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Significance of including lid thickness and particle shape factor in numerical modeling for prediction of particle trap efficiency of invert trap

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Water Science and engineering 2024年第2期17卷 166-176页

作者： Salman Beg Deo Raj Kaushal department of civil engineering Indian Institute of Technology DelhiNew Delhi 110016India

Sediment accumulation on the bed of open sewers and drains reduces hydraulic efficiency and can cause localized *** invert traps installed underneath the bed of open sewers and drains can eliminate sediment build-up by catching sediment *** three-dimensional(3D)computational studies have examined the particle trapping performance of invert traps of different shapes and depths under varied sediment and flow conditions,considering particles as *** two-dimensional and 3D numerical modeling,researchers assumed the lid geometry to be a thin line and a plane,*** this 3D numerical study,the particle trapping efficiency of a slotted irregular hexagonal invert trap fitted at the flume bottom was examined by incorporating the particle shape factor of non-spherical sewage solid particles and the thicknesses of upstream and downstream lids over the trap in the discrete phase model of the ANSYS Fluent 2020 R1 *** volume of fluid(VOF)and the realizable k-turbulence models were used to predict the velocity *** two-dimensional particle image velocimetry(PIV)was used to measure the velocity field inside the invert *** results showed that the thicknesses of upstream and downstream lids affected the velocity field and turbulent kinetic energy at all flow *** joint impact of the particle shape factor and lid thickness on the trap efficiency was *** both the lid thickness and particle shape factor were considered in the numerical modeling,trap efficiencies were underestimated,with relative errors of-8.66%to-0.65%in comparison to the experimental values of Mohsin and Kaushal(2017).They were also lower than the values predicted by Mohsin and Kaushal(2017),which showed an overall overestimation with errors of-2.3%to 17.4%.

关键词： Invert trap Lid thickness Particle image velocimetry Particle shape factor Turbulent kinetic energy Scanning electron microscope

Development and optimization of object detection technology in pavement engineering: A literature review

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Journal of Road engineering 2024年第2期4卷 163-188页

作者： Hui Yao Yaning Fan Yanhao Liu Dandan Cao Ning Chen Tiancheng Luo Jingyu Yang Xueyi Hu Jie Ji Zhanping You Beijing Key Laboratory of Transportation engineering Faculty of ArchitectureCivil and Transportation EngineeringBeijing University of TechnologyBeijing 100124China School of civil and Transportation engineering Beijing University of Civil Engineering and ArchitectureBeijing 100044China department of civil and Environmental engineering Michigan Technological UniversityHoughtonMI 49931USA

Due to the rapid advancement of the transportation industry and the continual increase in pavement infrastructure,it is difficult to keep up with the huge road maintenance task by relying only on the traditional manual detection *** pavement detection technology with deep learning techniques is available for the research and industry areas by the gradual development of computer vision *** to the different characteristics of pavement distress and the uncertainty of the external environment,this kind of object detection technology for distress classification and location still faces great *** paper discusses the development of object detection technology and analyzes classical convolutional neural network(CNN)*** addition to the one-stage and two-stage object detection frameworks,object detection without anchor frames is introduced,which is divided according to whether the anchor box is used or *** paper also introduces attention mechanisms based on convolutional neural networks and emphasizes the performance of these mechanisms to further enhance the accuracy of object *** network architecture is introduced for mobile and industrial *** stereo cameras and sensors are rapidly developed,a detailed summary of three-dimensional object detection algorithms is also *** reviewing the history of the development of object detection,the scope of this review is not only limited to the area of pavement crack detection but also guidance for researchers in related fields is shared.

关键词： Pavement engineering Object detection Lightweight network Attention mechanism Convolutional neural network

Heterogeneous information phase space reconstruction and stability prediction of filling body–surrounding rock combination

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International Journal of Minerals,Metallurgy and Materials 2024年第7期31卷 1500-1511页

作者： Dapeng Chen Shenghua Yin Weiguo Long Rongfu Yan Yufei Zhang Zepeng Yan Leiming Wang Wei Chen School of civil and Resources engineering University of Science and Technology of BeijingBeijing 100083China Production Technology department Longshou MineJinchuan Group Co.Ltd.Jinchang 737100China School of civil engineering and Architecture East China Jiaotong UniversityNanchang 330013China

