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Nondestructive technique for identifying nuclides using neutron resonance transmission analysis at CSNS Back-n

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Nuclear Science and Techniques 2024年第1期35卷 178-187页

作者： Sheng-Da Tang Yong-Hao Chen Jing-Yu Tang Rui-Rui fan Qiang Li Gong Li dong Liu zheng-Yao Jin Xing-Zhu Cui Tian-Xiang Chen Yi-Wei Yang Rong Liu Han Yi Yang Li Zhen Yang Qi An Hao-fan Bai jiang-Bo Bai Jie Bao Ping Cao Qi-Ping Chen Zhen Chen Zeng-Qi Cui An-Chuan fan Chang-Qing Feng fan-Zhen Feng ke-Qing Gao Min-Hao Gu Chang-Cai Han Zi-Jie Han Guo-Zhu He Yong-cheng He Yang Hong Yi-Wei hu Han-Xiong huang Wei-hua Jia Hao-yu jiang Wei jiang zhi-jie jiang Ling Kang Bo Li Chao Li Jia-wen Li Xiao Li Jie Liu shu-Bin Liu Guang-Yuan Luan Chang-jun Ning Bin-Bin Qi Jie Ren zhi-zhou Ren Xi-Chao Ruan Zhao-hui Song Kang Sun zhi-Xin Tan Li-Jiao wang Peng-cheng wang Zhao-hui wang Zhong-Wei wen Xiao-Guang Wu Xuan Wu Li-Kun Xie Yong-Ji Yu Guo-hui Zhang Lin-Hao Zhang Mo-Han Zhang Qi-Wei Zhang Xian-Peng Zhang Yu-Liang Zhang Yue Zhang zhi-Yong Zhang Mao-Yuan Zhao Lu-Ping zhou zhi-Hao zhou ke-jun Zhu Sino-French Institute of Nuclear Engineering and Technology Sun Yat-sen UniversityZhuhai 519082China Institute of High-Energy Physics Chinese Academy of Sciences(CAS)Beijing 100049China Spallation Neutron Source Science center Dongguan 523803China School of Nuclear Science and Technology University of Science and Technology of ChinaHefei 230026China State key Laboratory of Particle Detection and Electronics University of Science and Technology of ChinaHefei 230026China State key Laboratory of Particle Detection and Electronics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China USTC Archaeometry Laboratory University of Science and Technology of ChinaHefei 230026China Institute of Nuclear Physics and Chemistry China Academy of Engineering PhysicsMianyang 621900China Department of Modern Physics University of Science and Technology of ChinaHefei 230026China State key Laboratory of Nuclear Physics and Technology School of PhysicsPeking UniversityBeijing 100871China key Laboratory of Nuclear Data China Institute of Atomic EnergyBeijing 102413China Northwest Institute of Nuclear Technology Xi’an 710024China University of Chinese Academy of Sciences Beijing 100049China

Nondestructive and noninvasive neutron assays are essential applications of neutron *** resonance transmission analysis(NRTA)is a powerful nondestructive method for investigating the elemental composition of an *** back-streaming neutron line(Back-n)is a newly built time-of-flight facility at the China Spallation Neutron Source(CSNS)that provides neutrons in the eV to 300 MeV range.A feasibility study of the NRTA method for nuclide identification was conducted at the CSNS Back-n via two test *** results demonstrate that it is feasible to identify different elements and isotopes in samples using the NRTA method at *** study reveals its potential future applications.

关键词： CSNS White neutron beam NRTA Nuclide identification Nondestructive method

Quantum chemical study on the catalytic mechanism of Na/K on NO-char heterogeneous reactions during the coal reburning process

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2009年第3期10卷 423-433页

作者： zheng-cheng wen zhi-hua wang jun-hu zhou ke-fa cen State key Laboratory of Clean Energy Utilization Zhejiang University Hangzhou 310027 China

Quantum chemical simulation was used to investigate the catalytic mechanism of Na/K on NO-char heterogeneous reactions during the coal reburning process. Both NO-char and NO-Na/K reactions were considered as three-step processes in this calculation. Based on geometry optimizations made using the UB3LYP/6-31G(d) method, the activation energies of NO-char and NO-Na/K reactions were calculated using the QCISD(T)/6-311G(d, p) method; Results showed that the activation energy of the NO-Na/K reaction (107.9/82.0 kJ/mol) was much lower than that of the NO-char reaction (245.1 kJ/mol). The reactions of NaO/KO and Na2O/K2O reduced by char were also studied, and their thermodynamics were calculated using the UB3LYP/6-31G(d) method; Results showed that both Na and K can be refreshed easily and rapidly by char at high temperature during the coal reburning process. Based on the calculations and analyses, the catalytic mechanism of Na/K on NO-char het-erogeneous reactions during the coal reburning process was clarified.

