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Applying the Liouville–Lanczos method of time-dependent density-functional theory to warm dense matter
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作者 Zhandos A.Moldabekov Sebastian Schwalbe +3 位作者 Thomas Gawne Thomas R.Preston Jan Vorberger Tobias Dornheim 《Matter and Radiation at Extremes》 2025年第4期44-57,共14页
Ab initio modeling of dynamic structure factors(DSF)and related density response properties in the warm dense matter(WDM)regime is a challenging computational task.The DSF,convolved with a probing X-ray beam and instr... Ab initio modeling of dynamic structure factors(DSF)and related density response properties in the warm dense matter(WDM)regime is a challenging computational task.The DSF,convolved with a probing X-ray beam and instrument function,is measured in X-ray Thom-son scattering(XRTS)experiments,which allow the study of electronic structure properties at the microscopic level.Among the various ab initio methods,linear-response time-dependent density-functional theory(LR-TDDFT)is a key framework for simulating the DSF.The standard approach in LR-TDDFT for computing the DSF relies on the orbital representation.A significant drawback of this method is the unfavorable scaling of the number of required empty bands as the wavenumber increases,making LR-TDDFT impractical for modeling XRTS measurements over large energy scales,such as in backward scattering geometry.In this work,we consider and test an alternative approach to LR-TDDFT that employs the Liouville–Lanczos(LL)method for simulating the DSF of WDM.This approach does not require empty states and allows the DSF at large momentum transfer values and over a broad frequency range to be accessed.We compare the results obtained from the LL method with those from the solution of Dyson’s equation using the standard LR-TDDFT within the projector augmented-wave formalism for isochorically heated aluminum and warm dense hydrogen.Additionally,we utilize exact path integral Monte Carlo results for the imaginary-time density-density correlation function(ITCF)of warm dense hydrogen to rigorously benchmark the LL approach.We discuss the application of the LL method for calculating DSFs and ITCFs at different wavenumbers,the effects of pseudopotentials,and the role of Lorentzian smearing.The successful validation of the LL method under WDM conditions makes it a valuable addition to the ab initio simulation landscape,supporting experimental efforts and advancing WDM theory. 展开更多
关键词 ab initio dynamic structure factors dsf Liouville Lanczos method simulating ds ab initio methodslinear response warm dense matter time dependent density functional theory density response properties
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DI-YOLOv5:An Improved Dual-Wavelet-Based YOLOv5 for Dense Small Object Detection
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作者 Zi-Xin Li Yu-Long Wang Fei Wang 《IEEE/CAA Journal of Automatica Sinica》 2025年第2期457-459,共3页
Dear Editor,This letter focuses on the fact that small objects with few pixels disappear in feature maps with large receptive fields, as the network deepens, in object detection tasks. Therefore, the detection of dens... Dear Editor,This letter focuses on the fact that small objects with few pixels disappear in feature maps with large receptive fields, as the network deepens, in object detection tasks. Therefore, the detection of dense small objects is challenging. 展开更多
关键词 small objects receptive fields feature maps detection dense small objects object detection dense objects
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基于CWT-IDenseNet的滚动轴承故障诊断方法 被引量:1
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作者 贾广飞 梁汉文 +2 位作者 杨金秋 武哲 韩雨欣 《河北科技大学学报》 北大核心 2025年第2期129-140,共12页
针对一维信号所含信息不全面和DenseNet网络在变工况下存在过拟合等问题,提出了基于连续小波变换时频图像和改进密集连接卷积网络(improved DenseNet,IDenseNet)的滚动轴承故障诊断方法CWT-IDenseNet。首先,将一维振动信号通过CWT转为... 针对一维信号所含信息不全面和DenseNet网络在变工况下存在过拟合等问题,提出了基于连续小波变换时频图像和改进密集连接卷积网络(improved DenseNet,IDenseNet)的滚动轴承故障诊断方法CWT-IDenseNet。首先,将一维振动信号通过CWT转为二维时频图像;其次,对DenseNet网络进行改进,将DenseNet第1个卷积块中的ReLU激活函数替换为Swish激活函数(Swish激活函数更平滑);同时,在网络中引入基于风格的卷积神经网络重校准模块(style-based recalibration module,SRM)和空间与通道注意力机制模块(convolutional block attention module,CBAM),SRM关注特征通道权重,CBAM则从通道和空间2个维度增强特征表达能力,进而得到IDenseNet;最后,将二维时频图像输入到IDenseNet模型中进行特征提取和故障诊断,通过模型的Softmax层输出故障诊断结果。结果表明,所提方法在恒定工况及变工况下的平均故障识别准确率均达到97.80%,且在迁移学习模型中,平均故障识别准确率达到了99.44%。CWT-IDenseNet方法可以有效提高模型的泛化能力,在恒定工况及变工况下具有显著优势,对提高滚动轴承故障诊断的准确率和可靠性具有参考价值。 展开更多
关键词 机械动力学与振动 滚动轴承故障诊断 连续小波变换 密集连接卷积网络 注意力机制
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基于CAM-DenseNet模型的邮轮薄板焊缝缺陷识别算法
