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Enhanced wear prediction of tunnel boring machine disc cutters for accurate remaining useful life estimation using a hybrid model

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Frontiers of Structural and civil {1. 2024年第4期18卷 642-662页

作者： Xinghai ZHOU Yakun ZHANG Guofang GONG Huayong YANG Qiaosong CHEN Yuxi CHEN Zhixue SU The State Key Laboratory of Fluid Power&Mechatronic Systems Zhejiang UniversityHangzhou 310027China Guangzhou Rail Transit Construction engineering Consulting Co. Ltd.Guangzhou 510000China China Railway engineering Equipment Group Co. Ltd.Zhengzhou 450016China

In tunnel construction with tunnel boring machines(TBMs),accurate prediction of the remaining useful life(RUL)of disc cutters is critical for timely maintenance and replacement to avoid delays and cost *** paper introduces a novel hybrid model,integrating fundamental and data-driven approaches,to enhance wear prediction of TBM disc cutters and enable accurate RUL *** fundamental model is improved by incorporating composite wear mechanisms and load estimation techniques,showcasing superior prediction accuracy compared to single-mechanism ***,the hybrid model innovatively incorporates a data-driven supplementary residual term into the improved fundamental model,leading to a high-performance wear prediction *** actual field data from a highway tunnel project in Shenzhen,the performance of the hybrid model is rigorously tested and compared with pure fundamental and data-driven *** hybrid model outperforms the other models,achieving the highest accuracy in predicting TBM disc cutter wear(mean absolute error(MAE)=0.53,root mean square error(RMSE)=0.64).Furthermore,this study thoroughly analyzes the hybrid model’s generalization capability,revealing significant impacts of geological conditions on prediction *** model’s generalization capability is also improved by expanding and updating the data *** RUL estimation results provided by the hybrid model are straightforward and effective,making it a valuable tool by which construction staff can monitor TBM disc cutters.

关键词： tunnel boring machine disc cutter wear prediction remaining useful life field data hybrid model

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Frontiers in high entropy alloys and high entropy functional materials

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Rare Metals 2024年第10期43卷 4639-4776页

作者： Wen-Tao Zhang Wen Huang Fu-Jie Yu Qi Zhao Xin-Dong Zhu Tao Feng Yao Jiang Xiao-Ming Li Xue-Fei Miao He Zhu Si Lan Xue-Qian Wang Bao-Long Shen Zhe Jia Feng-Qi Zhang Wei Wang Qi Liu Yang Ren Xun-Li Wang Xiao-Ya Cui Xiao-Yang Wang Ya-Nan Chen Bing-Bing Fan Meng-Ru Li Qi-Long Gao Jia-Ming Guo Zeng-Bao Jiao Zhi-Min Guo Yu-Ping Zhao Qian Yu Rui Huang Ling-Kun Zhang Yi-Ping Lu Xu-Bo Li Huai-Jun Lin Yan Ma Wei-Ming Yang Zhi-Hua Shen Hai-Yan He Yong-Gang Sun Yong-Jiang Huang De-Zhuang Wang Qing-Feng Liu Fei-Yang Wang Hui Liu Hong-Hui Wu Li-Qiang Wang Yang Lu Nan Wang Tian-Li Wang Wei-Bing Liao Yi-Han Wang Yuan Wu Yu-Zhen Yin Jie Pan Yi Zhang Qing Wang Jian-Yang Zhang Tao Yang Yasir Sohail Jin-Yu Zhang Hua Ji Qiang Li Wei-Di Liu Zhi-Gang Chen Xiong-Jun Liu Wen Ma Liang Mao Zhen-Duo Wu School of Materials Science and engineering Nanjing University of Science and Technology Jiangsu Key Laboratory for Advanced Metallic Materials School of Materials Science and Engineering Southeast University department of Physics City University of Hong Kong School of Materials Science and engineering Tianjin University School of Physics and Microelectronics Zhengzhou University department of Mechanical {1. Research Institute for Advanced Manufacturing The Hong Kong Polytechnic University Center of Electron Microscopy and State Key Laboratory of Silicon Materials School of Materials Science and Engineering Zhejiang University Key Laboratory of Solidification Control and Digital Preparation Technology (Liaoning Province) School of Materials Science and Engineering Dalian University of Technology Institute of Advanced Wear & Corrosion Resistance and Functional Materials Jinan University School of Mechanics and civil {1. China University of Mining and Technology School of Physical Sciences Great Bay University School of Materials Science andengineering Harbin Institute of Technology State Key Laboratory of Materials-Oriented Chemical engineering College of Chemical Engineering Nanjing Tech University Beijing Advanced Innovation Center for Materials Genome engineering Research Institute for Carbon Neutrality University of Science and Technology Beijing department of Mechanical {1. The University of Hong Kong School of Computing Macquarie University Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province College of Physics and Optoelectronic Engineering Shenzhen University State Key Laboratory for Advanced Metals and Materials University of Science and Technology Beijing State Key Laboratory of Materials Processing and Die & Mould Technology School of Materials Science and Engineering Huazhong University of Science and Technology Institute of materials Shanghai University department of Materials Science and {1. C

