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Road sub-surface defect detection based on gprMax forward simulation-sample generation and Swin Transformer-YOLOX

Frontiers of Structural and Civil engineering 2024年第3期18卷 334-349页

作者： Longjian LI Li YANG Zhongyu HAO Xiaoli SUN Gongfa CHEN School of Civil and Transportation engineering Guangdong University of TechnologyGuangzhou 510006China JSTI Group Guizhou engineering Survey and design co. Ltd.Guangzhou 510800China Guangzhou municipal engineering Testing co. Ltd.Guangzhou 510520China

Training samples for deep learning networks are typically obtained through various field experiments,which require significant manpower,resource and time ***,it is possible to utilize simulated data to augment the training *** this paper,by co.paring the actual experimental model with the simulated model generated by the gprMax[1]forward simulation method,the feasibility of obtaining simulated samples through gprMax simulation is ***,the samples generated by gprMax forward simulation are used for training the network to detect objects in existing real *** the same time,aiming at the detection and intelligent reco.nition of road sub-surface defects,the Swin-YOLOX algorithm is introduced,and the excellence of the detection network,which is improved by augmenting the simulated samples with real samples,is further *** co.paring the prediction performance of the object detection models,it is observed that the model trained with mixed samples achieved a recall of 94.74%and a mean average precision(maP)of 97.71%,surpassing the model trained only on real samples by 12.95%and 15.64%,*** feasibility and excellence of training the model with mixed samples are *** potential of using a fusion of simulated and existing real samples instead of repeatedly acquiring new real samples by field experiment is demonstrated by this study,thereby improving detection efficiency,saving resources,and providing a new approach to the problem of multiple interpretations in ground penetrating radar(GPR)data.

关键词： ground penetrating radar gprMax forward modeling sample generation Swin-YOLOX object detection

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Research on co.denser Deterioration Evolution Trend Based on ANP-EWM Fusion Health Degree

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co.puter Modeling in engineering & Sciences 2024年第4期139卷 679-698页

作者： Hong Qian Haixin Wang Guangji Wang Qingyun Yan co.lege of Automation engineering Shanghai University of Electric PowerShanghai200090China shanghai Key Laboratory of Power Station Automation Technology Shanghai200072China Empower Information Technology(shanghai)co. Ltd.Shanghai201508China China Nuclear Power engineering design co. Ltd.Shenzhen518052China

This study presents a proposed method for assessing the co.dition and predicting the future status of co.densers operating in seawater over an extended *** aim is to address the problems of scaling and co.rosion,which lead to increased loss of co.d *** method involves utilising a set of multivariate feature parameters associated with the co.denser as input for evaluation and trend *** methodology offers a precise means of determining the optimal timing for co.denser cleaning,with the ultimate goal of improving its overall *** proposed approach involves the integration of the analytic network process with subjective expert experience and the entropy weightmethod with objective big data analysis to develop a fusion health *** mathematical model is co.structed quantitatively using the improved Mahalanobis ***,a co.prehensive prediction model is developed by integrating the improved Informer model and Markov error *** model takes into acco.nt the health status of the equipment and several influencing factors,includingmultivariate feature *** model facilitates the objective examination and prediction of the progression of equipment deterioration *** present study involves the co.putation and verification of the field time series data,which serves to demonstrate the accuracy of the co.denser health-related models proposed in this *** models effectively depict the real co.dition and temporal variations of the equipment,thus offering a valuable method for determining the precise cleaning time required for the co.denser.

关键词： co.denser health degree improved Mahalanobis distance GC-Informer model Markov error co.rection

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Exploring the co.bination of biochar‐amended soil and automated irrigation technology for water regulation and preservation in green infrastructure

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Deep Underground Science and engineering 2024年第1期3卷 39-52页

作者： Honghu Zhu Yuanxu Huang Haihong Song Jian Chen Songlei Han Tanwee Mazumder Ankit Garg School of Earth Sciences and engineering Nanjing UniversityNanjingChina Department of Civil and Smart engineering co.struction Guangdong Engineering Center for Structure Safety and Health MonitoringShantou UniversityShantouChina shanghai municipal engineering design co. LtdShanghaiChina Indian Institute of Technology Madras ChennaiIndia

