基于轴向振型差变化率的空间刚架结构损伤研究

通过结构动态特性参数对损伤位置和损伤程度的敏感性分析,提出以轴向振型差变化率为标示量的空间刚架损伤识别方法。应用ANSYS建立了空间刚架结构无损伤和有损伤的有限元模型,选取轴向振型差变化率作为损伤标示量进行结构损伤识别。结果表明：一阶轴向振型差变化率不但能很好地对单一或多个损伤的损伤位置进行识别,而且可以初步识别损伤程度。将此方法应用到实验刚架模型中,实现了对刚架损伤位置的识别。轴向振型差变化率具有敏感性高、回避空间振动方向性、减少工作量等优点,是一种较理想的空间刚架损伤标示量。     

Model-based parameter identification of comprehensive friction behaviors for giant forging press

A new experimental apparatus was set up to investigate the actual fi-iction characteristics on the basis of speed control of the serve system.A modified friction model was proposed due to real time varying deformation resistance.The approach to identify the parameters of comprehensive friction behaviors based on the modified model was proposed and applied to the forging press.The impacts on parameters which the external load had were also investigated.The results show that friction force decreases with velocity in the low velocity regime whereas the friction force increases with the velocity in the high velocity regime under no external load.It is also shown that the Coulomb friction force,the maximum static friction force and the vicious friction coefficient change linearly with the external load taking the velocity at which the magnitude of the steady state friction force becomes minimum as the critical velocity.     

10-羟基-5,10-二氢苯并磷杂吖嗪-10-氧化物的合成研究

二苯胺与三氯化磷在加热条件下相互作用并用水处理后 ,不经乙醇溶出 (分离 ) ,直接用过氧乙酸在含水冰醋酸介质中氧化 ,以 42 %～ 5 0 %的产率合成 10 羟基 5 ,10 二氢苯并磷杂吖嗪 10 氧化物。该方法工艺稳定 ,省去溶剂乙醇 ,减少了反应物用量以及相应的酸碱消耗 ,使目标分子的产率由文献的 37%提高到 40 %以上 ,合成周期由文献的至少 3d缩短到 1～ 2d。对合成的目标分子进行了结构表征 ,结果正确。分析核磁共振结果 ,提出标题化合物的可能构象     

Catalyst deactivation in the gas phase destruction of nitrogen-containing organic compounds using TiO2/UV–VIS

Possible application of the TiO₂/UV–VIS photocatalytic process in the destruction of nitrogen-containing malodorous compounds was evaluated. Pyridine (C₅H₅N), propylamine (C₃H₇NH₂) and diethylamine (C₄H₁₀NH) were photodegraded in the presence and in the absence of oxygen. Degradation of nitrogen-containing organic compounds was confirmed by mass balance taking into consideration NH₄⁺ and NO₃⁻ ions trapped at the TiO₂ surface. Photocatalytic deactivation was observed in all cases. On-line mass spectrometry was used to identify byproducts in the gas phase formed during the degradation process. GC–MS analysis of the dichloromethane-extract of aqueous species leached from the surface of deactivated catalyst, as well as pre-concentration in a Tenax column were used to identify intermediates in the gas phase. These byproducts are considered to be the major ones responsible for deactivation of TiO₂.     

符号动力学信息熵在气液两相流型电导信号分析中的应用

时间序列的符号动力学信息熵H_k因其计算简单快速,对数据量要求小,而被应用于非线性时间序列的分析中。将其应用于气液两相流型电导信号的分析中,首先通过其在高斯白噪声中的应用,来分析参数的选择标准。接下来讨论不同参数选择对气液两相流型识别的影响,并将流型信号的H_k-up同3种典型仿真信号进行对比。最后采用分段计算H_k-up的方法对气液两相流型电导信号进行分析,剖析了各种流型的演化规律。分析结果表明:符号动力学信息熵是一种有效的分析气液两相流电导信号的方法,能够有效区分不同流型,并能够反映不同流型的演化规律特性。     

罗汉果内生真菌SG一69次级代谢产物的研究

罗汉果内生真菌SG-69的发酵培养液和菌体通过硅胶柱色谱、SephadexLH-20凝胶柱色谱和重结晶等方法分离,得到6个化合物,运用IR、。HNMR．13CNMR等波谱技术,结合化合物的理化性质、波谱数据与文献数据对照鉴定了其结构分别为麦角甾-5,7,22-三烯-3β一醇（1）、对羟基苯甲酸（2）、白僵菌酮（3）、苯乙酸（4）、尿囊素（5）和甘露醇（6）,其中尿囊素（5）首次从罗汉果内生真菌中发现。研究结果表明,罗汉果内生真菌的次级代谢产物与宿主罗汉果化学成分有很大差异,有待进一步研究。     

