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Statistical analysis of helium bubbles in transmission electron microscopy images based on machine learning method

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Nuclear Science and Techniques 2021年第5期32卷 107-117页

作者： Zhong-Hang Wu Ju-Ju Bai Di-Da Zhang Gang Huang tian-bao zhu Xi-Jiang Chang Ren-Duo Liu Jun Lin Jiu-Ai Sun Department of Scientific Research Shanghai University of Medicine and Health Sciences Affiliated Zhoupu HospitalShanghai 201318China Shanghai Key Laboratory of Molecular Imaging Shanghai University of Medicine and Health SciencesShanghai 201318China Shanghai Institute of Applied Physics Chinese Academy of ScienceShanghai 201800China Shanghai Shanghe Intelligent Technology Co.Ltd. Shanghai 201800China College of Science Donghua UniversityShanghai 201620China School of Medical Imaging Shanghai University of Medicine and Health SciencesShanghai 201318China

Helium bubbles,which are typical radiation microstructures observed in metals or alloys,are usually investigated using transmission electron microscopy(TEM).However,the investigation requires human inputs to locate and mark the bubbles in the acquired TEM images,rendering this task laborious and prone to *** this paper,a machine learning method capable of automatically identifying and analyzing TEM images of helium bubbles is proposed,thereby improving the efficiency and reliability of the *** the proposed technique,helium bubble clusters are first determined via the densitybased spatial clustering of applications with noise algorithm after removing the background and noise *** each helium bubble cluster,the number of helium bubbles is determined based on the cluster size depending on the specific image ***,the helium bubble clusters are analyzed using a Gaussian mixture model,yielding the location and size information on the helium *** contrast to other approaches that require training using numerous annotated images to establish an accurate classifier,the parameters used in the established model are determined using a small number of TEM *** results of the model formulated according to the proposed approach achieved a higher F1 score validated through some helium bubble images manually ***,the established model can identify bubble-like objects that humans cannot facilely *** computationally efficient method achieves object recognition for material structure identification that may be advantageous to scientific work.

关键词： TEM GMM DBSCAN Helium bubble Machine learning

Amelioration of extrapontine myelinolysis associated with severe hyponatremia in a patient with Sheehan,s syndrome

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Amelioration of extrapontine myelinolysis associated with se...

中华医学会第十七次全国神经病学学术会议

作者： tian-bao zhu Huai-yu Li the department of Neurology Anhui Provincial Hospital affiliated to Anhui Medical University

CPM/EPM is a demyelinating disease associated with rapid shits in serum ***,we report a case of EPM without CPM and ameliorated with intraveneous glucocorticoidin.

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矿区建设中环境污染的现状以及预防措施

煤炭技术 2012年第7期31卷 195-197页

作者：田宝柱李琳河北联合大学河北唐山063009 河北能源职业技术学院河北唐山063000

随着煤矿建设的进一步开展,所造成的环境污染问题日益突出。文章论述了矿区建设中环境污染预防的重要性,阐明了矿区建设中包括大气污染、水污染、固体废物污染、地表景观污染在内的环境污染现状,并就矿区建设中环境污染的预防措施进行分... 详细信息

随着煤矿建设的进一步开展,所造成的环境污染问题日益突出。文章论述了矿区建设中环境污染预防的重要性,阐明了矿区建设中包括大气污染、水污染、固体废物污染、地表景观污染在内的环境污染现状,并就矿区建设中环境污染的预防措施进行分析,为矿区建设的实际开展提供支持。

关键词：矿区建设环境污染现状预防措施

Fracture evolution and localization effect of damage in rock based on wave velocity imaging technology

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Journal of Central South University 2021年第9期28卷 2752-2769页

作者： ZHANG Yan-bo YAO Xu-long LIANG Peng WANG Ke-xue SUN Lin tian bao-zhu LIU Xiang-xin WANG Shan-yong School of Mining Engineering North China University of Science and TechnologyTangshan 063210China ARC Centre of Excellence for Geotechnical Science and Engineering Faculty of Engineering and Built EnvironmentThe University of NewcastleCallaghanNSW 2238Australia