Biochar is a carbon sink material with the potential to improve water retention in various ***,for the long‐term maintenance of green infrastructure,there is an additional need to regulate the water co.tents in the co.ers to maintain vegetation growth in semiarid *** this study,biochar‐amended soil was co.bined with subsurface drip irrigation,and the water preservation characteristics of this treatment were investigated through a series of one‐dimensional soil co.umn *** ascertain the best treatment method specific to semiarid climatic co.ditions,the test soil was amended with 0%,1%,3%,and 5%*** irrigation devices equipped with soil moisture sensors were used to co.trol the subsurface water co.tent with the aim of enhancing vegetation *** soil co.umn test lasted 150 h,during which the volumetric water co.tents and soil suction data were *** experimental results reveal that the soil specimen amended with 3%biochar is the most water‐saving regardless of the time *** with a higher biochar co.tent(e.g.,5%)co.sumes a more significant amount of water due to the enhancement of the water‐holding *** on the experimental results,it can be co.cluded that the appropriate ratio can be determined within 1%–3%,which can reduce not only the amount of irrigated/used water but also the time *** technology can be explored for water co.tent regulation in green infrastructure and the development of barriers for protecting the environment around deep underground waste co.tainment.

关键词： biochar drip irrigation underground water preservation water regulation

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Automated identification of steel weld defects,a co.volutional neural network improved machine learning approach

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Frontiers of Structural and Civil engineering 2024年第2期18卷 294-308页

作者： Zhan SHU Ao WU Yuning SI Hanlin DONG Dejiang WANG Yifan LI School of Mechanics and engineering Science Shanghai UniversityShanghai 200444China School of Civil engineering Shanghai Normal UniversityShanghai 201418China shanghai PinlanData Technology co. Ltd.Shanghai 200072China

This paper proposes a machine-learning-based methodology to automatically classify different types of steel weld defects,including lack of the fusion,porosity,slag inclusion,and the qualified(no defects)*** methodology solves the shortco.ings of existing detection methods,such as expensive equipment,co.plicated operation and inability to detect internal *** study first co.lected percussed data from welded steel members with or without weld ***,three methods,the Mel frequency cepstral co.fficients,short-time Fourier transform(STFT),and co.tinuous wavelet transform were implemented and co.pared to explore the most appropriate features for classification of weld *** and co.volutional neural network-enhanced algorithms were used to classify,the extracted ***,experiments were designed and performed to validate the proposed *** showed that STFT achieved higher accuracies(up to 96.63%on average)in the weld status *** co.volutional neural network-enhanced support vector machine(SVM)outperformed six other algorithms with an average accuracy of 95.8%.In addition,random forest and SVM were efficient approaches with a balanced trade-off between the accuracies and the co.putational efforts.

关键词： steel weld machine learning co.volutional neural network weld defect detection classification task percussion

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co.position characterization and transformation mechanism of dissolved organic phosphorus in wastewater treatment using 31P NMR spectrosco.y

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Frontiers of Environmental Science & engineering 2024年第3期18卷 103-113页

作者： Yuting Zhang Wei Shang SoonThiam Khu Xingcan Zheng Yongli Sun Pengfeng Li Miao Gu Wen-an Zhang Huanmei Ma National engineering Research Center For Urban Water&Wastewater North China Municipal Engineering Design&Research Institute Co.Ltd.Tianjin 300381China School of Environment Science&engineering Tianjin UniversityTianjin 300350China

The migration and transformation of phosphorus co.ponents in wastewater treatment plants(WWTPs)play a crucial role in the co.vergence and circulation of ***,the co.position and variation of dissolved organic phosphorus(DOP)in WWTPs were unclear because of its co.plex nature,hindering its efficient *** this study,the DOP species and their transformation during the treatment process in WWTP were co.prehensively ***,two enrichment methods were assessed for their effectiveness at facilitating wastewater analysis:lyophilization and aluminum salt *** salt precipitation was found to be better because its application allowed 31P nuclear magnetic resonance(31P NMR)spectrosco.y to identify more species in the seco.dary effluent:orthophosphate(Ortho-P)(81.1%–89.3%of the dissolved total phosphorus),pyrophosphates(Pyro-P)(0%–2.3%),orthophosphate monoesters(Mono-P)(7.0%–10.77%),orthophosphate diesters(Di-P)(1.0%–2.96%),and phosphonate(Phos-P)(1.7%–5.16%).Furthermore,the variation and transformation mechanism of phosphorus,particularly those of DOP,during the entire sewage-treatment process were *** the treatment steps,biological treatment co.bined tertiary treatment achieved better DOP removal ***,biological treatment mainly removed Mono-P and Di-P with removal efficiencies of 33.3%and 41.7%co.pared with the effluent of the grit ***-P has higher bioavailability and is more easily co.verted and utilized by microorganisms than ***,Phos-P,with low bioavailability,was hardly utilized by microorganisms,which showed only 18.4%removal efficiency in biological *** tertiary treatment,co.gulation process exhibited higher removal ability of Ortho-P(69.1%)and partial removal efficiencies of DOP,resulting in an increase in the DOP proportion in *** addition,Phos-P co.ld not be effectively removed through the biological treatment and was only partially reduced via the adsorption pro

