循环载荷作用下两类楼板抗震性能的非线性有限元分析

为比较组合楼板和普通混凝土楼板的抗震性能,采用非线性有限元分析方法研究它们在循环载荷作用下的受力行为,并由此得到两类楼板的滞回曲线、骨架曲线及应力应变分布规律．计算结果表明,采用可靠构造措施的压型钢板与混凝土组合作用明显,在不失较高承载力的同时,组合楼板仍具有良好的抗震性能．将计算结果与试验数据相比较,验证该数值分析方法的有效性。     

集群环境中微服务容器资源特征分析及优化

在集群环境中部署微服务已经成为微服务部署的重要方式.由于不同种类服务对于CPU、内存、磁盘等资源的需求不同,导致集群中的节点产生资源碎片、出现资源消耗倾斜.如何提高集群资源利用率、降低集群能耗,成为继保障服务级别协议(service level agreement, SLA)之后的重大挑战.本文以阿里巴巴集团2021年发布的近两万个微服务的详细跟踪为数据样本,从容器资源使用情况、节点部署特征和资源消耗偏好等多个维度出发,分析其集群资源消耗特征,发现集群中出现了资源消耗倾斜的情况.通过进一步分析节点中容器部署情况发现容器资源分配不合理加剧了这一现象.基于此我们提出了一种使用深度双Q网络的模型,依据上游服务资源需求的实时变化,对容器资源分配进行优化.对比实验结果表明该方法可以在保证服务SLA的情况下有效提高容器资源利用率,改善节点资源消耗倾斜的情况.     

Energy and load balancing routing protocol for IoT

Due to the limitation of node energy resources, the management of energy consumption is one of the most important problems of the internet of things (IoT). Therefore, many studies have tried to optimize and manage energy consumption by focusing on different techniques. Although each of these studies has improved and optimized energy consumption, there are many important problems, including maintaining traffic balance and energy consumption of network nodes. Therefore, a new method is necessary to maintain the load and energy balancing of network nodes. Therefore, this paper introduces energy and load balancing routing protocol for IoT (ELBRP) based on the development of the RPL routing protocol and the efficiency of data distribution technique. The ELBRP performance has three steps. In the first step, along with the process of sending DODAG information object (DIO) messages, the status of network nodes is evaluated. In the second step, the DODAG communication graph is formed according to the ELBRP. In the third step, data transmission is done according to the distribution technique with the goal of balancing traffic and energy. The simulation results using cooja simulator showed the superiority of ELBRP in improving energy consumption and successful delivery ratio, reducing delay and increasing the network lifetime compared to the similar methods.     

Hierarchical and Hybrid Cell Load Balancing in 5G Heterogeneous Mobile Networks

In Fifth Generation (5G) Heterogeneous Mobile Networks (HetNets), deploying dense small cell networks makes user association more challenging. The process of collecting cell load information from the User Equipments (UEs) and broadcasting the feedback message involves significant overhead and time complexity. Moreover, the UEs may not know the optimum cell to reselect, satisfying its data rate requirements. In order to overcome these drawbacks, in this paper, we propose to design an Hierarchical and Hybrid Cell Load Balancing (HHCLB) technique using Selective Handoff. In this technique, the UEs of each cell are grouped into clusters depending on their proximity distance. Each cluster contains a cluster controller (CC) which is in charge of determining the intra-cell load and redirecting the cell-reselection request of a UE. If the data rate of any UE in a cluster becomes less than its required rate, then the cell reselection process is performed. By simulation results, it is shown that load balancing can be done proactively (implicitly) by the CCs when the load is unbalanced or can be done on demand (explicitly) when a UE send a request for cell reselection. In the case of Macro cells, HHCLB attains 71% higher throughput for low load scenario and 59% higher throughput for high load scenario. Similarly, in the case of Femto cells, HHCLB attains 19% higher throughput for low load scenario and 27% higher throughput for high load scenario.     

The Double Edge Sword Based Distributed Executor Service

Scalability is one of the most important quality attribute of software-intensive systems, because it maintains an effective performance parallel to the large fluctuating and sometimes unpredictable workload. In order to achieve scalability, thread pool system (TPS) (which is also known as executor service) has been used extensively as a middleware service in software-intensive systems. TPS optimization is a challenging problem that determines the optimal size of thread pool dynamically on runtime. In case of distributed-TPS (DTPS), another issue is the load balancing b/w available set of TPSs running at backend servers. Existing DTPSs are overloaded either due to an inappropriate TPS optimization strategy at backend servers or improper load balancing scheme that cannot quickly recover an overload. Consequently, the performance of software-intensive system is suffered. Thus, in this paper, we propose a new DTPS that follows the collaborative round robin load balancing that has the effect of a double-edge sword. On the one hand, it effectively performs the load balancing (in case of overload situation) among available TPSs by a fast overload recovery procedure that decelerates the load on the overloaded TPSs up to their capacities and shifts the remaining load towards other gracefully running TPSs. And on the other hand, its robust load deceleration technique which is applied to an overloaded TPS sets an appropriate upper bound of thread pool size, because the pool size in each TPS is kept equal to the request rate on it, hence dynamically optimizes TPS. We evaluated the results of the proposed system against state of the art DTPSs by a client-server based simulator and found that our system outperformed by sustaining smaller response times.     

