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Self-powered wireless environmental monitoring system for in-service bridges by galloping piezoelectric-triboelectric hybridized energy harvester

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Science China(Technological Sciences) 2024年第5期67卷 1498-1509页

作者： HUANG KangXu WANG XiaoFei WANG Li zhou yuhui LIU FuHai CHANG ShiYuan ZHU JunTao zhou YuXuan ZHANG He LUO JiKui College of Civil Engineering and Architecture Zhejiang UniversityHangzhou310058China Anhui Transport Consulting&Design Institute Co. Ltd.Hefei230088China College of Electronics&Information Hangzhou Dianzi UniversityHangzhou310018China Center for Balance Architecture Zhejiang UniversityHangzhou310058China College of Information Science&Electronic Engineering Zhejiang UniversityHangzhou310027China

The energy harvesting technology for the ubiquitous natural wind enables a desirable solution to the issue of distributed sensors in the bridge environmental sensing Internet of Things(Io T)system being restricted to conventional energy supply.In this work,a self-powered system based on a compact galloping piezoelectric-triboelectric energy harvester(GPTEH)is developed to achieve efficient wind energy harvesting.The GPTEH is constructed on the prototype of a cantilever structure with piezoelectric macro-fiber composite(MFC)sheets and a rectangular bluff body with triboelectric nanogenerators(TENGs).Through a special swing-type structural design with iron blocks inside the bluff body,the GPTEH exhibits preferable aerodynamic behavior and excellent energy conversion efficiency,compared to conventional cantilever kind of piezoelectric wind energy harvester(PWEH).The GPTEH also demonstrates the capability of high output power density(PEH of 23.65 W m^(-2)and TENG of 1.59 W m^(-2)),superior response wind speed(about 0.5 m s^(-1)),and excellent long-term stability(over 14000 cyclic tests).Furthermore,a power management system is developed to efficiently utilize the output energy from GPTEH to power the sensors and wirelessly transmit environmental data to the terminals.The proposed GPTEH-powered system exhibits a great potential for the bridge environmental monitoring and Io T technologies.

关键词： self-powered hybrid nanogenerator triboelectric nanogenerator macro-fiber composite wireless environmental monitoring system

AI-based modeling and data-driven identification of moving load on continuous beams

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Fundamental Research 2023年第5期3卷 796-803页

作者： He Zhang yuhui zhou College of Civil Engineering and Architecture Zhejiang UniversityHangzhou 310058China Center for Balance Architecture Zhejiang UniversityHangzhou 310058China

Traffic load identification for bridges is of great significance for overloaded vehicle control as well as the structural management and maintenance in bridge engineering.Unlike the conventional load identification methods that always encounter problems of ill-condition and difficulties in identifying multi parameters simultaneously when solving the motion equations inversely,a novel strategy is proposed based on smart sensing combing intelligent algorithm for real-time traffic load monitoring.An array of lead zirconium titanate sensors is applied to capture the dynamic responses of a beam bridge,while the Long Short-Term Memory(LSTM)neural network is employed to establish the mapping relations between the dynamic responses of the bridge and the traffic load through data mining.The results reveal that,with the real-time strain responses fed into the LSTM network,the speed and magnitude of the moving load may be identified simultaneously with high accuracy when compared to the practically applied load.The current method may facilitate highly efficient identification of the time-varying characteristics of moving loads and may provide a useful tool for long-term traffic load monitoring and traffic control for in-service bridges.

关键词： Traffic load identification PZT sensor array Long Short-Term Memory Time-varying characteristic Data-driven method

Numerical Simulation of Two-Phase Flow in Glutenite Reservoirs for Optimized Deployment in Horizontal Wells

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Fluid Dynamics & Materials Processing 2023年第1期19卷 245-259页

作者： yuhui zhou Shichang Ju Qijun Lyu Hongfei Chen Xuebiao Du Aiping Zheng Wenshun Chen Ning Li School of Petroleum Engineering Yangtze UniversityWuhan430100China Key Laboratory of Drilling and Production Engineering for Oil and Gas Wuhan430100China Western Research Institute Yangtze UniversityKaramay834000China Heavy Oil Company Xinjiang Oilfield Company of CNPCKaramay834000China

It is known that the pore media characteristics of glutenite reservoirs are different from those of conventional sandstone reservoirs.Low reservoir permeability and naturally developed microfractures make water injection in this kind of reservoir very difficult.In this study,new exploitation methods are explored.Using a real glutenite reservoir as a basis,a three-dimensional fine geological model is elaborated.Then,combining the model with reservoir performance information,and through a historical fitting analysis,the saturation abundance distribution of remaining oil in the reservoir is determined.It is shown that,using this information,predictions can be made about whether the considered reservoir is suitable for horizontal well fracturing or not.The direction,well length,well spacing and productivity of horizontal well are also obtained.