Traditional research believes that the filling body can effectively control stress concentration while ignoring the problems of unknown stability and the complex and changeable stress distribution of the filling body–surrounding rock combination under high-stress *** monitoring data processing methods cannot fully consider the complexity of monitoring objects,the diversity of monitoring methods,and the dynamics of monitoring *** solve this problem,this paper proposes a phase space reconstruction and stability prediction method to process heterogeneous information of backfill–surrounding rock *** three-dimensional monitoring system of a large-area filling body–surrounding rock combination in Longshou Mine was constructed by using drilling stress,multipoint displacement meter,and *** information,such as the stress and displacement of the filling body–surrounding rock combination,was continuously *** with the average mutual information method and the false nearest neighbor point method,the phase space of the heterogeneous information of the filling body–surrounding rock combination was then *** this paper,the distance between the phase point and its nearest point was used as the index evaluation distance to evaluate the stability of the filling body–surrounding rock *** evaluated distances(ED)revealed a high sensitivity to the stability of the filling body–surrounding rock *** new method was then applied to calculate the time series of historically ED for 12 measuring points located at Longshou *** moments of mutation in these time series were at least 3 months ahead of the roadway return *** the ED prediction experiments,the autoregressive integrated moving average model showed a higher prediction accuracy than the deep learning models(long short-term memory and Transformer).Furthermore,the root-mean-square error distribution of the prediction results peaked at 0

关键词： deep mining filling body–surrounding rock combination phase space reconstruction multiple time series stability prediction

A Stroke-Limitation AMD Control System with Variable Gain and Limited Area for High-Rise Buildings

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工程与科学中的计算机建模(英文) 2024年第1期138卷 865-884页

作者： Zuo-Hua Li Qing-Gui Wu Jun Teng Chao-Jun Chen School of civil and Environmental engineering Harbin Institute of Technology(Shenzhen)Shenzhen518055China department of civil and Environmental engineering The Hong Kong Polytechnic UniversityHong Kong100872China

Collisions between a moving mass and an anti-collision device increase structural responses and threaten structural *** active mass damper(AMD)with stroke limitations is often used to avoid ***,a strokelimited AMD control system with a fixed limited area shortens the available AMD stroke and leads to significant control *** solve this problem,the design approach with variable gain and limited area(VGLA)is proposed in this ***,the boundary of variable-limited areas is calculated based on the real-time status of the moving *** variable gain(VG)expression at the variable limited area is deduced by considering the saturation of AMD ***,numerical simulations of a stroke-limited AMD control system with VGLA are conducted on a high-rise building *** numerical simulations show that the proposed approach has superior strokelimitation performance compared with a stroke-limited AMD control system with a fixed limited ***,the proposed approach is validated through experiments on a four-story steel frame.

关键词： High-rise buildings active control stroke limitations variable gain variable limited area

Optimized air-ground data fusion method for mine slope modeling

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Journal of Mountain Science 2024年第6期21卷 2130-2139页

作者： LIU Dan HUANG Man TAO Zhigang HONG Chenjie WU Yuewei FAN En YANG Fei State Key Laboratory for Tunnel engineering China University of Mining and Technology(Beijing)Beijing 100083China department of civil engineering Shaoxing UniversityShaoxing 312000China department of Computer Science and engineering Shaoxing UniversityShaoxing 312000China

Refined 3D modeling of mine slopes is pivotal for precise prediction of geological *** at the inadequacy of existing single modeling methods in comprehensively representing the overall and localized characteristics of mining slopes,this study introduces a new method that fuses model data from Unmanned aerial vehicles(UAV)tilt photogrammetry and 3D laser scanning through a data alignment algorithm based on control ***,the mini batch K-Medoids algorithm is utilized to cluster the point cloud data from ground 3D laser ***,the elbow rule is applied to determine the optimal cluster number(K0),and the feature points are ***,the nearest neighbor point algorithm is employed to match the feature points obtained from UAV tilt photogrammetry,and the internal point coordinates are adjusted through the distanceweighted average to construct a 3D ***,by integrating an engineering case study,the K0 value is determined to be 8,with a matching accuracy between the two model datasets ranging from 0.0669 to 1.0373 ***,compared with the modeling method utilizing K-medoids clustering algorithm,the new modeling method significantly enhances the computational efficiency,the accuracy of selecting the optimal number of feature points in 3D laser scanning,and the precision of the 3D model derived from UAV tilt *** method provides a research foundation for constructing mine slope model.

关键词： Air-ground data fusion method Mini batch K-Medoids algorithm Ebow rule Optimal cluster number 3D laser scanning UAV tilt photogrammetry

Multiscale engineered hydrogel for solar evaporation with enhanced water transport and purification

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Science China Materials 2024年第8期67卷 2709-2710页

作者： Mingzhan Wang Ronghui Wu Shuang Zheng Pritzker School of Molecular engineering University of ChicagoChicagoIL 60637USA department of civil engineering The University of Hong KongHong Kong 999077China

Solar evaporation is emerging as a powerful solution to alleviate the global water shortage *** a recent work published in Nature Water,Liangti Qu and coworkers[1]report a facile method of preparing a graphene/alginate hydrogel(GAH),which not only possesses nearly total rejections to salts,volatile and non-volatile organic compounds,but also exhibits excellent antifouling properties to bacteria and *** the perspective of chemistry,these impressive properties originate from the systematic engineering of the GAH,ranging from the molecular scale to the macroscopic scale.

