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基于蒙特卡罗法的黄土滑坡概率与可靠度分析——以榆林市朝阳路滑坡为例

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灾害学 2025年第1期40卷 74-79页

作者：黄立新李成郭伟龙陕西工程勘察研究院有限公司陕西西安710068 陕西省地质环境监测总站(陕西省地质灾害中心) 陕西西安710054

基于计算滑坡概率的蒙特卡罗法,该文以黄土高原地区的榆林市朝阳路滑坡为研究对象,通过野外调查、室内试验和综合研究,分析了黄土黏聚力和内摩擦角等多种条件下的安全系数分布、失稳概率和可靠度,探讨了参数相关性对于滑坡可靠度的影响... 详细信息

基于计算滑坡概率的蒙特卡罗法,该文以黄土高原地区的榆林市朝阳路滑坡为研究对象,通过野外调查、室内试验和综合研究,分析了黄土黏聚力和内摩擦角等多种条件下的安全系数分布、失稳概率和可靠度,探讨了参数相关性对于滑坡可靠度的影响,并进行了对黏聚力和内摩擦角的敏感性分析。研究发现,该滑坡为黄土高原区典型降雨诱发型,当同时考虑黏聚力和内摩擦角的变化时,滑坡可靠度指数为1.35,失稳概率为8.83%,安全系数介于0.794~1.305;与同单一变量情况下相比,多个变量分析计算的可靠性指数显著减小,标准偏差明显增大,滑坡失稳概率升高;不同参数相关性条件下,滑坡失稳概率、可靠度和安全系数的标准偏差不同;滑坡的稳定性系数对于不同土性参数的敏感性存在差异。该文基于研究结果提出了相应的防治措施,为黄土高原地区滑坡防治和危险性评估提供科学依据。

关键词：黄土滑坡蒙特卡罗失稳概率可靠度相关性

第一性原理对M@B_(12)N_(12)(M=Sc-Zn)团簇结构和性质的研究

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原子与分子物理学报 2025年第4期42卷 93-99页

作者：张颂程露吴学科凯里学院理学院凯里556011

利用基于密度泛函理论的第一性原理对M@B_(12)N_(12)(M=Sc-Zn)团簇的几何、电子结构,电偶极性和红外吸收光谱进行详细的研究.结果显示:当B_(12)N_(12)团簇内嵌过渡金属原子后,虽然结构稳定性稍稍降低,但其化学活性得到提高,摩尔体积明... 详细信息

利用基于密度泛函理论的第一性原理对M@B_(12)N_(12)(M=Sc-Zn)团簇的几何、电子结构,电偶极性和红外吸收光谱进行详细的研究.结果显示:当B_(12)N_(12)团簇内嵌过渡金属原子后,虽然结构稳定性稍稍降低,但其化学活性得到提高,摩尔体积明显增大.过渡金属原子与B_(12)N_(12)结合的过程中,除Cu和B原子外,剩余金属与N原子的Mulliken电荷出现负值.另外,金属原子的加入,不仅增加电偶极矩和极化率的值,还促使其红外吸收光谱发生红移.

关键词：团簇结构性质第一性原理

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“冷盆”缫丝技术与阆中源考

丝绸 2025年第1期62卷 94-100页

作者：刘凯旋陈祥平程明四川省丝绸科学研究院成都610031 四川省丝绸协会成都610031

四川省阆中市出土的“缫丝图铜摆件”被专家鉴定为宋代铸造,其展现的煮、缫分离的“冷盆”缫丝技术,乃现代缫丝工业技术之雏形,对于蚕丝品质的提升具有里程碑的意义。而现已出版的中国丝绸史书籍中将“冷盆”缫丝技术划归元代加以描述... 详细信息

