Fiber Bundle Topology Optimization for Surface Flows

This paper presents a topology optimization approach for the surface flows on variable design domains.Via this approach,the matching between the pattern of a surface flow and the 2-manifold used to define the pattern can be optimized,where the 2-manifold is implicitly defined on another fixed 2-manifold named as the base manifold.The fiber bundle topology optimization approach is developed based on the description of the topological structure of the surface flow by using the differential geometry concept of the fiber bundle.The material distribution method is used to achieve the evolution of the pattern of the surface flow.The evolution of the implicit 2-manifold is realized via a homeomorphous map.The design variable of the pattern of the surface flow and that of the implicit 2-manifold are regularized by two sequentially implemented surface-PDE filters.The two surface-PDE filters are coupled,because they are defined on the implicit 2-manifold and base manifold,respectively.The surface Navier-Stokes equations,defined on the implicit 2-manifold,are used to describe the surface flow.The fiber bundle topology optimization problem is analyzed using the continuous adjoint method implemented on the first-order Sobolev space.Several numerical examples have been provided to demonstrate this approach,where the combination of the viscous dissipation and pressure drop is used as the design objective.

Statistical Constitutive Equation of Aramid Fiber Bundles

Tensile impact tests of aramid (Twaron) fiber bundles were carried out under high strain rates with a wide range of 0. 01/s -1 000/s by using MTS and bar-bar tensile impact apparatus. Based on the statistical constitutive model of fiber bundles, statistical constitutive equations of aramid fiber bundles are derived from statistical analysis of test data at different strain rates. Comparison between the theoretical predictions and experimental data indicates statistical constitutive equations fit well with the experimental data, and statistical constitutive equations of fiber bundles at different strain rates are valid.

MAXWELL-EINSTEIN METRICS ON COMPLETIONS OF CERTAIN C* BUNDLES

In this paper,we prove that for some completions of certain fiber bundles there is a Maxwell-Einstein metric conformally related to any given Kahler class.

Model-based deep learning for fiber bundle infrared image restoration

As the representative of flexibility in optical imaging media,in recent years,fiber bundles have emerged as a promising architecture in the development of compact visual systems.Dedicated to tackling the problems of universal honeycomb artifacts and low signal-to-noise ratio(SNR)imaging in fiber bundles,the iterative super-resolution reconstruction network based on a physical model is proposed.Under the constraint of solving the two subproblems of data fidelity and prior regularization term alternately,the network can efficiently“regenerate”the lost spatial resolution with deep learning.By building and calibrating a dual-path imaging system,the real-world dataset where paired low-resolution(LR)-high-resolution(HR)images on the same scene can be generated simultaneously.Numerical results on both the United States Air Force(USAF)resolution target and complex target objects demonstrate that the algorithm can restore high-contrast images without pixilated noise.On the basis of super-resolution reconstruction,compound eye image composition based on fiber bundle is also embedded in this paper for the actual imaging requirements.The proposed work is the first to apply a physical model-based deep learning network to fiber bundle imaging in the infrared band,effectively promoting the engineering application of thermal radiation detection.

Capillary Micro-flow Through a Fiber Bundle(Part 2)

A numerical model was proposed to simulate the capillary micro-flow through a fiber bundle. The capillary pressure was predicted by the Young-Laplace equation and the corresponding optimal values of permeability were found by a trial-and-error method. The empirical Kozeny constants which are dependent on fiber volume fraction were recormnended for the prediction of permeability.

Capillary Micro-Flow Through a Fiber Bundle(Ⅰ)

The present work considered the capillary micro-flow through a fiber bundle.The resin heights in the fiber bundle as a function of time were used to determine the experimental values of capillary pressure and the permeability by the nonlinear regression fitting method.The fitting curves showed a good agreement with experiments.However,these values of capillary pressure from short-time experiments were much lower than the theoretical results from the Yang-Laplace Equation.More accurate capillary pressure was predicted from the presented long-run experiment.

