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隧道地热发育特征分析及地温预测

铁道科学与工程学报 2022年第5期19卷 1364-1373页

作者：刘志明中铁第四勘察设计院集团有限公司湖北武汉430063

隧道高地温热害是一种典型的不良地质现象,是铁路综合选线设计的难点,直接关系到隧道工程建设的安全性、技术性及经济性。通过地质调查、地质勘探、水化学分析、地温测试及理论计算等方法,研究三百山隧道地质条件、地热特征及地热发育... 详细信息

隧道高地温热害是一种典型的不良地质现象,是铁路综合选线设计的难点,直接关系到隧道工程建设的安全性、技术性及经济性。通过地质调查、地质勘探、水化学分析、地温测试及理论计算等方法,研究三百山隧道地质条件、地热特征及地热发育特征。研究结果表明:三百山隧道隧址区整体在三百山地区中生代以来火山盆地中穿越,受区域内多期次的构造运动以及岩浆活动、火山活动的共同影响,从下而上形成火山岩与火山沉积岩三元地质结构。深部岩浆热源距离地表相对较近,为地热水的形成提供了有利的热源条件。地热水以SO_(4)·HCO_(3)-K+Na型为主,HCO_(3)-K+Na和HCO_(3)·SO_(4)-K+Na型为次。地热水普遍含有氟、氯、镁、铀等多种微量元素。钻孔实测温泉温度32~78℃,总流量8.704 L/s,地温梯度在1.65~2.34℃/100 m内变化,平均值为2.06℃/100 m,总体上,地温随着深度的增大而递增。采用二氧化硅温标方法开展热储温度估算,利用热储温度和通过钻孔资料得到的地温资料,对区域地热的热储深度进行估算。计算结果显示:隧道洞身以Ⅰ级轻微热害为主,占隧道全长的52%;导热破碎带段存在Ⅱ级中等热害问题,占隧道全长的10%。通过对该隧道穿越的不同地层地温梯度分析,提出了其地温评价的单元划分和应对措施。研究成果可为类似工程地热异常区的勘察、设计及施工提供借鉴。

关键词：高地温隧道地热发育特征地温梯度地温预测

胶层厚度对碳纤维/双马来酰亚胺树脂复合材料平-折-平混合连接接头力学性能的影响

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复合材料学报 2020年第11期37卷 2825-2832页

作者：刘志明许昶北京交通大学机械与电子控制工程学院北京100044

以碳纤维/双马来酰亚胺(BMI)树脂复合材料平-折-平(FJF)连接接头为对象,通过试验对比分析了特定胶层厚度下碳纤维/BMI树脂复合材料FJF连接接头的静强度和疲劳性能,并探究了胶层厚度对碳纤维/BMI树脂复合材料FJF混合接头力学性能的影响... 详细信息

以碳纤维/双马来酰亚胺(BMI)树脂复合材料平-折-平(FJF)连接接头为对象,通过试验对比分析了特定胶层厚度下碳纤维/BMI树脂复合材料FJF连接接头的静强度和疲劳性能,并探究了胶层厚度对碳纤维/BMI树脂复合材料FJF混合接头力学性能的影响。利用背面应变技术对碳纤维/BMI树脂复合材料FJF混合接头搭接区端部胶层开裂进行监测。利用有限元软件ABAQUS对不同胶层厚度下碳纤维/BMI树脂复合材料FJF混合接头搭接区胶层应力分布进行了分析。结果表明,碳纤维/BMI树脂复合材料FJF混合接头的平均拉伸极限载荷、搭接区端部胶层开裂平均循环次数和平均疲劳寿命均随着胶层厚度在0.1~0.3 mm范围内增加而增大。不同胶层厚度的碳纤维/BMI树脂复合材料FJF混合接头均经历相同的失效阶段,即搭接区胶层端部开裂,胶层沿搭接区断裂扩展,最终靠近加载端孔边拉伸断裂,呈±45°断口。随着胶层厚度在0.1~0.3 mm范围的增加,搭接区端部胶层剥离应力、剪切应力及孔边胶层压缩应力均减小。在胶层厚度为0.1~0.3 mm范围内,剪应力是胶层破坏的控制因素。

关键词：碳纤维双马来酰亚胺(BMI)树脂复合材料平-折-平(FJF)混合连接接头胶层厚度静强度疲劳寿命胶层应力

CFRP平-折-平连接接头试验研究与数值模拟

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北京航空航天大学学报 2019年第11期45卷 2207-2216页

