Automatic identification of rock discontinuity and stability analysis of tunnel rock blocks using terrestrial laser scanning

Local geometric information and discontinuity features are key aspects of the analysis of the evolution and failure mechanisms of unstable rock blocks in rock tunnels.This study demonstrates the integration of terrestrial laser scanning(TLS)with distinct element method for rock mass characterization and stability analysis in tunnels.TLS records detailed geometric information of the surrounding rock mass by scanning and collecting the positions of millions of rock surface points without contact.By conducting a fuzzy K-means method,a discontinuity automatic identification algorithm was developed,and a method for obtaining the geometric parameters of discontinuities was proposed.This method permits the user to visually identify each discontinuity and acquire its spatial distribution features(e.g.occurrences,spac-ings,trace lengths)in great detail.Compared with hand mapping in conventional geotechnical surveys,the geometric information of discontinuities obtained by this approach is more accurate and the iden-tification is more efficient.Then,a discrete fracture network with the same statistical characteristics as the actual discontinuities was generated with the distinct element method,and a representative nu-merical model of the jointed surrounding rock mass was established.By means of numerical simulation,potential unstable rock blocks were assessed,and failure mechanisms were analyzed.This method was applied to detection and assessment of unstable rock blocks in the spillway and sand flushing tunnel of the Hongshiyan hydropower project after a collapse.The results show that the noncontact detection of blocks was more labor-saving with lower safety risks compared with manual surveys,and the stability assessment was more reliable since the numerical model built by this method was more consistent with the distribution characteristics of actual joints.This study can provide a reference for geological survey and unstable rock block hazard mitigation in tunnels subjected to complex geology and active rockfalls.

Fault Diagnosis and Separation for a Distributed Rotary-laser Scanning System

The wMPS is a laser-based measurement system used for large scale metrology.However,it is susceptible to external factors such as vibrations,which can lead to unreliable measurements.This paper presents a fault diagnosis and separation method which can counter this problem.To begin with,the paper uses simple models to explain the fault diagnosis and separation methods.These methods are then mathematically derived using statistical analysis and the principles of the wMPS.A comprehensive solution for fault diagnosis and separation is proposed,considering the characteristics of the wMPS.The effectiveness of this solution is verified through experimental observations.It can be concluded that this approach can detect and separate false observations,thereby enhancing the reliability of the wMPS.

Reformatted method for two-dimensional detector arrays measurement data in proton pencil beam scanning

The spatial resolution of a commercial two-dimensional(2D)ionization chamber(IC)array is limited by the size of the individual detector and the center-to-center distance between sensors.For dose distributions with areas of steep dose gradients,inter-detector dose values are derived by the interpolation of nearby detector readings in the conventional mathematical interpolation of 2D IC array measurements.This may introduce significant errors,particularly in proton spot scanning radiotherapy.In this study,by combining logfile-based reconstructed dose values and detector measurements with the Laplacian pyramid image blending method,a novel method is proposed to obtain a reformatted dose distribution that provides an improved estimation of the delivered dose distribution with high spatial resolution.Meanwhile,the similarity between the measured original data and the downsampled logfilebased reconstructed dose is regarded as the confidence of the reformatted dose distribution.Furthermore,we quantify the performance benefits of this new approach by directly comparing the reformatted dose distributions with 2D IC array detector mathematically interpolated measurements and original low-resolution measurements.The result shows that this new method is better than the mathematical interpolation and achieves gamma pass rates similar to those of the original low-resolution measurements.The reformatted dose distributions generally yield a confidence exceeding 95%.