Owing to their exceptional properties, high-entropy alloys(HEAs) and high-entropy materials have emerged as promising research areas and shown diverse applications. Here,the recent advances in the field are comprehensively reviewed,organized into five sections. The first section introduces the background of HEAs, covering their definition, significance,application prospects, basic properties, design principles, and microstructure. The subsequent section focuses on cutting-edge high-entropy structural materials, highlighting developments such as nanostructured alloys, grain boundary engineering,eutectic systems, cryogenic alloys, thin films, micro-nano-lattice structures, additive manufacturing, high entropy metallic glasses, nano-precipitate strengthened alloys, composition modulation, alloy fibers, and refractory systems. In the following section, the emphasis shifts to functional materials, exploring HEAs as catalysts, magneto-caloric materials, corrosion-resistant alloys, radiation-resistant alloys, hydrogen storage systems, and materials for biomedicine. Additionally, the review encompasses functional high-entropy materials outside the realm of alloys, including thermoelectric, quantum dots, nanooxide catalysts, energy storage materials, negative thermal expansion ceramics,and high-entropy wave absorption materials. The paper concludes with an outlook, discussing future directions and potential growth areas in the field. Through this comprehensive review,researchers, engineers, and scientists may gain valuable insights into the recent progress and opportunities for further exploration in the exciting domains of high-entropy alloys and functional materials.

关键词： Cutting-edge structural materials Cutting-edgefunctional materials High entropy alloys

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Laboratory Evaluation of Performance Recovery of Aged SBS-modified Asphalt Using Regenerants with Different Base Oil Components

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China Petroleum Processing & Petrochemical Technology 2024年第2期26卷 98-107页

作者： Li Hongzhen Li Shengbin Feng Zhuangzhuang Jiang Mengmeng Li Ning Dong Fuqiang Shandong Yimeng Traffic Development Group Co. Ltd.Zibo 276004China College of civil and Transportation {1. Hohai UniversityNanjing 210098China

In this study,the regenerative effects of different regenerants on aged SBS-modified asphalt from different perspectives were investigated,including their conventional properties,viscoelastic behavior,creep-related properties,and *** oils composed of different proportions of aromatic and saturated hydrocarbons as well as the styrene-butadiene-styrene(SBS)restorer were used to prepare the *** results showed that the components of the base oil of the regenerant played a crucial role in determining the characteristics and performance of the recycled SBSmodified *** containing a high proportion of aromatics dissolved the hard segment in the SBS restorer,thereby delaying the effect of a reduction in the regenerants on the performance of the aged asphalts at a high *** containing a high proportion of saturates dissolved the soft segment in the SBS restorer to enhance the lowtemperature performance of the recycled *** addition,the stress sensitivity of the recycled asphalts increased with the fraction of aromatics in the *** the aromatic content of the base oil components of the regenerants increased and their saturate content decreased,the state of dispersion of the SBS phase in the recycled SBS-modified asphalts *** optimal content of aromatics in the base oil of the regenerants should be set in the range of 33%to 47%to ensure the adequate performance of the recycled asphalts and a high efficiency of the SBS restorer.