作者：许昶刘志明北京交通大学机械与电子控制工程学院

针对碳纤维增强复合材料(CFRP)平-折-平(FJF)连接接头强度和失效问题进行了试验研究和数值模拟。基于商用有限元软件ABAQUS,建立了FJF连接接头强度预测模型,通过与试验结果进行对比,探究了此类接头在拉伸载荷工况下的失效形式和承载能力... 详细信息

针对碳纤维增强复合材料(CFRP)平-折-平(FJF)连接接头强度和失效问题进行了试验研究和数值模拟。基于商用有限元软件ABAQUS,建立了FJF连接接头强度预测模型,通过与试验结果进行对比,探究了此类接头在拉伸载荷工况下的失效形式和承载能力,同时分析了搭接长度对接头强度和失效模式的影响。结果表明,利用模型预测的接头承载能力与试验结果的误差均小于3.5%,具有较好的精度。不同搭接长度下,FJF混合连接接头相较于胶接连接接头和机械连接接头强度均有提升。接头的强度随着搭接长度的增大而增大,搭接长度增大到一定程度后趋于平缓。搭接长度较小时,FJF混合连接接头失效表现为胶层沿搭接区的断裂和孔边挤压失效;搭接长度较大时,失效模式转变为层合板孔边拉伸断裂和胶层扩展至孔边的断裂。

关键词：碳纤维增强复合材料(CFRP) 平-折-平(FJF)连接接头有限元分析失效搭接长度

Fabricating AC/DC nanogenerators based on single ZnO nanowires by using a nanomanipulator in a scanning electron microscope

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Nanotechnology and Precision Engineering 2024年第2期7卷 25-31页

作者： Mei liu Mengfan He Aristide Djoulde Lingdi Kong Weilin Su Xin Bai Jinbo Chen Jinjun Rao zhiming Wang Shanghai Key Laboratory of Intelligent Manufacturing and Robotics School of Mechatronic Engineering and AutomationShanghai UniversityShanghai 200444China Guangdong Provincial Key Laboratory of Fuel Cell Technology School of Chemistry and Chemical EngineeringSouth China University of TechnologyGuangzhou 510641China

Single zinc oxide nanowires(ZnO NWs)are promising for nanogenerators because of their excellent semiconducting and piezoelectric properties,but characterizing the latter efficiently is *** reported here,an electrical breakdown strategy was used to construct single ZnO NWs with a specific *** the high operability of a nanomanipulator in a scanning electron microscope,ZnO-NW-based twoprobe and three-probe structures were constructed for fabricating AC/DC nanogenerators,*** a ZnO NW,an AC output of between−15.31 mV and 5.82 mV was achieved,while for a DC nanogenerator,an output of24.3 mV was ***,the three-probe structure’s output method was changed to verify the distribution of piezoelectric charges when a single ZnO NW is bent by a probe,and DC outputs of different amplitudes were *** study provides a low-cost,highly convenient,and operational method for studying the AC/DC output characteristics of single NWs,which is beneficial for the further development of nanogenerators.

关键词： Zinc oxide nanowire Piezoelectric properties Nanomanipulator SEM AC/DC nanogenerators

基于p38-MAPK通路探讨真武汤对心力衰竭心肌细胞结构重构-电重构的影响

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中华中医药学刊 2024年第4期42卷 130-137,I0032-I0034页

作者：王晓琳张倩田鑫陈智勇车驰徐丽丽刘智明陈智军王兴廖金花廖东华李林江西中医药大学研究生院江西南昌330000 修水县第一人民医院江西九江332000 江西中医药大学附属医院江西南昌330000 湖南省直中医医院湖南株洲412000 广州市增城区中医医院广东广州510000

目的真武汤在治疗慢性心力衰竭(Heart Failure,HF)过程中能够改善心律失常,旨在从p38-MAPK通路调控肥大心肌结构重构和电重构角度探讨真武汤治疗HF相关心律失常的作用机制。方法用AngⅡ诱导H9c2心肌细胞构建心肌肥大模型,实验共分6组:... 详细信息