关键词： Glutenite reservoir horizontal well reservoir numerical simulation residual oil optimal deployment

Optimization of the Plugging Agent Dosage for High Temperature Salt Profile Control in Heavy Oil Reservoirs

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Fluid Dynamics & Materials Processing 2023年第2期19卷 421-436页

作者： Jiayu Ruan Mingjing Lu Wei Zhang Yuxi Zhang yuhui zhou Jie Gong Fan Wang Yuanxiao Guan School of Petroleum Engineering Yangtze UniversityWuhan430000China Petroleum Engineering Technology Research Institute of Shengli Oilfield SINOPECDongying257067China Postdoctoral Scientific Research Working Station of Shengli Oilfield SINOPECDongying257067China Petro China Changqing Oilfield Branch No.1 Gas Production Plant Yan’an716000China

After steam discharge in heavy oil reservoirs,the distribution of temperature,pressure,and permeability in different wells becomes irregular.Flow channels can easily be produced,which affect the sweep efficiency of the oil displacement.Previous studies have shown that the salting-out plugging method can effectively block these channels in high-temperature reservoirs,improve the suction profile,and increase oil production.In the present study,the optimal dosage of the plugging agent is determined taking into account connection transmissibility and inter-well volumes.Together with the connectivity model,a water flooding simulation model is introduced.Moreover,a non-gradient stochastic disturbance algorithm is used to obtain the optimal plugging agent dosage,which provides the basis for the high-temperature salting-out plugging agent adjustment in the field.

关键词： Heavy oil salting out profile control high temperature plugging agent dosage optimization numerical simulation connectivity model

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染料与助剂的法律规范与企业责任

染整技术 2024年第1期46卷 46-48页

作者：周宇慧贵州大学法学院贵州贵阳550025

在染整行业,染料与助剂的使用受到国家法律法规、环保标准以及安全生产法规等多个方面的约束。企业在使用染料与助剂时需履行相应的责任,包括合规经营、产品安全和环境保护等方面的责任。深入研究染料与助剂的法律规范和企业责任可以更... 详细信息

在染整行业,染料与助剂的使用受到国家法律法规、环保标准以及安全生产法规等多个方面的约束。企业在使用染料与助剂时需履行相应的责任,包括合规经营、产品安全和环境保护等方面的责任。深入研究染料与助剂的法律规范和企业责任可以更好地理解行业的法律环境和企业应承担的责任,为行业的可持续发展提供理论支持和实践指导。

关键词：染料助剂法律规范企业责任

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基于特征模式识别的农田监控系统研究

中国农机装备 2024年第4期 2-5页

作者：周育辉孙滨江西生物科技职业学院南昌330200 泰山职业技术学院泰安271000

针对农田监控系统中存在的识别准确度不高、数据处理效率低等问题,提出了一种基于特征模式识别的农田监控系统。对农田监控系统的功能进行了设计,包括系统整体架构设计、数据采集与传输模块设计、特征提取与模式识别算法设计,结合用户... 详细信息

针对农田监控系统中存在的识别准确度不高、数据处理效率低等问题,提出了一种基于特征模式识别的农田监控系统。对农田监控系统的功能进行了设计,包括系统整体架构设计、数据采集与传输模块设计、特征提取与模式识别算法设计,结合用户界面设计实验与结果分析,验证了所提出系统的有效性和性能优势。对农田监控系统在实际农业生产中的应用前景进行了展望,并提出了未来改进方向和研究趋势。

关键词：特征模式识别农田监控系统数据处理识别准确度改进方向

中国境外经贸合作区的贸易效应研究——基于事前与事后的双重维度检验

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福州大学学报（哲学社会科学版） 2024年第1期38卷 58-68页