ESTIMATION OF BLENDING RATIO OF TWO-COMPONENT FIBER BUNDLE FROM BUNDLE LOAD-ELONGATION CURVE

In this paper, two methods were developed to assess the blending ratio of two-componentfiber bundles. They were the peak-height method and the slope method. The relationship be-tween blending ratio and testing data was analysed, and the regression curves were obtained bystepwise regression method. It was pointed out that the testing errors of both methods were lessthan two percent. The validities of both methods were verified by experiments, All calculationsof both methods were completed by computer. The blending ratio was ascertained from the test-ing data of bundle fiber strength tester which was made by the authors themselves.

Experimental Investigation on Fracture Performance of Short Basalt Fiber Bundle Reinforced Concrete

In this paper,a notched three-point bending test is used to study the fracture performance of the short basalt fiber bundle reinforced concrete(SBFBRC).To compare and analyze the enhancement effect of different diameters and different content of basalt fiber bundles on the fracture performance of concrete,some groups are set up,and the P-CMOD curves of each group of specimens are measured,and the fracture toughness and fracture energy of each control group are calculated.The fracture toughness and fracture energy are two important fracture performance parameters to study the effect and law of the new basalt fiber bundles on the fracture performance of concrete.The research results show that the diameter and content of the new basalt fiber bundles have a certain effect on the fracture performance of concrete.With the increase of the content of basalt fiber bundles,the peak load,crack initiation toughness,instability toughness and fracture energy of SBFBRC are greatly improved compared with the benchmark group.When the fiber bundle diameter is 0.2 mm,the peak load increases by 69.5%compared with the reference group.The instability toughness reaches its maximum value at 0.2 mm diameter,which is 59.7%higher than the benchmark.

Morphology and fractal characteristic of deposits formed during fiber bundle media filtration

The scanning electronic microscope and automated image analyzer are adopted to investigate the morphology of deposits formed during fiber bundle media filtration, which results in the discovery of the self—similarity of the deposits. Then in this paper it is proposed that the deposits are a fractal structure. Moreover, the fractal dimension value is related to the filter performance. The higher the fractal dimension value, the higher the filtration efficiency, and the longer filtration cycle, but the development of the head loss is also faster.

A bellow pressure fiber optic sensor for static ice pressure measurements

Static ice pressure affects safe operation of hydraulic structures. However, current detection methods are hindered by the following limitations： poor real-time performance and errors owing to the partial pressure of the surrounding wall on traditional electrical resistance strain bellow pressure sensors. We developed a fiber optic sensor with a special pressure bellow to monitor the static ice pressure on hydraulic structures and used the sensor to measure static pressure in laboratory ice growth and melting tests from -30℃ to 5℃. The sensor resolution is 0.02 kPa and its sensitivity is 2.74 × 10-4/kPa. The experiments suggest that the static ice pressure peaks twice during ice growth and melting. The first peak appears when the ice temperature drops to -15℃ owing to the liquid water to solid ice transition. The second peak appears at 0℃ owing to the thermal expansion of the ice during ice melting. The novel fiber optic sensor exhibits stable performance, high resolution, and high sensitivity and it can be used to monitor the static ice pressure during ice growth and melting.

Diffusion tensor imaging fiber tracking with reliable tracking orientation and flexible step size

We propose a method of reliable tracking orientation and flexible step size fiber tracking. A new directional strategy was defined to select one optimal tracking orientation from each directional set, which was based on the single-tensor model and the two-tensor model. The directional set of planar voxels contained three tracking directions： two from the two-tensor model and one from the single- tensor model. The directional set of linear voxels contained only one principal vector. In addition, a flexible step size, rather than fixable step sizes, was implemented to improve the accuracy of fiber tracking. We used two sets of human data to assess the performance of our method; one was from a healthy volunteer and the other from a patient with low-grade glioma. Results verified that our method was superior to the single-tensor Fiber Assignment by Continuous Tracking and the two-tensor eXtended Streamline Tractography for showing detailed images of fiber bundles.

