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新疆库车盆地古近纪—新近纪盐湖成钾与靶区预测

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地质学报 2024年第3期98卷 941-956页

作者：刘成林曹养同徐洋焦鹏程姚佛军中国地质大学地质过程与矿产资源国家重点实验室湖北武汉430074 新疆自然资源与生态环境研究中心新疆乌鲁木齐830000 中国地质科学院矿产资源研究所自然资源部成矿作用与资源评价重点实验室北京100037 东华理工大学核资源与环境国家重点实验室江西南昌330013

库车前陆盆地位于塔里木盆地北部,属于副特提斯域,古近纪受副特提斯海海水补给,古近纪—新近纪发育巨厚蒸发岩。研究显示,库车盆地始新世和中新世古盐湖卤水已演化至钾盐析出阶段,在地层中广泛发现了原生钾盐矿物,如钾石盐、光卤石、杂... 详细信息

库车前陆盆地位于塔里木盆地北部,属于副特提斯域,古近纪受副特提斯海海水补给,古近纪—新近纪发育巨厚蒸发岩。研究显示,库车盆地始新世和中新世古盐湖卤水已演化至钾盐析出阶段,在地层中广泛发现了原生钾盐矿物,如钾石盐、光卤石、杂卤石等;通过岩芯岩屑地球化学及矿物学分析,基本确定了至少3个富钾层或成钾层位,其中始新统中上部两个和中新统中上部一个,钾离子含量最高达3%,另外,上新统可能存在一个成钾层位。本文在综述此前库车盆地构造、蒸发岩、盐类矿物学、地球化学与盐湖沉积等研究基础上,建立了新的库车盆地古盐湖构造-沉积演变、成钾模式;提出了4个钾盐成矿区带,即北部克拉苏成矿带、中部秋里塔克成矿带、南部沙雅构造沉降成矿带以及东部阳霞凹地成钾区,这些关键认识为库车盆地的钾盐勘查提供了重要的理论和科学依据。

关键词：库车盆地古盐湖古近纪—新近纪钾盐沉积与预测

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互联网背景下高校舞蹈专业教学改革路径探索

广西开放大学学报 2024年第3期35卷 92-96页

作者：焦鹏程信阳职业技术学院河南信阳464000

随着互联网的发展,教学与互联网之间的关系日益紧密,高校舞蹈专业教学改革面临新的机遇与挑战。在互联网背景下,高校舞蹈专业教学改革不仅能丰富教学资源,促进了个性化教学,还创新了教学方式,提升了教学质量,但高校舞蹈专业教学在基础... 详细信息

随着互联网的发展,教学与互联网之间的关系日益紧密,高校舞蹈专业教学改革面临新的机遇与挑战。在互联网背景下,高校舞蹈专业教学改革不仅能丰富教学资源,促进了个性化教学,还创新了教学方式,提升了教学质量,但高校舞蹈专业教学在基础设施、课堂教学方法、反馈评价模式、教师素养等方面仍需进一步完善。因此,探究互联网背景下高校舞蹈专业教学的优化路径犹为重要,包括完善基础设施建设,创新课堂教学方式,改进教学反馈评价机制,提高教师信息素养等。

关键词：互联网舞蹈专业教学改革路径

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Advanced ocean wave energy harvesting:current progress and future trends

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2023年第2期24卷 91-108页

作者： Fang HE Yibei LIU Jiapeng PAN Xinghong YE pengcheng jiao Ocean College Zhejiang UniversityZhoushan 316021China

With a transition towards clean and low-carbon renewable energy,against the backdrop of the fossil-energy crisis and rising pollution,ocean energy has been proposed as a significant possibility for mitigating climate change and energy shortages for its characteristics of clean,renewable,and *** rapid development of energy harvesting technology has led to extensive applications of ocean wave energy,which,however,has faced certain challenges due to the low-frequency and unstable nature of ocean *** paper overviews the debut and development of ocean wave energy harvesting technology,and discusses the potential and application paradigm for energy harvesting in the“intelligent ocean.”We first describe for readers the mechanisms and applications of traditional wave energy converters,and then discuss current challenges in energy harvesting performance connected to the characteristics of ocean ***,we summarize the progress in wave energy harvesting with a focus on advanced technologies(e.g.,data-driven design and optimization)and multifunctional energy materials(e.g.,triboelectric metamaterials),and finally propose recommendations for future development.