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作者 黎林发 王岳 《造船技术》 2025年第1期78-84,共7页
邮轮薄板焊缝的熔深和熔宽相对较小,母材与焊缝区域差异性小,焊缝表面缺陷较难判别。为准确地定位焊缝位置,提出一种将注意力机制的坐标注意力模块(Coordinate Attention Module,CAM)融入密集链接卷积网络(Densely Connected Convolutio... 邮轮薄板焊缝的熔深和熔宽相对较小,母材与焊缝区域差异性小,焊缝表面缺陷较难判别。为准确地定位焊缝位置,提出一种将注意力机制的坐标注意力模块(Coordinate Attention Module,CAM)融入密集链接卷积网络(Densely Connected Convolutional Networks,DenseNet)的邮轮薄板焊缝缺陷识别算法,建立CAM-DenseNet模型。将网络中的激活函数ReLU替换为更具有稳定性的ReLU6,并利用贝叶斯优化算法对CAM-DenseNet模型的超参数组合进行优化和选取。在焊接车间利用相机采集邮轮薄板焊缝三原色(Red Green Blue,RGB)图片,自建立邮轮薄板焊缝缺陷数据集,并按焊缝缺陷类型将数据集分为凹陷、气孔、毛刺、表面裂纹和无缺陷等5类。试验结果表明,CAM-DonseNet模型对邮轮薄板焊缝缺陷识别具有优异表现。 展开更多
关键词 邮轮 薄板 焊缝缺陷 识别算法 深度学习 密集链接卷积网络 坐标注意力模块 CAM-denseNet模型 激活函数 贝叶斯优化算法
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基于Dense Net的迁移学习在岩性识别中的应用研究
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作者 杨建松 曹成 《西安文理学院学报(自然科学版)》 2025年第3期61-67,共7页
将Dense Net卷积神经网络模型与迁移学习技术相结合,应用于岩石岩性识别.传统岩石识别方法依赖经验且耗时耗力,易受主观因素影响,而深度学习的卷积神经网络能自动学习和提取特征.Dense Net模型连接紧密,增强特征重用性,提高信息传递效率... 将Dense Net卷积神经网络模型与迁移学习技术相结合,应用于岩石岩性识别.传统岩石识别方法依赖经验且耗时耗力,易受主观因素影响,而深度学习的卷积神经网络能自动学习和提取特征.Dense Net模型连接紧密,增强特征重用性,提高信息传递效率.迁移学习可将知识和经验迁移到新任务,改善性能.实验选取石灰岩、大理石、石英岩和砂岩四类岩石图像进行测试,训练准确率趋于100%,测试准确率基本稳定在80%左右,最高预测准确率83.2%,表明模型训练效果理想,鲁棒性和泛化能力较强.未来可进一步收集更丰富专业的数据集并优化模型以提高准确率. 展开更多
关键词 dense Net 迁移学习 岩性识别 卷积神经网络
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Densely-connected Decoder Transformer for unsupervised anomaly detection of power electronic systems
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作者 Zhichen Zhang Gen Qiu +1 位作者 Yuhua Cheng Min Wang 《Journal of Automation and Intelligence》 2025年第3期217-226,共10页
Reliable electricity infrastructure is critical for modern society,highlighting the importance of securing the stability of fundamental power electronic systems.However,as such systems frequently involve high-current ... Reliable electricity infrastructure is critical for modern society,highlighting the importance of securing the stability of fundamental power electronic systems.However,as such systems frequently involve high-current and high-voltage conditions,there is a greater likelihood of failures.Consequently,anomaly detection of power electronic systems holds great significance,which is a task that properly-designed neural networks can well undertake,as proven in various scenarios.Transformer-like networks are promising for such application,yet with its structure initially designed for different tasks,features extracted by beginning layers are often lost,decreasing detection performance.Also,such data-driven methods typically require sufficient anomalous data for training,which could be difficult to obtain in practice.Therefore,to improve feature utilization while achieving efficient unsupervised learning,a novel model,Densely-connected Decoder Transformer(DDformer),is proposed for unsupervised anomaly detection of power electronic systems in this paper.First,efficient labelfree training is achieved based on the concept of autoencoder with recursive-free output.An encoder-decoder structure with densely-connected decoder is then adopted,merging features from all encoder layers to avoid possible loss of mined features while reducing training difficulty.Both simulation and real-world experiments are conducted to validate the capabilities of DDformer,and the average FDR has surpassed baseline models,reaching 89.39%,93.91%,95.98%in different experiment setups respectively. 展开更多
关键词 Power electronic systems Anomaly detection Transformer network dense connection Unsupervised learning DDformer
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A review on multi-scale structure engineering of carbon-based electrode materials towards dense energy storage for supercapacitors
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作者 Dongyang Wu Fei Sun +5 位作者 Min Xie Hua Wang Wei Fan Jihui Gao Guangbo Zhao Shaoqin Liu 《Journal of Energy Chemistry》 2025年第3期768-799,共32页
Improving the volumetric energy density of supercapacitors is essential for practical applications,which highly relies on the dense storage of ions in carbon-based electrodes.The functional units of carbon-based elect... Improving the volumetric energy density of supercapacitors is essential for practical applications,which highly relies on the dense storage of ions in carbon-based electrodes.The functional units of carbon-based electrode exhibit multi-scale structural characteristics including macroscopic electrode morphologies,mesoscopic microcrystals and pores,and microscopic defects and dopants in the carbon basal plane.Therefore,the ordered combination of multi-scale structures of carbon electrode is crucial for achieving dense energy storage and high