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On the use of acoustic emission methods for in-situ monitoring in metal additive manufacturing:A review study 认领 引用
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作者 Zhiwen Li Hang Zheng +4 位作者 Zhifen Zhang Jie Wang Guangrui Wen Marco Grasso Bianca Maria Colosimo 《Additive Manufacturing Frontiers》 CAS CSCD 2026年第2期1-25,共25页
Acoustic emission(AE)sensing is emerging as a powerful,non-intrusive tool for in-situ monitoring and in-process defect detection in metal additive manufacturing(AM).Unlike other methods(e.g.,optical or thermal),AE ena... Acoustic emission(AE)sensing is emerging as a powerful,non-intrusive tool for in-situ monitoring and in-process defect detection in metal additive manufacturing(AM).Unlike other methods(e.g.,optical or thermal),AE enables the real-time detection of mechanical transients directly related to dynamic events such as crack initiation,layer delamination,pore formation,etc.This review provides a systematic overview of AE-based approaches applied to the main classes of AM processes for metals and other materials.For each process,the paper discusses(i)the sensing principles and typical AE sensor configurations;(ii)methodologies for feature extraction and signal interpretation;(iii)the types of defects and anomalies that can be detected;and(iv)the machine learning and artificial intelligence techniques employed for data fusion,classification,and anomaly detection.Attention is also given to how AE data are integrated with other sensing modalities within multimodal monitoring frameworks.The review concludes by identifying open challenges,including calibration and validation issues,data synchronization,model generalization,and deployment in real industrial environments. 展开更多
关键词 Acoustic emissions In-situ monitoring Defect detection Artificial intelligence Additive manufacturing
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In-situ monitoring of layer-wise process quality and signal analysis for laser powder bed fusion using multi-source optical signal 认领 引用
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作者 Di Wang Tao Tang +10 位作者 Tingyi Wang Renwu Jiang Xiaoqiang Zheng Long Zhou Laizhu Chen Wenlong Chen Pan Wang Zhiguang Zhou Ying Ma Yongqiang Yang Linqing Liu 《Additive Manufacturing Frontiers》 CAS CSCD 2026年第2期59-77,共19页
Laser powder bed fusion is a key metal additive manufacturing technology capable of fabricating geometrically complex parts,yet its reliable industrial adoption is hindered by the inherent complexity and stochastic de... Laser powder bed fusion is a key metal additive manufacturing technology capable of fabricating geometrically complex parts,yet its reliable industrial adoption is hindered by the inherent complexity and stochastic defect formation of the process.Current quality assessment is constrained by the inherent latency of offline methods and the diagnostic limitations of single-sensor monitoring.To address these challenges,this study developed a multi-source optical signal monitoring system integrating coaxial photodiodes and an off-axis industrial camera to achieve simultaneous powder spreading detection and radiation signal monitoring during LPBF layer-wise process quality monitoring.Based on the successful identification and analysis of typical detectable features,the YOLOv5s deep learning model was employed to achieve rapid and accurate detection of lack-of-powder defects during the printing process.The training results indicated that the model exhibited good performance metrics.The relationships between process parameters,typical defects,and multi-channel monitoring data were also investigated.The monitoring system achieved a spatial resolution of 300μm for in-process monitoring and demonstrated high accuracy in detecting various defect types,including lack of powder,pores,warping,stitching seams,and printing failures.Furthermore,the algorithm-detected signal anomalies exhibited good spatial correlation with the actual surface defects.Simultaneously,wavelet time-frequency analysis was employed to evaluate molten pool dynamic stability under different process parameters and to analyze energy distribution for different defects.Furthermore,3D model reconstruction from signals enabled effective correlation with actual part defects.Based on the signal-driven process optimization,complex conformal cooling molds were successfully fabricated with a grafting accuracy error of less than 0.12 mm on high-performance substrates,demonstrating the practical efficacy of the developed monitoring methodology.This study provides both a technological and a theoretical foundation for intelligent quality control in LPBF and its practical implementation in industry. 展开更多
关键词 Laser powder bed fusion Multi-source optical signal Signal analysis Layer-wise quality monitoring
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Influences of rainfall infiltration on stability of accumulation slope by in-situ monitoring test 认领 引用 被引量：13
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作者 周中 王宏贵 +1 位作者 傅鹤林 刘宝琛 《Journal of Central South University》 SCIE EI CAS 2009年第2期297-302,共6页