四川省阆中市出土的“缫丝图铜摆件”被专家鉴定为宋代铸造,其展现的煮、缫分离的“冷盆”缫丝技术,乃现代缫丝工业技术之雏形,对于蚕丝品质的提升具有里程碑的意义。而现已出版的中国丝绸史书籍中将“冷盆”缫丝技术划归元代加以描述。文章对宋代前后缫车及缫丝工艺技术演变过程进行历史追溯和研究,对阆中从宋代至民国与“冷盆”缫丝相关的历史脉络进行梳理,以探究“冷盆”缫丝技术的渊源。研究表明,“冷盆”缫丝技术源于宋代,而“缫丝图铜摆件”所呈现的煮、缫分离的缫丝生产场景,与现有文献典籍及图考中所载“冷盆”缫丝高度契合,且三者互为映射,从而印证了阆中(古阆州)为宋代“冷盆”缫丝技术源流地。

关键词：宋代缫丝图铜摆件缫丝技术阆中冷盆缫丝源流地

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A low-error calibration function for an electrostatic gas-solid flow meter obtained via machine learning techniques with experimental data

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Energy and Built Environment 2020年第2期1卷 224-232页

作者： Andrew j.Kidd jianyong Zhang Ruixue cheng School of Computing Engineering and Digital TechnologiesTeesside UniversityMiddlesbroughUnited Kingdom

In this paper,modeling and machine learning with experimental data and a novel calibration function for a gas-solid flow sensor fusion are *** fusion is the use of software that intelligently combines data from multiple sensors in order to improve overall system *** technique can be applied to measurement of mass flow rate of solids in a pipeline with non-intrusive electrostatic *** fusion from multiple heterogeneous/homogenous sensors can overcome the limitations of an individual sensor and measured *** is shown that the output voltage of a ring-shaped electrode is predominantly a function of solids mass flow rate and velocity for a flow of bulk solids in a pipeline,when particle size,properties and ambient conditions remain *** incorporating solids flow velocity in a proposed mathematical model(obtained via machine learning),meter output voltage could be predicted with superior accuracy,for wide range of different flow pa-rameters from numerous experiments with a pneumatic conveying *** the model yields a new calibration function which,when deployed in signal processing software,enables accurate mass flow measure-ment with velocity *** described method also de-necessitates determination of air solids ratio or solids volumetric concentration,thereby enabling simplification of the overall measurement system whilst yielding higher accuracy than calibration methods from previous *** flow measurement facilitates enhanced monitoring and controllability of blast furnaces,power stations,chemical reactors,process plants *** there are bulk solids flows in *** of such highly materially consumptive and energy intensive processes can yield significant reductions in waste and emissions(CO 2,NOx)and increased efficiencies in global production of energy and materials.

关键词： Sensor fusion Machine learning Electrostatic flow measurement Gas-solid flow Pneumatic conveying Multiple non-linear regression

A prediction method for the performance of a low-recoil gun with front nozzle

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Defence Technology（防务技术） 2019年第5期15卷 703-712页

作者： cheng cheng Chong Wang Xiaobing Zhang School of Energy and Power Engineering Nanjing University of Science and Technology

One of the greatest challenges in the design of a gun is to balance muzzle velocity and recoil,especially for guns on aircrafts and deployable *** resolve the conflict between gun power and recoil force,a concept of rarefaction wave gun(RAVEN)was proposed to significantly reduce the weapon recoil and the heat in barrel,while minimally reducing the muzzle *** main principle of RAVEN is that the rarefaction wave will not reach the projectile base until the muzzle by delaying the venting time of an expansion nozzle at the *** on the RAVEN principle,the purpose of this paper is to provide an engineering method for predicting the performance of a low-recoil gun with front ***,a two-dimensional two-phase flow model of interior ballistic during the RAVEN firing cycle was *** simulation results were compared with the published data to validate the reliability and ***,the effects of the vent opening times and locations were investigated to determine the influence rules on the performance of the RAVEN with front *** according to the results above,simple nonlinear fitting formulas were provided to explain how the muzzle velocity and the recoil force change with the vent opening time and ***,a better vent venting opening time corresponding to the vent location was *** findings should make an important contribution to the field of engineering applications of the RAVEN.