关键词： aged SBS-modified asphalt regeneration mechanisms base oil rheological properties morphology

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多模态机器学习策略控制城市污水处理厂低碳智能曝气（英文）

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engineering 2024年第5期 51-62页

作者：王鸿程王煜琪王旭殷万欣俞亭超薛辰豪王爱杰 State Key Laboratory of Urban Water Resource and Environment School of Civil and Environmental Engineering Harbin Institute of Technology (Shenzhen) Key Laboratory of Drinking Water Safety and Distribution Technology of zhejiang Province College of Civil Engineering and Architecture Zhejiang University

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 solution. Here, 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 models. The 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 0.948. Practical testing in a full-scale plant reveals that the multimodal model can reduce operation costs by 1..8% compared to traditional fuzzy control methods. The potential application of these strategies in critical water science domains is discussed. To foster accessibility and promote widespread adoption, the multimodal ML models are freely available on Git Hub, thereby eliminating technical barriers and encouraging the application of artificial intelligence in urban wastewater treatment.

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Effects of the urban landscape on heatwave-mortality associations in Hong Kong: comparison of different heatwave definitions

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Frontiers of Environmental Science & engineering 2024年第1期18卷 145-156页

作者： Jinglu Song Yi Lu Thomas Fischer Kejia Hu department of Urban Planning and Design Xi’an Jiaotong-Liverpool UniversitySuzhou 215123China department of Architecture and {1. engineering City University of Hong KongKowloon TongHong Kong 999077China Environmental Assessment and Management Research Centre School of Environmental SciencesUniversity of LiverpoolLiverpool L35TRUK Research Unit for Environmental Sciences and Management Faculty of Natural and Agricultural SciencesNorth West UniversityPotchefstroom 31750South Africa Institute of Big Data in Health Science School of Public HealthZhejiang UniversityZijingang CampusHangzhou 310058China

Despite increased attention given to potential modifiers of temperature-mortality associations, evidence for variations between different urban landscape characteristics remains limited. It is in this context that in this paper effect modifications of multiple urban landscape characteristics are explored under different heatwave definitions for different age groups and gender in Hong Kong, China. Daily meteorological data and heatwave-related mortality counts from 2008 to 201. were collected from the Hong Kong Census and Statistics department, China. A case-only design was adopted, combined with logistic regression models to examine the modification effects of five urban landscape characteristics under six heatwave definitions. Stratified analyses were conducted to investigate age- and gender-specific effect modifications. It is found that individuals living in greener areas experienced lower levels of mortality during or immediately after heatwaves. In contrast, a higher building density and nighttime land surface temperature (LST) were associated with a higher heatwave-related mortality risk. Pronounced effect modifications of these urban landscape characteristics were observed under hotter and longer heatwaves, and in older adults (age ≥ 65 years) and males. The findings provide a scientific basis for policymakers and practitioners when considering measures for coping with hotter, longer, and more frequent heatwaves in the context of global climate change.

关键词： Urban landscape Heatwave Mortality Effect modification Intra-urban differences Health risk reduction

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The reflection and transmission of elastic waves at a interface between a transversely isotropi celastic soils and saturated soils

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Acta Seismologica Sinica(English Edition) 1998年第6期11卷 45-55页

作者： YA YUAN HU LI ZHONG WANG YUN MIN CHEN SHI MING WU The civil {1. department of zhejiang university, Hangzhou 31.027, China 1. the civil engineering departmen of zhejiang university 310027 Hangzhou China

According to Biot′s wave equation of transversely isotropic saturated soil, this paper deduces the general equation of the reflection coefficients and transmission coefficients when qP 1.wave goes through from saturated soil to elastic media. The effects of anisotropies and boundary drainage condition on reflection coefficients and transmission coefficients are analyzed by numerical method. The idea of this paper can be applied to the case when qSV wave or qP 2 wave goes through from saturated soils to elastic soils.