In order to improve the understanding of the fundamental mechanism of rainfall infiltration induced landslides in accumulation slope and to clarify some important characteristics of slope performance,artificial rainfa... In order to improve the understanding of the fundamental mechanism of rainfall infiltration induced landslides in accumulation slope and to clarify some important characteristics of slope performance,artificial rainfall simulation tests and field synthetic monitoring were carried out on a typical accumulation slope of Shangrui Freeway in Guizhou Province,China.The monitoring results show that the most accumulation landslides caused by rainfall infiltration are shallow relaxation failure,whose deformation zone lies within the top 0-4 m soil layer.The deformation of slope gradually reduces from the surface,where the greatest deformation lies in,to the deep part of slope.The average percentage of infiltration during the first 2 h is 86%,and then it reduces gradually with time because of the increase of the surface runoff.The average percentage of infiltration drop to a relatively stable value(50%)after 6 h.Rainfall infiltration causes obvious increase of pore-water pressure,which may result in a reduction of shear strength due to a decrease in effective stress and wetting-induced softening.The double-effect of rainfall infiltration is the main reason of rainfall infiltration induced landslides in accumulation slope. 展开更多
关键词 accumulation slope stability rainfall infiltration in-situ monitoring
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In-situ monitoring plume,spattering behavior and revealing their relationship with melt flow in laser powder bed fusion of nickel-based superalloy 认领 引用 被引量：1
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作者 You Wang Wei Guo +4 位作者 Yinkai Xie Huaixue Li Caiyou Zeng Ming Xu Hongqiang Zhang 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 2024年第10期44-58,共15页
Laser powder bed fusion(LPBF)is a highly dynamic and complex physical process,and single-track de-fects tend to accumulate into non-negligible internal defects of parts.The nickel-based superalloy single track was fab... Laser powder bed fusion(LPBF)is a highly dynamic and complex physical process,and single-track de-fects tend to accumulate into non-negligible internal defects of parts.The nickel-based superalloy single track was fabricated by LPBF,and its plume and spattering behavior were monitored in situ and recorded in real time based on image recognition and tracking in this study.The relationship among laser energy density,melt flow,plume and spattering behavior during LPBF was discussed.Volumetric energy density had limitations as a design parameter for LPBF.However,we found that plume and spattering behavior can be used as real-time design parameters for the processing of LPBF parts and implemented the initial velocity statistics for LPBF single-track spattering based on the centroid extraction algorithm.The influ-ence of melt flow evolution paths on the spattering and plume behavior in three different melting modes was revealed,and a shift in plume behavior was found in the overlap region of the additive substrate.This study provides a new method for obtaining statistics of spattering-related physical quantities in the melting mode,which is beneficial for the development of processing methods to mitigate the instability of the LPBF process. 展开更多
关键词 Laser powder bed fusion Plume behavior Spattering behavior In-situ monitoring Ickel-based superalloy
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Interplay of laser power and pore characteristics in selective laser melting of ZK60 magnesium alloys:A study based on in-situ monitoring and image analysis 认领 引用 被引量：2
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作者 Weijie Xie Hau-Chung Man Chi-Wai Chan 《Journal of Magnesium and Alloys》 SCIE EI CAS CSCD 2024年第4期1346-1366,共21页
This study offers significant insights into the multi-physics phenomena of the SLM process and the subsequent porosity characteristics of ZK60 Magnesium(Mg)alloys.High-speed in-situ monitoring was employed to visualis... This study offers significant insights into the multi-physics phenomena of the SLM process and the subsequent porosity characteristics of ZK60 Magnesium(Mg)alloys.High-speed in-situ monitoring was employed to visualise process signals in real-time,elucidating the dynamics of melt pools and vapour plumes under varying laser power conditions specifically between 40 W and 60 W.Detailed morphological analysis was performed using Scanning-Electron Microscopy(SEM),demonstrating a critical correlation between laser power and pore formation.Lower laser power led to increased pore coverage,whereas a denser structure was observed at higher laser power.This laser power influence on porosity was further confirmed via Optical Microscopy(OM)conducted on both top and cross-sectional surfaces of the samples.An increase in laser power resulted in a decrease in pore coverage and pore size,potentially leading to a denser printed part of Mg alloy.X-ray Computed Tomography(XCT)augmented these findings by providing a 3D volumetric representation of the sample internal structure,revealing an inverse relationship between laser power and overall pore volume.Lower laser power appeared to favour the formation of interconnected pores,while a reduction in interconnected pores and an increase in isolated pores were observed at higher power.The interplay between melt pool size,vapour plume effects,and laser power was found to significantly influence the resulting porosity,indicating a need for effective management of these factors to optimise the SLM process of Mg alloys. 展开更多