目的真武汤在治疗慢性心力衰竭(Heart Failure,HF)过程中能够改善心律失常,旨在从p38-MAPK通路调控肥大心肌结构重构和电重构角度探讨真武汤治疗HF相关心律失常的作用机制。方法用AngⅡ诱导H9c2心肌细胞构建心肌肥大模型,实验共分6组:正常组(N),模型组(M)和真武汤低剂量组(D)、中剂量组(Z)、高剂量组(G)及抑制剂组(S)。正常组(N)用含有胎牛血清的高糖培养基培养,模型组(M)用含有10^(-6) mol/L浓度的血管紧张素Ⅱ(Angio-tensinⅡ,AngⅡ)培养基处理,低(D)、中(Z)、高(G)剂量组分别予2%、4%、8%体积分数的真武汤含药血清及AngⅡ培养基共同处理,抑制剂组(S)用含有p38MAPK抑制剂SB203580的培养基处理。处理48 h后,镜下观察各组心肌细胞的生长情况,通过酶联免疫吸附试验(Enzyme Linked Immunosorbent Assay,ELISA)法测心肌肥大标志物ANP的含量,用β-半乳糖苷酶染色法检测细胞衰老情况,采用Western blot法检测各组心肌细胞缝隙连接蛋白43(Connexin 43,Cx43)、p38丝裂原激活的蛋白激酶(p38 Mitogen-ctivated Protein Kinase,p38-MAPK)、基质金属蛋白酶2(Matrix Metalloproteinase 2,MMP2)、基金金属蛋白酶9(Matrix Metalloproteinase 9,MMP9)、金属蛋白酶组织抑制剂(Tissue Inhibitor of Metalloprotei-nase1,TIMP1)、p53蛋白的表达情况,采用实时荧光定量PCR(Quantitative Real-time PCR,qPCR)定量分析各组心肌细胞ANP、Cx43、p-Cx43、p38-MAPK、MMP2、MMP9、TIMP1的mRNA转录水平,免疫荧光检测Cx43蛋白的表达和分布情况。结果高剂量的真武汤能够减轻肥大心肌细胞的表面积,中低剂量无明显效果;真武汤能够降低心肌肥大标志物ANP及其mRNA的水平,且其效果与剂量呈正相关;真武汤能改善肥大细胞的衰老情况,效果与抑制剂相似;真武汤能够降低肥大心肌细胞Cx43、p38-MAPK、MMP2、MMP9、p53、p-Cx43蛋白的表达水平及Cx43、p38-MAPK、MMP2、MMP9的mRNA转录水平,且能够增加TIMP1的表达水平及其mRNA转录水平,效果与剂量有关;真武汤能够缓解肥大细胞表面Cx43的分布紊乱及减少该蛋白在细胞侧-侧移位分布。结论真武汤可能通过p38信号通路调控心肌肥大细胞的衰老和纤维化,调节细胞外基质的代谢平衡,维持心肌细胞上Cx43数量、磷酸化水平和分布定位,改善缝隙连接重构,实现对HF心肌结构重构和电重构的统一调节,达到治疗心力衰竭及相关心律失常的目的。

关键词：真武汤心力衰竭结构重构电重构 Cx43 p38-MAPK 缝隙连接基质金属蛋白酶

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Label-free breast cancer detection and classification by convolutional neural network-based on exosomes surface-enhanced raman scattering

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Journal of Innovative Optical Health Sciences 2023年第2期16卷 3-15页

作者： Xiao Ma Honglian Xiong Jinhao Guo zhiming liu Yaru Han Mingdi liu Yanxian Guo Mingyi Wang Huiqing Zhong Zhouyi Guo MOE Key Laboratory of Laser Life Science&Institute of Laser Life Science SATCM Third Grade Laboratory of Chinese Medicine and Photonics Technology&Guangdong Provincial Key Laboratory of Laser Life Science Guangzhou Key Laboratory of Spectral Analysis and Functional Probes College of Biophotonics South China Normal University Guangzhou 510631 P.R.China Department of Physics and Optoelectronic Engineering Foshan University Guangdong 528011P.R.China

Because the breast cancer is an important factor that threatens women's lives and health,early diagnosis is helpful for disease screening and a good *** are nanovesicles,secreted from cells and other body fluids,which can reflect the genetic and phenotypic status of parental *** with other methods for early diagnosis of cancer(such as circulating tumor cells(CTCs)and circulating tumor DNA),exosomes have a richer number and stronger biological stability,and have great potential in early ***,it has been proposed as promising biomarkers for diagnosis of early-stage ***,distinguishing different exosomes remain is a major biomedical *** this paper,we used predictive Convolutional Neural model to detect and analyze exosomes of normal and cancer cells with surface-enhanced Raman scattering(SERS).As a result,it can be seen from the SERS spectra that the exosomes of MCF-7,MDA-MB-231 and MCF-10A cells have similar peaks(939,1145 and 1380 cm^(-1)).Based on this dataset,the predictive model can achieve 95%*** with principal component analysis(PCA),the trained CNN can classify exosomes from different breast cancer cells with a superior *** results indicate that using the sensitivity of Raman detection and exosomes stable presence in the incubation period of cancer cells,SERS detection combined with CNN screening may be used for the early diagnosis of breast cancer in the future.

