Structural Health Monitoring-An International Journal最新文献_第8页

Dynamic characteristics analysis and the identification signal of the horizontal tail drive shaft system with the ballistic impact damage of a helicopter 直升机水平尾翼驱动轴系统弹道冲击损伤动态特性分析及识别信号

IF 6.6 2区工程技术

Structural Health Monitoring-An International Journal Pub Date : 2023-07-06 DOI: 10.1177/14759217231178161

C. Zhang, Rupeng Zhu, Dan Wang, P. Cao, Jun Yu Li, Jun Yu Li, Pengkun Li

{"title":"Dynamic characteristics analysis and the identification signal of the horizontal tail drive shaft system with the ballistic impact damage of a helicopter","authors":"C. Zhang, Rupeng Zhu, Dan Wang, P. Cao, Jun Yu Li, Jun Yu Li, Pengkun Li","doi":"10.1177/14759217231178161","DOIUrl":"https://doi.org/10.1177/14759217231178161","url":null,"abstract":"The ballistic impact damage (BID) will change the dynamic characteristics of the horizontal tail drive shaft system (HTDSS) and will directly affect the flight safety of the helicopter. Aiming at the problem of how the BID affects the dynamic characteristics of the HTDSS and how to identify the BID in time, the dynamic characteristics of the HTDSS with the BID are studied in this paper. The BID is simplified as the ideal geometric damage, and the calculation method of the BID is given. The finite element dynamic equation of the HTDSS with the BID is established, and the effect mechanism of the ballistic impact parameters on the dynamic characteristics is revealed. The result shows: the BID causes the mass loss and the stiffness asymmetric of the ballistic impact position of the TDS; the eccentric excitation introduced by the BID leads to the obvious increase of the system response, and the stiffness asymmetry leads to the super-harmonic resonance of the system. The obvious increase of system response and the appearance of 2Ω frequency component can be used as the identification signal of the BID. Finally, the experiment was carried out, which verified the correctness of the established dynamic model, and explained the reliability of the proposed identification signal of the BID.","PeriodicalId":51184,"journal":{"name":"Structural Health Monitoring-An International Journal","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2023-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41308847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Nondestructive millimeter-scale void detection for thick steel-shell–concrete interface of immersed tube tunnel: case study 沉管隧道厚钢壳-混凝土界面毫米级孔隙无损检测实例研究

IF 6.6 2区工程技术

Structural Health Monitoring-An International Journal Pub Date : 2023-07-05 DOI: 10.1177/14759217231181419

Song-hui Li, Guoqing Liu, Yan Zhang, Hongbo Zhao, S. Feng, Fanzi Wu

{"title":"Nondestructive millimeter-scale void detection for thick steel-shell–concrete interface of immersed tube tunnel: case study","authors":"Song-hui Li, Guoqing Liu, Yan Zhang, Hongbo Zhao, S. Feng, Fanzi Wu","doi":"10.1177/14759217231181419","DOIUrl":"https://doi.org/10.1177/14759217231181419","url":null,"abstract":"The structural form of sandwich-structured immersed tunnel (SSIT) can be complex. During the casting of self-compacting concrete, creating void defects between the steel shell and concrete interface is not difficult, which can adversely affect the overall safety and service life of the structure. However, detecting millimeter-scale voids covered by a thick steel plate is a technical challenge for current engineering industries. In this study, we proposed a nondestructive millimeter-scale void detection method for SSITs with thick steel shells by combining impact imaging and neutron methods. First, based on the near-source wavefield theory and count rate of thermal neutrons, the void area and depth calculation methods were derived theoretically, and then the coupling detection method and grading criteria for void severity were proposed. Additionally, the void detection performance was validated for a full-scale SSIT model test by blind detection. Finally, the proposed method was applied to the SSIT of the Shenzhen–Zhongshan bridge. The results showed that the proposed method could quantitatively determine the location and distribution pattern of a void; however, it could not accurately determine the void depth. In contrast, the neutron method could accurately calculate the void depth but had a large minimum detectable unit area. The proposed method could effectively compensate for the limitations of both methods. Statistically, the coincidence rate of the model test was 95%, 89%, and 87.5% for the void location, void area, and void depth, respectively, when the error range was ±2 mm. Using this method, 30 tubes in the Shenzhen–Zhongshan bridge were inspected, and by summarizing the void law, suggestions to improve the casting process were proposed, such as adjusting the casting speed. Meanwhile, the void probability decreased significantly. The proposed method provides an important basis for high-quality construction in SSIT projects.","PeriodicalId":51184,"journal":{"name":"Structural Health Monitoring-An International Journal","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49457841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Wind turbine pitch bearing fault detection with Bayesian augmented temporal convolutional networks 基于贝叶斯增强时间卷积网络的风机变桨轴承故障检测