By utilizing wave velocity imaging technology,the uniaxial multi-stage loading test was conducted on siltstone to attain wave velocity imagings during rock *** on the time series parameters of acoustic emissions(AE),joint response characteristics of the velocity field and AE during rock fracture were ***,the localization effect of damage during rock fracture was explored by applying wave velocity *** experimental result showed that the wave velocity imagings enable three-dimensional(3-D)visualization of the extent and spatial position of damage to the rock.A damaged zone has a low wave velocity and a zone where the low wave velocity is concentrated tends to correspond to a severely damaged *** parameters and wave velocity imagings depict the changes in activity of cracks during rock fracture from temporal and spatial perspectives,respectively:the activity of cracks is strengthened,and the rate of AE events increases during rock fracture;correspondingly,the low-velocity zones are gradually aggregated and their area gradually *** the wave velocity imagings,the damaged zones in rock were divided into an initially damaged zone,a progressively damaged zone,and a fractured *** rock fracture,the progressively damaged zone and the fractured zone both develop around the initially damaged zone,showing a typical localization effect of the *** capturing the spatial development trends of the progressively damaged zone and fractured zone in wave velocity imagings,the development of microfractures can be predicted,exerting practical significance for determining the position of the main fracture.

关键词： rock mechanics acoustic emission(AE) wave velocity imaging technology tempo-spatial evolution characteristics localization effect of damage

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Review of precipitation strengthening in ultrahigh-strength martensitic steel

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International Journal of Minerals,Metallurgy and Materials 2025年第2期32卷 256-269页

作者： Zhihao tian Chunlei Shang Chaolei Zhang Xiaoye Zhou Honghui Wu Shuize Wang Guilin Wu Junheng Gao Jiaming zhu Xinping Mao Institute for Carbon Neutrality University of Science and Technology BeijingBeijing 100083China Institute of Steel Sustainable Technology Liaoning Academy of MaterialsShenyang 110004China Department of Materials Science and Engineering Shenzhen MSU-BIT UniversityShenzhen 518172China Institute of Materials Intelligent Technology Liaoning Academy of MaterialsShenyang 110004China School of Civil Engineering Shandong UniversityJinan 250061China

Martensite is an important microstructure in ultrahigh-strength steels,and enhancing the strength of martensitic steels often involves the introduction of precipitated phases within the martensitic *** considerable research efforts devoted to this area,a systematic summary of these advancements is *** review focuses on the precipitates prevalent in ultrahigh-strength martensitic steel,primarily carbides(e.g.,MC,M_(2)C,and M_(3)C)and intermetallic compounds(e.g.,Ni Al,Ni_(3)X,and Fe_(2)Mo).The precipitation-strengthening effect of these precipitates on ultrahigh-strength martensitic steel is discussed from the aspects of heat treatment processes,microstructure of precipitate-strengthened martensite matrix,and mechanical ***,a perspective on the development of precipitation-strengthened martensitic steel is presented to contribute to the advancement of ultrahigh-strength martensitic *** review highlights significant findings,ongoing challenges,and opportunities in the development of ultrahigh-strength martensitic steel.

关键词： ultrahigh-strength martensitic steel precipitation strengthening mechanical property carbide intermetallic compound

花岗岩巷道岩爆过程红外辐射时空演化特征室内模拟试验研究

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岩土力学 2016年第3期37卷 711-718页

作者：田宝柱刘善军张艳博梁鹏刘祥鑫东北大学资源与土木工程学院辽宁沈阳110819 华北理工大学矿业工程学院河北唐山063009 河北省矿业开发与安全技术重点试验室河北唐山063009

通过含孔花岗岩的双向加载试验模拟巷道岩爆过程,以红外热像仪为观测手段,利用红外热像和最低红外辐射温度作为监测指标,研究岩爆过程中的红外辐射温度时空演化特征。结果表明:岩爆过程红外辐射时空演化特征与岩爆孕育、发生过程具有良... 详细信息