Optimized air-ground data fusion method for mine slope modeling

Refined 3D modeling of mine slopes is pivotal for precise prediction of geological hazards.Aiming at the inadequacy of existing single modeling methods in comprehensively representing the overall and localized characteristics of mining slopes,this study introduces a new method that fuses model data from Unmanned aerial vehicles(UAV)tilt photogrammetry and 3D laser scanning through a data alignment algorithm based on control points.First,the mini batch K-Medoids algorithm is utilized to cluster the point cloud data from ground 3D laser scanning.Then,the elbow rule is applied to determine the optimal cluster number(K0),and the feature points are extracted.Next,the nearest neighbor point algorithm is employed to match the feature points obtained from UAV tilt photogrammetry,and the internal point coordinates are adjusted through the distanceweighted average to construct a 3D model.Finally,by integrating an engineering case study,the K0 value is determined to be 8,with a matching accuracy between the two model datasets ranging from 0.0669 to 1.0373 mm.Therefore,compared with the modeling method utilizing K-medoids clustering algorithm,the new modeling method significantly enhances the computational efficiency,the accuracy of selecting the optimal number of feature points in 3D laser scanning,and the precision of the 3D model derived from UAV tilt photogrammetry.This method provides a research foundation for constructing mine slope model.

Identification of key residues in protein functional movements by using molecular dynamics simulations combined with a perturbation-response scanning method

The realization of protein functional movement is usually accompanied by specific conformational changes,and there exist some key residues that mediate and control the functional motions of proteins in the allosteric process.In the present work,the perturbation-response scanning method developed by our group was combined with the molecular dynamics(MD)simulation to identify the key residues controlling the functional movement of proteins.In our method,a physical quantity that is directly related to protein specific function was introduced,and then based on the MD simulation trajectories,the perturbation-response scanning method was used to identify the key residues for functional motions,in which the residues that highly correlated with the fluctuation of the function-related quantity were identified as the key residues controlling the specific functional motions of the protein.Two protein systems,i.e.,the heat shock protein 70 and glutamine binding protein,were selected as case studies to validate the effectiveness of our method.Our calculated results are in good agreement with the experimental results.The location of the key residues in the two proteins are similar,indicating the similar mechanisms behind the performance of their biological functions.

ANALYSIS OF HUMAN PLACENTA BY ^(31)P NUCLEAR MAGNETIC RESONANCE AND THIN-LAYER CHROMATOGRAPHY SCANNING COMBINED WITH THE CORRECTIVE METHOD OF ABSORBANCE PROPORTIONAL COEFFICIENT

Five phospholipids in human placenta were determined by phosphorus 31 nuclear magnetic resonance(^(31)P NMR)spectroscopy and thin-layer chromatography(TLC) scanning combined with the corrective method of absorbance proportional coefficient. The NMR spectrometer used this investigation was a Bruker AM-500 spectrometer operating at 202.4 MHz for ^(31)P chemical shifts are relative to 85% phosphoric acid. TIC was carried out by silica gel H plate developed in chloroform-methanol-glacial acetic acid-ethanol-water(25:4:6:2:0.5),with Vaskovsky reagent as colour -developing agent of phospholipids.

Tip-Nanoparticle Near-Field Coupling in Scanning Near-Field Microscopy by Coupled Dipole Method

We use the couple dipole method to investigate the scanning near-field optical microscopy metallic tip-nanoparticle near-field interaction. Dependences of the local field intensity inside the nanoparticle on the nanosized tip shape,the tip open angle and the illumination angle are revealed. In combination with the previous results, we establish a complete model to understand the tip-nanoparticle near-field coupling mechanism.

Image reconstruction based on total-variation minimization and alternating direction method in linear scan computed tomography

Linear scan computed tomography （LCT） is of great benefit to online industrial scanning and security inspection due to its characteristics of straight-line source trajectory and high scanning speed. However, in practical applications of LCT, there are challenges to image reconstruction due to limited-angle and insufficient data. In this paper, a new reconstruction algorithm based on total-variation （TV） minimization is developed to reconstruct images from limited-angle and insufficient data in LCT. The main idea of our approach is to reformulate a TV problem as a linear equality constrained problem where the objective function is separable, and then minimize its augmented Lagrangian function by using alternating direction method （ADM） to solve subproblems. The proposed method is robust and efficient in the task of reconstruction by showing the convergence of ADM. The numerical simulations and real data reconstructions show that the proposed reconstruction method brings reasonable performance and outperforms some previous ones when applied to an LCT imaging problem.