时间分辨动态LIBS测量方法

针对激光诱导击穿光谱(LIBS)研究对时间分辨动态光谱测量方法的需求,建立了基于多通道光纤束的动态LIBS测量方法。该方法首先利用不同长度的光纤组成多通道光纤束,对瞬态LIBS信号进行差异延迟,使按照特定时间序列发射的光谱信号同步到达探测器,而后采用面阵ICCD相机对同步到达的多通道光谱信号进行高时间分辨探测。该方法单次测量即可获得LIBS辐射不同时刻的时间分辨光谱。为了验证基于多通道光纤束的动态LIBS测量方法,研制了具有19个通道的光纤束,光纤束中包含的各个单根光纤长度呈等差数列排布,长度差设置为10 m,对应测量的时间间隔约为50 ns,单次测量记录的总时间长度近900 ns。分别基于短脉冲激光光源和标准光源,开展了系统时间响应和光谱响应特性研究,获得了系统的时间响应数据和光谱响应曲线。用YAG激光器的二倍频激光(532 nm)诱导Si产生等离子体辐射光谱,在线测量了辐射光谱的时间演化历程,获得了Si等离子体辐射过程中SiⅠ390.52 nm,SiⅡ385.51 nm,SiⅡ413.12 nm谱线从0~898 ns时间范围内19个时刻的光谱信息,获得了特征光谱的演化规律,验证了该测量方法的可行性。结果表明,利用该测量方法,单次测量可以获得瞬态LIBS辐射过程中19个时刻的光谱参数,具有很高的测量效率。对于实验成本较高、运行频率低的激光诱导等离子体实验研究,采用该方法可以大大降低了测量成本,有效提升等离子体时间分辨动态光谱测量能力。

The Bundle Effect of UD-laminate Made of Friction Spun Core Yarn as Premix

Consolidation of thermoplastic unidirectional(UD)lami-nate with friction spun core yarns was investigated,espe-cially the characterization of filament bundles in consoli-dation was analyzed.The results showed that the bundleeffect was affected considerably by processing conditions(applied pressure and processing time).The boundaryof the bundles was disappeared under suitable processingconditions and finally an even fiber/resin distributioncould be attained.In consolidation,filament bundlesgetting close each other and resin flowing into the bundl-es occurred simultaneously,and eventually the bundleswere fully impregnated by the resin.Fiber packing den-sity in UD-laminate was the same as that of frictionspun core yarn(55%-65% in volume)and was not af-fected significantly by processing conditions under thecurrent experimental conditions.

磁共振弥散张量成像评估针刺治疗儿童孤独症的疗效价值研究

目的 采用磁共振弥散张量成像(diffusion tensor imaging, DTI)观察针刺治疗前后孤独症谱系障碍(autism spectrum disorder, ASD)患儿脑白质微观结构的变化,以探索针刺在ASD中应用价值及DTI在评估针刺效果中作用。材料与方法 前瞻性纳入2021年11月至2022年10月在我院确诊的ASD患儿,按照随机数字表法分为针刺组和假针刺组,进行12周的干预治疗,于治疗前(第0周)及治疗后(第12周)行儿童孤独症评定量表(Child Autism Rating Scale, CARS)、孤独症儿童行为量表(Autism Behavior Checklist, ABC)、孤独症疗效评价量表(Autism Treatment Evaluation Checklist, ATEC)及DTI检查。比较两组间各项量表评分变化,采用基于纤维束示踪的空间统计方法(tract-based spatial statistics, TBSS)分析两组间脑白质各向异性分数(fractional anisotropy, FA)的差异,继而比较FA有差异脑区的平均弥散率(mean diffusivity, MD)、径向弥散系数(radial diffusivity, RD)和轴向弥散系数(axial diffusivity, AD)的不同及量表评分与DTI参数相关性。结果 与假针刺组相比,治疗后针刺组各项量表评分较治疗前显著降低,差异具有统计学意义(P<0.05)。治疗后两组间FA值差异具有统计学意义(P<0.05),RD值差异无统计学意义(P>0.05),AD值两组间在左下纵束差异有统计学意义(P<0.05)。相关性分析发现:ASD患儿ATEC评分与右扣带回的FA值呈负相关,与右额枕下束、右下纵束、右扣带回的RD值呈正相关,与右扣带回的AD值呈正相关;CARS评分与右扣带回的AD值呈正相关(P<0.05)。右下纵束的FA值与ASD患儿的语言问题、感知觉异常呈负相关,RD值与社交障碍、感知觉异常呈正相关;右扣带回的FA值与语言问题、社交障碍、感知觉异常呈负相关,而RD值与上述临床症状呈正相关,AD值与社交障碍、健康问题呈正相关;双侧额枕下束FA值与感知觉异常存在负相关,右额枕下束RD值与其社交障碍、感知觉异常呈正相关;右上纵束的RD值与感知觉异常呈正相关;左丘脑前辐射束的AD值与感知觉异常呈正相关(P<0.05)。结论 针刺可能通过促进脑白质纤维束完整性增强,从而改善ASD患儿临床症状,尤其在言语、社交、感知觉、健康问题等方面,进而说明DTI在评估针刺治疗效果中具有重要价值。