volumetric performance by leveraging the functions of various scale structu re.Considering that previous reviews have focused more on the discussion of specific scale structu re of carbon electrodes,this review takes a multi-scale perspective in which recent progresses regarding the structureperformance relationship,underlying mechanism and directional design of carbon-based multi-scale structures including carbon morphology,pore structure,carbon basal plane micro-environment and electrode technology on dense energy storage and volumetric property of supercapacitors are systematically discussed.We analyzed in detail the effects of the morphology,pore,and micro-environment of carbon electrode materials on ion dense storage,summarized the specific effects of different scale structures on volumetric property and recent research progress,and proposed the mutual influence and trade-off relationship between various scale structures.In addition,the challenges and outlooks for improving the dense storage and volumetric performance of carbon-based supercapacitors are analyzed,which can provide feasible technical reference and guidance for the design and manufacture of dense carbon-based electrode materials. 展开更多
关键词 SUPERCAPACITORS Carbon-based electrodes Volumetric performances Multi-scale structure dense energy storage
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Undrained shear mechanical behaviors of dense gassy sand
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作者 Mengbing Xu Cheng Chen +3 位作者 Yong Wang Junbiao Yan Song Yu Junjie Zhang 《Journal of Rock Mechanics and Geotechnical Engineering》 2025年第7期4591-4603,共13页
Shallow gas can cause many disasters,and it is reported in many marine engineering constructions.For this,it is imperative to understand the impact of gas on the mechanical behaviors of soil.This study investigated th... Shallow gas can cause many disasters,and it is reported in many marine engineering constructions.For this,it is imperative to understand the impact of gas on the mechanical behaviors of soil.This study investigated the influence of undrained triaxial compression tests on dense gassy sand commonly encountered in coastal areas.Triaxial tests were performed on specimens with saturations of 100%,99.8%,95.9%,and 92.7% under confining pressures of 50 kPa and 200 kPa by a self-developed multipurpose integrated triaxial apparatus(MITA)for gassy soil.The results are presented in terms of monotonic stress‒strain behavior,volumetric behavior,shear strength,and excess pore water pressure(EPWP).The occurrence of gas bubbles has different effects on loose and dense sands,augmenting the undrained shear strength of loose sand while concurrently diminishing that of dense sand.The deviatoric stress of dense sand increases during shear shrinkage,which is similar to the characteristics of loose sand under the influence of gas bubbles.However,following sand dilation,the effect of gas bubbles on deviatoric stress manifests in an antithetical manner.With elevated gas content,the shear strength of dense sand decreases,accompanied by a deceleration in the development of EPWP and a notable increase in volumetric changes.To this end,a microscopic explanation concerning the deformation and evolution of gas bubbles within sand during the shear process was presented to reveal the macroscopic laws governing the undrained shear attributes of dense gassy sand. 展开更多
关键词 Undrained triaxial tests Gassy sediments dense sand Shear behavior
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Analysis of seismicity in the Haicheng-Xiuyan region based on dense array data and deep learning methods
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作者 Zemin Liu Weitao Wang +4 位作者 Lu Li Zihao Li Ziye Yu Songyong Yuan Lanshu Bai 《Earthquake Science》 2025年第4期346-362,共17页
The aftershocks of the 1975 M_(S)7.3 Haicheng and 1999 M_(S)5.4 Xiuyan earthquakes have persisted for a long time.The ChinArray-III dense stations,deployed in eastern North China from 2018 to 2020,increased seismic mo... The aftershocks of the 1975 M_(S)7.3 Haicheng and 1999 M_(S)5.4 Xiuyan earthquakes have persisted for a long time.The ChinArray-III dense stations,deployed in eastern North China from 2018 to 2020,increased seismic monitoring capability in the Haicheng-Xiuyan region,which can facilitate the construction of high-precision earthquake catalogs to better clarify the fault structures and seismogenic mechanisms of the two earthquakes.In this study,we selected 15 permanent stations and 37 ChinArray-III stations within 150 km of the epicenter of the Haicheng Earthquake.Next,we used deep learning methods to pick P-and S-wave phases