IF 6.6 2区工程技术

Structural Health Monitoring-An International Journal Pub Date : 2023-07-03 DOI: 10.1177/14759217231175886

C. Zhang, Long Zhang

引用次数: 1

Period-refined CYCBD using time synchronous averaging for the feature extraction of bearing fault under heavy noise 基于时间同步平均的周期细化CYCBD用于强噪声下轴承故障特征提取

IF 6.6 2区工程技术

Structural Health Monitoring-An International Journal Pub Date : 2023-07-03 DOI: 10.1177/14759217231181514

Yonghao Miao, Huifang Shi, Chenhui Li, J. Hua, Jingyi Lin

{"title":"Period-refined CYCBD using time synchronous averaging for the feature extraction of bearing fault under heavy noise","authors":"Yonghao Miao, Huifang Shi, Chenhui Li, J. Hua, Jingyi Lin","doi":"10.1177/14759217231181514","DOIUrl":"https://doi.org/10.1177/14759217231181514","url":null,"abstract":"Deconvolution methods have been widely used in machinery fault diagnosis. However, their application would be confined due to the heavy noise and complex interference since the fault feature in the measured signal becomes rather weak. Time synchronous averaging (TSA) can enhance the periodic components and suppress the others by the comb filter function. And in the iteration process of the deconvolution methods, the filtered signal after each iteration can be further processed using TSA, and the time delay with maximum Gini index value is refined as the iterative period for the next iteration. Benefitting from these advantages, a period-refined maximum second-order cyclostationarity blind deconvolution (PRCYCBD) using TSA is proposed for the weak fault detection of rolling element bearings (REBs) in this paper. Firstly, without any prior knowledge, the proposed method which can estimate the period more accurately is more suitable for the weak fault detection of REBs, especially incipient fault. Secondly, TSA is firstly applied to estimate the iterative period rather than just depending on the Signal Noise Ratio (SNR) of the filtered signal in the iterative process . Furthermore, the new improvement frame can be expanded to other deconvolution methods using iterative algorithms, especially under heavy noise. Finally, a simulation with a slight bearing fault as well as two real experimental data including the vibration signal with the wind turbine bearing fault and the acoustical signal with the locomotive wheel bearing fault is used to verify the superiority of the proposed PRCYCBD compared with the traditional minimum entropy deconvolution and the traditional autocorrelation-improved cyclostationarity blind deconvolution.","PeriodicalId":51184,"journal":{"name":"Structural Health Monitoring-An International Journal","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48978213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A temperature-driven approach for quantitative assessment of strengthening effect of continuous bridges using structural health monitoring data 基于结构健康监测数据的连续桥梁加固效果的温度驱动定量评估方法

IF 6.6 2区工程技术

Structural Health Monitoring-An International Journal Pub Date : 2023-07-03 DOI: 10.1177/14759217231181882

Xiaoyu Gong, Xiaodong Song, C. Cai, Guangqi Li, Wen Xiong

{"title":"A temperature-driven approach for quantitative assessment of strengthening effect of continuous bridges using structural health monitoring data","authors":"Xiaoyu Gong, Xiaodong Song, C. Cai, Guangqi Li, Wen Xiong","doi":"10.1177/14759217231181882","DOIUrl":"https://doi.org/10.1177/14759217231181882","url":null,"abstract":"The stiffness degeneration of small to medium span bridges has been increasingly observed in recent years, and it has become a major concern of government and bridge owners. A quantitative evaluation method for the bridge performance with strengthening measures is highly desired. Due to the advantages of uninterrupted traffic and long-term tracking capability, a temperature-driven approach for characterization of the correlation pattern between bridge temperature-induced strains and bridge status was proposed in the present study by using structural health monitoring data. First, a theoretical solution of the simplified bridge model was derived to establish the correlation between the stress and deterioration extent under temperature gradient load. After a numerical simulation that combines the thermal–structural interaction analysis and the vehicle–bridge interaction analysis, the strain range was proposed as an assessment index to ensure the stability and effectiveness of the evaluation results. Next, the Generalized Extreme Studentized Deviate method was used for detecting the outliers. The statistical results of the assessment index for different strengthening methods were compared to evaluate the associated strengthening efficiency, and the associated equivalent section height was calculated for visualizing the bridge condition after strengthening measures were taken. The results demonstrated that the proposed temperature-driven method was able to quantitatively evaluate the bridge strengthening effects with a high efficiency.","PeriodicalId":51184,"journal":{"name":"Structural Health Monitoring-An International Journal","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47269262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Complex Bayesian group Lasso for defect imaging with guided waves 导波缺陷成像的复贝叶斯群Lasso