关键词 Selective laser melting(SLM) Magnesium(Mg)alloys Biodegradable implants Porosity In-situ monitoring
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In-situ monitoring of cell-secreted lactate by electrochemiluminescence sensing under biomimetic microfluidic confinement 认领 引用
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作者 Yixin Liu Yuanyuan Yao +2 位作者 Beibei Yang Yan-Jun Liu Baohong Liu 《Chinese Chemical Letters》 SCIE CAS CSCD 2022年第5期2705-2707,共3页
Cell migration proceeds in 3D matrices in vivo,which can naturally switch to distinct phenotypes for bet-ter invasion in confined microenvironments.The studies of important metabolites under confinement are extremely ... Cell migration proceeds in 3D matrices in vivo,which can naturally switch to distinct phenotypes for bet-ter invasion in confined microenvironments.The studies of important metabolites under confinement are extremely meaningful for comprehensive insights into cancer metastasis.The integration of cell confine-ment device and analytical techniques is a key point for in-situ analysis of significant metabolites in vitro.Herein,an electrochemiluminescence(ECL)sensing platform was designed for in-situ monitoring of cell-secreted lactate in highly confined microenvironments.The 3-μm confiner was exactly fabricated via mi-crofabrication and microfluidics technique,and cells in high confinement and low adhesion tended to be round with contractile blebs on cell margins.Significantly,in-situ monitoring of lactate was successfully achieved on the ECL platform with the catalysis of lactate oxidase,in which the levels in different time intervals were acquired in the luminol-hydrogen peroxide system.Furthermore,the results were verified by the liquid chromatography-tandem mass spectrometry(LC-MS/MS)technology,which showed similar fluctuations with the ECL platform.This system offered an available avenue for metabolites analysis in highly confined microenvironments,which may advance deeper insights into metabolic mechanisms of cancer metastasis. 展开更多
关键词 Confinement ECL sensing platform In-situ monitoring
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In-situ Monitoring the Setting Behavior of Foamed Concrete Using Ultrasonic Pulse Velocity Method 认领 引用
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作者 SHE Wei ZHANG Yunsheng +1 位作者 JONES MR GUO Panpan 《Journal of Wuhan University of Technology(Materials Science)》 SCIE EI CAS 2013年第6期1146-1154,共9页
The applicability of ultrasonic pulse velocity （UPV） method to in-situ monitor setting and hardening process of foamed concrete （FC） was systematically investigated. The UPVs of various FC pastes were automaticall... The applicability of ultrasonic pulse velocity （UPV） method to in-situ monitor setting and hardening process of foamed concrete （FC） was systematically investigated. The UPVs of various FC pastes were automatically and continuously measured by a specially designed ultrasonic monitoring apparatus （UMA）. Ultrasonic tests were performed on FC mixtures with different density （300, 500, 800 and 1 000 kg/m3）, and different fly ash contents （0%, 20%, 40% and 60%）. The influence of curing temperatures （20, 40, 60 and 80~C） was also studied. The experimental results show that three characteristic stages can be clearly identified during the setting process of an arbitrary FC paste： dormant stage, acceleration stage, and deceleration stage. Wet density, fly ash content, and curing temperature have great impact on setting behavior. A stepwise increase of the wet density results in shorter dormant stage and larger final UPV. Hydration reaction rate is obviously promoted with an increase in curing temperature. However, the addition fly ash retards the microstn,lcture formation. To aid in comparing with the ultrasonic results, the consistence spread test and Vicat needle test （VNT） were also conducted. A correlation between ultrasonic and VNT results was also established to evaluate the initial and final setting time of the FC mixtures. Finally, certain ranges of UPV with reasonable widths were suggested for the initial and final setting time, respectively. 展开更多
关键词 foamed concrete （FC） early age setting behavior ultrasonic monitoring setting time consistence
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In-situ monitoring of dynamic behavior of catalyst materials and reaction intermediates in semiconductor catalytic processes 认领 引用 被引量：1
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作者 Zhen Fang Yao Liu +5 位作者 Chengyi Song Peng Tao Wen Shang Tao Deng Xiaoqin Zeng Jianbo Wu 《Journal of Semiconductors》 EI CAS CSCD 2022年第4期46-59,共14页
Semiconductor photocatalysis, as a key part of solar energy utilization, has far-reaching implications for industrial, agricultural, and commercial development. Lack of understanding of the catalyst evolution and the ... Semiconductor photocatalysis, as a key part of solar energy utilization, has far-reaching implications for industrial, agricultural, and commercial development. Lack of understanding of the catalyst evolution and the reaction mechanism is a critical obstacle for designing efficient and stable photocatalysts. This review summarizes the recent progress of in-situ exploring the dynamic behavior of catalyst materials and reaction intermediates. Semiconductor photocatalytic processes and two major classes of in-situ techniques that include microscopic imaging and spectroscopic characterization are presented. Finally, problems and challenges in in-situ characterization are proposed, geared toward developing more advanced in-situ techniques and monitoring more accurate and realistic reaction processes, to guide designing advanced photocatalysts. 展开更多