from continuous waveforms recorded at these stations from January 2018 to July 2020.Based on these picks,we constructed an automatic earthquake catalog of the Haicheng-Xiuyan region.Compared with the routine manual catalog by China Earthquake Networks Center(CENC),our catalog contains 9.7 times more seismic events,including 98.3%of the seismic events in the CENC catalog,and has a lower magnitude of completeness(M_(c)=1.1 vs M_(c)=1.8 for the CENC catalog).The relocated events indicate that the strike of the Haichenghe-Dayanghe fault varies considerably from northwest to southeast,indicating that the fault bends slightly around the hypocenter of the 1975 M_(S)7.3 Haicheng earthquake which may act as a channel for fluid migration.The weak seismicity in the area between Haicheng and Xiuyan indicates that the fault section may be locked.Furthermore,the 1999 M_(S)5.4 Xiuyan earthquake and its aftershock sequence occurred on the Kangjialing fault and its ENE-trending conjugate fault,and the intersection of the two faults coincides with the source areas of the 1999 M_(S)5.4 and 2000 M_(S)5.1 Xiuyan earthquakes.Therefore,the Xiuyan earthquake sequence may be controlled by the Kangjialing fault and its conjugate fault.This study shows that the automatic earthquake catalog,obtained by deep learning methods and dense seismic array,can provide valuable information for fault structures and the seismogenic mechanisms of moderate-to-strong earthquakes. 展开更多
关键词 Haicheng Earthquake Haichenghe-Dayanghe fault dense array earthquake detection and location
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Study on the characteristics of crack initiation in deep dense shale containing circular hole under varying stress conditions
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作者 XIE Hong-qiang FENG Gan +4 位作者 LIU Huai-zhong HE Qiang XIAO Ming-li PEI Jian-liang TAHERDANGKOO Reza 《Journal of Central South University》 2025年第1期244-261,共18页
The evolution of cracks in shale directly affects the efficient production of shale gas.However,there is a lack of research on the characteristics of crack initiation in deep dense shale under different stress conditi... The evolution of cracks in shale directly affects the efficient production of shale gas.However,there is a lack of research on the characteristics of crack initiation in deep dense shale under different stress conditions.In this work,considering the different combinations of confining pressure and bedding plane inclination angle(α),biaxial mechanical loading experiments were conducted on shale containing circular holes.The research results indicate that the confining pressure and inclination angle of the bedding planes significantly influence the failure patterns of shale containing circular holes.The instability of shale containing circular holes can be classified into five types:tensile failure along the bedding planes,tensile failure through the bedding planes,shear slip along the bedding planes,shear failure through the bedding planes,and block instability failure.Furthermore,the evolution of strain and stress fields around the circular holes was found to be the fundamental cause of variations in the initiation characteristics and locations of shale cracks.The crack initiation criterion for shale containing circular hole was established,providing a new method for evaluating the trajectory of shale hole wall fractures.This study holds significant importance for evaluating the evolution and stability of fracture networks within shale reservoirs. 展开更多
关键词 shale gas deep dense shale crack initiate characteristics failure modes
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Impact of local field correction on transport and dynamic properties of warm dense matter
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作者 S.K.Kodanova T.S.Ramazanov M.K.Issanova 《Matter and Radiation at Extremes》 2025年第3期89-97,共9页
A plasma screening model that accounts for electronic exchange-correlation effects and ionic nonideality in dense quantum plasmas is proposed.This model can be used as an input in various plasma interaction models to ... A plasma screening model that accounts for electronic exchange-correlation effects and ionic nonideality in dense quantum plasmas is proposed.This model can be used as an input in various plasma interaction models to calculate scattering cross-sections and transport properties.The applicability of the proposed plasma screening model is demonstrated using the example of the temperature relaxation rate in dense hydrogen and warm dense aluminum.Additionally,the conductivity of warm dense aluminum is computed in the regime where collisions are dominated by electron-ion scattering.The results obtained are compared with available theoretical results and simulation data. 展开更多