碳纤维复合材料压缩强度影响因素研究

采用碳纤维束丝法制备碳纤维复合材料,借助DSC、XRD、SEM、万能材料试验机和动态接触角等测试方法,研究了碳纤维和树脂性能对碳纤维复合材料压缩强度的影响。实验结果表明,与环氧树脂E51相比,浇铸体拉伸模量较高的环氧树脂TDE85制备的碳纤维复合材料压缩强度较高;在本研究范围内,树脂环向支撑厚度增加有利于碳纤维复合材料压缩强度的提高;受微晶结构抵抗外界破坏能力的影响,HTS40,CCF300,CCF700H三种碳纤维复合材料的压缩强度随着碳纤维拉伸强度和拉伸模量的增大而增大,而T800H,GW5535,M40J三种碳纤维复合材料的压缩强度随拉伸模量的增加呈下降趋势。

竹龄和竹秆纵向部位对簕竹材性及纤维性能的影响

【目的】研究竹龄及竹秆纵向部位对簕竹Bambusa blumeana材性及纤维性能的影响,为簕竹的开发利用提供理论和实践依据。【方法】通过范式洗涤法、纤维离析与显微观察、碱煮法对竹龄(1、2、3、4 a)和竹秆纵向部位(基部、中部、梢部)的簕竹密度、纤维形态、化学组分、力学性能、纤维束拉伸性能进行性能分析。【结果】随竹龄的增长,簕竹的气干密度、全干密度、木质素质量分数、拉伸强度、顺纹抗剪强度随之增大,纤维素质量分数逐渐降低。竹龄为2、3、4 a的簕竹,其竹秆不同纵向部位的平均长度差异极显著(P<0.01)。簕竹的纤维形态受竹秆纵向部位的影响较为明显。簕竹竹秆纵向部位基部至梢部,气干密度、全干密度、木质素质量分数、抗弯强度、顺纹抗剪强度及纤维束拉伸强度和模量均增大,纤维素质量分数逐渐降低。竹龄和竹秆纵向部位对半纤维质量分数、苯醇抽提物质量分数的影响不显著。【结论】簕竹纤维性能优良,在纤维化开发利用方面具有较大潜力。簕竹不同竹龄及竹秆纵向部位性能差异显著,其中竹龄为3和4 a的簕材可作为加工开发的优先选取材料。

缓解期双相情感障碍Ⅰ型患者白质纤维结构异常的扩散张量成像研究

目的:探讨缓解期双相情感障碍(BD)Ⅰ型患者脑白质神经纤维束的改变,及患者认知功能与脑白质病变的关系。方法:采用汉密尔顿抑郁量表(HAMD),杨氏躁狂量表(YMRS)和重复性成套神经心理状态量表(RBANS)对患者进行入组的筛查与认知评估。应用3.0T磁共振仪对76例缓解期BD-Ⅰ型患者以及66例年龄、性别相匹配的健康志愿者(对照组)行DTI扫描,使用PANDA软件包提取全脑白质纤维束的各向异性分数(FA)和平均扩散率(MD),采用独立样本t检验进行组间差异比较,及Pearson相关分析探讨BD组中各纤维束的FA与临床可重复神经心理状态测验(RBANS)评分间的相关性。结果:相较于对照组,BD-Ⅰ型组的左、右侧钩束、右侧上纵束、右侧下额枕束及左侧毯束的FA值降低,MD值升高,差异均具有统计学意义(P<0.01)。BD-Ⅰ型组的左、右侧钩束、右侧上纵束和右侧下额枕束的FA值与RBANS量表评估的总分及即刻记忆、延迟记忆、视觉广度和注意力四项因子的评分均具有正相关关系(r=0.32~0.44,P均<0.05)。结论:缓解期双相障碍BD I型患者多个脑白质神经纤维束微观结构受损,且与认知功能改变相关。