IF 6.6 2区工程技术

Structural Health Monitoring-An International Journal Pub Date : 2023-07-01 DOI: 10.1177/14759217221130132

Yue Hu, Yanping Zhu, F. Cui, Jing Xiao, Shuai Cao, Fucai Li, Wenjie Bao

引用次数: 0

Method using singular value decomposition and whale optimization algorithm to quantitatively detect multiple damages in turbine blades 方法采用奇异值分解和鲸鱼优化算法定量检测涡轮叶片的多重损伤

IF 6.6 2区工程技术

Structural Health Monitoring-An International Journal Pub Date : 2023-06-29 DOI: 10.1177/14759217231173589

Hu Jiang, Yongying Jiang, J. Xiang

{"title":"Method using singular value decomposition and whale optimization algorithm to quantitatively detect multiple damages in turbine blades","authors":"Hu Jiang, Yongying Jiang, J. Xiang","doi":"10.1177/14759217231173589","DOIUrl":"https://doi.org/10.1177/14759217231173589","url":null,"abstract":"Renewable energy has increased in recent years with a consequential increase in equipment maintenance. Maintenance costs can be reduced by structural health monitoring techniques especially for wind turbine (WT) blade damages. However, the majority are not suitable for on-line measurements and quantitative detections. A quantitative damage detection method is developed to identify multiple damages in a WT blade under in-service operation conditions. Firstly, singular value decomposition is applied to reveal singular information in the operating deflection shape (ODS), which can be treated as damage locations. Secondly, whale optimization algorithm is utilized for a damage severity decision about the natural frequency database between damage severities and natural frequencies, which are constructed by finite element method (FEM) simulations on the detected damage locations in the WT blade. The procedure is applied to FEM numerical simulations of a single WT blade with two and three damages. By adding a certain noise to the simulation dataset, the robustness of the present method is validated. Furthermore, the laser scanning vibrometer is employed to test the ODS as well as natural frequencies of WT blades to testify the performance of the multiple damage detection method. Results show that the present method is effective for the detection of multi-damage in WT blades with a certain noise robustness.","PeriodicalId":51184,"journal":{"name":"Structural Health Monitoring-An International Journal","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42236451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Crack detection in ultrahigh-performance concrete using robust principal component analysis and characteristic evaluation in the frequency domain 基于鲁棒主成分分析和频域特征评估的高性能混凝土裂缝检测

IF 6.6 2区工程技术

Structural Health Monitoring-An International Journal Pub Date : 2023-06-24 DOI: 10.1177/14759217231178457

Jixing Cao, Hai-jie He, Yao Zhang, Weigang Zhao, Zhi-guo Yan, Hehua Zhu

{"title":"Crack detection in ultrahigh-performance concrete using robust principal component analysis and characteristic evaluation in the frequency domain","authors":"Jixing Cao, Hai-jie He, Yao Zhang, Weigang Zhao, Zhi-guo Yan, Hehua Zhu","doi":"10.1177/14759217231178457","DOIUrl":"https://doi.org/10.1177/14759217231178457","url":null,"abstract":"Studying the crack propagation of ultrahigh-performance concrete (UHPC) helps us understand its mechanical mechanism and assess its structural performance. A novel method for crack separation and its characteristic evaluation was developed in this work. The proposed method introduces robust principal component analysis (RPCA) to decompose a data matrix from video streams stacked into a low-rank matrix and a sparse matrix, in which the sparse matrix represents the crack information. Compared with the cracks in a binary image, the obtained sparse matrix preserves rich crack information that can be used to quantify crack characteristics. The statistical characteristics of the crack area, the major and minor axes of the equivalent ellipse for crack regions, and the power spectral density are investigated and compared continuously. The proposed method is demonstrated by the crack development of UHPC under tensile loading. The analysis results indicate that RPCA can accurately separate cracks from the background. In the frequency domain by performing the Fourier transform of the sparse matrix, cracks are concentrated at small wavenumbers and the magnitude of small wavenumbers increases with an increase in the crack width. The relationship between the crack propagation and the stress–strain is also discussed. This work provides insight into the crack propagation of UHPC and an accumulated crack database for predicting the damage evolution of UHPC.","PeriodicalId":51184,"journal":{"name":"Structural Health Monitoring-An International Journal","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2023-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42087504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Structural nonlinear damage identification based on the information distance of GNPAX/GARCH model and its experimental study 基于GNPAX/GARCH模型信息距离的结构非线性损伤识别及其实验研究