关键词 dynamic properties local field correction ionic nonideality plasma interaction models temperature relaxation rate transport properties plasma screening model dense quantum plasmas
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Energy-saving control strategy for ultra-dense network base stations based on multi-agent reinforcement learning
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作者 Yan Zhen Litianyi Tao +2 位作者 Dapeng Wu Tong Tang Ruyan Wang 《Digital Communications and Networks》 2025年第4期1006-1016,共11页
Aiming at the problem of mobile data traffic surge in 5G networks,this paper proposes an effective solution combining massive multiple-input multiple-output techniques with Ultra-Dense Network(UDN)and focuses on solvi... Aiming at the problem of mobile data traffic surge in 5G networks,this paper proposes an effective solution combining massive multiple-input multiple-output techniques with Ultra-Dense Network(UDN)and focuses on solving the resulting challenge of increased energy consumption.A base station control algorithm based on Multi-Agent Proximity Policy Optimization(MAPPO)is designed.In the constructed 5G UDN model,each base station is considered as an agent,and the MAPPO algorithm enables inter-base station collaboration and interference management to optimize the network performance.To reduce the extra power consumption due to frequent sleep mode switching of base stations,a sleep mode switching decision algorithm is proposed.The algorithm reduces unnecessary power consumption by evaluating the network state similarity and intelligently adjusting the agent’s action strategy.Simulation results show that the proposed algorithm reduces the power consumption by 24.61% compared to the no-sleep strategy and further reduces the power consumption by 5.36% compared to the traditional MAPPO algorithm under the premise of guaranteeing the quality of service of users. 展开更多
关键词 Ultra dense networks Base station sleep Multiple input multiple output Reinforcement learning
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Dense homogeneous hetero-interfacial coupling between amorphous Mo–N and crystalline Mo_(2)N for enhanced sodium-ion storage
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作者 Yao-Hui Qu Zi-Juan Luo +5 位作者 Mao-Hui Yu Yang Pan Wen-Xiu He Shu-Xiao Hu Ling-Feng Zhu Fan-Yan Zeng 《Rare Metals》 2025年第6期3827-3838,共12页
Optimizing the interfacial environments of electrodes has emerged as an effective strategy to improve their electrochemical properties.Amorphous/crystalline interfacial coupling can effectively utilize the advantages ... Optimizing the interfacial environments of electrodes has emerged as an effective strategy to improve their electrochemical properties.Amorphous/crystalline interfacial coupling can effectively utilize the advantages of amorphous materials to optimize the interfacial structure for efficient Na^(+)storage.Herein,the dense homologous amorphous/crystalline heterointerfaces are in situ achieved in N-doped carbon nanobundles via self-polymerization and precise nitriding(Mo–N/Mo_(2)N@C).The amorphous Mo–N rich in unsaturated vacancy defects provides abundant active sites with isotropic ion-transport channels,and can effectively alleviate structural stress from crystalline Mo_(2)N.Meanwhile,the conductive Mo_(2)N can facilitate effective electron transfer,augmented further by the carbon encapsulation.Theoretical calculations reveal that the dense heterointerfaces can optimize the electronic structure and shift the d-p orbital centers of Mo and N upward,thereby enhancing the adsorption and mobility of Na^(+),and ultimately improving the charge transport and storage efficiency of the electrode.The Mo–N/Mo_(2)N@C as an anode delivers a 46.9%increase in reversible capacity over Mo_(2)N@C,reaching 461.1 m Ah.g^(–1)at 0.1 A.g^(–1),along with improved rate capability and cycling stability,underlining its practical utility.These results suggest that the homologous interfacial coupling can boost the storage properties of nitrides,providing a valuable reference for improving the properties of electrodes with low theoretical capacities. 展开更多
关键词 dense homologous interfacial coupling Amorphous Mo-N Crystalline Mo2N Anode materials Sodium-ionbatteries
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Sediment thickness distribution beneath the source and adjacent area of the Jishishan earthquake: A short-period dense array study
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作者 Meng Fan-chang Li Bo +2 位作者 Sun Hui Xu Shan-hui Wang Chang-zai 《Applied Geophysics》 2025年第2期264-278,554,555,共17页