关键词 in-situ semiconductor photocatalyst materials evolution reaction intermediate
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In-situ monitoring of nitrile-bearing pesticide residues by background-free surface-enhanced Raman spectroscopy 认领 引用
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作者 Guorui Wu Wenshuai Li +3 位作者 Weijun Du Aiqin Yue Jinzhong Zhao Dingbin Liu 《Chinese Chemical Letters》 SCIE CAS CSCD 2022年第1期519-522,共4页
In-situ monitoring of pesticide residues during crop growth or/and in related products is of great significance in avoiding the abuse of pesticides but remains challenging thus far.In this report,we proposed a backgro... In-situ monitoring of pesticide residues during crop growth or/and in related products is of great significance in avoiding the abuse of pesticides but remains challenging thus far.In this report,we proposed a background-free surface-enhanced Raman spectroscopy(bf-SERS)platform to non-destructively track the nitrile-bearing pesticide residues in soybean leaves with high sensitivity and selectivity.The outstanding feature of the assay stems from the dramatic Raman enhancement effect of the 50 nm-sized gold nanoparticles(AuNPs)towards the pesticides and simultaneously the background-free Raman signal of the nitrile group in the so-called Raman-silent region(1800-2800 cm-1).This bf-SERS assay was applied to evaluate the penetration effects of nitrile-bearing pesticides and monitor their residues in soybean leaves after rinsing with various solutions,providing a reliable tool for guiding the safe use of nitrile-bearing pesticides in agriculture. 展开更多
关键词 Nitrile-bearing pesticide residues Background-free SERS In-situ detection Chemical sensing Food safety
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In-situ quality monitoring in LPBF via melt-pool radiation:Compressive sampling and deep feature extraction 认领 引用 被引量：1
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作者 Hanxiang Zhou Yongqiang Yang +5 位作者 Vyacheslav Trofimov Hui Li Zibin Liu Yunmian Xiao Tuixin Chen Changhui Song 《Additive Manufacturing Frontiers》 CAS CSCD 2026年第2期26-38,共13页
In-situ monitoring methods and deep learning models are increasingly being used for the quality assessment of parts fabricated using laser powder bed fusion to overcome the limitations of poor process repeatability.Ho... In-situ monitoring methods and deep learning models are increasingly being used for the quality assessment of parts fabricated using laser powder bed fusion to overcome the limitations of poor process repeatability.However,the massive data collection required for part-quality monitoring results in high transmission loads and storage costs.To address this problem,this study utilized the compressed sensing theory to acquire compressed photodiode signals.These signals were then used to train and test convolutional neural networks(CNN)to identify the lack-of-fusion,normal,and keyhole modes.At a compressive-sampling rate of 25%,the classification accuracy decreased from 93.1%(raw signals)to 79.3%.However,increasing the compression rate from 25%to 90%did not significantly decrease the classification accuracy.The linear mapping of the raw signal via a Gaussian measurement matrix causes coordinate information folding,thereby impairing the representation of latent features.Therefore,Gaussian process modeling was adopted for the features extracted using a pretrained CNN to mitigate the temporal information collapse and allow the compressed signals to achieve an accuracy comparable to that of the raw data.Furthermore,the sparsity and rank complexity of the melt-pool radiation signals were evaluated using sparse representation and principal component analysis. 展开更多
关键词 Laser powder bed fusion Compressive sampling In-situ quality monitoring Convolutional neural network Gaussian process
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In-situ environmental monitoring for deep-sea polymetallic nodule mining:Status,challenges,and future directions 认领 引用 被引量：1
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作者 Xiang Chen Zhihan Fan +6 位作者 Yonggang Jia Zhicheng Zhang Xiao Wang Xu Guo Xiaojun Zhuo Hao Zheng Yuwei Liu 《International Journal of Mining Science and Technology》 SCIE EI CAS CSCD 2026年第5期1041-1059,共19页