IF 6.6 2区工程技术

Structural Health Monitoring-An International Journal Pub Date : 2023-06-22 DOI: 10.1177/14759217231176958

Heng Zuo, H. Guo

{"title":"Structural nonlinear damage identification based on the information distance of GNPAX/GARCH model and its experimental study","authors":"Heng Zuo, H. Guo","doi":"10.1177/14759217231176958","DOIUrl":"https://doi.org/10.1177/14759217231176958","url":null,"abstract":"In the structural health monitoring (SHM) of civil engineering, most of the structural damage is nonlinear damage, such as breathing cracks and bolt looseness. Under the excitation of external loads, the time-domain response data of the structure produced by these nonlinear damages have nonlinear features. In order to solve the time-domain nonlinear damage identification problem of complex structures, this paper proposes a nonlinear damage identification method based on the information distance of GNPAX/GARCH (general expression of system identification for linear and nonlinear with polynomial approximation and exogenous inputs/generalized autoregressive conditional heteroskedasticity) model. First, an order determination method based on Bayesian optimization to select the order of the GNPAX/GARCH model was proposed, and the GNPAX/GARCH model was established for damage identification. Then, the redundant structural items of GNPAX/GARCH model were removed by the model optimization method based on the structural pruning algorithm. Finally, the information distance of the GNPAX/GARCH model conditional heteroscedasticity series between the baseline state and test state was derived, and the structural damage source locations were determined according to the information distance. A three-story frame structure experiment and a stand structure experiment were used to verify the effectiveness of the proposed method. The results show that the proposed method can effectively identify the nonlinear damages caused by the component breathing crack and joint bolt looseness, verifying its robustness to the nonlinear damage identification of the multi-story and multi-span complex structures.","PeriodicalId":51184,"journal":{"name":"Structural Health Monitoring-An International Journal","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45991184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prestress monitoring for prestress tendons based on the resonance-enhanced magnetoelastic method considering the construction process 考虑施工过程的共振增强磁弹性法预应力监测

IF 6.6 2区工程技术

Structural Health Monitoring-An International Journal Pub Date : 2023-06-20 DOI: 10.1177/14759217231178453

Hong Zhang, Junfeng Xia, J. Zhou, L. Liao, Yangjian Xiao, Kai Tong, Senhua Zhang

{"title":"Prestress monitoring for prestress tendons based on the resonance-enhanced magnetoelastic method considering the construction process","authors":"Hong Zhang, Junfeng Xia, J. Zhou, L. Liao, Yangjian Xiao, Kai Tong, Senhua Zhang","doi":"10.1177/14759217231178453","DOIUrl":"https://doi.org/10.1177/14759217231178453","url":null,"abstract":"Monitoring the prestress of prestressed concrete structures is hard but helpful. The resonance-enhanced magnetoelastic (REME) sensor could measure the stress of steel, but the measurement is influenced by the stress history. Thus, after analyzing the principle of the REME method according to the electric circuit theorem, the construction process and stress history of different prestress tendons were discussed. The prestress monitoring experiment showed that the induced voltage–prestress relationship was influenced by the stress history. To evaluate the prestress, a prestress evaluation method suitable for prestress steel strands was proposed. Using the precise calibration method, the monitoring errors in the construction stage and the prestress loss stage were less than 13.26% and 5.97%. The simplified calibration method reduced the workload of the calibration by 50% while the monitoring error increased by less than 4%. In addition, using the self-calibration method can avoid the influence of the differences in steel strands, leading to higher monitoring accuracy.","PeriodicalId":51184,"journal":{"name":"Structural Health Monitoring-An International Journal","volume":null,"pages":null},"PeriodicalIF":6.6,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45917037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0