关键词： municipal wastewater Dissolved organic phosphorus co.position Transformation 31P nuclear magnetic resonance

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A new neural-network-based method for structural damage identification in single-layer reticulated shells

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Frontiers of Structural and Civil engineering 2024年第1期18卷 104-121页

作者： Jindong ZHANG Xiaonong GUO Shaohan ZONG Yujian ZHANG co.lege of Civil engineering Tongji UniversityShanghai 200092China China co.struction Eighth engineering Division co. Ltd.Shanghai 200135China

Single-layer reticulated shells(SLRSs)find widespread application in the roofs of crucial public structures,such as gymnasiums and exhibition *** this paper,a new neural-network-based method for structural damage identification in SLRSs is ***,a damage vector index,NDL,that is related only to the damage localization,is proposed for SLRSs,and a damage data set is co.structed from NDL *** the basis of visualization of the NDL damage data set,the structural damaged region locations are identified using co.volutional neural networks(CNNs).By cross-dividing the damaged region locations and using parallel CNNs for each regional location,the damaged region locations can be quickly and efficiently identified and the undamaged region locations can be ***,a damage vector index,DS,that is related to the damage location and damage degree,is proposed for *** on the damaged region identified previously,a fully co.nected neural network(FCNN)is co.structed to identify the location and damage degree of *** effectiveness and reliability of the proposed method are verified by co.sidering a numerical case of a spherical *** calculation results showed that the proposed method can quickly eliminate candidate locations of potential damaged region locations and precisely determine the location and damage degree of members.

关键词： single-layer reticulated shell damage identification neural network co.volutional neural network cross-partitioning method

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Optimization of Fixture Number in Large Thin-Walled Parts Assembly Based on IPSO

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Chinese Journal of Mechanical engineering 2024年第2期37卷 213-227页

作者： Changhui Liu Jing Wang Ying Zheng Ke Jin Jianbo Yu Jianfeng Liu School of Mechanical engineering Tongji UniversityShanghai 201804China shanghai Jiaotong University Shanghai 200240China shanghai Waigaoqiao Shipbuilding co. Ltd.Shanghai 200137China

There are lots of researches on fixture layout optimization for large thin-walled *** researches focus on the positioning problem,i.e.,optimizing the positions of a co.stant number of ***,how to determine the number of fixtures is *** most cases,the number of fixtures located on large thin-walled parts is determined based on engineering experience,which leads to huge fixture number and extra ***,this paper co.structs an optimization model to minimize the number of *** co.straints are set in the optimization model to ensure that the part deformation is within the surface profile *** addition,the assembly gap between two parts is also *** co.duct the optimization,this paper develops an improved particle swarm optimization(IPSO)algorithm by integrating the shrinkage factor and adaptive inertia *** the algorithm,particles are enco.ed acco.ding to the fixture *** dimension of the particle is assigned to a sub-region by co.straining the optional position range of each fixture to improve the optimization ***,a case study on ship curved panel assembly is provided to prove that our method can optimize the number of fixtures while meeting the assembly quality *** research proposes a method to optimize the number of fixtures,which can reduce the number of fixtures and achieve deformation co.trol at the same time.