关键词：接触反应机制量子化学钠钾烧焦

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应变循环对新型川藏钢轨钢力学性能的影响

塑性工程学报 2023年第1期30卷 176-183页

作者：张旭王正云栾道成文科林蒋文淼凌俊华阴志铭胡志华西华大学材料科学与工程学院四川成都610039

根据矫直设备和实际生产情况设计了拉压应变循环试验并模拟不同的矫直工艺,探究应变循环对新型川藏钢轨钢力学性能的影响规律。结果表明,新型川藏钢轨钢为细片状珠光体组织,其强度和塑性均高于热处理U71Mn钢。应变循环后屈强比大于0.62... 详细信息

根据矫直设备和实际生产情况设计了拉压应变循环试验并模拟不同的矫直工艺,探究应变循环对新型川藏钢轨钢力学性能的影响规律。结果表明,新型川藏钢轨钢为细片状珠光体组织,其强度和塑性均高于热处理U71Mn钢。应变循环后屈强比大于0.62,达到了川藏铁路钢轨高屈强比的要求。应变次数为7时,屈服强度由987 MPa最低降至784 MPa,降幅为20.57%,屈强比由0.836降至0.670,最大降幅为19.86%。总应变为压应变且应变次数相同时,屈服强度随着应变量的增加而降低。应变循环会降低川藏钢轨钢的屈服强度,而抗拉强度基本不变,保持在1160~1190 MPa,最终导致屈强比降低。川藏钢轨钢具有循环软化特性,其屈服强度下降是包申格效应和循环软化等变形行为综合作用的结果。应变循环会使川藏钢轨钢的塑性出现一定程度的下降。

关键词：川藏钢轨钢矫直工艺应变循环力学性能

燃煤烟气环境下臭氧脱除苯的反应机理及动力学

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燃烧科学与技术 2008年第2期14卷 171-175页

作者：温正城周俊虎王智化杨卫娟刘建忠岑可法浙江大学能源清洁利用国家重点实验室杭州310027

在构建反应机理的基础上,通过敏感性分析及动力学计算,确定了关键基元反应,并深入分析影响苯脱除效果的主要因素.结果表明,NO_3生成量是影响苯脱除效果的关键因素;臭氧与苯反应并不是关键基元反应,对苯的脱除几乎没有影响;脱除率随温度... 详细信息

在构建反应机理的基础上,通过敏感性分析及动力学计算,确定了关键基元反应,并深入分析影响苯脱除效果的主要因素.结果表明,NO_3生成量是影响苯脱除效果的关键因素;臭氧与苯反应并不是关键基元反应,对苯的脱除几乎没有影响;脱除率随温度的升高和臭氧加入量的增大而增加;苯初始体积分数越低,脱除率越高,氧量的变化不会对脱除效果产生影响;在典型锅炉排烟气氛下,以体积分数为0.1×10^(-6)的苯为例,要有效地控制苯排放,O_3/NO物质的量的比R≥1.6,停留时间以1 s为宜,温度以250℃为宜,苯脱除效率可达65%以上.

关键词：苯臭氧机理动力学烟气脱除

燃用准东煤电站锅炉灰沉积形成过程中的矿物演变与热力学模拟

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燃料化学学报 2015年第10期43卷 1182-1187页

作者：杨光张彦威寇希文周志军王智化周俊虎岑可法浙江大学能源清洁利用国家重点实验室热能工程研究所浙江杭州310027

选取某350 MW电站锅炉燃烧准东混煤,得到锅炉换热面灰沉积样品,主要借助XRD等手段分析了各处灰沉积物矿物形成过程,并通过factsage 5.2从热力学平衡角度给出理论支持。结果表明,高温区域换热面灰沉积形成主要由于钠长石、钙长石等矿物... 详细信息

选取某350 MW电站锅炉燃烧准东混煤,得到锅炉换热面灰沉积样品,主要借助XRD等手段分析了各处灰沉积物矿物形成过程,并通过factsage 5.2从热力学平衡角度给出理论支持。结果表明,高温区域换热面灰沉积形成主要由于钠长石、钙长石等矿物在高温下经复杂变化形成低温共熔物,黏附烟气中固体颗粒而形成坚硬块状沉积物;低温区域换热面主要由于烟气中硫的沉积而发生酸性腐蚀,沉积物主要晶相为硫酸钙;省煤器换热面主要由于烟气携带的非晶态物形成松散型积灰。factsage计算结果与实际灰样组成大致吻合,能够帮助分析灰沉积物中矿物质的转化规律。