基于改进的时滞分析算法的化工过程故障定位

在现代化工过程中,故障在局部出现后往往会通过物流连接、控制系统的作用下传递到整个流程。识别故障的传播机理,诊断出故障的根本原因对于生产的经济性或安全性都具有重大的意义。时滞分析是一种基于数据的算法,具有不依赖机理模型,获得的结果易于解读等特性,被认为是一种很实用的故障识别算法。将小波降噪技术、全流程节点划分等方法与时滞分析算法相结合,可以较好地克服化工过程在线数据的强噪声特点以及模型中冗余时滞的干扰,改进的算法具有更好的鲁棒性,具有化工全流程诊断的能力。通过对TE模型的故障定位研究,结果显示该方法可对异常工况进行故障隔离,并能给出扰动传播路径,有助于故障机理的研究。     

Selection of weak VARMA models by modified Akaike's information criteria

This article considers the problem of order selection of the vector autoregressive moving‐average (VARMA) models under the assumption that the errors are uncorrelated but not necessarily independent. These models are called weak VARMA by opposition to the standard VARMA models, also called strong VARMA models, in which the error terms are supposed to be i.i.d. We relax the standard independence assumption to extend the range of application of the VARMA models, allowing us to treat linear representations of general nonlinear processes. We propose a modified version of the Akaike information criterion for identifying the orders of weak VARMA models.     

Impact of N on the atomic-scale Sb distribution in quaternary GaAsSbN-capped InAs quantum dots

The use of GaAsSbN capping layers on InAs/GaAs quantum dots (QDs) has recently been proposed for micro- and optoelectronic applications for their ability to independently tailor electron and hole confinement potentials. However, there is a lack of knowledge about the structural and compositional changes associated with the process of simultaneous Sb and N incorporation. In the present work, we have characterized using transmission electron microscopy techniques the effects of adding N in the GaAsSb/InAs/GaAs QD system. Firstly, strain maps of the regions away from the InAs QDs had revealed a huge reduction of the strain fields with the N incorporation but a higher inhomogeneity, which points to a composition modulation enhancement with the presence of Sb-rich and Sb-poor regions in the range of a few nanometers. On the other hand, the average strain in the QDs and surroundings is also similar in both cases. It could be explained by the accumulation of Sb above the QDs, compensating the tensile strain induced by the N incorporation together with an In-Ga intermixing inhibition. Indeed, compositional maps of column resolution from aberration-corrected Z-contrast images confirmed that the addition of N enhances the preferential deposition of Sb above the InAs QD, giving rise to an undulation of the growth front. As an outcome, the strong redshift in the photoluminescence spectrum of the GaAsSbN sample cannot be attributed only to the N-related reduction of the conduction band offset but also to an enhancement of the effect of Sb on the QD band structure.     

Identification of Host Cellular Protein Substrates of SARS-COV-2 Main Protease

The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of coronavirus disease-19 (COVID-19) being associated with severe pneumonia. Like with other viruses, the interaction of SARS-CoV-2 with host cell proteins is necessary for successful replication, and cleavage of cellular targets by the viral protease also may contribute to the pathogenesis, but knowledge about the human proteins that are processed by the main protease (3CLpro) of SARS-CoV-2 is still limited. We tested the prediction potentials of two different in silico methods for the identification of SARS-CoV-2 3CLpro cleavage sites in human proteins. Short stretches of homologous host-pathogen protein sequences (SSHHPS) that are present in SARS-CoV-2 polyprotein and human proteins were identified using BLAST analysis, and the NetCorona 1.0 webserver was used to successfully predict cleavage sites, although this method was primarily developed for SARS-CoV. Human C-terminal-binding protein 1 (CTBP1) was found to be cleaved in vitro by SARS-CoV-2 3CLpro, the existence of the cleavage site was proved experimentally by using a His₆-MBP-mEYFP recombinant substrate containing the predicted target sequence. Our results highlight both potentials and limitations of the tested algorithms. The identification of candidate host substrates of 3CLpro may help better develop an understanding of the molecular mechanisms behind the replication and pathogenesis of SARS-CoV-2.