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  • Open Access

    ARTICLE

    Guided Wave Based Damage Detection Method for Aircraft Composite Structures under Varying Temperatures

    Dongyue Gao1, Yunlong Ma2, Zhanjun Wu3,*, Yuebin Zheng3, Hongbo Lu1

    Structural Durability & Health Monitoring, Vol.15, No.1, pp. 23-37, 2021, DOI:10.32604/sdhm.2021.013737

    Abstract Guided waves based damage detection methods using base signals offer the advantages of simplicity of signal generation and reception, sensitivity to damage, and large area coverage; however, applications of the technology are limited by the sensitivity to environmental temperature variations. In this paper, a Spearman Damage Index-based damage diagnosis method for structural health condition monitoring under varying temperatures is presented. First, a PZT sensor-based Guided wave propagation model is proposed and employed to analyze the temperature effect. The result of the analysis shows the wave speed of the Guided wave signal has higher temperature sensitivity than the signal fluctuation features.… More >

  • Open Access

    ARTICLE

    Comparative Analysis of Wavelet Transform for Time-Frequency Analysis and Transient Localization in Structural Health Monitoring

    Ahmed Silik1,2, Mohammad Noori3,*, Wael A. Altabey1,4, Ramin Ghiasi1, Zhishen Wu1

    Structural Durability & Health Monitoring, Vol.15, No.1, pp. 1-22, 2021, DOI:10.32604/sdhm.2021.012751

    Abstract A critical problem facing data collection in structural health monitoring, for instance via sensor networks, is how to extract the main components and useful features for damage detection. A structural dynamic measurement is more often a complex time-varying process and therefore, is prone to dynamic changes in time-frequency contents. To extract the signal components and capture the useful features associated with damage from such non-stationary signals, a technique that combines the time and frequency analysis and shows the signal evolution in both time and frequency is required. Wavelet analyses have proven to be a viable and effective tool in this… More >

  • Open Access

    ARTICLE

    Data Fusion about Serviceability Reliability Prediction for the Long-Span Bridge Girder Based on MBDLM and Gaussian Copula Technique

    Xueping Fan*, Guanghong Yang, Zhipeng Shang, Xiaoxiong Zhao, Yuefei Liu*

    Structural Durability & Health Monitoring, Vol.15, No.1, pp. 69-83, 2021, DOI:10.32604/sdhm.2021.011922

    Abstract This article presented a new data fusion approach for reasonably predicting dynamic serviceability reliability of the long-span bridge girder. Firstly, multivariate Bayesian dynamic linear model (MBDLM) considering dynamic correlation among the multiple variables is provided to predict dynamic extreme deflections; secondly, with the proposed MBDLM, the dynamic correlation coefficients between any two performance functions can be predicted; finally, based on MBDLM and Gaussian copula technique, a new data fusion method is given to predict the serviceability reliability of the long-span bridge girder, and the monitoring extreme deflection data from an actual bridge is provided to illustrated the feasibility and application… More >

  • Open Access

    ARTICLE

    Experimental Study on Permeability Characteristics of Geotubes for Seepage Analysis on Safety Assessment of Dams

    Xiaolei Man1,*, Ganggang Sha2, Shuigen Hu1, Hui Bao1, Guangying Liu1

    Structural Durability & Health Monitoring, Vol.14, No.4, pp. 339-353, 2020, DOI:10.32604/sdhm.2020.013001

    Abstract Geotubes are heterogeneous structures composed of filling sand and bag material, and its permeability characteristics are different from that of filling sand. The uncertainty of geotubes permeability characteristics results in the failure of seepage analysis of geotube dams, which restricts the safety assessment of the dams. As the basis of the study on the seepage mechanism of the geotubes, the influence of particle grading on permeability coefficient of filling sand and sand covered with geotextiles were explored by the permeability tests of filling sand with different particle grading under the condition of sand covered with or without geotextiles. And the… More >

  • Open Access

    ARTICLE

    Research on Concrete Beam Crack Recognition Algorithm Based on Block Threshold Value Image Processing

    Wenting Qiao1,2, Xiaoguang Wu1,*, Wen Sun3, Qiande Wu4,*

    Structural Durability & Health Monitoring, Vol.14, No.4, pp. 355-374, 2020, DOI:10.32604/sdhm.2020.011479

    Abstract To solve the problem that the digital image recognition accuracy of concrete structure cracks is not high under the condition of uneven illumination and complex surface color of concrete structure, this paper has proposed a block segmentation method of maximum entropy threshold based on the digital image data obtained by the ACTIS automatic detection system. The steps in this research are as follows: 1. The crack digital images of concrete specimens with typical features were collected by using the Actis system of KURABO Co., Ltd., of Japan in the concrete beam bending test. 2. The images are segmented into blocks… More >

