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Effect of titanium on the sticking of pellets based on hydrogen metallurgy shaft furnace:Behavior analysis and mechanism evolution

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International Journal of Minerals,Metallurgy and Materials 2024年第2期31卷 282-291页

作者： Jinge Feng Jue tang Zichuan Zhao Mansheng Chu aijun Zheng Xiaobing Li Xiao’ai Wang school of Metallurgy Northeastern UniversityShenyang 110819China institute for Frontier Technologies of Low-carbon Steelmaking Northeastern UniversityShenyang 110819China Liaoning Low-carbon Steelmaking technology engineering Research Center Northeastern UniversityShenyang 110819China engineering Research Center of Frontier Technologies for Low-carbon Steelmaking(Ministry of Education Shenyang 110819China Zhang Xuan technology of HBIS Group Co. Ltd.Shijiazhuang 050000China Xuanhua Iron and Steel Group Co. Ltd.Shijiazhuang 050000China Iron and Steel Research institute of HBIS Group Co. Ltd.Shijiazhuang 050000China

Direct reduction based on hydrogen metallurgical gas-based shaft furnace is a promising technology for the efficient and low-carbon smelting of vanadium-titanium ***,in this process,the sticking of pellets occurs due to the aggregation of metal-lic iron between the contact surfaces of adjacent pellets and has a serious negative effect on the continuous *** paper presents a detailed experimental study of the effect of TiO2 on the sticking behavior of pellets during direct reduction under different *** showed that the sticking index(SI)decreased linearly with the increasing TiO2 *** phenomenon can be attributed to the increase in unreduced FeTiO3 during reduction,leading to a decrease in the number and strength of metallic iron interconnections at the sticking *** the TiO2 addition amount was raised from 0 to 15wt%at 1100°C,the SI also increased from 0.71%to 59.91%.The connection of the slag phase could be attributed to the sticking at a low reduction temperature,corresponding to the low sticking ***,the interconnection of metallic iron became the dominant factor,and the SI increased sharply with the increase in re-duction ***2 had a greater effect on SI at a high reduction temperature than at a low reduction temperature.

关键词： titanium sticking index hydrogen metallurgy direct reduction pellets

Comparative Analysis of ARIMA and LSTM Model-Based Anomaly Detection for Unannotated Structural Health Monitoring Data in an Immersed Tunnel

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Computer Modeling in engineering & Sciences 2024年第5期139卷 1797-1827页

作者： Qing ai Hao Tian Hui Wang Qing Lang Xingchun huang Xinghong Jiang Qiang Jing school of Naval Architecture Ocean and Civil EngineeringShanghai Jiao Tong UniversityShanghai200240China Key Laboratory of Road and Bridge Detection and Maintenance technology of Zhejiang Province Hangzhou311305China Zhejiang Scientific Research institute of Transport Hangzhou310023China State Key Laboratory of Coal Mine Dynamics and Control Chongqing UniversityChongqing400044China Hong Kong-Zhuhai-Macao Bridge Authority Zhuhai519060China

Structural Health Monitoring(SHM)systems have become a crucial tool for the operational management of long *** immersed tunnels exposed to both traffic loads and the effects of the marine environment,efficiently identifying abnormal conditions from the extensive unannotated SHM data presents a significant *** study proposed amodel-based approach for anomaly detection and conducted validation and comparative analysis of two distinct temporal predictive models using SHM data from a real immersed ***,a dynamic predictive model-based anomaly detectionmethod is proposed,which utilizes a rolling time window for modeling to achieve dynamic *** the assumption of temporal data similarity,an interval prediction value deviation was employed to determine the abnormality of the ***,dynamic predictive models were constructed based on the Autoregressive Integrated Moving Average(ARIMA)and Long Short-Term Memory(LSTM)*** hyperparameters of these models were optimized and selected using monitoring data from the immersed tunnel,yielding viable static and dynamic predictive ***,the models were applied within the same segment of SHM data,to validate the effectiveness of the anomaly detection approach based on dynamic predictive modeling.A detailed comparative analysis discusses the discrepancies in temporal anomaly detection between the ARIMA-and LSTM-based *** results demonstrated that the dynamic predictive modelbased anomaly detection approach was effective for dealing with unannotated SHM *** a comparison between ARIMA and LSTM,it was found that ARIMA demonstrated higher modeling efficiency,rendering it suitable for short-term *** contrast,the LSTM model exhibited greater capacity to capture long-term performance trends and enhanced early warning capabilities,thereby resulting in superior overall performance.