The prospective mining of deep-sea polymetallic nodules,a source of strategic critical metals,could cause irreversible damage to fragile deep-sea ecosystems,sparking global scientific,political,and ethical controversi... The prospective mining of deep-sea polymetallic nodules,a source of strategic critical metals,could cause irreversible damage to fragile deep-sea ecosystems,sparking global scientific,political,and ethical controversies.Consequently,establishing a scientific,credible,and efficient in-situ environmental monitoring system is a core prerequisite for achieving sustainable resource development and effective environmental regulation.This paper reviews the latest progress in in-situ environmental monitoring for polymetallic nodule mining(PNM).First,integrating future commercial mining workflows with current pilot-scale engineering practices,this paper outlines the multi-source environmental disturbances of PNM.The review then analyses impact mechanisms and monitoring strategies for five key areas:physical oceanography,marine chemistry,geology,marine biology,and sediment plumes.Finally,by assessing typical international monitoring campaigns,the paper distils key scientific findings and identifies core challenges.In-situ monitoring indicates that under the specific environmental conditions of PNM areas,mining plumes primarily propagate as near-bottom gravity currents,and that damage to benthic habitats can persist for decades.However,significant technical bottlenecks and scientific uncertainties remain in quantifying micro-scale processes,conducting continuous long-term observation of ecological recovery,and enabling real-time fusion of multi-platform data. 展开更多
关键词 Deep-sea mining Plumes Monitoring In-situ technologies Ecological impacts
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Biodegradation of polycyclic aromatic hydrocarbons:The role of ligninolytic enzymes and advances of biosensors for in-situ monitoring 认领 引用 被引量：3
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作者 Eshet Lakew Tesfaye Fekadu Mazengiaw Bogale Tadele Assefa Aragaw 《Emerging Contaminants》 CSCD 2025年第1期266-285,共20页
Polycyclic aromatic hydrocarbons(PAHs)and their derivatives are common pollutants that require effective remediation techniques.PAH biodegradation using bacterial and fungal enzymes has gained popularity because it ef... Polycyclic aromatic hydrocarbons(PAHs)and their derivatives are common pollutants that require effective remediation techniques.PAH biodegradation using bacterial and fungal enzymes has gained popularity because it effectively removes these contaminants.Ligninolytic enzymes(LEs),such as laccase(Lac),lignin peroxidase(LiP),manganese peroxidase(MnP),and versatile peroxidases(VPs),have been studied for their role in PAHs biodegradation.These enzymes,produced by different living organisms,have demonstrated significant potential in degrading complex PAH structures,contributing to cleaner and more sustainable remediation techniques.This review evaluates the biodegradation capacity of PAHs using different strains and/or their LEs and provides an in-depth analysis of their mechanisms and removal efficiencies.In addition,the fundamental catalytic mechanisms governing the biodegradation of PAHs and factors that must be optimized to promote effective breakdown and detoxification are highlighted.This review also highlights recent biosensor developments that provide enhanced sensitivity and specificity for PAH detection.Although some LE-producing strains are efficient in completely biodegrading certain PAH types,further research is needed to explore the complete biodegradation of PAHs with higher molecular structures using genetically modified strains or their LEs.Despite progress,challenges remain in optimizing enzyme activity and integrating biosensors into large-scale use.Future research should focus on enhancing stability and improving field deployment for better environmental monitoring. 展开更多
关键词 Ligninolytic enzymes PAHs Biodegradation Catalytic mechanism In-situ monitoring
Electric charge induction monitoring of deformation and failure behavior of igneous rock:Laboratory test and field application 认领 引用 被引量：3
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作者 Wei Wang Yishan Pan +5 位作者 Hongrui Zhao Yonghui Xiao Xiaoliang Li Xinyang Bao Yan Liu Jinming Wang 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第2期861-886,共26页
To advance the theoretical understanding,technological development,and field application of electric charge induction for monitoring rock deformation and failure,this study investigates the induced electric charge gen... To advance the theoretical understanding,technological development,and field application of electric charge induction for monitoring rock deformation and failure,this study investigates the induced electric charge generated during the deformation and failure of igneous rocks.The charge originates mainly from a combination of electrical polarization and triboelectric effects.Through laboratory experiments,we analyzed the time-frequency evolution of induced electric charge signals and identified relevant monitoring parameters.An online downhole electric charge induction monitoring system was developed and validated in the field.Experimental results show that the dominant frequency range of induced electric charge signals generated during igneous rock deformation and failure lies between 0 and 23 Hz,and a low-pass finite impulse response(FIR)filter effectively suppresses noise.Optimal sensor distances for monitoring cubic and cylindrical specimens were determined to be 17 mm and 13 mm,respectively.We proposed early warning indicators,including the maximum absolute value of the induced electric charge,the arithmetic mean value,the distribution dispersion coefficient,and the cumulative sum value.In field application,time-domain curves and spatial distribution charts of these warning indicators correspond well with changes in abutment stress ahead of the mining face,offering indirect insights into local stress evolution.This research provides technical and equipment support for the application of electric charge induction technology to monitoring and early warning of coal bursts. 展开更多