作者：蔡乌赶邱溢梅周瑜辉福州大学经济与管理学院福建福州350108

境外经贸合作区作为联通中外企业的重要载体和集聚平台,对拉动中国贸易增长至关重要。选取2004—2020年跨国面板数据,采用多期DID模型研究境外经贸合作区对中国贸易规模的事后影响,并运用GTAP模型对中国境外经贸合作区的贸易效应进行事... 详细信息

境外经贸合作区作为联通中外企业的重要载体和集聚平台,对拉动中国贸易增长至关重要。选取2004—2020年跨国面板数据,采用多期DID模型研究境外经贸合作区对中国贸易规模的事后影响,并运用GTAP模型对中国境外经贸合作区的贸易效应进行事前预测。研究结果显示:境外经贸合作区显著推动了中国贸易规模增长,且主要通过就业创造效应、制度优化效应与产业集聚效应提升中国贸易规模。境外经贸合作区不仅有助于扩大中国贸易规模、优化贸易结构与贸易条件,还将通过提升经济增长速度、改善居民福利水平和增加总产出间接推动中国贸易发展。

关键词：中国境外经贸合作区贸易效应多期DID模型 GTAP模型

A real-time sensing system based on triboelectric nanogenerator for dynamic response of bridges

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Science China(Technological Sciences) 2022年第11期65卷 2723-2733页

作者： ZHANG He HUANG KangXu zhou yuhui SUN LiangFeng ZHANG ZhiCheng LUO JiKui College of Civil Engineering and Architecture Zhejiang UniversityHangzhou 310058China Center for Balance Architecture Zhejiang UniversityHangzhou 310058China The Architectural Design&Research Institute of Zhejiang University Co.Ltd. Hangzhou 310063China College of Information Science&Electronic Enginering Zhejiang UniversityHangzhou 310027China

The strain of bridges under traffic loads is time-varying and of small amplitude(~10^(-6)),which is a type of cumulative response and needs long-term continuous monitoring.To precisely capture the time-varying responses,a dynamic strain triboelectric nanogenerator(TENG)sensor with superior response capability,sensitivity,self-powered,and long-term stability is proposed in this paper.An analytical correlation between the structural strain response signal and the detected electrical signal is established for long-term continuous quantitative strain measurements based on the principles of contact electrification and electrostatic induction.A series of experiments are conducted to investigate the output performance of the proposed lateral-sliding mode TENG sensors.The results reveal that,with the loading condition with frequencies lower than 10 Hz,the time-varying strain responses of the steel bridge within the range of 3 to 150 microstrains can also be detected with high precision of 0.1 microstrains.And it achieves long-term stability after 10000 loading cycles compared with commercial sensors.The proposed novel sensing theory and method based on TENG technology can be applied as a new alternative approach for monitoring realtime structural strain information quantitatively with general applicability and feasibility for bridges.

关键词： triboelectric nanogenerator self-driven sensing quantitative sensing theory V-Q-εmodel dynamic strain monitoring of civil infrastructures

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沥青基铺装材料实验设计方法应用进展

上海公路 2024年第1期 126-133,159,M0008页

作者：丁鹤洋丛林龚红仁周愉惠赵红艳同济大学道路与交通工程教育部重点实验室上海201804 石河子大学水利建筑工程学院新疆石河子832003

首先,梳理了实验设计的基本流程和关键环节,阐述并对比了常规实验的组织方法和高通量实验设计的实施原理和差异优势。其次,解释了方差分析和统计回归分析处理实验数据时的方法原理和实施流程,并着重探讨了机器学习在实验数据分析中的技... 详细信息

首先,梳理了实验设计的基本流程和关键环节,阐述并对比了常规实验的组织方法和高通量实验设计的实施原理和差异优势。其次,解释了方差分析和统计回归分析处理实验数据时的方法原理和实施流程,并着重探讨了机器学习在实验数据分析中的技术优势。全面总结了实验设计方法在性能关键因素筛选、材料最优化设计和材料性能预测中的典型应用。最后,从实验组织方法、数据分析方法和实践应用目的角度,展望了实验设计在沥青基铺装材料研究中的未来发展方向。相关工作可为研究人员科学运用实验设计的方法提供必要参考,并促进沥青基铺装材料设计思想由知识经验型转向数据驱动型。

关键词：道路工程实验设计沥青基材料机器学习数据驱动设计