关键词： Anomaly detection dynamic predictive model structural health monitoring immersed tunnel LSTM ARIMA

Digital Twins for Wastewater Treatment:A Technical Review

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engineering 2024年第5期36卷 21-35页

作者： ai-Jie Wang Hewen Li Zhejun He Yu Tao Hongcheng Wang Min Yang Dragan Savic Glen TDaigger Nanqi Ren school of civil and Environmental engineering Harbin Institute of Technology(Shenzhen)Shenzhen 518055China State Key Laboratory of Urban Water Resource and Environment Harbin Institute of TechnologyHarbin 150090China Department of civil and Environmental engineering Cornell UniversityIthacaNY 14850USA BIOMATH Department of Data Analysis and Mathematical ModellingGhent UniversityGhent 9000Belgium KWR Water Research institute Nieuwegein 3430 BBNetherlands Centre for Water Systems University of ExeterExeter EX44QFUK Department of civil and Environmental engineering University of MichiganAnn ArborMI 48109USA

The digital twins concept enhances modeling and simulation through the integration of real-time data and *** review elucidates the foundational elements of digital twins,covering their concept,entities,domains,and key *** specifically,we investigate the transformative potential of digital twins for the wastewater treatment engineering *** discussion highlights the application of digital twins to wastewater treatment plants(WWTPs)and sewage networks,hardware(i.e.,facilities and pipes,sensors for water quality and activated sludge,hydrodynamics,and power consumption),and software(i.e.,knowledge-based and data-driven models,mechanistic models,hybrid twins,control methods,and the Internet of Things).Furthermore,two cases are provided,followed by an assessment of current challenges in and perspectives on the application of digital twins in *** review serves as an essential primer for wastewater engineers navigating the digital paradigm shift.

关键词： Digital twins Urban water systems Wastewater treatment

Tuning interfacial charge transfer for efficient visible-light-driven photodegradation and simultaneous H_(2)evolution

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Journal of Materials Science & technology 2024年第1期168卷 35-49页

作者： Zhiyang Li Yaogang Chen Yinghe Zhang Wei ai Qian Lei Tingjun Yao Dan Zhong wenjie Liu wenbiao Jin Lei Yang State Key Laboratory of Urban Water Resource and Environment Shenzhen Key Laboratory of Organic Pollution Prevention and ControlSchool of Civil and Environmental EngineeringHarbin Institute of Technology ShenzhenShenzhen 518055China Key Laboratory of Northwest Water Resources Environment and EcologyMinistry of EducationSchool of Environmental and Municipal EngineeringXi’an University of Architecture and TechnologyXi’an 710055China CNAS Accredited Test Center Guangdong Engineering Technology Research Center of Air PurificationHealthlead Co.Ltd.Shenzhen 518055China school of Science Harbin Institute of Technology ShenzhenShenzhen 518055China

The edge-graphitized carbon nitride(C_(3)N_(4)-C g)was prepared by secondary pyrolysis to construct ZnO/C_(3)N_(4)-C g(ZCN)type-Ⅱheterojunction photocatalyst via a facile sonication dispersion method,which achieved∼7.04-fold and∼18.3-fold enhanced visible-light-driven photocatalytic performance for refrac-tory micropollutant removal and simultaneous hydrogen(H_(2))evolution respectively compared to con-ventional ZnO/g-C_(3)N_(4)Step-scheme *** apparent quantum efficiency of the ZCN_(0.4)het-erojunction reaches 0.92%(λ=420 nm).Such excellent performance stems from that the edge-graphene moieties stitched onto the interface of heterojunction extend light absorption to the full visible spec-trum,meanwhile,the built-in electric field generated during Fermi level alignment accompanying fa-vorable band-bending structure provides an effective pathway for the rapid migration of photoinduced electrons via the edge graphene channel to improve interfacial charge separation ***,the midgap states introduced in ZCN heterojunction could temporarily retain photoexcited electrons to effectively inhibit the in situ carrier recombination for improved photocatalytic H_(2)***,ZCN/peroxymonosulfate system exhibited excellent anti-interference performance against complex water bodies under visible illumination due to the synergistic effect between the co-existing anions and organic ***,the eco-friendly nature of the ZCN/peroxymonosulfate system showed no biotoxicity of reaction filtrate on cell proliferation after treatment,which avoided secondary ***-ering the outstanding performance in photocatalysis,the ZCN system exhibits broad potential for practical applications in water pollution control and green energy production.