关键词 Time-frequency domain evolution law Noise reduction filtering Electric charge induction monitoring parameters Early warning index Online downhole electric charge induction monitoring system
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Real-time evaluation of molten-pool dynamic stability in laser-directed energy deposition based on interframe similarity monitoring 认领 引用 被引量：1
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作者 Hui Xiao Mingtao Wu +4 位作者 Yanqin Li Jinhai Wang Wenjia Xiao Kuanfang He Lijun Song 《Additive Manufacturing Frontiers》 CAS CSCD 2026年第2期132-143,共12页
The dynamic stability of the molten pool during laser-directed energy deposition(L-DED)critically affects the forming quality and material properties.However,existing monitoring methods primarily focus on the static g... The dynamic stability of the molten pool during laser-directed energy deposition(L-DED)critically affects the forming quality and material properties.However,existing monitoring methods primarily focus on the static geometric features of the molten pool,such as width,height,area,and geometric center,yet fail to capture its instantaneous morphological evolution.This work established a lightweight real-time monitoring framework that integrates YOLOv8n and the perceptual Hashing(PHash)algorithm to monitor the dynamic stability of the molten pool in l-DED online.Furthermore,the molten-pool interframe similarity(MPIFS)is developed as a novel metric to quantify dynamic stability.The experimental results show that the YOLOv8n-PHash framework achieves a processing speed of 85 FPS(3.15×faster than U-Net)and reduces computational latency to 10.87 ms/frame,which is 6×faster than the structural similarity(SSIM),satisfying industrial closed-loop control requirements.The MPIFS metric shows three times higher sensitivity to molten-pool fluctuations than the static geometric parameters,with a standard deviation of 2.8%for MPIFS versus 0.15%-0.98%for the width and height.This enhanced sensitivity significantly improves the anomaly detection capabilities.In addition,a strong correlation among the process,molten-pool stability,and microstructure was confirmed.An appropriately low laser power was shown to improve MPIFS stability,resulting in smooth interfaces and uniform fine grains.This work provides a novel approach for the online monitoring of molten-pool stability and microstructure prediction in L-DED additive manufacturing. 展开更多
关键词 Additive manufacturing Online monitoring Molten-pool stability Microstructure
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Online monitoring system of preloads for multiple bolted joints in wind turbines 认领 引用
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作者 Zhongwei Zhang Jianhua Liu +4 位作者 Hao Gong Jiayu Huang Kai Wang Kai Liu Linlin Cao 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2026年第3期19-28,共10页
Bolted joints are critical components in wind turbine structures,particularly at the interface between the hub and pitch bearings.Loosening or failure of these joints can lead to bolt fatigue fractures,posing serious ... Bolted joints are critical components in wind turbine structures,particularly at the interface between the hub and pitch bearings.Loosening or failure of these joints can lead to bolt fatigue fractures,posing serious safety risks and causing significant economic losses.To address this issue,a real-time online monitoring system was developed to visualize and track the preload status of multiple bolted joints in wind turbines.The system integrates an ultrasonic acquisition module,data transmission module,preload calculation module,and data processing module.The ultrasonic module measures the time-of-flight(TOF)variation within each bolt,which correlates with preload changes.To ensure reliable performance under fluctuating outdoor temperatures,a temperature compensation model was introduced in the preload calculation module.The system's accuracy and reliability were first validated in laboratory conditions.Subsequently,it was deployed on a utility-scale wind turbine in Shanxi Province,China,where it continuously monitored the preload of bolts connecting the hub and pitch bearings over a seven-month period.The results confirmed that the system could reliably detect preload variations in real time.Future improvements will focus on enhancing ultrasonic signal strength in corroded bolts,simplifying the calibration process,and reducing system cost. 展开更多
关键词 Wind turbine Preload monitoring Ultrasonic method Temperature compensation Structural health monitoring Hub and pitch bearings
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Experimental study on real-time monitoring of surrounding rock 3D wave velocity structure and failure zone in deep tunnels 认领 引用
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作者 Hongyun Yang Chuandong Jiang +4 位作者 Yong Li Zhi Lin Xiang Wang Yifei Wu Wanlin Feng 《International Journal of Mining Science and Technology》 SCIE EI CAS CSCD 2026年第2期423-437,共15页