Numerical Investigation of Laser Surface Hardening of AISI 4340 Using 3D FEM Model for Thermal Analysis of Different Laser Scanning Patterns

Laser surface hardening is becoming one of the most successful heat treatment processes for improving wear and fatigue properties of steel parts. In this process, the heating system parameters and the material properties have important effects on the achieved hardened surface characteristics. The control of these variables using predictive modeling strategies leads to the desired surface properties without following the fastidious trial and error method. However, when the dimensions of the surface to be treated are larger than the cross section of the laser beam, various laser scanning patterns can be used. Due to their effects on the hardened surface properties, the attributes of the selected scanning patterns become significant variables in the process. This paper presents numerical and experimental investigations of four scanning patterns for laser surface hardening of AISI 4340 steel. The investigations are based on exhaustive modelling and simulation efforts carried out using a 3D finite element thermal analysis and structured experimental study according to Taguchi method. The temperature distribution and the hardness profile attributes are used to evaluate the effects of heating parameters and patterns design parameters on the hardened surface characteristics. This is very useful for integrating the scanning patterns’ features in an efficient predictive modeling approach. A structured experimental design combined to improved statistical analysis tools is used to assess the 3D model performance. The experiments are performed on a 3 kW Nd:Yag laser system. The modeling results exhibit a great agreement between the predicted and measured values for the hardened surface characteristics. The model evaluation reveals also its ability to provide not only accurate and robust predictions of the temperature distribution and the hardness profile as well an in-depth analysis of the effects of the process parameters.

钻孔瞬变电磁法扫描探测RCQPSO-LMO组合算法2.5D反演

利用钻孔进行超前探测地质构造及含水体是地下开挖工程中的常规手段,如何利用这些钻孔进行钻孔瞬变电磁法扫描探测,从而实现钻孔孔壁外围地质异常体的精细探测,对实现地下工程地质透明化具有重要的指导意义.本文提出钻孔瞬变电磁法扫描探测2.5D反演的数据解译方法,首先针对随机性反演算法时效性低,易陷入局部最优解,而确定性反演算法依赖初始模型的问题,提出了组合策略的量子粒子群优化算法用来随机搜索最优初始模型.在此基础上,利用Levenberg-Marquarat方法求解Occam反演的目标函数,形成了RCQPSO-LMO组合算法进行2.5D反演,通过对比组合算法和单一算法,验证了组合算法具有更精确的反演结果.其次结合屏蔽条件下扫描探测,对比分析了有无屏蔽的2.5D反演结果,通过设定屏蔽系数对非探测方向信号进行部分压制,可以较好地解决钻孔径向扫描探测中对非探测方向信号部分屏蔽下的反演及成像.最后建立三组理论模型进行组合算法2.5D反演,结果表明:组合算法反演结果与理论模型的一致性较好,对低阻异常体的反演精度较高,验证了组合算法对钻孔孔壁外围低阻异常体具有较高的反演精度和分辨能力.