关键词：准东煤灰沉积矿物演变热力学模拟

The first data release(DR1) of the LAMOST regular survey

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Research in Astronomy and Astrophysics 2015年第8期15卷 1095-1124页

作者： A-Li Luo Yong-Heng Zhao Gang Zhao Li-Cai Deng Xiao-Wei Liu Yi-Peng Jing Gang wang Hao-Tong Zhang Jian-Rong Shi Xiang-Qun Cui Yao-Quan Chu Guo-Ping Li Zhong-Rui Bai Yue Wu Yan Cai shu-Yun Cao Zi-huang Cao Jeffrey L.Carlin Hai-Yuan Chen Jian-jun Chen Kun-Xin Chen Li Chen Xue-Lei Chen Xiao-Yan Chen Ying Chen Norbert Christlieb Jia-Ru Chu Chen-zhou Cui Yi-Qiao dong Bing Du dong-Wei fan Lei Feng Jian-Ning Fu Peng Gao Xue-Fei Gong Bo-Zhong Gu Yan-Xin Guo Zhan-wen Han Bo-Liang He Jin-Liang Hou Yong-hui Hou wen Hou Hong-Zhuan hu Ning-Sheng hu Zhong-wen hu zhi-Ying huo Lei Jia fang-hua jiang Xiang jiang zhi-Bo jiang Ge Jin Xiao Kong Xu Kong Ya-Juan Lei Ai-hua Li Chang-hua Li Guang-Wei Li Hai-Ning Li Jian Li Qi Li shuang Li Sha-Sha Li Xin-Nan Li Yan Li Yin-Bi Li Ye-Ping Li Yuan Liang Chien-cheng Lin Chao Liu Gen-Rong Liu Guan-Qun Liu zhi-Gang Liu wen-zhi Lu Yu Luo Yin-Dun Mao Heidi Newberg Ji-jun Ni Zhao-Xiang Qi Yong-jun Qi Shi-Yin Shen huo-Ming Shi Jing Song Yi-Han Song Ding-Qiang Su Hong-jun Su zheng-Hong Tang Qing-Sheng Tao Yuan Tian Dan wang Da-Qi wang Feng-Fei wang Guo-Min wang Hai wang Hong-Chi wang Jian wang Jia-Ning wang Jian-Ling wang Jian-Ping wang jun-Xian wang Lei wang Meng-Xin wang Shou-Guan wang shu-Qing wang Xia wang Ya-Nan wang You wang Yue-Fei wang You-Fen wang Peng Wei Ming-zhi Wei Hong Wu ke-Fei Wu Xue-Bing Wu Yu-Zhong Wu Xiao-zheng Xing Ling-Zhe Xu Xin-Qi Xu Yan Xu Tai-Sheng Yan De-hua Yang Hai-Feng Yang hui-Qin Yang Ming Yang zheng-Qiu Yao Yong Yu hui Yuan Hai-Bo Yuan Hai-Long Yuan Wei-Min Yuan Chao Zhai En-Peng Zhang hua-Wei Zhang Jian-Nan Zhang Li-Pin Zhang Wei Zhang Yong Zhang Yan-Xia Zhang zheng-Chao Zhang Ming Zhao fang zhou Xu zhou Jie Zhu Yong-Tian Zhu Si-cheng Zou fang Zuo National Astronomical Observatories Chinese Academy of Sciences Department of Astronomy Peking University Shanghai Astronomical Observatory Chinese Academy of Sciences Nanjing Institute of Astronomical Optics & Technology National Astronomical ObservatoriesChinese Academy of Sciences University of Science and Technology of China Department of Physics Applied Physics and AstronomyRensselaer Polytechnic InstituteTroyNY 12180USA Department of Physics and Astronomy Earlham CollegeRichmondIN 47374USA Universitt Heidelberg Zentrum für AstronomieLandessternwarteKnigstuhl 1269117 HeidelbergGermany Department of Astronomy Beijing Normal University Yunnan Observatories Chinese Academy of Sciences Purple Mountain Observatory Chinese Academy of Sciences