  • Open Access

    ARTICLE

    A Deep Learning Based Approach for Response Prediction of Beam-like Structures

    Tianyu Wang1, Wael A. Altabey1,2, Mohammad Noori3,*, Ramin Ghiasi1

    Structural Durability & Health Monitoring, Vol.14, No.4, pp. 315-338, 2020, DOI:10.32604/sdhm.2020.011083

    Abstract Beam-like structures are a class of common but important structures in engineering. Over the past few centuries, extensive research has been carried out to obtain the static and dynamic response of beam-like structures. Although building the finite element model to predict the response of these structures has proven to be effective, it is not always suitable in all the application cases because of high computational time or lack of accuracy. This paper proposes a novel approach to predict the deflection response of beam-like structures based on a deep neural network and the governing differential equation of Euler-Bernoulli beam. The Prandtl-Ishlinskii… More >

  • Open Access

    ARTICLE

    Damage Detection for CFRP Based on Planar Electrical Capacitance Tomography

    Wenru Fan, Chi Wang*

    Structural Durability & Health Monitoring, Vol.14, No.4, pp. 303-314, 2020, DOI:10.32604/sdhm.2020.011009

    Abstract Due to the widespread use of carbon fiber reinforced polymer/plastic (CFRP), the nondestructive structural health monitoring for CFRP is playing an increasingly essential role. As a nonradiative, noninvasive and nondestructive detection technique, planar electrical capacitance tomography (PECT) electrodes array is employed in this paper to reconstruct the damage image according to the calculated dielectric constant changes. The shape and duty ratio of PECT electrodes are optimized according to the relations between sensitivity distribution and the dielectric constant of different anisotropic degrees. The sensitivity matrix of optimized PECT sensor is more uniform as the result shows, because the sensitivity of insensitivity… More >

  • Open Access

    ARTICLE

    Ambient Vibration Testings and Field Investigations of Two Historical Buildings in Europe

    Ehsan Noroozinejad Farsangi1,*, Aleksandra Bogdanovic2, Zoran Rakicevic2, Angela Poposka2, Marta Stojmanovska2

    Structural Durability & Health Monitoring, Vol.14, No.4, pp. 283-301, 2020, DOI:10.32604/sdhm.2020.010564

    Abstract In this study, the methodology and results of ambient vibration-based investigations of the historical Tash Mosque in Kosovo and a 3-story historical building in Bulgaria are presented. The investigations include full-scale in situ testing of both structures due to ambient vibrations induced by micro-seismic, wind, traffic, and other human activities. To this aim, Ranger seismometers and Kinemetric products were used. Measurements were performed in both horizontal directions in several points along the structures’ height utilizing a high-speed data acquisition device. All recorded data have been analyzed and processed by the software developed at IZIIS, and then the processed data were… More >

  • Open Access

    ARTICLE

    Long-Term Bending Behaviour of Prestressed Glulam Bamboo-Wood Beam Based on Creep Effect

    Nan Guo1,*, Huajing Xiong1, Mingtao Wu1, Hongliang Zuo1, Fengguo Jiang2, Xiaofeng Hou3, Dabo Xin1

    Structural Durability & Health Monitoring, Vol.14, No.3, pp. 229-248, 2020, DOI:10.32604/sdhm.2020.09104

    Abstract Creep is an important characteristic of bamboo and wood materials under long-term loading. This paper aims to study the long-term bending behaviour of prestressed glulam bamboo-wood beam (GBWB). For this, 14 pre-stressed GBWBs were selected and subjected to a long-term loading test for 60 days. Then, a comparative analysis was performed for the effects of pretension values, the number of pre-stressed wires, and long-term load on the stress variation of the steel wire and the long-term deflection of the beam midspan. The test results showed that with the number of prestressed wires increasing, the total stress of the steel wire… More >

  • Open Access

    ARTICLE

    Comparison of Fuzzy Synthetic Evaluation and Field Measurement of Internal Defects in Assembled Concrete Detected by Ultrasonic Waves

    Hua Yan1,2,3,*, Bo Song1,3, Mansheng Wang4

    Structural Durability & Health Monitoring, Vol.14, No.3, pp. 265-282, 2020, DOI:10.32604/sdhm.2020.06403

    Abstract Analyze and compare the basic principles of ultrasonic detection of voids in concrete, choose ZBL-U520/510 non-metallic ultrasonic detector, and use the opposite detection method to test the void size in the joints of prefabricated concrete structures. The results show that: ultrasonic method by testing the waveform, sound, and speed of sound analysis can effectively determine the position of the defect, and through the conversion formula can estimate the void size. Ultrasonic parameters are used to distinguish the internal defects of Assembly concrete. Sometimes there are different results with different parameters. It is difficult for engineers to directly determine the internal… More >

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