关键词： ZnO C_(3)N_(4)-C g Heterojunction Photodegradation Hydrogen evolution

Multimodal Machine Learning Guides Low Carbon Aeration Strategies in Urban Wastewater Treatment

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engineering 2024年第5期36卷 51-62页

作者： Hong-Cheng Wang Yu-Qi Wang Xu Wang Wan-Xin Yin Ting-Chao Yu Chen-Hao Xue ai-Jie Wang State Key Laboratory of Urban Water Resource and Environment School of Civil and Environmental EngineeringHarbin Institute of Technology(Shenzhen)Shenzhen 518055China Key Laboratory of Drinking Water Safety and Distribution technology of Zhejiang Province College of Civil Engineering and ArchitectureZhejiang UniversityHangzhou 310058China

The potential for reducing greenhouse gas(GHG)emissions and energy consumption in wastewater treatment can be realized through intelligent control,with machine learning(ML)and multimodality emerging as a promising ***,we introduce an ML technique based on multimodal strategies,focusing specifically on intelligent aeration control in wastewater treatment plants(WWTPs).The generalization of the multimodal strategy is demonstrated on eight ML *** results demonstrate that this multimodal strategy significantly enhances model indicators for ML in environmental science and the efficiency of aeration control,exhibiting exceptional performance and *** random forest with visual models achieves the highest accuracy in forecasting aeration quantity in multimodal models,with a mean absolute percentage error of 4.4%and a coefficient of determination of *** testing in a full-scale plant reveals that the multimodal model can reduce operation costs by 19.8%compared to traditional fuzzy control *** potential application of these strategies in critical water science domains is *** foster accessibility and promote widespread adoption,the multimodal ML models are freely available on GitHub,thereby eliminating technical barriers and encouraging the application of artificial intelligence in urban wastewater treatment.

关键词： Wastewater treatment Multimodal machine learning Deep learning Aeration control Interpretable machine learning

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基于地震勘探的海洋工程地质勘察

世界地震工程 2002年第3期18卷 64-68页

作者：汤爱平哈尔滨工业大学土木工程学院黑龙江哈尔滨150090

海洋工程灾害荷载作用下的安全性成为当今海洋科学研究的重点内容之一。海洋工程的工程地质参数是海洋工程设计最基本的资料,本文的研究目的是探讨一种获取近海海洋工程的工程地质资料的简单、快捷的方法,以降低海洋工程地质勘察高费用... 详细信息

海洋工程灾害荷载作用下的安全性成为当今海洋科学研究的重点内容之一。海洋工程的工程地质参数是海洋工程设计最基本的资料,本文的研究目的是探讨一种获取近海海洋工程的工程地质资料的简单、快捷的方法,以降低海洋工程地质勘察高费用,缩短获取资料的周期。本文采用的方法是利用获取的人工地震和天然地震信息应用波动方程方法来反演近海海洋工程所需的地层结构参数和相关的岩土力学参数。主要研究内容包括六个方面:1）海洋三维地震勘探的几个技术难点;2）利用小波变换技术的地震信息叠前处理优化算法;3）利用面波信息的近海海洋地层结构的波动方程反演算法和算法优化;4）利用P、S波信息的组成地层的岩土力学参数反演算法和算法优化。本文研究成果将大大减少近海海洋工程地质勘察的费用,缩短勘察周期,从而提高勘察的效益。

关键词：海洋工程地震勘探灾害荷载作用安全性小波变换

Design,synthesis,and biological evaluation of 1,2,4-triazole derivatives as potent antitubercular agents

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Chinese Chemical Letters 2024年第3期35卷 326-331页

作者： Yu wen Shichun Lun Yuxue Jiao Wei Zhang Tianyu Hu Ting Liu Fan Yang Jie tang Bing Zhang William R.Bishai Li-Fang Yu Shanghai engineering Research Center of Molecular Therapeutics and New Drug Development School of Chemistry and Molecular EngineeringEast China Normal UniversityShanghai 200062China Center for Tuberculosis Research Department of MedicineDivision of Infectious DiseaseJohns Hopkins School of MedicineBaltimoreMD21231-1044United States Shanghai institute for Advanced Immunochemical Studies and school of Life Science and technology ShanghaiTech UniversityShanghai 201210China Shanghai Key Laboratory of Green Chemistry and Chemical Process School of Chemistry and Molecular EngineeringEast China Normal UniversityShanghai 200062China

