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Simulation of Underground Reservoir Stability of Pumped Storage Power Station Based on Fluid-Structure Coupling

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Computer Modeling in Engineering & Sciences 2024年第5期139卷 1381-1399页

作者： peng qiao Shuangshuang Lan Hongbiao Gu Zhengtan Mao Faculty of Architecture Civil and Transportation EngineeringBeijing University of TechnologyBeijing100020China College of Transportation Engineering Nanjing Tech UniversityNanjing210000China

Based on global initiatives such as the clean energy transition and the development of renewable energy,the pumped storage power station has become a new and significant way of energy storage and regulation,and its construction environment is more complex than that of a traditional *** particular,the stability of the rock strata in the underground reservoirs is affected by the seepage pressure and rock stress,which presents some challenges in achieving engineering safety and *** the advantages of the numerical simulation method in dealing deal with nonlinear problems in engineering stability,in this study,the stability of the underground reservoir of the Shidangshan(SDS)pumped storage power station was numerically calculated and quantitatively analyzed based on fluid-structure coupling theory,providing an important reference for the safe operation and management of the underground ***,using the COMSOL software,a suitablemechanicalmodel was created in accordance with the geological structure and project characteristics of the underground ***,the characteristics of the stress field,displacement field,and seepage field after excavation of the underground reservoir were simulated in light of the seepage effect of groundwater on the nearby rock of the underground ***,based on the construction specifications and Molar-Coulomb criterion,a thorough evaluation of the stability of the underground reservoir was performed through simulation of the filling and discharge conditions and anti-seepage strengthening *** findings demonstrate that the numerical simulation results have a certain level of reliability and are in accordance with the stress measured in the project *** underground reservoir excavation resulted in a maximum displacement value of the rock mass around the caverns of 3.56 mm in a typical section,and the safety coefficient of the parts,as determined using the Molar-Coulomb criterion,was highe

关键词： Underground reservoir fluid-structure coupling numerical simulation pumped storage power station filling and discharge

Emerging mechanisms and implications of c GAS-STING signaling in cancer immunotherapy strategies

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Cancer Biology & Medicine 2024年第1期21卷 45-64页

作者： Jiawen Zhang Sihui Yu qiao peng Ping Wang Lan Fang Tongji University Cancer Center Shanghai Tenth People’s HospitalSchool of MedicineTongji UniversityShanghai 200072China Reproductive Medicine Center Department of Obstetrics and GynecologyShanghai General HospitalShanghai Jiao Tong University School of MedicineShanghai 201620China Department of Obstetrics and Gynecology Zhongshan HospitalFudan UniversityShanghai 200032China

The intricate interplay between the human immune system and cancer development underscores the central role of immunotherapy in cancer *** this landscape,the innate immune system,a critical sentinel protecting against tumor incursion,is a key *** cyclic GMP-AMP synthase(c GAS)and stimulator of interferon genes(STING)pathway has been found to be a linchpin of innate immunity:activation of this signaling pathway orchestrates the production of type I interferon(IFN-α/β),thus fostering the maturation,differentiation,and mobilization of immune effectors in the tumor ***,STING activation facilitates the release and presentation of tumor antigens,and therefore is an attractive target for cancer *** strategies to activate the STING pathway,including use of pharmacological agonists,have made substantial advancements,particularly when combined with immune checkpoint *** approaches have shown promise in preclinical and clinical settings,by enhancing patient survival *** review describes the evolving understanding of the c GAS-STING pathway's involvement in tumor biology and ***,this review explores classical and non-classical STING agonists,providing insights into their mechanisms of action and potential for optimizing immunotherapy *** challenges and complexities,the c GAS-STING pathway,a promising avenue for enhancing cancer treatment efficacy,has the potential to revolutionize patient outcomes.

