Open Access

ARTICLE

Structural Durability & Health Monitoring, Vol.16, No.3, pp. 195-212, 2022, DOI:10.32604/sdhm.2022.08886
Abstract In marine environments, the durability of reinforced concrete structures such as bridges, which suffer from the coupled effects of corrosion and fatigue damage, is significantly reduced. Fatigue loading can result in severe deterioration of the bonds between reinforcing steel bars and the surrounding concrete, particularly when reinforcing bars are corroded. Uniaxial tension testing was conducted under static loading and fatigue loading conditions to investigate the bonding characteristics between corroded reinforcing bars and concrete. An electrolyte corrosion technique was used to accelerate steel corrosion. The results show that the bond strength was reduced under fatigue loading, although the concrete did not… More >

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Structural Durability & Health Monitoring, Vol.16, No.3, pp. 213-233, 2022, DOI:10.32604/sdhm.2022.018293
Abstract Silos are strategical structures used to stockpile various types of granular materials. They are highly vulnerable to earthquake excitation and have been frequently reported to fail at a higher rate than any other industrial structure. The seismic response of silos within the near-fault region will suffer a complex combination of loadings due to the unique characteristics of the near-fault ground motions; which are usually associated with a large amplitude pulse at the beginning of either the velocity or the displacement time histories. This study aims to numerically evaluate the seismic response of reinforced concrete cylindrical silos under near-fault ground motions… More >

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Structural Durability & Health Monitoring, Vol.16, No.3, pp. 235-254, 2022, DOI:10.32604/sdhm.2022.013141
Abstract During the construction of subway tunnels, safety issues should not be ignored, so it is necessary to prevent and resolve the risk in time and accurately. However, there are some shortcomings in the research of risk assessment, such as the subjectivity of initial data or the lack of scientific evaluation model, in order to solve the problem, this paper relies on the Changping section of the Guanhui Intercity Metro, in order to establish a dynamic risk-warning model for the construction process of subway tunnel with the CD-Bench composite method. First, a monitoring plan was equationted according to the specification requirements… More >

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Structural Durability & Health Monitoring, Vol.16, No.3, pp. 255-270, 2022, DOI:10.32604/sdhm.2022.0271
Abstract Tool wear is inevitable in daily machining process since metal cutting process involves the chip rubbing the tool surface after it has been cut by the tool edge. Tool wear dominantly influences the deterioration of surface finish, geometric and dimensional tolerances of the workpiece. Moreover, for complete utilization of cutting tools and reduction of machine downtime during the machining process, it becomes necessary to understand the development of tool wear and predict its status before happening. In this study, tool condition monitoring system was used to monitor the behavior of a single point cutting tool to predict flank wear. A… More >

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197

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ARTICLE

Structural Durability & Health Monitoring, Vol.16, No.3, pp. 271-290, 2022, DOI:10.32604/sdhm.2022.010622
Abstract The regulation of tyre pressure is treated as a significant aspect of ‘tyre maintenance’ in the domain of autotronics. The manual supervision of a tyre pressure is typically an ignored task by most of the users. The existing instrumental scheme incorporates stand-alone monitoring with pressure and/or temperature sensors and requires regular manual conduct. Hence these schemes turn to be incompatible for on-board supervision and automated prediction of tyre condition. In this perspective, the Machine Learning (ML) approach acts appropriate as it exhibits comparison of specific performance in the past with present, intended for predicting the same in near future. The… More >

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382

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Structural Durability & Health Monitoring, Vol.14, No.1, pp. 1-17, 2020, DOI:10.32604/sdhm.2020.08792
Abstract This paper provides a model updating approach to detect, locate, and characterize damage in structural and mechanical systems by examining changes in measured vibration responses. Research in vibration-based damage identification has been rapidly expanding over the last few decades. The basic idea behind this technology is that modal parameters (notably frequencies, mode shapes, and modal damping) are functions of the physical properties of the structure (mass, damping, and stiffness). Therefore, changes in the physical properties will cause changes in the modal properties which could be obtained by structural health monitoring (SHM). Updating is a process fraught with numerical difficulties. These… More >

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Structural Durability & Health Monitoring, Vol.14, No.1, pp. 37-50, 2020, DOI:10.32604/sdhm.2020.08442
Abstract In order to resolve the safety problem of the existing crane runway girders (CRGs) with defects, the constraint-based R6 criterion is proposed to assess their structural integrity. The existing steel CRGs with defects at the weld joint between the upper flange and web plate, are characterized to three-dimensional finite element models with a semi-ellipse surface crack. The R6 criterion has been modified by considering the constraint effect which is represented by T-stress. The analysis results illustrate that working condition of the cracked CRGs leads to high constraint level along the crack front. The crack aspect ratio (a/c) and runway eccentricity… More >