The Large sky Area Multi-Object Fiber Spectroscopic Telescope（LAMOST） general survey is a spectroscopic survey that will eventually cover approximately half of the celestial sphere and collect 10 million spectra of stars, galaxies and QSOs. Objects in both the pilot survey and the first year regular survey are included in the LAMOST DR1. The pilot survey started in October 2011 and ended in june 2012, and the data have been released to the public as the LAMOST Pilot Data Release in August 2012. The regular survey started in September 2012, and completed its first year of operation in june 2013. The LAMOST DR1 includes a total of 1202 plates containing 2 955 336 spectra, of which 1 790 879 spectra have observed signalto-noise ratio（SNR） ≥ 10. All data with SNR ≥ 2 are formally released as LAMOST DR1 under the LAMOST data policy. This data release contains a total of 2 204 696 spectra, of which 1 944 329 are stellar spectra, 12 082 are galaxy spectra and 5017 are quasars. The DR1 not only includes spectra, but also three stellar catalogs with measured parameters： late A,FGK-type stars with high quality spectra（1 061 918 entries）, A-type stars（100 073 entries）, and M-type stars（121 522 entries）. This paper introduces the survey design, the observational and instrumental limitations, data reduction and analysis, and some caveats. A description of the FITS structure of spectral files and parameter catalogs is also provided.

关键词： techniques: spectroscopic survey—data release—catalog

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硼颗粒点火燃烧模型研究进展

固体火箭技术 2012年第3期35卷 361-366,371页

作者：敖文杨卫娟韩志江刘建忠周俊虎岑可法浙江大学能源清洁利用国家重点实验室杭州310027

硼作为固冲发动机推进剂高能组分具有巨大优势,但由于表面氧化层的覆盖对燃烧的抑制作用,导致硼颗粒的燃烧过程十分复杂。文章描述了硼颗粒燃烧的基本现象和过程,阐述了硼颗粒两阶段燃烧的现象本质。综述了以King模型和L-W模型为代表的... 详细信息

硼作为固冲发动机推进剂高能组分具有巨大优势,但由于表面氧化层的覆盖对燃烧的抑制作用,导致硼颗粒的燃烧过程十分复杂。文章描述了硼颗粒燃烧的基本现象和过程,阐述了硼颗粒两阶段燃烧的现象本质。综述了以King模型和L-W模型为代表的半经验模型的研究进展,分析比较了两者建模机理的不同之处。详细阐述了以L-W模型为代表的动力学模型的建模机理和内容。介绍了化学机理模型的研究现状和基本原理,并分析比较了半经验模型与化学机理模型的优缺点。

关键词：硼点火燃烧模型

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聚乙烯在连续给料外热式回转窑内的热解研究

中国电机工程学报 2006年第16期26卷 126-132页

作者：沈祥智严建华池涌白丛生温俊明倪明江岑可法能源清洁利用国家重点实验室(浙江大学) 能源清洁利用国家重点实验室(浙江大学) 浙江省杭州市310027

在连续给料外热式回转窑试验台上,以聚乙烯为试验物料进行了热解产气特性、质量平衡以及能量净收益的试验研究。产气特性试验结果表明:温度一定、延长停留时间,或者停留时间一定、提高温度都会促进热解进行,不仅可以提高热解的产气份额... 详细信息

在连续给料外热式回转窑试验台上,以聚乙烯为试验物料进行了热解产气特性、质量平衡以及能量净收益的试验研究。产气特性试验结果表明:温度一定、延长停留时间,或者停留时间一定、提高温度都会促进热解进行,不仅可以提高热解的产气份额,而且还可以提高热解气体的热值。在选定热解停留时间为31.58min、温度为500℃和600℃的2种工况下进行了质量平衡试验,并对此进行了热解前后总热值对比和热解能量的净收益率分析,结果表明:500℃的热解吸热量是其热解产物总热值的1.18%;600℃的热解吸热量是其热解产物总热值的6.34%。与热解温度为600℃时相比,500℃的热解吸热量仅是600℃的18.39%,但是,500℃的热解效率却是600℃的38.23%;500℃热解能量的净收益率是600℃的1.06倍。如果对废弃聚乙烯采用热解-焚烧技术处理,那么,其中热解部分选择500℃作为热解温度是合理可行的。

关键词：热能动力工程热解聚乙烯外热式回转窑连续给料

The DIRECT consortium and the REST-meta-MDD project:towards neuroimaging biomarkers of major depressive disorder

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Psychoradiology 2022年第1期2卷 32-42页