关键词： cGAS-STING pathway type I interferon cyclic dinucleotide STING agonist cancer immunotherapy

Explainable Neural Network for Sensitivity Analysis of Lithium-ion Battery Smart

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IEEE/CAA Journal of Automatica Sinica 2024年第9期11卷 1944-1953页

作者： Kailong Liu qiao peng Yuhang Liu Naxin Cui Chenghui Zhang School of Control Science and Engineering Shandong UniversityJinan 250061China Information Technology Analytics&Operations groupQueen’s University BelfastBelfast BT71NNUK

Battery production is crucial for determining the quality of electrode,which in turn affects the manufactured battery *** battery production is complicated with strongly coupled intermediate and control parameters,an efficient solution that can perform a reliable sensitivity analysis of the production terms of interest and forecast key battery properties in the early production phase is urgently *** paper performs detailed sensitivity analysis of key production terms on determining the properties of manufactured battery electrode via advanced data-driven *** be specific,an explainable neural network named generalized additive model with structured interaction(GAM-SI)is designed to predict two key battery properties,including electrode mass loading and porosity,while the effects of four early production terms on manufactured batteries are explained and *** experimental results reveal that the proposed method is able to accurately predict battery electrode properties in the mixing and coating *** addition,the importance ratio ranking,global interpretation and local interpretation of both the main effects and pairwise interactions can be effectively visualized by the designed neural *** to the merits of interpretability,the proposed GAM-SI can help engineers gain important insights for understanding complicated production behavior,further benefitting smart battery production.

关键词： Battery management battery manufacturing data science explainable artificial intelligence sensitivity analysis

Explainable Neural Network for Sensitivity Analysis of Lithium-ion Battery Smart Production

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IEEE/CAA Journal of Automatica Sinica 2024年第09期 1944-1953页

作者： Kailong Liu qiao peng Yuhang Liu Naxin Cui Chenghui Zhang IEEE the School of Control Science and Engineering Shandong University the Information Technology Analytics & Operations group Queen’s University Belfast

Battery production is crucial for determining the quality of electrode, which in turn affects the manufactured battery performance. As battery production is complicated with strongly coupled intermediate and control parameters, an efficient solution that can perform a reliable sensitivity analysis of the production terms of interest and forecast key battery properties in the early production phase is urgently required. This paper performs detailed sensitivity analysis of key production terms on determining the properties of manufactured battery electrode via advanced data-driven modelling. To be specific, an explainable neural network named generalized additive model with structured interaction(GAM-SI) is designed to predict two key battery properties, including electrode mass loading and porosity,while the effects of four early production terms on manufactured batteries are explained and analysed. The experimental results reveal that the proposed method is able to accurately predict battery electrode properties in the mixing and coating stages. In addition, the importance ratio ranking, global interpretation and local interpretation of both the main effects and pairwise interactions can be effectively visualized by the designed neural *** to the merits of interpretability, the proposed GAM-SI can help engineers gain important insights for understanding complicated production behavior, further benefitting smart battery production.

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统一大市场、产业结构调整与区域经济差距

当代经济管理 2024年第4期46卷 12-23页

作者：韩笑彭桥天津师范大学马克思主义学院天津300382 天津财经大学统计学院天津300221

缩小区域经济差距是我国实现共同富裕总体目标的重要内容,全国统一大市场建设对于我国区域产业结构调整、缩小区域经济差距、实现共同富裕具有重要影响。文章利用我国2011—2020年省级面板数据,基于产业结构调整视角,探讨了统一大市场... 详细信息

缩小区域经济差距是我国实现共同富裕总体目标的重要内容,全国统一大市场建设对于我国区域产业结构调整、缩小区域经济差距、实现共同富裕具有重要影响。文章利用我国2011—2020年省级面板数据,基于产业结构调整视角,探讨了统一大市场对我国区域经济差距的影响效应及作用路径,研究发现:整体而言,统一大市场可显著缩小区域经济差距,但由于集聚效应与分散效应大小的相对变化,统一商品市场与要素市场对我国区域经济差距影响存在“倒U型”效应,且当前我国大约1/3的省份已跃过拐点,经过一系列稳健性检验并消除内生性问题后,该结论依然成立;深化区域产业分工和促进区域产业结构升级在统一大市场影响区域经济差距中发挥重要中介作用,商品市场和要素市场统一有利于区域产业分工和产业结构升级并存在互补效应,且能相互增强其对区域经济差距的影响。基于此,文章从完善统一大市场建设、优化区域产业结构调整等方面提出政策建议。