An innovative real-time monitoring method for surrounding rock damage based on microseismic time-lapse double-difference tomography is proposed for delayed dynamic damage identification and insufficient detection of a... An innovative real-time monitoring method for surrounding rock damage based on microseismic time-lapse double-difference tomography is proposed for delayed dynamic damage identification and insufficient detection of adverse geological conditions in deep-buried tunnel construction.The installation techniques for microseismic sensors were optimized by mounting sensors at bolt ends which significantly improves signal-to-noise ratio(SNR)and anti-interference capability compared to conventional borehole placement.Subsequently,a 3D wave velocity evolution model that incorporates construction-induced disturbances was established,enabling the first visualization of spatiotemporal variations in surrounding rock wave velocity.It finds significant wave velocity reduction near the tunnel face,with roof and floor damage zones extending 40–50 m;wave velocities approaching undisturbed levels at 15 m ahead of the working face and on the laterally undisturbed side;pronounced spatial asymmetry in wave velocity distribution—values on the left side exceed those on the right,with a clear stress concentration or transition zone located 10–15 m;and systematically lower velocities behind the face than in front,indicating asymmetric rock damage development.These results provide essential theoretical support and practical guidance for optimizing dynamic construction strategies,enabling real-time adjustment of support parameters,and establishing safety early warning systems in deep-buried tunnel engineering. 展开更多
关键词 Deep-buried tunnel Microseismic monitoring Wave velocity tomography Surrounding rock damage zone Real-time monitoring
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Emergency monitoring index evaluation for collapse scenarios:A TriFAHPDBN model addressing data-scarce conditions 认领 引用
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作者 LIU Jikun WANG Chenghu +2 位作者 GAO Guiyun MA Haitao YANG Xiaolin 《Journal of Mountain Science》 SCIE CSCD 2026年第7期3241-3258,共18页
In the initial phase of emergency response to geological disasters,decision-makers are frequently challenged by extreme environmental uncertainty and a critical shortage of quantitative monitoring data.To bridge this ... In the initial phase of emergency response to geological disasters,decision-makers are frequently challenged by extreme environmental uncertainty and a critical shortage of quantitative monitoring data.To bridge this decision-making gap prior to the full establishment of monitoring networks,this study systematically selects emergency monitoring indicators by first characterizing geological disasters and identifying monitoring requirements through a literature review.An evaluation model is subsequently developed,comprising four primary factors—monitorability,timeliness,sensitivity,and feasibility—and nine secondary factors related to accuracy,stability,monitoring frequency,and sensitivity to catastrophic geological changes.The triangular fuzzy analytic hierarchy process(TriFAHP)is employed to address the inherent fuzziness in expert judgment,while a deep belief network(DBN)extracts expert decision features and generates an individual correction coefficient(β)to optimize weight allocation.The model yields a consistency ratio(CR)of 0.0329,confirming high reliability of the derived weights.Factor weights are ranked as follows:monitorability(0.3808)>timeliness(0.3353)>sensitivity(0.1874)>feasibility(0.0966).Secondary factors,including accuracy(0.2083),monitoring frequency(0.2682),and indicator sensitivity to Disaster abrupt changes(0.0948),significantly influence the model’s early warning efficacy.The model is applied to an emergency monitoring scenario involving slope collapse,evaluating 16 commonly used indicators.Displacement,velocity,acceleration,and rainfall are identified as key monitoring indicators.These indicators are subsequently applied to the emergency monitoring of a slope collapse in Inner Mongolia,where they demonstrate effectiveness in supporting early warning decisions,thereby validating the model’s practicality and reliability.Further analysis reveals a decision-making tendency among experts to prioritize monitorability,while placing relatively less intrinsic value on emergency response speed.This study advances the theoretical framework of geological disaster management by shifting the focus from postdeployment data analysis to pre-deployment strategic configuration,offering a systematic and quantitative indexing tool to solve the initial monitoring configuration problem under data-scarce and highly uncertain emergency conditions. 展开更多
关键词 Collapse Emergency monitoring Monitoring index Triangular fuzzy analytic hierarchy process Deep belief network
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A condition control-based dual-reliability evaluation for structural health monitoring 认领 引用
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作者 Qiuhui XU Shenfang YUAN +1 位作者 Jian CHEN Hutao JING 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第1期247-262,共16页