关键词： transversely isotropy saturated soils transversely isotropy elastic soils reflection coefficient transmission coefficient

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The MatHub-3d first-principles repository and the applications on thermoelectrics

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Materials Genome engineering Advances 2024年第1期2卷 1-20页

作者： Lu Liu Mingjia Yao Yuxiang Wang Yeqing Jin Jialin Ji Huifang Luo Yan Cao Yifei Xiong Ye Sheng Xin Li Di Qiu Lili Xi Jinyang Xi Wenqing Zhang Lidong Chen Jiong Yang Materials Genome Institute Shanghai UniversityShanghaiChina Suzhou Laboratory SuzhouJiangsuChina College of Biological Chemical Sciences and EngineeringJiaxing UniversityJiaxingZhejiangChina College of civil {1. and Architecture Zhejiang UniversityHangzhouZhejiangChina Smart Materials for Architecture Research Lab Innovation Center of Yangtze River DeltaZhejiang UniversityJiaxingZhejiangChina State Key Laboratory of High Performance Ceramics and Superfine Microstructure Shanghai Institute of CeramicsChinese Academy of SciencesShanghaiChina Center of Materials Science and Optopelectronics engineering University of Chinese Academy of SciencesBeijingChina department of Materials Science and {1. Southern University of Science and TechnologyShenzhenGuangdongChina zhejiang Laboratory HangzhouZhejiangChina

Following the Materials Genome Initiative project,materials research has embarked a new research paradigm centered around material repositories,significantly accelerating the discovery of novel materials,such as *** materials,capable of directly converting heat into electricity,are garnering increasing attention in applications like waste heat recovery and *** facilitate research in this emerging paradigm,we have established the Materials Hub with Three-Dimensional Structures(MatHub-3d)repository,which serves as the foundation for high-throughput(HTP)calculations,property analysis,and the design of thermoelectric *** this review,we summarize recent advancements in thermoelectric materials powered by the MatHub-3d,specifically HTP calculations of transport properties and material design on key *** HTP calculations,we develop the electrical transport package for HTP purpose,and utilize it for materials *** some works,we investigate the relationship between transport properties and chemical bonds for particular types of thermoelectric compounds based on HTP results,enhancing the fundamental understanding about interested *** our work associated with material design,we primarily utilize key factors beyond transport properties to further expedite materials screening and speedily identify specific materials for further theoretical/experimental ***,we discuss the future developments of the MatHub-3d and the evolving directions of database-driven thermoelectric research.

关键词： high-throughput calculations key factors material design MatHub-3d thermoelectrics

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Volatile Organic Compounds (VOCs) in China: Progress and Prospects of Research on Treatment Technologies and Policy Provisions

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Journal of Materials Science and Chemical engineering 2024年第9期12卷 1-43页

作者： Lixia Wu Yu Zhu Jing Yuan Xiaozhong Guo Qianfeng Zhang Institute of Molecular engineering and Applied Chemistry Anhui University of Technology Maanshan China zhejiang Shengxiao Environmental Protection Technology Co Quzhou China department of {1. engineering Tongling University Tonglin China department of {1. engineering Manitoba University Winnipeg Canada Spatial Information Acquisition and Application Joint Laboratory of Anhui Province Tongling China

Volatile organic compounds (VOCs) are an atmospheric pollutant with a boiling point of 50˚C - 260˚C at room temperature and pressure. They are precursors of sulfur dioxide and ozone, which can seriously pollute the atmosphere and endanger human health. After the “1.th Five-Year Plan”, VOCs, instead of SO2, became one of the five indicators of China’s atmospheric governance. As a result, the government’s efforts to control VOCs have increased significantly. VOCs governance mustn’t be delayed. This paper provides a comprehensive summary and analysis of VOCs governance, covering the classification of VOCs, analysis of VOC governance technology (with a focus on end-of-pipe governance technology), national policy regulations, current governance shortcomings, and a forward-looking perspective on the future direction of VOCs governance, emphasizing healthy and sustainable development.