钻孔瞬变电磁法方位线圈扫描探测定位方法

利用掘进巷道超前探水钻孔进行钻孔瞬变电磁法探测钻孔孔壁外围远距离含水体,避免了常规测井方法仅能探测钻孔孔壁岩层的“一孔之见”。目前钻孔瞬变电磁法受全空间效应的影响,接收到的单分量响应不能判别异常体方位;多分量响应可以近似判断异常体的大致方位,但难以通过成像等直观有效的方法对其进行精确定位。基于钻孔瞬变电磁法和方位电磁波测井相关理论,提出了钻孔瞬变电磁法方位线圈扫描探测定位方法,采用方位线圈作为探测装置,减小线圈互感,增强钻孔瞬变电磁法的探测效果。同时,通过改变线圈旋转角,对钻孔孔壁进行360°扫描,形成钻孔径向全方位探测,旨在对钻孔孔壁外围岩体中的低阻体进行精确定位。首先推导方位线圈的互感解析表达式,探讨方位角对方位线圈互感的影响,通过数值计算确定最佳方位角取值。分别建立均匀介质和含低阻异常体的钻孔全空间三维地质-地球物理模型进行瞬变电磁场数值模拟,分析方位线圈的瞬变电磁法扫描探测多分量响应特征,总结方位线圈扫描探测瞬变电磁响应规律,确定了钻孔瞬变电磁法方位线圈扫描探测定位方法,即通过钻孔轴向和径向的瞬变电磁响应特征判别钻孔孔壁外围岩体中低阻异常体的位置。最后建立含2个低阻体的地质-地球物理模型,采用最佳方位角的方位线圈进行数值实验,验证了该方法能有效地判别低阻异常体的方位。研究表明:钻孔瞬变电磁法方位线圈扫描探测结果可以较好地反映钻孔径向外围岩体中低阻异常体引起的瞬变电磁场异常,全空间视电阻率成像结果分辨率较高。依据钻孔轴向和径向的瞬变电磁响应特征,钻孔瞬变电磁法方位线圈扫描探测定位方法对钻孔孔壁外围岩体中的低阻异常体具有较高的分辨率及定位精度。研究结果可以为钻孔瞬变电磁法方位线圈扫描探测定位方法的实际应用提供理论依据。

高能激光光束质量β因子测量方法

高能激光光束质量β因子测量装置主要用于强激光系统状态调试和综合性能参数诊断,用于评价激光系统出光性能以及远场光斑可聚焦的能力。针对接近衍射极限光束质量β因子测量过程中被测光斑在面阵相机上所占的像素点太少等缺陷,研究了采用聚焦显微放大与高精度扫描狭缝相结合的光束质量β因子测量方法,并对相关方案进行了分析计算。此外还设计了采用固定像差元件及平行光管光源组合的激光光束质量β因子测量结果验证方案,对研制的高能激光光束质量β因子测量装置进行了不确定度分析,测量不确定度优于10%。

基于勒让德-扫描法的机械结合部法向接触刚度区间分析

由于机械结合部实际接触时存在诸多不确定因素,利用传统接触刚度模型对机械结合部进行分析时,难以确定其法向接触刚度的合理区间。为此,将微凸体曲率半径、分布密度和微凸体高度方差视为不确定性参数,基于KE弹塑性接触刚度模型和勒让德-扫描法,建立结合部法向接触刚度区间模型并进行求解。通过与接触刚度试验数据及传统模型求解结果的对比,验证了该模型的有效性和准确性。基于该模型对结合部法向接触刚度进行分析,结果表明:勒让德-扫描法具有较高的求解精度,粗糙表面形貌参数不确定性对于结合部法向接触刚度有着明显影响,且随着无量纲接触距离的减小,影响程度逐渐增加,其中微凸体高度方差的不确定性对粗糙表面法向接触刚度影响程度最大。机械结合部法向接触刚度区间模型的建立与分析,可为结合部的研究提供参考。

基于四电极多频率扫描的生物阻抗法人体成分测试仪设计

生物阻抗包含丰富的人体病理和生理电信号,可以作为医务人员准确判断病人症状和治疗疾病的主要依据。基于此,提出一种基于Cole-Cole理论的人体多种参数测量系统。构建人体阻抗模型,通过碳纳米材料电极对人体阻抗进行采集分析,得到人体的各种成分参数。通过信号发生电路产生注入人体的低频信号,利用幅度检测电路检测流经人体电流产生的电压,采用分段检测法测得人体不同分段的阻抗信息;信号经放大电路输入RT1052微处理器,对数据和人体成分参数相关性进行分析,得到人体各种成分参数并显示测量结果。通过对系统进行测试分析,得出所设计系统能够准确地对人体蛋白质、脂肪等参数进行测量,误差范围可以控制在5%以内,具有很好的应用前景。