关键词： volatile hydrogel preparing

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In situ infrared, Raman and X-ray spectroscopy for the mechanistic understanding of hydrogen evolution reaction

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Journal of Energy Chemistry 2024年第3期90卷 632-651,I0014页

作者： Andi Haryanto Kyounghoon Jung Chan Woo Lee Dong-Wan Kim department of Chemistry Kookmin UniversitySeoul 02707Republic of Korea School of civil Environmental and Architectural EngineeringKorea UniversitySeoul 02841Republic of Korea

Hydrogen production by water reduction reactions has received considerable attention because hydrogen is considered a clean-energy carrier,key for a sustainable energy *** methods have been widely used to study the reaction mechanism of the hydrogen evolution reaction(HER),but the calculation results need to be supported by experimental results and direct evidence to confirm the mechanistic *** this review,we discuss the fundamental principles of the in situ spectroscopic strategy and a theoretical model for a mechanistic understanding of the *** addition,we investigate recent studies by in situ Fourier transform infrared(FTIR),Raman spectroscopy,and X-ray absorption spectroscopy(XAS) and cover new findings that occur at the catalyst-electrolyte interface during *** spectroscopic strategies provide practical ways to elucidate catalyst phase,reaction intermediate,catalyst-electrolyte interface,intermediate binding energy,metal valency state,and coordination environment during HER.

关键词： Hydrogen evolution reaction Infrared spectroscopy Raman spectroscopy X-ray absorption spectroscopy Reaction mechanism

Experimental study on the size effect on the equation of state of concretes under shock loading

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Defence Technology（防务技术） 2024年第3期33卷 160-167页

作者： Mei Li Jian Cui Yanchao Shi Baijian Tang Xin Chen Key Laboratory of Coast civil Structural Safety of the Ministry of Education Tianjin UniversityTianjin 300072China School of civil engineering Suzhou University of Science and Technology1701 Binhe RoadSuzhou 215011JiangsuChina School of civil engineering Tianjin UniversityTianjin 300072China

Adopting the classical theory of hydrocodes,the constitutive relations of concretes are separated into an equation of state(EoS)which describes the volumetric behavior of concrete material and a strength model which depicts the shear properties of *** experiments on the EoS of concrete is always challenging due to the technical difficulties and equipment limitations,especially for the specimen size effect on the *** some researchers investigate the shock properties of concretes by fly-plate impact tests,the specimens used in their tests are usually in one *** this paper,the fly-plate impact tests on concrete specimens with different sizes are performed to investigate the size effect on the shock properties of concrete *** mechanical background of the size effect on the shock properties are revealed,which is related to the lateral rarefaction effect and the deviatoric stress produced in the *** to the tests results,the modified EoS considering the size effect on the shock properties of concrete are proposed,which the bulk modulus of concrete is unpredicted by up to 20% if size effects are not accounted for.

关键词： Concrete Equation of state Size effect Shock wave Fly-plate impact test

engineering punching shear strength of flat slabs predicted by nature-inspired metaheuristic optimized regression system

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Frontiers of Structural and civil engineering 2024年第4期18卷 551-567页

作者： Dinh-Nhat TRUONG Van-Lan TO Gia Toai TRUONG Hyoun-Seung JANG department of civil engineering University of Architecture Ho Chi Minh CityHo Chi Minh City 700000Vietnam Faculty of civil engineering and Technology Dong A UniversityDa Nang City 550000Vietnam School of Architecture Seoul National University of Science and TechnologySeoul 01811Republic of Korea

Reinforced concrete(RC)flat slabs,a popular choice in construction due to their flexibility,are susceptible to sudden and brittle punching shear *** design methods often exhibit significant bias and *** estimation of punching shear strength in RC flat slabs is crucial for effective concrete structure design and *** study introduces a novel computation method,the jellyfish-least square support vector machine(JS-LSSVR)hybrid model,to predict punching shear *** combining machine learning(LSSVR)with jellyfish swarm(JS)intelligence,this hybrid model ensures precise and reliable *** model’s development utilizes a real-world experimental data *** with seven established optimizers,including artificial bee colony(ABC),differential evolution(DE),genetic algorithm(GA),and others,as well as existing machine learning(ML)-based models and design codes,validates the superiority of the JS-LSSVR hybrid *** innovative approach significantly enhances prediction accuracy,providing valuable support for civil engineers in estimating RC flat slab punching shear strength.

关键词： punching shear strength reinforced concrete flat slabs machine learning jellyfish search support vector machine