作者： Xiao Chen Bin Lu hui-Xian Li Xue-Ying Li Yu-Wei wang Francisco Xavier Castellanos Li-Ping Cao Ning-Xuan Chen Wei Chen Yu-Qi cheng Shi-Xian Cui Zhao-Yu Deng Yi-Ru fang Qi-Yong Gong wen-Bin Guo zheng-Jia-Yi hu Li Kuang Bao-Juan Li Le Li Tao Li Tao Lian Yi-fan Liao Yan-Song Liu Zhe-Ning Liu Jian-Ping Lu Qing-hua Luo hua-Qing Meng Dai-hui Peng jiang Qiu Yue-Di Shen Tian-Mei Si Yan-Qing Tang Chuan-Yue wang Fei wang hua-Ning wang Kai wang Xiang wang Ying wang Zi-Han wang Xiao-Ping Wu Chun-Ming Xie Guang-Rong Xie Peng Xie Xiu-Feng Xu Hong Yang Jian Yang shu-Qiao Yao Yong-Qiang Yu Yong-Gui Yuan ke-Rang Zhang Wei Zhang zhi-jun Zhang jun-Juan Zhu Xi-Nian Zuo Jing-Ping Zhao Yu-Feng Zang the DIRECT consortium Chao-Gan Yan CAS key Laboratory of Behavioral Science Institute of PsychologyChinese Academy of SciencesBeijing 100101China International Big-Data center for Depression Research Chinese Academy of SciencesBeijing 100101China Magnetic Resonance Imaging Research center Institute of PsychologyChinese Academy of SciencesBeijing 100101China Department of Psychology University of Chinese Academy of SciencesBeijing 100049China Sino-Danish College University of Chinese Academy of SciencesBeijing 101408China Sino-Danish center for Education and Research Graduate University of Chinese Academy of SciencesBeijing 101408China Department of Child and Adolescent Psychiatry NYU Grossman School of MedicineNew YorkNY 10016USA Nathan Kline Institute for Psychiatric Research OrangeburgNew YorkNY 10962USA 9Affiliated Brain Hospital of Guangzhou Medical UniversityGuangzhou 510370China Capital Normal University Beijing 100089China Department of Psychiatry Sir Run Run Shaw HospitalZhejiang University School of MedicineHangzhou 310020ZhejiangChina Department of Psychiatry First Affiliated Hospital of Kunming Medical UniversityKunmingYunnan 650032China Shanghai Mental Health center Shanghai Jiao Tong University School of MedicineShanghai 200030China huaxi MR Research center(HMRRC) Department of RadiologyWest China Hospital of Sichuan UniversityChengduSichuan 610044China Research Unit of Psychoradiology Chinese Academy of Medical SciencesChengduSichuan 610052China Department of Psychiatry and National Clinical Research Center for Mental DisordersThe Second Xiangya Hospital of Central South UniversityChangsha 410011HunanChina Department of Psychiatry The First Affiliated Hospital of Chongqing Medical UniversityChongqing 400042China Xijing Hospital of Air Force Military Medical University Xi’anShaanxi 710032China center for Cognitive Science of Language Beijing Language and Culture UniversityBeijing 100083China Affiliated Mental Health center&Hangzhou Seventh People’s Hospital Zhejiang University School of

Despite a growing neuroimaging literature on the pathophysiology of major depressive disorder(MDD),repro-ducible findings are lacking,probably reflecting mostly small sample sizes and heterogeneity in analytic *** address these issues,the Depression Imaging REsearch ConsorTium(DIRECT)was *** REST-meta-MDD project,pooling 2428 functional brain images processed with a standardized pipeline across all participating sites,has been the first effort from *** this review,we present an overview of the moti-vations,rationale,and principal findings of the studies so far from the REST-meta-MDD *** from the first round of analyses of the pooled repository have included alterations in functional connectivity within the default mode network,in whole-brain topological properties,in dynamic features,and in functional *** well-powered exploratory observations have also provided the basis for future longitudinal hypothesis-driven *** these fruitful explorations,DIRECT has proceeded to its second stage of data sharing that seeks to examine ethnicity in brain alterations in MDD by extending the exclusive Chinese original sample to other ethnic groups through international collaborations.A state-of-the-art,surface-based preprocessing pipeline has also been introduced to improve *** images from patients with bipolar disorder and schizophrenia will be included to identify shared and unique abnormalities across diag-nosis *** addition,large-scale longitudinal studies targeting brain network alterations following antidepressant treatment,aggregation of diffusion tensor images,and the development of functional magnetic resonance imaging-guided neuromodulation approaches are *** these endeavours,we hope to accelerate the translation of functional neuroimaging findings to clinical use,such as evaluating longitudinal effects of antidepressant medications and developing individualized

关键词： major depressive disorder DIRECT R-fMRI database neuroimaging