新型玄武岩纤维束混凝土耐久性能试验

为研究新型玄武岩纤维束混凝土的耐久性能,研究了玄武岩纤维束掺量和长度对混凝土抗氯离子渗透性能、抗冻性方面的影响.结果表明:加入玄武岩纤维束后导致混凝土抗氯离子渗透性能降低,纤维束的掺量越大,氯离子扩散系数越大;玄武岩纤维束掺量相同时,短纤维束混凝土抗氯离子的渗透性优于长纤维束混凝土;掺入玄武岩纤维束有利于提高混凝土的抗冻性能,当掺量达到7.96 kg/m^(3)后,随纤维掺量继续增多,混凝土相对动弹性模量的降幅差别不大,掺量为11.94 kg/m^(3)时,抗压强度损失率最低,为11.4%;玄武岩纤维束掺量相同时,不同长度的玄武岩纤维束对混凝土的相对动弹性模量排序为30 mm>20 mm>40 mm,抗压强度损失率排序为30 mm<20 mm<40 mm.

高频超声在极微型唇裂诊断中的应用与影像学特征分析

目的:探讨高频超声在极微型唇裂诊断和治疗中的应用价值。方法:根据纳入排除标准收集12例极微型唇裂患儿的临床资料,男10例,女2例,平均年龄2.6岁,所有患儿在术前拍摄正面照片并行高频超声检查,测量并评价皮下结缔组织与口轮匝肌浅层厚度、口轮匝肌深层厚度、口轮匝肌的交叉纤维束厚度和角度等各项指标。结果:高频超声下可见红唇与人中嵴凹陷,患侧上唇口轮匝肌浅层与皮下结缔组织层可见不规则低回声,浅层口轮匝肌层厚度较健侧薄(P=0.005);深层口轮匝肌及结缔组织均未见明显的异常回声。患侧口轮匝肌交叉纤维束与水平参考线之间的角度较健侧大(P<0.001)。结论:通过高频超声检查可显示极微型唇裂患者上唇皮下结缔组织与口轮匝肌的异常,为制定个体化治疗方案提供参考依据。

纤维束拉伸件几何尺寸对界面横向拉伸强度影响分析

纤维与基体的界面对复合材料的力学性能和耐久性有很大影响。相比于传统界面测试方法得到的界面剪切强度(IFSS),采用横向纤维束拉伸试验测得的横向拉伸界面强度可直观地反映纤维束与树脂间的界面性能,同时不受纤维组织微结构的影响,是树脂传递模塑(Resin transfer moul-ding, RTM)成型三维机织复合材料性能预测所需的重要参数。本工作建立了一种考虑纤维与树脂的热膨胀系数差异以及树脂固化收缩影响的横向纤维束拉伸试样的有限元模型,分析界面处的横向应力分布和破坏模式。然后用RTM工艺制备碳纤维束增强环氧树脂横向拉伸试验件,结果验证了模型的准确性。比较不同横向拉伸试样在界面处的受力状态,结果表明,十字型试样能有效改善边缘应力集中的现象,且在界面中心区域受力均匀,得到的横向拉伸强度更加精确。此外,讨论了十字型样品的伸出端宽度、长度等特征尺寸以及增强纤维类型对测试结果的影响。在选择纤维束横向拉伸试样时,为获得更加准确的界面横向拉伸强度,试样伸出端的宽度应尽可能大一些,但需要小于伸出端总长度的1/2以获得理想的破坏模式。