关键词： Volatile Organic Compounds VOCs End-of-Pipe Treatment Technology Policy Regulations

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Short-term prediction of on-street parking occupancy using multivariate variable based on deep learning

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Journal of Traffic and Transportation engineering(English Edition) 2024年第1期11卷 28-40页

作者： Mengqi Lyu Yanjie Ji Chenchen Kuai Shuichao Zhang School of Transportation Southeast UniversityNanjing 211189China Shandong Provincial Communications Planning and Design Institute Group Co. Ltd.Jinan 250101China School of civil and Transportation {1. Ningbo University of TechnologyNingbo 315211China

Short-term prediction of on-street parking occupancy is essential to the ITS system,which can guide drivers in finding vacant parking *** the spatial dependencies and exogenous dependencies need to be considered simultaneously,which makes short-term prediction of on-street parking occupancy ***,this paper proposes a deep learning model for predicting block-level parking ***,the importance of multiple points of interest(POI)in different buffers is sorted by Boruta,used for feature *** results show that different types of POI data should consider different buffer *** based on the real on-street parking data,long short-term memory(LSTM)that can address the time dependencies is applied to predict the parking *** results demonstrate that LSTM considering POI data after Boruta selection(LSTM(+BORUTA))outperforms other baseline methods,including LSTM,with an average testing MAPE of 1..78%.The selection process of POI data helps LSTM reduce training time and slightly improve the prediction performance,which indicates that complex correlations among the same type of POI data in different buffer zones will also affect the prediction accuracy of *** there are more restaurants on both sides of the street,the prediction performance of LSTM(+BORUTA)is significantly better than that of LSTM.

关键词： Smart parking Parking occupancy Short-term prediction Long short-term memory Boruta

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Dihalogenated nitrophenols in drinking water:Prevalence,resistance to household treatment,and cardiotoxic impact on zebrafish embryo

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Eco-Environment & Health 2024年第2期3卷 183-191页

作者： Hongjie Sun Yingying Liu Chunxiu Wu Lena QMa Dongxing Guan Huachang Hong Haiying Yu Hongjun Lin Xianfeng Huang Peng Gao Key Laboratory of Watershed Earth Surface Processes and Ecological Security College of Geography and Environmental ScienceZhejiang Normal UniversityJinhua 321004China College of Chemistry and Life Science Zhejiang Normal UniversityJinhua 321004China Institute of Soil and Water Resources and Environmental Science College of Environmental and Resource SciencesZhejiang UniversityHangzhou 310058China National and Local Joint engineering Research Center for Ecological Treatment Technology of Urban Water Pollution College of Life and Environmental ScienceWenzhou UniversityWenzhou 325035China department of Environmental and Occupational Health and Department of Civil and Environmental EngineeringUniversity of PittsburghPittsburghPA 15261United States UPMC Hillman Cancer Center PittsburghPA 15232United States

Dihalogenated nitrophenols(2,6-DHNPs),an emerging group of aromatic disinfection byproducts(DBPs)detected in drinking water,have limited available information regarding their persistence and toxicological *** present study found that 2,6-DHNPs are resistant to major drinking water treatment processes(sedimentation and filtration)and households methods(boiling,filtration,microwave irradiation,and ultrasonic cleaning).To further assess their health risks,we conducted a series of toxicology studies using zebrafish embryos as the model *** findings reveal that these emerging 2,6-DHNPs showed lethal toxicity 248 times greater than that of the regulated DBP,dichloroacetic ***,at sublethal concentrations,exposure to 2,6-DHNPs generated reactive oxygen species(ROS),caused apoptosis,inhibited cardiac looping,and induced cardiac failure in ***,the use of a ROS scavenger,N-acetyl-l-cysteine,considerably mitigated these adverse effects,emphasizing the essential role of ROS in 2,6-DHNP-induced *** findings highlight the cardiotoxic potential of 2,6-DHNPs in drinking water even at low concentrations of 1.μg/L and the beneficial effect of N-acetyl-l-cysteine in alleviating the 2,6-DHNP-induced *** study underscores the urgent need for increased scrutiny of these emerging compounds in public health discussions.

关键词： Dihalogenated nitrophenols Household water treatment Zebrafish embryo Reactive oxygen species Cardiotoxicity

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