关键词： Exosomes surface-enhanced Raman scattering(SERS) breast cancer convolutional neural model label-free

Weavable thermoelectrics: advances, controversies, and future developments

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Materials Futures 2024年第1期3卷 63-94页

作者： Xiao-Lei Shi Shuai Sun Ting Wu Jian Tu zhiming Zhou Qingfeng liu Zhi-Gang Chen School of Chemistry and Physics ARC Research Hub in Zero-emission Power Generation for Carbon Neutralityand Centre for Materials ScienceQueensland University of TechnologyBrisbaneQueensland4000Australia State Key Laboratory of Materials-Oriented Chemical Engineering College of Chemical EngineeringNanjing Tech UniversityNanjing 211800People’s Republic of China School of Materials Science and Engineering Chongqing University of TechnologyChongqing 400054People’s Republic of China

Owing to the capability of the conversion between thermal energy and electrical energy and their advantages of light weight,compactness,noise-free operation,and precision reliability,wearable thermoelectrics show great potential for diverse *** them,weavable thermoelectrics,a subclass with inherent flexibility,wearability,and operability,find utility in harnessing waste heat from irregular heat *** the rapid advancements in this field,a timely review is essential to consolidate the progress and ***,we provide an overview of the state of weavable thermoelectric materials and devices in wearable smart textiles,encompassing mechanisms,materials,fabrications,device structures,and applications from recent advancements,challenges,and *** review can serve as a valuable reference for researchers in the field of flexible wearable thermoelectric materials and devices and their applications.

关键词： thermoelectric weaving materials structure device

A review of deep learningg methods for ligand based drug virtual screening

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Fundamental Research 2024年第4期4卷 715-737页

作者： Hongjie Wu Junkai liu Runhua Zhang Yaoyao Lu Guozeng Cui zhiming Cui Yijie Ding School of Electronic and Information Engineering Suzhou University of Science and TechnologySuzhou 215009China Yangtze Delta Region Institute(Quzhou) University of Electronic Science and Technology of ChinaQuzhou 32400China

Drug discovery is costly and time consuming,and modern drug discovery endeavors are progressively reliant on computational methodologies,aiming to mitigate temporal and financial expenditures associated with the *** particular,the time required for vaccine and drug discovery is prolonged during emergency situations such as the coronavirus 2019 ***,the performance of deep learning methods in drug virtual screening has been particularly *** has become a concern for researchers how to summarize the existing deep learning in drug virtual screening,select different models for different drug screening problems,exploit the advantages of deep learning models,and further improve the capability of deep learning in drug virtual *** review first introduces the basic concepts of drug virtual screening,common datasets,and data representation ***,large numbers of common deep learning methods for drug virtual screening are compared and *** addition,a dataset of different sizes is constructed independently to evaluate the performance of each deep learning model for the difficult problem of large-scale ligand virtual ***,the existing challenges and future directions in the field of virtual screening are presented.

关键词： Virtual screening Deeplearning Drug discovery Drug-targetinteraction Drug-target affinity

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西山矿区地质异常体瞬变电磁响应规律研究

矿业安全与环保 2022年第3期49卷 107-112,117页

作者：刘志明西山煤电(集团)有限责任公司地质处山西太原030300

通过数值模拟正演对西山矿区断层、陷落柱、灰岩含水层等典型的地质异常体模型进行了分析,得出地质异常体的瞬变电磁响应规律。研究结果表明:采用瞬变电磁法在井下巷道中探测断层时,断层面与掘进工作面端头激发源的距离对探测结果影响较... 详细信息

通过数值模拟正演对西山矿区断层、陷落柱、灰岩含水层等典型的地质异常体模型进行了分析,得出地质异常体的瞬变电磁响应规律。研究结果表明:采用瞬变电磁法在井下巷道中探测断层时,断层面与掘进工作面端头激发源的距离对探测结果影响较大;探测含水层时,探测效果受到激发源所在岩层的厚度、电性特征,以及含水层电性特征、含水层与源点的距离的影响,含水层与邻近岩层的电性差异越大,探测效果就越明显;探测含水陷落柱时,感应电流密度中心逐渐向陷落柱中心移动,最后重合;不含水陷落柱的瞬变电感应电流密度中心向远离陷落柱的方向移动,直到完全衰减。陷落柱与激发源所在岩层应当存在一定的电性差异,激发源所在岩层的电阻率值至少应为陷落柱岩性电阻率值的2倍。

关键词：瞬变电磁法响应曲线断层陷落柱地质异常体