关键词： Ocean wave energy Wave energy converters Energy harvesting technology Advanced energy materials Intelligent ocean

Underwater minirobots actuated by hybrid driving method

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2023年第7期24卷 596-611页

作者： Xinghong YE Yang YANG pengcheng jiao Zhiguo HE Lingwei LI Institute of Port Coastal and Offshore EngineeringOcean CollegeZhejiang UniversityZhoushan 316021China Engineering Research Center of Oceanic Sensing Technology and Equipment of Ministry of Education Zhejiang UniversityZhoushan 316021China Department of Biomedical Engineering(BME) National University of SingaporeSingapore 119077Singapore Key Laboratory of Marine Geotechnical Engineering and Materials Zhoushan 316021China

Underwater minirobots have attracted significant interest due to their value in complex application *** underwater minirobots are driven mainly by a soft or rigid ***,soft actuation is currently facing challenges,including inadequate motional control accuracy and the lack of a continuous and steady driving force,while conventional rigid actuation has limited actuation efficiency,environmental adaptability,and motional flexibility,which severely limits the accomplishment of complicated underwater *** this study,we developed underwater minirobots actuated by a hybrid driving method(HDM)that combines combustion-based actuators and propeller thrusters to achieve accurate,fast,and flexible underwater locomotion *** experiments were conducted to investigate the kinematic performance of the minirobots with respect to the motion modes of rising,drifting,and *** models were used to investigate the kinematic characteristics of the minirobots,and theoretical models developed to unveil the mechanical principle that governs the driving *** agreement was obtained from comarisons of the experimental,numerical,and theoretical ***,the HDM was compared with selected hybrid driving technologies in terms of acceleration and response *** comparison showed that the minirobots based on HDM were generally superior in transient actuation ability and reliability.

关键词： Hybrid driving method(HDM) Underwater minirobots Operation reliability Transient actuation

Hydrodynamics of high-speed robots driven by the combustion-enabled transient driving method

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2022年第10期23卷 820-831页

作者： Yang YANG Yingzhong LOU Guanzheng LIN Zhiguo HE pengcheng jiao Hainan Institute Zhejiang UniversitySanya 572000China Institute of Port Coastal and Offshore EngineeringOcean CollegeZhejiang UniversityZhoushan 316021China Department of Civil and Environmental Engineering University of WashingtonSeatleWA98195USA Engineering Research Center of Oceanic Sensing Technology and Equipment of Ministry of Education Zhejiang UniversityZhoushan316021China Department of Electronic Engineering Faculty of EngineeringThe Chinese University of Hong KongHong Kong 999077China

Underwater vehicles play important roles in underwater observation, ocean resource exploration, and sample *** robots are a unique type of underwater vehicles due to their good environmental adaptability and motion flexibility, although they are weak in terms of actuation and response ability. The transient driving method(TDM) was developed to resolve these shortcomings. However, the interaction between the robots’ swift motions and flow fields has not yet been fully studied. In this study, a computational fluid dynamic model is developed to simulate the fluid fields disturbed by transient high-speed motions generated by the robots. Focusing on the dependence of robot dynamics on thrust force and eccentricity, typical structures of both flow and turbulence fields around the robots are obtained to quantitatively analyze robot kinematic performance, velocity distribution, vortex systems, surface pressure, and turbulence. The results demonstrate the high-speed regions at the robots’ heads and tails and the vortex systems due to sudden expansion, indicating a negative relationship between the maximum fluid velocity and eccentricity. The reported results provide useful information for studying the environmental interaction abilities of robots during operating acceleration and steering tasks.

关键词： Underwater vehicle Computational fluid dynamics(CFD) Robotics Transient driving method(TDM) Combustion actuation Hydrodynamics

Silicon nonlinear switch as a conditional circulator for monostatic LiDAR systems

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Photonics Research 2022年第2期10卷 426-432页

作者： Mingfei Ding Yiwei Xie Hao Yan Abu Naim R.Ahmed Reza Safian Swapnajit Chakravarty Leimeng Zhuang pengcheng jiao Huan Li Liu Liu Daoxin Dai Centre for Optical and Electromagnetic Research State Key Laboratory for Modern Optical InstrumentationZhejiang Provincial Key Laboratory for Sensing TechnologiesZhejiang UniversityZijingang CampusHangzhou 310058China Ningbo Research Institute Zhejiang UniversityNingbo 315100China imec USA Nanoelectronics Design CenterInc.KissimmeeFlorida 34744USA Ocean College Zhejiang UniversityZhoushan 316021China

All-optical silicon-photonics-based LiDAR systems allow for desirable features in scanning resolution and speed,as well as leverage other advantages such as size, weight, and cost. Implementing optical circulators in silicon photonics enables bidirectional use of the light path for both transmitters and receivers, which simplifies the system configuration and thereby promises low system cost. In this work, to the best of our knowledge, we present the first experimental verification of all-passive silicon photonics conditional circulators for monostatic LiDAR systems using a nonlinear switch. The proposed silicon nonlinear interferometer is realized by controlling signal power distribution with power-splitting circuits, allowing the LiDAR transmitter and receiver to share the same optical path. Unlike the traditional concept requiring a permanent magnet, the present device is implemented by using common silicon photonic waveguides and a standard foundry-compatible fabrication process. With several additional phase shifters, the demonstrated device exhibits considerable flexibility using a single chip, which can be more attractive for integration with photodetector arrays in LiDAR systems.

