低温等离子体化学毒剂洗消技术研究进展

该文主要探究低温等离子体化学毒剂洗消技术的研究进展.首先指出化学毒剂的种类、危害性以及洗消化学毒剂的必要性,并探讨传统洗消技术和催化剂洗消技术的可行性与发展状况,分析其优势和不足;其次介绍了低温等离子体技术并总结了等离子体射流、介质阻挡放电、微波等离子体等放电形式在化学毒剂洗消中的应用,归纳了等离子体洗消毒剂的反应对象...     

我国钢管混凝土拱桥应用现状与展望

以轴压比、含钢率和钢材强度为参数,进行了8根高强钢管超高强混凝土柱和1根普通强度钢管超高强混凝土对比柱的拟静力试验,分析了各参数对破坏形态、荷载-位移滞回曲线、骨架曲线和各个抗震性能指标(如延性、耗能和强度与刚度退化等)的影响程度。结果表明：压弯破坏为主要破坏模式;弹性刚度受轴压比影响不大,但受含钢率和钢材强度影响较大;极限承载力受轴压比、含钢率和钢材强度影响较大,随前者增大而降低,随后两者增大而增大;延性受轴压比、钢材强度和含钢率影响较大,随前两者增大降低,随后者增大而增大;耗能能力随轴压比增大而减弱,随含钢率和钢材强度增大而增强;刚度和强度退化程度随轴压比增大而降低,随含钢率增大而增大,且前者随钢材强度增大而增大,后者则随钢材强度增大呈减小趋势。通过对比不同规程抗弯刚度计算方法,结果表明：受材料适用范围限制,各规程不适用于该类高强材料组合构件。     

Precipitate coarsening and its effects on the hot deformation behavior of the recently developedγ’-strengthened superalloys

Recently,theγ’-strengthened superalloys are of great interests in high temperature applications due to their excellent high temperature strength which is derived from theγ’strengthening phase.For theseγ’-strengthened superalloys,the changes in morphology,size and distribution ofγ’precipitates due to coarsening during thermal exposure have a significant impact on the properties of alloys.This article briefly summarizes the recent advances on the coarsening behavior of gamma prime precipitates in the recently-developedγ’-strengthened superalloys and its effects on the hot deformation behavior of superalloys,drawing specific examples on Allvac^■718 Plus TM and Ni3 Al-based intermetallic superalloys.It is found that the particle size plays an important role in morphological evolution ofγ’precipitates.For instance,the morphology ofγ’precipitates evolves from cuboidal to strip-like or other complex structures in Ni3 Al-based intermetallic alloys,while theγ’precipitates in Allvac^■718 Plus alloy always present nearspherical morphology due to the relatively small initial particle size.The Lifshitz-Slyozof-Wagner(LSW)theory and its modifications,as well as Trans-Interface Diffusion Controlled(TIDC)theory have been applied to describing the coarsening kinetics ofγ’precipitates.Additionally,the hot deformation behavior ofγ’-strengthened superalloy is found to be greatly influenced by the coarsening ofγ’precipitates.     

Hydrogen Bond-Assisted Ultra-Stable and Fast Aqueous NH4+ Storage

Aqueous ammo-nium ion batteries are regarded as eco-friendly and sustainable energy storage systems.And appli-cable host for NH4+ in aqueous solution is always ...     

面向云网融合的数据中心能效评估方法

云网融合的加速发展,既推动着数据中心规模快速增长,也带来了巨大的能源消耗.如何制定合理的数据中心能效评估标准已成为指导数据中心能效提升亟需解决的关键问题.针对单一指标很难全面衡量数据中心的能源效率,且不同的数据中心能效指标各有侧重,甚至互相矛盾的问题,提出了将多指标进行融合来综合评估数据中心的能效,采用了主客观结合的赋权方法,为不同的能效指标设置权重,设计了基于云模型的多指标融合评估策略,得到了更加科学、全面的数据中心能效评估结果.最后,利用灰色关联法分析了评估结果与各能效指标之间的关系,分析结果对数据中心能效的提升具有重要的指导意义.     

煤的二次生烃机理探讨

文中利用一种新的气源岩定量评价方法对南华北盆地上古生界煤的二次生烃机理进行了研究。主要采用两个系列的热模拟实验,即连续生烃热模拟和分段生烃热模拟(模拟沉降—抬升—沉降过程),还探讨了煤岩二次生烃的特点。     

影响电路板线路图形精度的因素研究

随着高频高速产品的快速发展,产品从设计上对图形精度的要求越来越高,但生产良率较低,严重困扰着业界进一步的发展。文章主要从线路板线路图形制作过程中存在不同因素的影响原理出发,针对PCB线路制作的工艺流程,分析了各个流程因素对线路精度制作影响的差异性,通过对这些影响的差异值进行分析和统计,我们确定了对线路精度有要求线路的制作方法和控制要点,有效地提升了制程能力,从而为生产高精度线路图形的高频高速产品提供了生产参考和指导。     

硅钢退火炉氮气冷却的碳套辊分析

阐述了传统硅钢退火炉无冷却碳套辊的缺点,并介绍和分析了通氮气冷却碳套辊的技术特点。     

Cosine interesting pattern discovery

Recent years have witnessed an increasing interest in computing cosine similarity between high-dimensional documents, transactions, and gene sequences, etc. Most previous studies limited their scope to the pairs of items, which cannot be adapted to the multi-itemset cases. Therefore, from a frequent pattern mining perspective, there exists still a critical need for discovering interesting patterns whose cosine similarity values are above some given thresholds. However, the knottiest point of this problem is, the cosine similarity has no anti-monotone property. To meet this challenge, we propose the notions of conditional anti-monotone property and Support-Ascending Set Enumeration Tree (SA-SET). We prove that the cosine similarity has the conditional anti-monotone property and therefore can be used for the interesting pattern mining if the itemset traversal sequence is defined by the SA-SET. We also identify the anti-monotone property of an upper bound of the cosine similarity, which can be used in further pruning the candidate itemsets. An Apriori-like algorithm called CosMiner is then put forward to mine the cosine interesting patterns from large-scale multi-item databases. Experimental results show that CosMiner can efficiently identify interesting patterns using the conditional anti-monotone property of the cosine similarity and the anti-monotone property of its upper bound, even at extremely low levels of support.