Reliable thickness of sedimentary layers is essential for seismic hazard assessment in active fault zones, especially in regions prone to strong earthquakes. This study analyzed the seismic ambient noise data recorded... Reliable thickness of sedimentary layers is essential for seismic hazard assessment in active fault zones, especially in regions prone to strong earthquakes. This study analyzed the seismic ambient noise data recorded by 60 short-period seismic stations deployed at the Jishishan earthquake source and adjacent areas. The base-order resonance frequencies of sedimentary layers beneath the stations were determined using the horizontal-to-vertical spectral ratio method on ambient noise with diff erent frequencies. Then, a resonance-thickness formula was applied to estimate the sedimentary layer thickness at each station. Finally, the entire regional sediment thickness was obtained via interpolation. The thickness of the sedimentary layer beneath each station was estimated using the equation of the relationship between resonance frequency and sedimentary layer thickness, and fi nally, the distribution of sedimentary layer thickness in the whole region was obtained by interpolation. Results reveal notable spatial variations in sediment thickness in the source and adjacent areas. The shallow sedimentary layer in the source area is relatively thick at approximately 100 m, whereas that in Liugou Village, which is the most severely damaged area, is approximately 150-180 m. In the western region, specifically along the western edge of the Jishishan Mountain rupture and the Pourouliuhe-Cheunhua Nanshan rupture zone, the shallow sedimentary layer is approximately 30-60 m. A comparison between the distribution of seismic secondary hazards and sedimentary layer thickness highlights a strong correlation between these hazards and the amplifi cation eff ects of seismic waves. In regions with thicker sedimentary layers, ground shaking is signifi cantly amplifi ed, resulting in more serious seismic secondary hazards. In addition, the study confi rmed that secondary hazards, such as landslides and liquefaction, were more prevalent in regions with thicker sedimentary layers. These fi ndings provide an important reference for post-earthquake reconstruction, seismic risk assessment, and the development of regional disaster prevention and mitigation strategies.. 展开更多
关键词 Mountain Jishishan Seismic dense Array Ambient noise Ratio of horizontal and vertical components Sedimental thickness
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Experimental investigation on the stability of shield tunnel excavation face in upper loose and lower dense water-rich strata
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作者 Pengfei LI Chuang WANG +3 位作者 Xiaopu CUI Qing XU Zhaoguo GE Shaohua LI 《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 2025年第5期471-491,共21页
Maintaining the stability of the excavation face is key for ensuring the safety of underwater shield tunnel construction.However,the majority of current studies on the stability of excavation face focus on the homogen... Maintaining the stability of the excavation face is key for ensuring the safety of underwater shield tunnel construction.However,the majority of current studies on the stability of excavation face focus on the homogeneous strata,with limited research conducted on the upper loose and lower dense strata.Active instability tests are conducted in this study,in concert with the digital image correlation(DIC)technique,to investigate the effects of different water pressure ratios in upper loose and lower dense water-rich strata.The accuracy of these model tests is verified using numerical simulations.The results indicate that as water pressure ratio decreases,there is an increase in both the peak displacement of surface settlement and the seepage path range of water ahead of the excavation face expands.In contrast,decreasing water pressure ratio will break the limit equilibrium state of the strata faster,cause the earth pressure on the cutterhead to change more rapidly,and increase the instability range of the strata. 展开更多
关键词 Shield tunnel Upper loose and lower dense strata Excavation face stability Water pressure ratio
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Earthquake monitoring and high-resolution velocity tomography for the central Longmenshan fault zone by a temporary dense seismic array
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作者 ShaoBo Yang HaiJiang Zhang +4 位作者 MaoMao Wang Ji Gao Shuaijun Wang BaoJin Liu XiWei Xu 《Earth and Planetary Physics》 2025年第2期239-252,共14页
