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  • Open Access


    Mechanism of the Passive Tap-Scan Damage Detection Method

    Zhuyou Hu1, Ping Lin2,3, He Guo2,3, Yumei Zhang2,3, Zhihai Xiang1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.1, pp. 1-2, 2023, DOI:10.32604/icces.2023.09475

    Abstract In recent years, the vehicle scanning method for bridge inspection has drawn much attention by researchers because of its simple operation and high efficiency [1]. Besides the natural frequency, modal modes and other information of bridges, damage can also be detected in this way [2]. For example, we proposed the passive tap-scan damage detection method [3], which scans the bridge with the tapping force generated by a toothed wheel, mimicking the hunting behavior of woodpeckers. In this talk, we will discuss two critical aspects related to the mechanism of this method. One is the quantitative relationship between the vehicle acceleration… More >

  • Open Access


    Automatic Examination of Condition of Used Books with YOLO-Based Object Detection Framework

    Sumin Hong1, Jin-Woo Jeong2,*

    Computer Systems Science and Engineering, Vol.47, No.2, pp. 1611-1632, 2023, DOI:10.32604/csse.2023.038319

    Abstract As the demand for used books has grown in recent years, various online/offline market platforms have emerged to support the trade in used books. The price of used books can depend on various factors, such as the state of preservation (i.e., condition), the value of possession, and so on. Therefore, some online platforms provide a reference document to evaluate the condition of used books, but it is still not trivial for individual sellers to determine the price. The lack of a standard quantitative method to assess the condition of the used book would confuse both sellers and consumers, thereby decreasing… More >

  • Open Access


    A Deep Learning-Based Approach for Road Surface Damage Detection

    Bakhytzhan Kulambayev1,*, Gulbakhram Beissenova2,3, Nazbek Katayev4, Bayan Abduraimova5, Lyazzat Zhaidakbayeva2, Alua Sarbassova6, Oxana Akhmetova7, Sapar Issayev4, Laura Suleimenova8, Syrym Kasenov6, Kunsulu Shadinova9, Abay Shyrakbayev10

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3403-3418, 2022, DOI:10.32604/cmc.2022.029544

    Abstract Timely detection and elimination of damage in areas with excessive vehicle loading can reduce the risk of road accidents. Currently, various methods of photo and video surveillance are used to monitor the condition of the road surface. The manual approach to evaluation and analysis of the received data can take a protracted period of time. Thus, it is necessary to improve the procedures for inspection and assessment of the condition of control objects with the help of computer vision and deep learning techniques. In this paper, we propose a model based on Mask Region-based Convolutional Neural Network (Mask R-CNN) architecture… More >

  • Open Access


    The Coupled Effect of Temperature Changes and Damage Depth on Natural Frequencies in Beam-Like Structures

    Tareq Al-hababi1,2, Nizar Faisal Alkayem1,3, Li Cui4, Shixiang Zhang5, Cong Liu6, Maosen Cao1,2,*

    Structural Durability & Health Monitoring, Vol.16, No.1, pp. 15-35, 2022, DOI:10.32604/sdhm.2022.020418

    Abstract A significant amount of research is concerned with dynamic modal parameters for damage detection of structural conditions due to their simplicity in use and feasibility. However, their use for damage detection should be performed with special attention, particularly in operational and environmental conditions subjected to temperature changes. Beams in construction industries experience different loading types, such as temperature changes leading to crack initiation and propagation. Changed physical and dynamic properties such as natural frequencies and mode shapes indicate that damage has occurred within the structures. In this study, vibration analysis of cantilever and cantilever simply supported beams has been carried… More >

  • Open Access


    Fatigue Crack Detection in Steel Plates Using Guided Waves and an Energy-Based Imaging Approach

    Mingyu Lu1,*, Kaige Zhu1, Qiang Wang2

    Structural Durability & Health Monitoring, Vol.15, No.3, pp. 207-225, 2021, DOI:10.32604/sdhm.2021.017720

    Abstract The increasing use of ultrasonic guided waves (GWs) has been shown to have great potential for the detection of fatigue cracks and non-fatigue type damages in metallic structures. This paper reports on a study demonstrating an energy-based damage imaging approach in which signal characteristics identified through relative time differences by fatigue crack (RTD/f) through different sensor paths are used to estimate the location of fatigue crack in steel plates based on GWs generated by an active piezoceramic transducer (PZT) network. The propagation of GWs in the original 10 mm-thick plate was complicated due to its thick geometry, wave dispersion, boundary… More >

  • Open Access


    Damage Detection in CFST Column by Simulation of Ultrasonic Waves Using STFT-Based Spectrogram and Welch Power Spectral Density Estimate

    Nadom K. Mutlib1,*, Muna N. Ismael1, Shahrizan Baharom2

    Structural Durability & Health Monitoring, Vol.15, No.3, pp. 227-246, 2021, DOI:10.32604/sdhm.2021.010725

    Abstract Structural health monitoring employs different tools and techniques to provide a prediction for damages that occur in various structures. Damages such as debond and cracks in concrete-filled steel tube column (CFST) are serious defects that threaten the integrity of the structural members. Ultrasonic waves monitoring applied to the CFST column is necessary to detect damages and quantify their size. However, without appropriate signal processing tools, the results of the monitoring process could not be crucial. In this research, a monitoring process based on a Multiphysics numerical simulation study was carried out. Two signal processing tools: short time Fourier transform (STFT)… More >

  • Open Access


    Condition Evaluation in Steel Truss Bridge with Fused Hilbert Transform, Spectral Kurtosis, and Bandpass Filter

    Anshul Sharma1,*, Pardeep Kumar1, Hemant Kumar Vinayak2, Suresh Kumar Walia3

    Structural Durability & Health Monitoring, Vol.15, No.2, pp. 139-165, 2021, DOI:10.32604/sdhm.2021.012316

    Abstract This study is concerned with the diagnosis of discrepancies in a steel truss bridge by identifying dynamic properties from the vibration response signals of the bridges. The vibration response signals collected at bridges under three different vehicular speeds of 10 km/hr, 20 km/hr, and 30 km/hr are analyzed using statistical features such as kurtosis, magnitude of peak-to-peak, root mean square, crest factor as well as impulse factor in time domain, and Stockwell transform in the time-frequency domain. The considered statistical features except for kurtosis show uncertain behavior. The Stockwell transform showed low-resolution outcomes when the presence of noise in the… More >

  • Open Access


    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


    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


    Road Damage Detection and Classification Using Mask R-CNN with DenseNet Backbone

    Qiqiang Chen1, *, Xinxin Gan2, Wei Huang1, Jingjing Feng1, H. Shim3

    CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2201-2215, 2020, DOI:10.32604/cmc.2020.011191

    Abstract Automatic road damage detection using image processing is an important aspect of road maintenance. It is also a challenging problem due to the inhomogeneity of road damage and complicated background in the road images. In recent years, deep convolutional neural network based methods have been used to address the challenges of road damage detection and classification. In this paper, we propose a new approach to address those challenges. This approach uses densely connected convolution networks as the backbone of the Mask R-CNN to effectively extract image feature, a feature pyramid network for combining multiple scales features, a region proposal network… More >

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