关键词： Assembly quality Large thin-walled parts Fixture layout PSO FEM

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Development of Fixture Layout Optimization for Thin-Walled Parts:A Review

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Chinese Journal of Mechanical engineering 2024年第1期37卷 15-39页

作者： Changhui Liu Jing Wang Binghai Zhou Jianbo Yu Ying Zheng Jianfeng Liu School of Mechanical engineering Tongji UniversityShanghai 201804China shanghai Jiaotong University Shanghai 200240China shanghai Waigaoqiao Shipbuilding co. Ltd.Shanghai 200137China

An increasing number of researchers have researched fixture layout optimization for thin-walled part assembly during the past ***,few papers systematically review these *** analyzing existing literature,this paper summarizes the process of fixture layout optimization and the methods *** process of optimization is made up of optimization objective setting,assembly variation/deformation modeling,and fixture layout *** paper makes a review of the fixture layout for thin-walled parts acco.ding to these three ***,two different kinds of optimization objectives are *** usually co.sider in-plane variations or out-of-plane deformations when designing ***,modeling methods for assembly variation and deformation are divided into two categories:Mechanism-based and data-based *** co.mon methods are discussed *** that,optimization algorithms are reviewed *** are two kinds of optimization algorithms:Traditional nonlinear programming and heuristic ***,discussions on the current situation are *** research direction of fixture layout optimization in the future is discussed from three aspects:Objective setting,improving modeling accuracy and optimization ***,a new research point for fixture layout optimization is *** paper systematically reviews the research on fixture layout optimization for thin-walled parts,and provides a reference for future research in this field.

关键词： Thin-walled parts Assembly quality Fixture layout optimization Modeling methods Optimization algorithms

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Wind Turbine Gearbox Fault Diagnosis Based on Multi-sensor Signals Fusion

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Protection and co.trol of Modern Power Systems 2024年第4期9卷 96-109页

作者： Yao Zhao Ziyu Song Dongdong Li Rongrong Qian Shunfu Lin the co.lege of Electrical engineering Shanghai University of Electric PowerShanghai 200090China IEEE the design Research and Development Center AECC co.mercial Aircraft Engine co. Ltd.Shanghai 200241China

This paper proposes a novel fault diagnosis method by fusing the information from multi-sensor signals to improve the reliability of the co.ventional vibration-based wind turbine drivetrain gearbox fault diagnosis *** method fully extracts fault features for variable speed,insufficient samples,and strong noise scenarios that may occur in the actual operation of a wind turbine planetary ***,multiple sensor signals are added to the diagnostic model,and multiple stacked denoising auto-enco.ers are designed and improved to extract the fault ***,a cycle reservoir with regular jumps is introduced to fuse multidimensional fault information and output diagnostic results in response to the insufficient ability to process fused information by the co.ventional Softmax *** addition,the co.petitive swarm optimizer algorithm is introduced to address the challenge of obtaining the optimal co.bination of parameters in the ***,the validation results show that the proposed method can increase fault diagnostic accuracy and improve robustness.

关键词： Wind turbine gearbox fault diagnosis multiple scenarios deep learning stacked denoising au-to-enco.er cycle reservoir with regular jumps feature fusion network

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Seismic effectiveness evaluation and optimized design of tie up method for securing museum co.lections

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Earthquake engineering and engineering Vibration 2024年第3期23卷 741-763页

作者： Wang Meng Yan Yi Yang Weiguo Liu Pei Ge Jiaqi Ma Botao School of Civil engineering Beijing Jiaotong UniversityBeijing 100044China Beijing’s Key Laboratory of Structural Wind engineering and Urban Wind Environment Beijing 100044China Beijing General municipal engineering design&Research Institute co. LtdBeijing 100082China China Aviation Planning and design Institute(Group)co.Ltd. Beijing 100120China

To quantify the seismic effectiveness of the most co.monly used fishing line tie up method for securing museum co.lections and optimize fixed strategies for exhibitions,shaking table tests of the seismic systems used for typical museum co.lection replicas have been carried *** influence of body shape and fixed measure parameters on the seismic responses of replicas and the interaction behavior between replicas and fixed measures have been *** on the results,seismic effectiveness evaluation indexes of the tie up method are *** suggestions for fixed strategies are given,which provide a basis for the exhibition of delicate museum co.lections co.sidering the principle of minimizing seismic responses and *** analysis results show that a larger ratio of height of mass center to bottom diameter led to more intense rocking *** the initial pretension of fishing lines was co.ducive to reducing the seismic responses and stress variation of the *** co.prehensive co.sideration of the interaction forces and effective securement,it is reco.mended to apply 20%of breaking stress as the initial *** specific museum co.lections that cannot be effectively protected by the independent tie up method,an optimized strategy of a co.bination of fishing lines and fasteners is reco.mended.

关键词： tie up method museum co.lections shaking table test seismic effectiveness optimized design

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