宽频天线罩结构设计及制备工艺进展

天线罩是保护罩内各种仪器在恶劣环境条件下能够正常工作的一种设施,现代战争对天线罩的宽频化提出了越来越高的要求.在简述宽频天线罩设计原理和方法的基础之上,着重对国内外宽频天线罩的结构设计及工艺实现研究现状进行了综述,指出了我国与国外的差距及宽频天线罩的发展方向.     

Characterization of residual stresses from cold expansion using spatial statistics

Residual stress fields from cold expansion have been widely used to extend the fatigue life of aircraft structures. However, the spatial statistical character of these residual stress fields has not been established and has not been incorporated in current analysis methods. The objective of this study was to establish a spatial statistical method to quantify the residual stress field around a cold expanded hole. A framework called the Spatial Analysis of Residual Stress (SpARS) was developed utilizing spatial correlation, response surface modelling techniques and statistical resampling methods to characterize the residual stress field. Our results showed that tolerance bounds on residual stress can be quantified using this method. We also demonstrated the SpARS method using recently published round robin case studies. The newly developed model will be useful for aircraft structural fatigue crack growth analyses to incorporate residual stress fields for extending inspection intervals for fatigue and fracture critical structures.     

Biomimetic Robust Starch Composite Films with Super-Hydrophobicity and Vivid Structural Colors

The starch composite films (SCFs) will be one of the best alternative packaging materials to petroleum based plastic films, which mitigates white pollution and energy consumption. However, weak mechanical stability, water resistance, and dyeability has hindered the application of SCFs. Herein, a bioinspired robust SCFs with super-hydrophobicity and excellent structural colors were prepared by fiber-reinforcement and assembling SiO₂/Polydimethylsiloxane (PDMS) amorphous arrays on the surface of SCFs. The properties of the designed SCFs were investigated by various methods including scanning electron microscope (SEM), Fourier transform infrared spectroscopy (FT-IR), X-ray diffraction (XRD), thermo-gravimetric analysis (TGA), a tensile test, contact angle (CA) test, and an optical test. The results showed that the obtained SCFs possessed a higher tensile strength (55.17 MPa) attributed to the formed abundant hydrogen bonds between the molecular chains of the starch, cellulose fiber, and polyvinyl alcohol. Benefiting from the nanostructure with rough surface which were modified by materials with low surface free energy, the contact angle and sliding angle of the film reached up to 154° and 2°, respectively. The colors which were produced by the constructive interference of the coherent scattered light could cover all of the visible regions by tuning the diameters of the SiO₂ nanoparticles. The strategy in the present study not only reinforces the mechanical strength and water resistance of SCFs but also provides an environmentally friendly way to color the them, which shows unprecedented application potential in packaging materials of the starch composite films.     

基于流-热-固单向耦合计算的LNG船用蝶阀流动及结构改进设计

以超低温蝶阀为研究对象、LNG液化天然气（Liquefied Natural Gas,LNG）为流体工质,利用Solidworks软件对蝶板的结构尺寸进行参数化处理。基于计算流体力学数值模拟技术,利用Ansys软件对蝶阀开展流-热-固单向耦合计算分析,计算90°~10°不同蝶阀开度下蝶板的流量系数,及蝶阀开度10°下不同蝶板结构参数对蝶阀流通性能、蝶板位移及应力行为的影响。计算结果表明：减小蝶板厚度可以显著增强蝶阀的流通性能,降低蝶板所受最大应力;降低轴颈厚度对蝶阀流通性能提升效果较弱,但可以有效降低蝶板所受最大应力。     

正切型弹性体材料的缓冲包装设计

提出一种利用正切型弹性体材料的力学数据进行缓冲包装结构设计的方法,对这种方法的原理进行详细的理论推导,得出计算缓冲垫结构尺寸的关系式。该关系式简单实用,设计出的缓冲衬垫具有最佳的理论缓冲效率。     

Stress intensity factor computation using the method of fundamental solutions: mixed‐mode problems

The method of fundamental solutions is applied to the computation of stress intensity factors in linear elastic fracture mechanics. The displacements are approximated by linear combinations of the fundamental solutions of the Cauchy–Navier equations of elasticity and the leading terms for the displacement near the crack tip. Two algorithms are developed, one using a single domain and one using domain decomposition. Numerical results are given. Copyright © 2006 John Wiley & Sons, Ltd.     