The Longmenshan(LMS)fault zone is located at the junction of the eastern Tibetan Plateau and the Sichuan Basin and is of great significance for studying regional tectonics and earthquake hazards.Although regional velo... The Longmenshan(LMS)fault zone is located at the junction of the eastern Tibetan Plateau and the Sichuan Basin and is of great significance for studying regional tectonics and earthquake hazards.Although regional velocity models are available for the LMS fault zone,high-resolution velocity models are lacking.Therefore,a dense array of 240 short-period seismometers was deployed around the central segment of the LMS fault zone for approximately 30 days to monitor earthquakes and characterize fine structures of the fault zone.Considering the large quantity of observed seismic data,the data processing workflow consisted of deep learning-based automatic earthquake detection,phase arrival picking,and association.Compared with the earthquake catalog released by the China Earthquake Administration,many more earthquakes were detected by the dense array.Double-difference seismic tomography was adopted to determine V_(p),V_(s),and V_(p)/V_(s)models as well as earthquake locations.The checkerboard test showed that the velocity models have spatial resolutions of approximately 5 km in the horizontal directions and 2 km at depth.To the west of the Yingxiu–Beichuan Fault(YBF),the Precambrian Pengguan complex,where most of earthquakes occurred,is characterized by high velocity and low V_(p)/V_(s)values.In comparison,to the east of the YBF,the Upper Paleozoic to Jurassic sediments,where few earthquakes occurred,show low velocity and high V_(p)/V_(s)values.Our results suggest that the earthquake activity in the LMS fault zone is controlled by the strength of the rock compositions.When the high-resolution velocity models were combined with the relocated earthquakes,we were also able to delineate the fault geometry for different faults in the LMS fault zone. 展开更多
关键词 Longmenshan fault zone dense seismic array deep learning double-difference seismic tomography seismic velocity model earthquake locations fault geometry
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CFD-DEM approaches for simulating dense gas±solid reacting flows:Progress and perspectives
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作者 Gang WANG Wenqiang GUO Yanguang YANG 《Chinese Journal of Aeronautics》 2025年第9期1-2,共2页
1.Introduction Computational Fluid Dynamics-Discrete Element Method(CFD-DEM)is a powerful tool for simulating dense gas-solid reacting flows,which is essential in combustion,metallurgy,and waste management.Traditional... 1.Introduction Computational Fluid Dynamics-Discrete Element Method(CFD-DEM)is a powerful tool for simulating dense gas-solid reacting flows,which is essential in combustion,metallurgy,and waste management.Traditional methods face challenges in CFD-DEM modeling of dense gas-solid flows due to multi-scale characteristics,limiting resolution and creating simulation bottlenecks.By integrating fluid dynamics and particle behavior,it optimizes industrial processes.This review highlights advancements,applications,and challenges,emphasizing its role in sustainable engineering. 展开更多
关键词 integrating fluid dynamics particle behaviorit dense gas solid flows COMBUSTION simulation bottlenecksby computational fluid dynamics discrete element method waste managementtraditional METALLURGY
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Novel gradient ZrB_(2)-MoSi_(2)-SiC dense layer with enhanced emissivity and long-term oxidation resistance at ultra-high temperatures
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作者 Ling-Yu Yang Shun Dong +4 位作者 Tang-Yin Cui Jian-Qiang Xin Gui-Qing Chen Chang-Qing Hong Xing-Hong Zhang 《Rare Metals》 2025年第3期2043-2058,共16页
The rapid evolution of hypersonic vehicle technologies necessitates robust thermal protection systems capable of withstanding extreme oxidative ablation.This study introduces a novel gradient-architected ZrB_(2)-MoSi_... The rapid evolution of hypersonic vehicle technologies necessitates robust thermal protection systems capable of withstanding extreme oxidative ablation.This study introduces a novel gradient-architected ZrB_(2)-MoSi_(2)-SiC dense layer embedded within a lightweight three-dimensional(3D)needled carbon fiber composite.Utilizing the volatility of ethanol and polycarbosilane,the ceramic slurry is selectively infused into targeted regions of the fibrous structure,optimizing the ZrB_(2)to MoSi_(2)ratio to enhance performance.The resulting dense layer exhibits exceptional emissivity,surpassing 0.90 in the 1-3μm