硼砂煅制工艺优化及质量评价

目的 优化硼砂煅制工艺,并对其进行质量评价。方法 以铺设厚度、煅制温度、煅制时间为影响因素,失水率、蓬松度、粉碎率、四硼酸钠含量为评价指标,星点设计-效应面法优化硼砂煅制工艺。采用扫描电镜(SEM)、热重分析(TG)、拉曼光谱、X射线衍射(XRD),比较硼砂煅制前后质量差异。结果 最佳条件为铺设厚度2 cm,煅制温度365℃,煅制时间100 min。煅制后,硼砂微观形态、成分组成、晶型结构发生变化,失去全部结晶水而转变为非晶体状态。结论 该方法稳定可行,可用于工业大批量生产煅硼砂。

硅基OLED微显示器的集中式融合扫描策略

本研究针对数字驱动型硅基OLED(Organic Light-emitting Diode,OLED)微显示器在显示动态图像时引发的视觉感知问题,尤其是动态假轮廓和闪烁现象,提出了一种新的扫描策略——集中式融合扫描。集中式融合扫描策略采用灰度权值重分配和融合子场概念,通过对整数子场数目和权值的重新分配,以及将融合子场固定于调制周期中间位置,改善显示器图像质量。实验结果表明,集中式融合扫描在峰值信噪比方面较传统扫描方法平均提高约13%,均方误差降低了约10%,并且结构相似度评分接近1,显著高于现有扫描方法。集中式融合扫描在JEITA闪烁评估中的表现优于19子场扫描法,闪烁量化值降低了约22%。集中式融合扫描策略在改善数字驱动型硅基OLED微显示器的图像显示质量方面提供了一种有效解决方案,为未来显示技术的研究和创新提供了新的方向。

基于激光扫描的电子档案异构时态数据检测方法

研究一种基于激光扫描的电子档案异构时态数据检测方法,该方法利用激光扫描获取数据并生成电子档案。针对电子档案中的数据实施缺失数据填补和离群数据处理。提取电子档案数据的递归率、仙农熵以及歪度三个特征。结合随机森林算法,输入递归率、仙农熵以及歪度三个特征,得出电子档案异构时态数据类型。结果表明:1处和3处边坡工程的位移处于轻微状态;2处边坡工程的位移处于严重状态;4处边坡工程的位移处于安全状态;5处边坡工程的位移处于较严重状态。所研究方法的Kappa系数达到相对最大值,说明所研究方法的检测能力更高。

银耳多糖对麦醇溶蛋白纳米体系的影响及复合物的特性研究

该研究是以提高麦醇溶蛋白(gliadin,Gli)纳米颗粒(gliadin nanoparticles,GNPs)稳定性为目标,利用银耳多糖(Tremella fuciformis polysaccharides,TFPs)的乳化性能,探究TFPs添加量对GNPs稳定性的影响。采用反溶剂法制备银耳多糖和麦醇溶蛋白复合载体颗粒(gliadin-Tremella fuciformis polysaccharides composite nanoparticles,G/T NPs),并利用纳米粒度仪、傅里叶变换红外光谱仪、热场发射扫描电镜对G/T NPs的粒径和电位、相互作用、微观结构进行分析。结果表明,TFPs和Gli之间通过静电作用力和氢键作用力相结合,形成GNPs在内、TFPs外层附着的复合颗粒;TFPs的添加能够有效提高GNPs体系的稳定性,减少颗粒之间的聚集,制得的G/T_(4∶1)NPs的平均粒径、多分散指数(polydispersion index,PDI)、ζ-电位分别为(198.5±2.6)nm、0.269±0.005、(36.7±0.6)mV,且具有pH响应性。该研究为后续构建疏水营养成分的包埋和运载体系奠定了基础。