Analysis of non-loading carrying fillet welds joint using SGBEM

Fatigue failure is probably the most common type of failure in welded construction. It is usually initiates at a stress concentration area within the structure. The fatigue behavior of non-load carrying cruciform fillet welded joint has been studied extensively using boundary element method. The symmetric boundary element method for multiple cracks problem is derived using Betti's reciprocal theorem in auxiliary fictitious state. High order element is proposed to solve the double integrals. The analysis demonstrates that symmetrical Galerkin boundary element method (SGBEM) can be used effectively for analyzing non-load carrying fillet welded cruciform joints containing any number of surface and embedded cracks. The stress intensity factor and the magnification factors M _k are analyzed. General formulation for this kind of fatigue life estimation is derived for engineering design purpose. The fatigue life estimate results are consistent with the code of practice and those of other researchers. This can provide a good method for engineering design under fatigue loading conditions.     

矿山工业用转轮式除湿机的设计

以某型适合矿山地面生产部门用的工业转轮式除湿机为研究对象,讨论了除湿机的基本工作原理并进行理论分析计算。在结构设计时,充分考虑到除湿机的工作环境特点,对其结构进行了优化设计。通过实际测试,结果表明与设计计算值基本吻合。     

A Multistage In Silico Study of Natural Potential Inhibitors Targeting SARS-CoV-2 Main Protease

Among a group of 310 natural antiviral natural metabolites, our team identified three compounds as the most potent natural inhibitors against the SARS-CoV-2 main protease (PDB ID: 5R84), M^pro. The identified compounds are sattazolin and caprolactin A and B. A validated multistage in silico study was conducted using several techniques. First, the molecular structures of the selected metabolites were compared with that of GWS, the co-crystallized ligand of M^pro, in a structural similarity study. The aim of this study was to determine the thirty most similar metabolites (10%) that may bind to the M^pro similar to GWS. Then, molecular docking against M^pro and pharmacophore studies led to the choice of five metabolites that exhibited good binding modes against the M^pro and good fit values against the generated pharmacophore model. Among them, three metabolites were chosen according to ADMET studies. The most promising M^pro inhibitor was determined by toxicity and DFT studies to be caprolactin A (292). Finally, molecular dynamics (MD) simulation studies were performed for caprolactin A to confirm the obtained results and understand the thermodynamic characteristics of the binding. It is hoped that the accomplished results could represent a positive step in the battle against COVID-19 through further in vitro and in vivo studies on the selected compounds.     

反事实增强的对抗学习序列推荐

最近,强化学习技术在序列推荐系统取得成功,它能从用户长期反馈信号中学习有效的推荐策略.然而,模型的激励函数设计面临区分度过低的难题.这限制了模型学习不同用户反馈信号间的价值差异的能力,并导致推荐策略总是次优的.现有工作主要通过调节衰减因子来保证激励函数区分度,但它依赖专家先验知识缺乏理论基础.为了更合理地设计激励函数和提高其区分度,本文依据因果论来分析推荐系统,并提出一种基于反事实区分度增强的序列推荐算法CAL4Rec.首先,所提出方法用结构因果图描述序列推荐过程,并创造性地用因果图定义了因果可鉴别的价值激励区分度.其次,该方法用反事实生成对抗的自监督学习过程优化推荐策略网络,以学习用户的真实倾向.在一系列序列推荐基准数据集上,对CAL4Rec开展了广泛对比和消融实验,实验结果表明CAL4Rec的提升对多种网络实现结构有效(平均2.34%).