关键词： Interior ballistic Low recoil Rarefaction wave Prediction method Two-dimensional

Understanding super-enhancers

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Science China(Life Sciences) 2016年第3期59卷 277-280页

作者： Hao cheng Xiaoyang Dou jing-Dong j.Han Key Laboratory of Computational Biology CAS Center for Excellence in Molecular Cell Science Collaborative Innovation Center for Genetics and Developmental Biology Chinese Academy of Sciences-Max Planck Partner Institute for Computational Biology Shanghai Institutes for Biological Sciences Chinese Academy of Sciences

Super-enhancers are defined as cluster of enhancers with dense TF binding, which can activate proximal cell-identity gene expression. Here we review the identification, func- tional significance of super-enhancers, and their relation- ships with cancer. With the current intense interests in su- per-enhancers, more super-enhancers will be defined and studied in different cell types and tissues and in different developmental and biological contexts to reveal molecular mechanisms of their functions.

关键词：超促进剂基因表达分子机制生物环境定义细胞激活

Cloning and sequence analysis of human genomic DNA of augmenter of liver regeneration

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World journal of Gastroenterology 2000年第2期6卷 275-277页

作者： cheng j Zhong YW Liu Y Dong j Yang jZ Chen jM 302 Hosp PLA Gene Therapy Res Ctr Inst Infect Dis Beijing 100039 Peoples R China

INTRODUCTIONThe liver is one of the organs,which have potentialregenerative capability in mammalian *** study of the canine model indicated that theliver could regenerate to original size after 70%hepatectomy in only ... 详细信息

关键词： augmenter liver regeneration cloning genomic DNA intron exon

Machine learning and numerical investigation on drag reduction of underwater serial multi-projectiles

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Defence Technology（防务技术） 2022年第2期18卷 229-237页

作者： Xi Huang cheng cheng Xiao-bing Zhang School of Energy and Power Engineering Nanjing University of Science and TechnologyNanjing210094China

To increase launching frequency and decrease drag force of underwater projectiles,a serial multiprojectiles structure based on the principle of supercavitation is proposed in this *** drag reduction and supercavitation characteristics of the underwater serial multi-projectiles are studied with computational fluid dynamics(CFD)and machine ***,the numerical simulation model for the underwater supercavitating projectile is established and verified by experimental *** the evolution of the supercavitation for the serial multi-projectiles is *** addition,the effects of different cavitation numbers and different distances between projectiles are investigated to demonstrate the supercavitation and drag reduction ***,the artificial neural network(ANN)model is established to predict the evolution of drag coefficient based on the data obtained by CFD,and the results predicted by ANN are in good agreement with the data obtained by *** finding provides a useful guidance for the research of drag reduction characteristics of underwater serial projectiles.

关键词： Drag reduction Serial multi-projectiles Machine learning Artificial neural network(ANN) Numerical simulation

知识产权领域市场支配地位推定规则的适用与反思——以标准必要专利为例

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科技与法律（中英文） 2025年第1期 113-124页

作者：陈绍伟武汉大学法学院武汉430000

市场支配地位的认定,是反垄断合理分析过程中一项基础且复杂的认识活动。为增强规范的可操作性和可执行性,并实现对经营者的有效监管,反垄断法基于市场份额,推定市场支配地位的存在。在知识产权领域,市场支配地位推定规则的适用需要把... 详细信息

市场支配地位的认定,是反垄断合理分析过程中一项基础且复杂的认识活动。为增强规范的可操作性和可执行性,并实现对经营者的有效监管,反垄断法基于市场份额,推定市场支配地位的存在。在知识产权领域,市场支配地位推定规则的适用需要把握一定的限度,科学分析市场份额和市场进入障碍,以平衡市场竞争与创新保护。具体到标准必要专利权利人的市场支配地位推定而言,“必要性”推定方法尚不可替代市场份额的推定。因而,标准必要专利权利人的市场支配地位推定仍须回归市场份额规则,同时考虑标准必要专利的特殊性和相关市场竞争环境,辅之以市场进入障碍、买方抵消力量等因素。

关键词：市场支配地位知识产权推定规则标准必要专利