关键词：统一大市场区域产业结构调整区域经济差距共同富裕

基于知识矩阵推理的小型模块化反应堆并发故障诊断方法研究

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核动力工程 2024年第3期45卷 170-173页

作者：彭俏马杰刘明辉绳东杰海军工程大学核科学技术学院武汉430033

针对小型模块化反应堆(SMR)并发故障诊断问题,提出了一种基于知识矩阵进行知识表达和推理的并发故障诊断方法,该方法给出了一种高效的专家知识表达方式,将传统专家系统复杂的逻辑推理转换为简捷的矩阵运算,提高了故障诊断效率,可满足SM... 详细信息

针对小型模块化反应堆(SMR)并发故障诊断问题,提出了一种基于知识矩阵进行知识表达和推理的并发故障诊断方法,该方法给出了一种高效的专家知识表达方式,将传统专家系统复杂的逻辑推理转换为简捷的矩阵运算,提高了故障诊断效率,可满足SMR在线并发故障诊断的要求,并以SMR发生主冷却剂管路破损和控制棒掉棒并发故障为诊断示例证明了本方法的有效性。

关键词：小型模块化反应堆(SMR) 并发故障诊断知识矩阵推理

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最优试验次序的几类构造方法

应用数学学报 2024年第1期47卷 12-28页

作者：胡雯雯欧祖军彭巧吉首大学数学与统计学院吉首416000

许多领域都离不开试验,例如在新产品的研发以及测试中都需要进行精心设计的科学试验.当在试验中因子的水平改变非常困难时,如何合理安排试验次序是一个非常重要的问题.本文研究了具有最小和最大水平变化次数的试验次序的一些基本理论,... 详细信息

许多领域都离不开试验,例如在新产品的研发以及测试中都需要进行精心设计的科学试验.当在试验中因子的水平改变非常困难时,如何合理安排试验次序是一个非常重要的问题.本文研究了具有最小和最大水平变化次数的试验次序的一些基本理论,并针对完全因析设计、非正规部分因析设计和均匀设计等设计讨论了最优试验次序构造方法.作为实际中广泛应用的一些设计,利用本文的结果给出了其具有最小和最大水平变化次数的试验次序及相应的水平变化次数.

关键词：水平变化最优试验次序完全因析设计非正规设计均匀设计

基于太赫兹成像检测技术与特征提取方法结合巴旦木饱满度检测方法研究

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光谱学与光谱分析 2024年第7期44卷 1896-1904页

作者：胡军吕豪豪乔鹏贺永刘燕德华东交通大学智能机电装备创新研究院江西南昌330013 浙江大学机械工程学院浙江杭州310027

巴旦木是一种营养丰富的坚果,对巴旦木的品质进行检测具有重要的经济价值和实际意义。由于巴旦木具有较为坚硬的外壳,传统的检测手段较难实现内部检测,因此,采用新兴的太赫兹透射成像检测技术,开展巴旦木饱满度的检测研究。首先采集不... 详细信息

