成裂缝，渗透率随温度的增加而增大等；而灰岩则表现出盖层的属性，体现在脆—塑转换临界围压小于白云岩，岩石相对容易形成密闭，渗透率随温度的增大逐渐减小。综合分析认为，白云岩和灰岩的纵向叠置能够形成有效的油气藏储—盖组合。     

Clustering adaptive canonical correlations for high-dimensional multi-modal data

Multi-modal canonical correlation analysis (MCCA) is an important joint dimension reduction method and has been widely applied to clustering tasks of multi-modal data. MCCA-based clustering is usually dimension reduction of high-dimensional data followed by clustering of low-dimensional data. However, the two-stage clustering is difficult to ensure the adaptability of dimension reduction and clustering, which will affect the final clustering performance. To solve the issue, we propose a novel clustering adaptive multi-modal canonical correlations (CAMCCs) method, which constructs a unified optimization model of multi-modal correlation learning and clustering. The method not only realizes discriminant learning of correlation projection directions under unsupervised cases, but also is able to directly obtain class labels of multi-modal data. Additionally, the method also realizes out-of-sample extension in class labels. Solutions of CAMCCs are optimized by an iterative way, and we analyze its convergence. Extensive experimental results on various datasets have demonstrated the effectiveness of the method.     

Looking ahead: Joint small group detection and tracking in crowd scenes

Small group detection and tracking in crowd scenes are basis for high level crowd analysis tasks. However, it suffers from the ambiguities in generating proper groups and in handling dynamic changes of group configurations. In this paper, we propose a novel delay decision-making based method for addressing the above problems, motivated by the idea that these ambiguities can be solved using rich temporal context. Specifically, given individual detections, small group hypotheses are generated. Then candidate group hypotheses across consecutive frames and their potential associations are built in a tree. By seeking for the best non-conflicting subset from the hypothesis tree, small groups are determined and simultaneously their trajectories are got. So this framework is called joint detection and tracking. This joint framework reduces the ambiguities in small group decision and tracking by looking ahead for several frames. However, it results in the unmanageable solution space because the number of track hypotheses grows exponentially over time. To solve this problem, effective pruning strategies are developed, which can keep the solution space manageable and also improve the credibility of small groups. Experiments on public datasets demonstrate the effectiveness of our method. The method achieves the state-of-the-art performance even in noisy crowd scenes.