Axial offset control of PWR nuclear reactor core using intelligent techniques

Improved load following capability is one of the main technical performances of advanced PWR (APWR). Controlling the nuclear reactor core during load following operation encounters some difficulties. These difficulties mainly arise from nuclear reactor core limitations in local power peaking, while the core is subject to large and sharp variation of local power density during transients. Axial offset (AO) is the parameter usually used to represent of core power peaking, in form of a practical parameter. This paper, proposes a new intelligent approach to AO control of PWR nuclear reactors core during load following operation. This method uses a neural network model of the core to predict the dynamic behavior of the core and a fuzzy critic based on the operator knowledge and experience for the purpose of decision-making during load following operations. Simulation results show that this method can use optimum control rod groups maneuver with variable overlapping and may improve the reactor load following capability.     

某星载大口径天线子系统的力学仿真分析

星载天线在发射及在轨阶段将面临严酷的力学环境,要求具有极高的可靠性。为了验证其刚度和强度,缩短研发周期,文中采用NX Nastran软件建立了某星载大口径天线子系统的力学仿真模型;为了验证仿真的有效性,进行了该天线子系统的模态测试,经对比发现两者数据一致性较好;基于建立的有限元模型,分析了该天线子系统在正弦振动和热循环环境工况下的结构响应和受力情况,得到了相应的加速度、位移和应力云图。结果表明,该天线子系统的结构刚强度均满足星载环境要求。该仿真分析对星载天线子系统的结构设计具有重要的指导意义。     

A distributed deadlock detection algorithm for mobile computing system

The mode of mobile computing originated from distributed computing and it has the un-idempotent operation property, therefore the deadlock detection algorithm designed for mobile computing systems will face challenges with regard to correctness and high efficiency. This paper attempts a fundamental study of deadlock detection for the AND model of mobile computing systems. First, the existing deadlock detection algorithms for distributed systems are classified into the resource node dependent （ RD ） and the resource node independent （RI） categories, and their corresponding weaknesses are discussed. Afterwards a new RI algorithm based on the AND model of mobile computing system is presented. The novelties of our algorithm are that： 1 ） the blocked nodes inform their predecessors and successors simultaneously; 2） the detection messages （agents） hold the predecessors information of their originator; 3 ） no agent is stored midway. Additionally, the quit-inform scheme is introduced to treat the excessive victim quitting problem raised by the overlapped cycles. By these methods the proposed algorithm can detect a cycle of size n within n - 2 steps and with （ n^2- n - 2 ）/2 agents. The performance of our algorithm is compared with the most competitive RD and RI algorithms for distributed systems on a mobile agent simulation platform. Experiment results point out that our algorithm outperforms the two algorithms under the vast majority of resource configurations and concurrent workloads. The correctness of the proposed algorithm is formally proven by the invariant verification technique.     

证明推广的卡诺定理的另一种方法

本文提出了对于推广的卡诺定理的另一种较严密的证明方法,此种证明方法更易于为学生接受,其物理含义更为明确。     

绿色校园建设的思考与实践——以常州工学院新校区绿建设计为例

文章简要介绍了常州工学院新校区建设的基本情况,并根据该校绿色校园的建设目标,从绿色建筑评价标准和设计流程的角度分析了程序式绿色校园设计的优点、缺点和解决方法,最后指出绿色校园设计是满足学校和设计方可持续发展目标的共同需要。     

国际核电发展动态及我国核电发展的思考

随着世界性金融危机引发的全球经济衰退,使人们更加坚信核能发电在保障能源供应和平抑能源市场价格波动方面的重要作用,核电建设必将进入迅速发展阶段.中国作为资源耗量多的国家,一定会及时跟进,加快核电建设,这样一来,将为国家带来丰厚的经济利益,同时也将有效解决资源过分利用和环境保护的问题,产生良好的社会效益.     

基于PRONY模型的谐波检测

信号的去噪问题一直是信号检测的一大难题,而要检测的信号往往却存在不同的随机噪声。在分析周期信号的基础上,提出了一种基于PRONY模型的周期信号分析法。经过对周期短(窄)脉冲信号的实验,这种直接构造的PRONY算法在周期信号中能达到有效、准确的分析结果。     

发展无严重事故风险核电站的曙光具有完全非能动安全冷却系统的压水堆核电站

本文提出了用自然力直接触发启动压水堆核电站一整套完全非能动的停堆安全冷却系统.这里的自然力主要是指一回路运行工况转换时由于其压力分布变化所形成的压差力.在这一系统中,当进行停堆或发生某种一回路事故工况时,相应的安全冷却系统便自然地投入运行,立即缓解事故后果,将事故时一回路释放的能量及堆芯余热非能动地排入最终热阱.在全过程中不依靠自动控制系统、能动设备及任何人为因素的介入,即可确保对堆芯余热无限期的安全冷却能力,完全避免压水堆核电站发生向环境泄漏放射性物质的严重事故,排除对核电站周围居民进行事故疏散的必要性,彻底解除公众对核电安全的疑虑.实施本文中提出的压水堆核站完全非能动停堆安全冷却系统,完全立足于采用现有成熟技术,因而在近期内即可应用于无严重事故风险新型第三代压水堆核电站的设计与对现有第二代压水堆核电站的技术改造项目.立足于现有压水堆核电站的运行经验,只要进一步采用完全非能动原则,实现固有安全,排除严重事故风险,那么压水堆核电站在近期内即能够成为电网的主要支柱,为破解全人类所面临的严酷环境问题做出重大贡献.     

核动力蒸汽装置热力循环的有限时间热力学分析

针对二回路蒸汽动力装置的实际过程 ,提出了一个最简单的热力学、动力学模型 ,利用有限时间热力学分析方法和相关理论 ,以装置比功率为目标 ,用数值计算方法对其热工参数进行评估和选择 ,最后给出一些有益的结论。     

BP神经网络在AP1000核电站事故诊断应用中的初步研究

核电站发生事故时,快速准确诊断出事故类型对于应急中采取相应的安全防护措施至关重要。本文采用BP神经网络对AP1000核电站的部分事故进行事故诊断,以部分事故分析结果为训练数据训练网络,以其他分析结果为测试数据,验证网络诊断事故类型时的准确性。结果表明,BP神经网络能正确诊断所分析的事故序列。