关键词： interferometer LiDAR nonlinear

Artificial intelligence in seismology:Advent,performance and future trends

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Geoscience Frontiers 2020年第3期11卷 739-744页

作者： pengcheng jiao Amir H.Alavi Ocean College Zhejiang UniversityZhoushanZhejiang 316021China Department of Civil and Environmental Engineering University of PittsburghPittsburghPA15261USA

Realistically predicting earthquake is critical for seismic risk assessment,prevention and safe design of major *** to the complex nature of seismic events,it is challengeable to efficiently identify the earthquake response and extract indicative features from the continuously detected seismic *** challenges severely impact the performance of traditional seismic prediction models and obstacle the development of seismology in *** their advantages in data analysis,artificial intelligence(AI) techniques have been utilized as powerful statistical tools to tackle these *** typically involves processing massive detected data with severe noise to enhance the seismic performance of *** extracting meaningful sensing data to unveiling seismic events that are below the detection level,AI assists in identifying unknown features to more accurately predicting the earthquake *** this focus paper,we provide an overview of the recent AI studies in seismology and evaluate the performance of the major AI techniques including machine learning and deep learning in seismic data ***,we envision the future direction of the AI methods in earthquake engineering which will involve deep learning-enhanced seismology in an internet-of-things(IoT) platform.

关键词： Seismology Artificial intelligence Machine learning Deep learning Internet-of-Things

Sub-nanosecond-speed frequency-reconfigurable photonic radio frequency switch using a silicon modulator

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Photonics Research 2020年第6期8卷 852-857页

作者： YIWEI XIE LEIMENG ZHUANG pengcheng jiao DAOXIN DAI Centre for Optical and Electromagnetic Research State Key Laboratory for Modern Optical InstrumentationZhejiang Provincial Key Laboratory for Sensing TechnologiesZhejiang UniversityHangzhou 310058China Institute of Port Coastal and Offshore EngineeringOcean CollegeZhejiang UniversityZhoushan 316021China Engineering Research Center of Oceanic Sensing Technology and Equipment Ministry of EducationZhejiang UniversityHangzhou 310000China

Radio frequency(RF)switches are essential for implementing routing of RF ***,the increasing demand for RF signal frequency and bandwidth is posing a challenge of switching speed to the conventional solutions,i.e,the capability of operating at a sub-.nanosecond speed or *** addition,signal frequency reconfigurability is also a desirable feature to facilitate new innovations of flexible system *** microwave photonics as an alter-native path,we present here a photonic implementation of an RF switch providing not only the capability of switching at a sub-nanosecond speed but also options of frequency doubling of the input RF signals,allowing for flexible output *** core device is a traveling wave silicon modulator with a device size of0.2 mm × 1.8 mm and a modu-lation bandwidth of 10 *** microwave frequencies,i.e.,15 GHz and 20 GHz,as two simultaneous RF input signals,we experimentally demonstrated their amplitude and frequency switching as well as that of the doubled frequencies,ie,30 GHz and 40 GHz,at a switching frequency of 5 *** results of this work point to a solution for creating high speed RF switches with high compactness and flexibility.

关键词： modulator microwave doubling

^(14)C Chronology and Circulation of Potassium-rich Brine in Lop Nur Playa,Xinjiang,Northwestern China

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Acta Geologica Sinica(English Edition) 2021年第4期95卷 1423-1425页

作者： LIU Chenglin jiao pengcheng ZHANG Hua DUAN Baoqian MNR Key Laboratory of Metallogeny and Mineral Assessment Institute of Mineral ResourcesChinese Academy of Geological SciencesBeijing 100037China Institute of Hydrogeology and Environmental Geology Chinese Academy of Geological SciencesShijiazhuang 050061China

Objective Lop Nur is one of the world’s largest Quaternary salt lakes and is currently a playa. In this lake, unique giant glauberite deposits occur, of which the intercrystalline pores host super-large liquid potash deposits. Recently, it has been thought that the potassium-rich brine was formed when the enormous quantity of glauberite deposited. To clarify this issue 14 C dating for brine is used to provide new evidence of chronology illustrating the relationship of potassium-rich brine with the host glauberite rock and improve our understanding of the formation mechanism of the brine in Lop Nur playa.

关键词： Xinjiang dating Quaternary