Inhibition of mycobacterial membrane protein large 3(MmpL3)thereby affecting the mycolic acid biosynthetic pathway has been proven to be an effective strategy for developing antitubercular *** on the X-ray crystal structure of MmpL3 inhibitor complexes,a series of novel 1,2,4-triazole derivatives were designed,synthesized and evaluated antitubercular activity against Mtb strain *** structure–activity relationship exploration resulted in the identification of compounds 21 and 28,which possess potent antitubercular activity against Mtb strain H37Rv[minimum inhibitory concentration(MIC)=0.03–0.13μg/mL]and the clinical isolates of multidrug resistance(MDR)and extensive drug resistance(XDR)tuberculosis(MIC=0.06–1.0μg/mL).Moreover,compounds 21 and 28 showed neglectable cytotoxicity(IC_(50)≥32μg/mL)to the mammalian Vero cells and favorable physicochemical and pharmacokinetic properties according to the in silico absorption,distribution,metabolism and excretion(ADME)***,the potential target of representative 1,2,4-triazole 28 was identified to be MmpL3 using a microscale thermophoresis(MST)assay.

关键词： Tuberculosis MDR and XDR-TB MmpL3 inhibitor 1 2 4-Triazole Structure-based drug design

TC21合金在不同温度下进行连续多步置氢处理时的显微组织及室温力学性能

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Transactions of Nonferrous Metals Society of china 2024年第5期34卷 1520-1532页

作者：袁宝国钱德国张小雪陈强汤爱闯合肥工业大学材料科学与工程学院合肥230009 安徽三联学院机械工程学院合肥230601 西南技术工程研究所重庆400039

利用OM、XRD、TEM以及压缩试验等方法研究TC21钛合金经不同温度连续多步置氢处理后的显微组织及室温力学性能。结果表明:当氢处理温度超过1073 K时,α相的尺寸明显降低,β相成为主要相。随着氢处理温度的升高,δ氢化物的含量呈先增加后... 详细信息

利用OM、XRD、TEM以及压缩试验等方法研究TC21钛合金经不同温度连续多步置氢处理后的显微组织及室温力学性能。结果表明:当氢处理温度超过1073 K时,α相的尺寸明显降低,β相成为主要相。随着氢处理温度的升高,δ氢化物的含量呈先增加后逐渐降低的趋势。当氢处理温度超过1073 K时,TC21钛合金在室温压缩变形过程中出现应变软化现象,且该现象随氢处理温度的升高而越来越显著。随着氢处理温度的升高,TC21钛合金的极限变形率呈先降低后增加的趋势。当氢处理温度为1123 K时,TC21钛合金的极限变形率比原始合金增加67.51%。

关键词： TC21合金连续多步置氢处理室温力学性能压力-组成等温线

基于改进运动原语生成的陆空两栖机器人Kinodynamic A^(*)算法

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北京理工大学学报 2024年第2期44卷 189-199页

作者：徐彬孙恒飞唐寿星王雨桐张旺旺艾田付北京理工大学机械与车辆学院北京100081 北京理工大学重庆创新中心重庆401135

针对Kinodynamic A^(*)算法采用统一的运动原语生成,在陆空两栖机器人上应用时存在机动性无法充分发挥等问题,提出了基于改进运动原语生成的陆空两栖机器人Kinodynamic A^(*)算法。该算法从考虑陆、空模态运动能力差异出发,通过以下三... 详细信息

针对Kinodynamic A^(*)算法采用统一的运动原语生成,在陆空两栖机器人上应用时存在机动性无法充分发挥等问题,提出了基于改进运动原语生成的陆空两栖机器人Kinodynamic A^(*)算法。该算法从考虑陆、空模态运动能力差异出发,通过以下三个方法改进陆空两栖机器人Kinodynamic A^(*)算法性能。首先是基于动力边界决定状态空间加速度输入,差异化生成陆、空模态运动原语;其次是基于动力学约束剪枝,确保运动原语不超过速度边界;最后是构造轨迹优化代价函数优化轨迹平顺性、安全性及机动性。在仿真场景下的结果表明,所改进的算法在将空中平均速度提高了54.1%,平均路径总时间降低6.7 s,路径总代价降低22.00%,且算法运行时间降低0.069 s,充分发挥陆空两栖机器人上的强机动能力与高续航能力。

关键词：陆空两栖机器人路径规划 Kinodynamic A^(*) 运动原语轨迹优化