基于双重注意力机制和GRU网络的短期负荷预测模型

电力负荷预测对电力系统的部署、规划和运行影响重大,但目前各输入特征对电网负荷情况影响的程度不稳定,且递归神经网络捕获负荷数据的长期记忆能力差,导致预测精度下降。提出一种基于双重注意力机制和GRU网络的预测新模型,利用特征注意力机制自主分析历史信息与输入特征间的关联关系,提取重要特征,并通过时序注意力机制自主选取GRU网络中关键时间点的历史信息,提升较长时间段预测效果的稳定性。在3个公开数据集上的实验结果表明,该模型在预测精度指标上表现良好,对比SVR、KPCA-ELM、DBN、GRU、Attention-GRU、CNN-LSTM、Attention-CNN-GRU模型预测精度分别提高了2.47、1.14、1.93、1.37、1.04、0.74、0.41个百分点。     

Deformation due to expanding ring load in modified couple stress thermoelastic diffusion in time and frequency domain

The two-dimensional problem of expanding ring load in a modified couple stress theory of thermoelastic diffusion with heat sources in time and frequency domains is investigated. The mathematical formulation prepared for thermoelastic diffusion solids with one and two relaxation times using Laplace and Hankel transforms. The displacements, stress components, temperature change, and chemical potential are obtained in a transformed domain. Numerical computation is performed for these quantities and the resulting quantities are shown graphically for the time and frequency domains. Comparisons are made with the results predicted by the two theories and different values of time and frequency. Particular cases of interest are also deduced.     

不同接触尺度下PVA/HA复合水凝胶的滑动摩擦行为

采用UMT-II型多功能摩擦磨损试验机研究了不同接触尺度下PVA/HA复合水凝胶的滑动摩擦行为,并利用有限元模拟方法对PVA/HA复合水凝胶的滑动摩擦机理进行了探讨。结果表明:滑动过程中PVA/HA复合水凝胶的平均摩擦力、平均摩擦因数及变形深度随接触压头直径的增加逐渐减小,而随着接触载荷呈逐渐增加的趋势;随着接触压头直径的增加,液相的承载能力增大,从而平均摩擦力、变形深度减小;随着接触载荷的增加,液相流失增加,液相的承载力降低,从而平均摩擦力、变形深度增大。     

短切碳纤维增强碳化硅陶瓷基复合材料的高温冲击压缩力学性能

采用先驱体浸渍裂解法(即PIP法)制备出3种不同短切碳纤维(C_(sf))体积分数的圆柱形短切碳纤维增强陶瓷基复合材料(C_(sf)/SiC复合材料)试件,通过高温加热装置和自组装功能的霍普金森压杆装置对试件进行高温和动态荷载耦合作用下的冲击压缩试验,并通过扫描电子显微镜(SEM)观察C_(sf)/SiC复合材料断口形貌,对试件的破坏形态进行分析。试验结果表明,采用PIP法制备的C_(sf)/SiC复合材料试件中C_(sf)分布均匀,在外应力作用下C_(sf)/SiC复合材料试件发生破坏,碳纤维和碳纤维束与SiC基体脱粘被不断拔出。试件的抗压强度随C_(sf)体积含量的增加而呈现先增加后减小的变化趋势,C_(sf)体积含量为21%的试件抗压强度最高,为96.55 MPa。与常温相比,在高温压缩试验中随着复合材料试件平均温度的升高,C_(sf)/SiC复合材料试件破碎后的块度越来越大,整体性越来越好,当温度达到300℃时,C_(sf)体积含量对C_(sf)/SiC复合材料试件抗压强度的影响较小。     

封闭空间爆炸载荷特性研究

封闭空间爆炸载荷主要包含瞬态冲击波和持续时间较长的准静态超压。为了研究封闭空间爆炸载荷特性,基于FORTRAN平台,采用三阶WENO有限差分格式编写了爆炸波高精度三维数值计算程序。应用Sod激波管、双爆轰波碰撞等经典算例验证了所开发数值程序的可靠性。在封闭空间内炸药爆炸波数值计算的基础上,基于冲量等效原则提出封闭空间内爆炸载荷简化模型,理论推导给出准静态超压峰值计算公式并通过数值计算结果验证了该公式的可靠性。开发的高精度爆炸波三维数值计算程序及提出的简化载荷模型可用于封闭空间内爆炸载荷的快速计算,为工程抗爆结构设计提供载荷输入。