巴旦木是一种营养丰富的坚果,对巴旦木的品质进行检测具有重要的经济价值和实际意义。由于巴旦木具有较为坚硬的外壳,传统的检测手段较难实现内部检测,因此,采用新兴的太赫兹透射成像检测技术,开展巴旦木饱满度的检测研究。首先采集不同饱满度巴旦木的太赫兹透射图像,并且从太赫兹图像的感兴趣区域分别提取无样品区域、空壳区域和满仁区域的太赫兹光谱信息;为了提高模型的精度,减少计算量,采用竞争性自适应重加权算法(CARS)、无信息变量消除(UVE)、连续投影算法(SPA)、蒙特卡罗无信息变量消除法(MCUVE)和遗传算法(GA)对太赫兹光谱信息进行特征提取,建立对应的最小二乘支持向量机(LS-SVM)、随机森林(RF)和K-近邻(KNN)定性判别模型,对巴旦木的饱满和空壳区域进行检测和鉴别。此外,对太赫兹特征图像转为JPG格式,接着转化为RGB格式进行G通道提取和图像二值化分离出外壳和果仁图像,检测饱满度为太赫兹特征图像的壳仁像素点之比;对原始图像进行轮廓提取和图像二值化分离出外壳和果仁图像,实际饱满度为原始图像的壳仁像素点之比。通过计算检测饱满度和实际饱满度的误差,证明了太赫兹透射成像技术检测巴旦木饱满度的可行性。建立的KS-GA-RF模型的鉴别效果最优,准确率为98.21%;通过壳仁像素点之比分别计算出对应的检测饱满度和实际饱满度,误差为16%。研究验证了采用太赫兹图、谱相融合的方法,可以很好地实现对巴旦木内部种仁饱满度可视化检测,为巴旦木的准确分级提供了新的思路,也为太赫兹成像技术检测其他坚果饱满度提供了理论参考,具有重要的应用价值。

关键词：巴旦木饱满度太赫兹透射成像特征提取 RF判别模型

天智颗粒联合高压氧治疗急性一氧化碳中毒迟发型脑病的临床研究

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中国医学创新 2024年第7期21卷 45-49页

作者：乔鹏通辽市医院神经内三科内蒙古通辽028000

目的:探讨天智颗粒联合高压氧治疗急性一氧化碳中毒迟发型脑病(DEACMP)的临床效果及对活化蛋白(AP)-1、核因子-κB(NF-κB)、炎症因子的影响。方法:选取2018年10月—2022年9月通辽市医院神经内科收治的DEACMP患者60例,随机分为高压氧组... 详细信息

目的:探讨天智颗粒联合高压氧治疗急性一氧化碳中毒迟发型脑病(DEACMP)的临床效果及对活化蛋白(AP)-1、核因子-κB(NF-κB)、炎症因子的影响。方法:选取2018年10月—2022年9月通辽市医院神经内科收治的DEACMP患者60例,随机分为高压氧组和联合组,各30例。高压氧组予高压氧及常规治疗,联合组在高压氧组治疗基础上予天智颗粒口服治疗,两组均持续治疗3个月。观察两组临床疗效、脑电图恢复时间及神经症状、体征消失时间情况;比较治疗前后简易精神状态检查量表(MMSE)评分、蒙特利尔认知评估量表(MoCA)评分、日常生活活动能力量表(ADL)评分,血清干扰素(IFN)-γ、白细胞介素(IL)-8、IL-10含量及外周血单个核细胞中活化蛋白(AP)-1、核因子-κB(NF-κB)相对表达水平。结果:与高压氧组相比,联合组总有效率明显提高,电图恢复时间及症状体征消失时间均缩短,差异均有统计学意义(P<0.05)。与治疗前相比,两组治疗后MMSE、MoCA、ADL评分均升高,血清IFN-γ、IL-8均降低,IL-10升高,外周血单个核细胞AP-1、NF-κB相对表达量均降低,差异均有统计学意义(P<0.05);与高压氧组治疗后相比,联合组MMSE、MoCA、ADL评分均升高,血清IFN-γ、IL-8均降低,IL-10升高,外周血单个核细胞AP-1、NF-κB相对表达量均降低,差异均有统计学意义(P<0.05)。结论:天智颗粒联合高压氧治疗DEACMP有良好的临床效果,其机制可能与抑制炎症反应有关。

关键词：天智颗粒高压氧急性一氧化碳中毒迟发型脑病炎症反应