基于胸部薄层CT扫描的肺磨玻璃影病变“四分型法”在临床中的应用研究

目的探讨基于胸部薄层CT扫描(TSCT)的肺磨玻璃影(GGO)病变“四分型法”在临床中的应用价值。方法回顾性分析2020年1月至2022年12月于首都医科大学宣武医院接受胸腔镜手术治疗的1541例患者的临床资料,共包含肺GGO病变2005例次。采用“四分型法”对肺GGO病变进行分型:Ⅰ型,无空泡征和(或)细支气管征的纯GGO(p-GGO);Ⅱ型,有空泡征和(或)细支气管征的p-GGO;Ⅲ型,仅在肺窗可见实性成分的异质性磨玻璃影(h-GGO);Ⅳ型,在肺窗和纵隔窗均可见实性成分的部分实性磨玻璃影(ps-GGO)。分析肺GGO病变影像学特征[最大径、病变类型、发生部位、分型、肿瘤实性成分占比(CTR)等]与术后病理检查结果的关联性。结果1541例患者自发现肺GGO至接受手术治疗的时间为0.10~156.00个月,平均11.23个月,其间肺GGO病变变化不明显1255例次(62.59%),最大径增大536例次(26.73%),密度增高45例次(2.24%),最大径增大伴密度增高169例次(8.43%)。术前肺GGO最大径为(13.21±7.90)mm;主要为单发病变[1098例次(54.76%)];多分布于右肺上叶[757例次(37.76%)]。肺GGO类型:Ⅰ型248例次(12.37%),Ⅱ型682例次(34.01%),Ⅲ型862例次(42.99%),Ⅳ型213例次(10.62%)。CTR≤25%有950例次(47.38%),25%<CTR≤50%有616例次(30.72%)、50%<CTR≤75%有314例次(15.66%),CTR>75%有125例次(6.23%)。肺GGO病变中,良性病变186例次(9.28%),恶性病变1819例次(90.72%),其中包括腺体前驱病变744例次,浸润期病变1075例次。分析结果显示,肺GGO病变术后病理检查结果与GGO最大径、病变类型、发生部位、分型、CTR及随访变化情况均存在关联性(P<0.05)。对应分析结果显示,与肺GGO病变CTR相比,肺GGO病变分型散点与术后病理恶性变[不典型腺瘤样增生(AAH)、原位腺癌(AIS)、微浸润腺癌(MIA)、浸润期腺癌(IA)]散点在二维分布图中更为接近,提示基于“四分型法”的肺GGO影像学特征与术后病理恶性变有更好的对应关系。结论基于TSCT的肺GGO病变“四分型法”有助于临床医师更好地评估以GGO为主要影像学表现的早期肺癌的风险度。

基于智能优化算法的高频变压器电磁结构优化设计

高频变压器(HFT)作为电力电子变换器等功率变换装备的核心部件,其优化设计是实现高功率密度、高效率和高可靠性的重要环节。为有效解决高频条件下显著的涡流效应和复杂紧凑的结构使变压器损耗难以准确计算、针对绝缘设计裕量不足的问题,本文提出计及高频效应和结构效应的电磁场建模方法,构建了高频变压器多目标协同优化设计方案。首先建立了低成本与高效率兼备的磁心损耗计算模型。其次,根据面积等效原理推导了考虑绕组结构效应的近似Dowell模型,实现绕组损耗的高精度计算。然后提出了考虑绕组端部效应和频率影响的漏感计算模型,减小漏感对于结构和频率的依赖性。在此基础上,采用一种新型多重绝缘结构,提高绕组间的绝缘耐压水平。最后,基于改进的非支配排序遗传算法(INSGA-Ⅱ)和自由参数扫描法建立了高频变压器的优化设计流程,根据筛选的最优设计方案研制了一台高频变压器样机。