通过含孔花岗岩的双向加载试验模拟巷道岩爆过程,以红外热像仪为观测手段,利用红外热像和最低红外辐射温度作为监测指标,研究岩爆过程中的红外辐射温度时空演化特征。结果表明:岩爆过程红外辐射时空演化特征与岩爆孕育、发生过程具有良好的同步性。岩爆发生前红外热像上出现低温嵌套于高温条带间的温度场,其在空间上的延伸扩展则是岩爆孕育和发展过程在温度场中的反映,其出现的位置对应着岩爆发生的区域。最低红外辐射温度呈现出上升-短暂下降-上升-下降4个阶段性特征,岩爆发生前最低红外辐射温度出现3个突变转折点。试验结果对于巷道岩爆灾害的时空预测具有一定的理论意义。

关键词：巷道岩爆红外辐射温度场时空预测

基于相位差时延估计法的岩石声发射源定位研究

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岩土力学 2015年第2期36卷 381-386,522页

作者：黄晓红张艳博田宝柱刘祥鑫河北联合大学信息工程学院河北唐山063009 河北联合大学矿业工程学院河北唐山063009

针对岩石力学试验声发射时差定位算法中时延估计精度受诸多不确定因素的影响问题,提出全相位相位差法时延估计,通过小波分解与全相位频谱分析相结合求解相位差得到声发射信号的时延估计。利用小波分解找到不同传感器接收到的声发射信号... 详细信息

针对岩石力学试验声发射时差定位算法中时延估计精度受诸多不确定因素的影响问题,提出全相位相位差法时延估计,通过小波分解与全相位频谱分析相结合求解相位差得到声发射信号的时延估计。利用小波分解找到不同传感器接收到的声发射信号中的同一主频的子带信号;对这些同一主频的子带信号分别做全相位频谱分析,得到每个子带信号中间样点的相位,再根据相位差与时间差的关系求出声发射信号到达不同传感器之间的时间差;进而利用时差定位法反演声发射源,实现了声发射源更精确的定位。在花岗岩(50 mm×100 mm×50 mm)上进行断铅试验,选取10个测点,经声发射监测验证结果表明,该时延估计方法能有效地减小声发射源定位的误差,提高声发射源的定位精度,平均绝对误差比美国PCI-2型声发射仪器定位结果提高约3 mm,该方法为反演声发射源提供了一种有效途径。

关键词：声发射小波分解全相位频谱分析相位差源定位

基于多参量归一化的花岗岩巷道岩爆预测试验研究

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岩土力学 2016年第1期37卷 96-104页

作者：张艳博梁鹏刘祥鑫刘善军田宝柱华北理工大学矿业工程学院河北唐山063009 华北理工大学河北省矿业开发与安全技术重点实验室河北唐山063009 东北大学资源与土木工程学院辽宁沈阳110819

通过室内模拟花岗岩巷道岩爆试验,基于线性函数转换的归一化算法,将试验中获得的声发射场和红外温度场等多参量进行归一化处理,在分析其原始曲线特征的基础上,分析各参量在同一尺度下的演化特征,综合研究花岗岩巷道岩爆前兆。研究结果表... 详细信息

通过室内模拟花岗岩巷道岩爆试验,基于线性函数转换的归一化算法,将试验中获得的声发射场和红外温度场等多参量进行归一化处理,在分析其原始曲线特征的基础上,分析各参量在同一尺度下的演化特征,综合研究花岗岩巷道岩爆前兆。研究结果表明:声发射事件率、声发射能率、最高和最低红外辐射温度均适合作为岩爆灾害预测的主要参数。岩爆发生过程中各参量经过归一化处理,在统一尺度下能够快速、有效地识别岩爆发生的前兆。声发射能量加速释放是岩爆发生的早期预警信息;声发射平静期可作为岩爆灾害预警与采取控制措施的关键时期;最低辐射温度突降和最高辐射温度突增表明岩爆随时都有可能发生,这是岩爆发生的征兆。试验结果为岩爆灾害预测研究提供了新的方法和依据。

关键词：岩石力学巷道岩爆声发射红外辐射归一化分析预警

Half-lives for Alpha Radioactivity of Elements within the Unified Fission Model

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Half-lives for Alpha Radioactivity of Elements within the Un...