range and exceeding 0.87 in the 2-14μm range.Moreover,it demonstrates remarkable oxidative ablation resistance.Specifically,at an optimized ZrB_(2)to MoSi_(2)ratio of 6:4,the dense layer achieves a minimal linear ablation rate of 0.015μm·s^(-1) under a 1.5 MW·m^(-2)oxyacetylene flame for 1000 s.Even after exposure to oxyacetylene ablation at surface temperatures of approximately 1750℃for 1000 s,the dense layer retains its structural integrity,highlighting its enduring oxidation resistance.The incorporation of MoSi_(2)not only enhances emissivity but also fortifies the ZrO_(2)and SiO_(2)oxide layers,crucial for environments with elevated oxygen levels,thereby mitigating the active oxidation of SiC.This combination of high emissivity and long-term oxidation resistance at ultra-high temperatures positions the ZrB_(2)-MoSi_(2)-SiC dense layer as an exceptionally promising candidate for advanced thermal protection in hypersonic vehicles. 展开更多
关键词 Gradient-architected ZrB_(2)-MoSi_(2)-SiC dense layer EMISSIVITY LONG-TERM Oxyacetylene ablation
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High-resolution shallow structures of the Red River fault zone in the southeastern Tibetan Plateau of China revealed by multiple seismic dense linear arrays
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作者 HongYu Ni JunLun Li +5 位作者 Bao Deng JinYu Zhang YuanChao Lu Yan Zhao JianYe Chen Peng Su 《Earth and Planetary Physics》 2025年第2期195-211,共17页
The complex Red River fault zone(RRFZ),which is situated in the southwestern region of China and separates the Indochina plate and South China blocks,has diverse seismic activities in different segments.To reveal the ... The complex Red River fault zone(RRFZ),which is situated in the southwestern region of China and separates the Indochina plate and South China blocks,has diverse seismic activities in different segments.To reveal the detailed geometric characteristics of the RRFZ at different sections and to better understand the seismogenic environment,in 2022 and 2023 we deployed 7 seismic dense linear arrays,consisting of 574 nodal stations,across the RRFZ in the northern and southern segments near the towns Midu,Gasa,Zhega,Dazhai,Xinzhai,and Taoyuan.The linear arrays,which extend from 2.4 to 12.5 km in length with station intervals ranging between 40 and140 m,recorded seismic ambient noise for approximately one month.Using the extended range phase shift method,we extract the phase velocity dispersion curves of the Rayleigh waves between 0.9 and 10 Hz,which are then used to invert for the high resolution shearwave velocity structures across the RRFZ beneath the linear arrays.The key findings are:(1)the 7 imaged sections of the RRFZ exhibit quite similar structures,with higher velocities on the SW side and lower velocities on the NE side;the velocity variation is consistent with the surface geological structures along the RRFZ;(2)the shear-wave velocities on the SW side of the RRFZ at the northern Midu section and southern Gasa-Dazhai sections are generally higher than their counterparts in the southern Xinzhai-Taoyuan sections,which reflects lithological variations from the marble-dominated Paleoproterozoic Along basement to the gneiss dominated Paleoproterozoic Qingshuihe basement;(3)from the northern Midu section to the southern region where the RRFZ intersects with the Xiaojiang Fault,the major faults of the RRFZ exhibit a consistent high-angle,NE-dipping structure;(4)the low shear-wave velocities immediately to the NE of the velocity boundary may indicate a faulted zone due to long-term shearing,where excessive amplifications of ground motions could occur.This study provides new insights into the characteristics of the shallow structures of the RRFZ. 展开更多
关键词 Red River fault zone shallow fault structure seismic dense array ambient noise tomography extended range phase shift method
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Dense-YOLO:一种用于监测复杂场景灰飞虱虫害的检测算法 被引量:1
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作者 李善达 王虎奇 +3 位作者 丛佩超 冯浩 胥羽涛 李添恒 《广西科技大学学报》 2025年第3期24-32,共9页
灰飞虱为典型田间害虫,不仅危害作物发育,而且会给农民带来重大经济损失,影响正常的粮食供应。采用基于深度学习技术的目标检测算法监测灰飞虱分布状态可取代繁琐的传统人工观察与计数,同时其使用成本较低。本文基于YOLOv5开发一种新型... 灰飞虱为典型田间害虫,不仅危害作物发育,而且会给农民带来重大经济损失,影响正常的粮食供应。采用基于深度学习技术的目标检测算法监测灰飞虱分布状态可取代繁琐的传统人工观察与计数,同时其使用成本较低。本文基于YOLOv5开发一种新型灰飞虱小目标检测算法Dense-YOLO,用于准确检测并计数分布于复杂田间且不同种类的灰飞虱,通过在YOLOv5主干网络中融合CSPDenseNet以促进浅层特征的重复使用,从而提高网络对小目标的检测能力。实验结果表明,Dense-YOLO的检测AP@0.5∶0.95、AR、F1评分分别可达52.4%、61.5%、56.6%,较YOLOv5分别提升2.2、0.7、1.6百分点,平均耗时为58.82 ms,在满足高精度的同时具有较快的推理速度,可满足灰飞虱小目标虫害实时监测的使用需求,同时该方法也可用于对其他不同类型作物虫害的实时监测。 展开更多
关键词 灰飞虱 虫害监测 YOLO 密集单元 残差网络
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