It is well recognized that Structural Health Monitoring(SHM)reliability evaluation is a key aspect that needs to be urgently addressed to promote the wide application of SHM methods.However,the existing studies typica... It is well recognized that Structural Health Monitoring(SHM)reliability evaluation is a key aspect that needs to be urgently addressed to promote the wide application of SHM methods.However,the existing studies typically transfer the Non-Destructive Testing/Evaluation(NDT/E)reliability metrics to SHM without a systematic analysis of where these metrics originated.Seldom attentions are paid to the evaluation conditions which are very important to apply these metrics.Aimed at this issue,a new condition control-based Dual-Reliability Evaluation(Dual-RE)method for SHM is proposed.This new method is proposed based on a systematic analysis of the whole framework of reliability evaluation from instrument to NDT,and emphasis is paid to the evaluation condition control.Based on these analyses,considering the special online application scenario of SHM,the proposed Dual-RE method contains two key components:Integrated Sensor-based SHM-RE(IS-SHM-RE)and Critical Service Condition-based SHM-RE(CSC-SHM-RE).ISSHM-RE evaluates the reliability of integrated SHM sensor and system themselves under approximate repeatability conditions,while CSC-SHM-RE assesses SHM reliability under the dominant uncertainties during service,namely intermediate conditions.To demonstrate the Dual-RE,crack monitoring by using the Guided Wave-based-SHM(GW-SHM)on aircraft lug structures is taken as a case study.Both the crack detection and sizing performance are evaluated from accuracy and uncertainty. 展开更多
关键词 Crack detection and sizing Dual-reliability evaluation Evaluation condition control Guided wave-based monitoring Reliability evaluation Structural health monitoring
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In situ Multiple Optical Monitoring of Bulk Polymerization 认领 引用
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作者 ZHANG Ruiqing YIN Kuo +3 位作者 CHEN Yanjie GU Fan LIU Jian MA Xiang 《高等学校化学学报》 SCIE EI CAS CSCD 北大核心 2026年第5期247-253,共7页
Optical visualization provides a highly sensitive,non-invasive,and straightforward approach for the in situ monitoring of bulk polymerization processes.This paper synthesized a 9,14-diphenyl-9,14-dihydrodibenzo[a,c]ph... Optical visualization provides a highly sensitive,non-invasive,and straightforward approach for the in situ monitoring of bulk polymerization processes.This paper synthesized a 9,14-diphenyl-9,14-dihydrodibenzo[a,c]phenazine(DPAC)-based molecule,whose distinct excited-state conformational responses under different microenvironments enabled the monitoring of microscopic dynamic changes within the system.During the polymerization of methyl methacrylate(MMA),the system transfer from a liquid monomer to a solid polymer.Accompanying this process,the fluorescence of DPAC shifts from red to blue,reflecting the increase in local viscosity and the restriction of molecular motion.Subsequently,the gradual enhancement of phosphorescence and the extension of its lifetime indicate the rising rigidity of the polymer network.Through dual-channel monitoring based on ratio-metric fluores⁃cence and phosphorescence,this strategy makes the visual tracking of bulk polymerization feasible. 展开更多
关键词 In situ monitoring Bulk polymerization Vibration-induced emission
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Deformation warning of surrounding rock mass of underground powerhouse based on octree theory and microseismic monitoring 认领 引用
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作者 Linlu Dong Nuwen Xu +5 位作者 Peng Li Huabo Xiao Yonghong Li Yuepeng Sun Biao Li Tieshuan Zhao 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第2期1160-1176,共17页
The effective early warning of surrounding rock mass deformation is crucial in geotechnical engineering for ensuring the safety and stability of underground constructions.This study introduces a novel risk early warni... The effective early warning of surrounding rock mass deformation is crucial in geotechnical engineering for ensuring the safety and stability of underground constructions.This study introduces a novel risk early warning model based on multi-parameter fuzzy comprehensive evaluation,which quantitatively assesses the risk state of the surrounding rock mass.The microseismic(MS)monitoring system is set up for the underground powerhouse.The spatial and temporal distribution of MS events and the frequency characteristics of MS signals are analyzed during the top arch excavation.The early warning indices for characterizing MS spatial aggregation and frequency-energy dispersion are proposed based on the octree theory to assess the deformation of the surrounding rock mass.The risk warning model for the surrounding rock mass in underground engineering is developed through the integration of the formulated index and the frequency characteristics of MS signals.The results indicate that the multiparameter fuzzy comprehensive assessment model can achieve three-dimensional visualization of risk warnings for the surrounding rock mass.The quantitative results regarding warning time and potential deformation areas are highly consistent with the characteristics of MS precursors.These research results can provide an important reference for early warning of surrounding rock mass risk in similar underground projects. 展开更多
关键词 Underground powerhouse Octree theory Microseismic monitoring Early warning model
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