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ARTICLE

Structural Durability & Health Monitoring, Vol.14, No.1, pp. 19-36, 2020, DOI:10.32604/sdhm.2020.07457
Abstract The construction of seaside facilities is a hot topic in the field of ocean engineering. In this paper, a new type of floating breakwater is designed by 3DCAD geometric modeling. Based on the vibration theory and finite element technology, the floating breakwater model is optimized, and the modal analysis of the structure with the bracket as main body and blades as functional attachments is carried out. Natural frequencies and mode shapes of the blades are first calculated, and the effects of the natural frequencies in both dry and wet conditions are taken into account. Modal analysis and harmonic response analysis… More >

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ARTICLE

Structural Durability & Health Monitoring, Vol.14, No.1, pp. 51-79, 2020, DOI:10.32604/sdhm.2020.07663
Abstract Taizhou Yangtze River Bridge as a long-span suspension bridge, the finite element model (FEM) of it is established using the ANSYS Software. The beam4 element is used to simulate the main beam to establish the “spine beam” model of the Taizhou Yangtze River Bridge. The calculated low-order vibration mode frequency of the FEM is in good agreement with the completion test results. The model can simulate the overall dynamic response of the bridge. Based on the vehicle load survey, the Monte Carlo method is applied to simulate the traffic load flow. Then the overall dynamic response analysis of FEM is… More >

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ARTICLE

Structural Durability & Health Monitoring, Vol.14, No.2, pp. 109-125, 2020, DOI:10.32604/sdhm.2020.06489
Abstract This research will develop a set of assessment techniques and procedures for exterior wall deterioration detection. The proposed method is mainly based on equipped with high-resolution photographic equipment for unmanned aerial vehicle (UAV). To overcome the problems of visual inspection difficulties due to different angles and height, the proposed method provides a safer and more efficient detection way to get the buildings’ exterior status. After using the proposed method to analyze the images taken from UAV, the size of the damaged area can be evaluated more accurately, and the accuracy rate of visual assessment will be significantly improved. The results… More >

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2282

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Structural Durability & Health Monitoring, Vol.14, No.1, pp. 81-94, 2020, DOI:10.32604/sdhm.2020.08221
Abstract In order to explore a kind of high-strength, earthquake-resistant, economical and suitable connection, 4 groups of cross-laminated timber wall-to-floor and wall-to-wall bolted connections were tested under monotonic and cyclic loading. The deformation characteristics and failure modes of the cross-laminated timber wall-to-floor and wall-to-wall bolted connections were exploited. Load-slip curves, bearing capacity, yielding point, stiffness and ductility of each group of specimens were analyzed. The test results indicate that the loading process of cross-laminated timber bolted connections under tension can be categorized as five stages, namely the elastic stage, the slip stage, the embedding stage, the yielding stage and the ultimate… More >

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2191

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Structural Durability & Health Monitoring, Vol.14, No.2, pp. 95-108, 2020, DOI:10.32604/sdhm.2020.06595
Abstract In marine environments, reinforced concrete bridge structures are subjected to cyclic loads and chloride ingress, which results in corrosion of the reinforcing bars, early deterioration, durability loss, and a considerable reduction in the fatigue strength. Owing to the complexity of the problem and the difficulty of testing, there are few studies on the fatigue performance of concrete structures under the combined action of corrosion environment and cyclic load. Therefore, a coupling test device for corrosion and cyclic load is designed and fatigue tests of reinforced concrete beams in air environments and chlorine salt corrosive environments are carried out. The fatigue… More >

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2034

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3

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ARTICLE

Structural Durability & Health Monitoring, Vol.14, No.2, pp. 127-145, 2020, DOI:10.32604/sdhm.2020.07595
Abstract The state of cutting tool determines the quality of surface produced on the machined parts. A faulty tool produces poor surface, inaccurate geometry and non-economic production. Thus, it is necessary to monitor tool condition for a machining process to have superior quality and economic production. In the present study, fault classification of single point cutting tool for hard turning has been carried out by employing machine learning technique. Cutting force and vibration signals were acquired to monitor tool condition during machining. A set of four tooling conditions namely healthy, worn flank, broken insert and extended tool overhang have been considered… More >

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2382

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2300

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1

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7

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ARTICLE

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 >

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1285

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2

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ARTICLE

Structural Durability & Health Monitoring, Vol.14, No.2, pp. 165-185, 2020, DOI:10.32604/sdhm.2020.07816
Abstract The properties of infills and the way they are connected to frames may have significant effects on the seismic behavior of the structure. This study presents an experimental study on evaluation and testing of five single story, single bay samples with the scale 1:3. This study strives to evaluate the behavior of masonry infill walls encased in steel frames, with emphasis on different details of the connection of the wall to the frame. Four frames with masonry infills and one frame without infill are experimented on by applying lateral load to their upper beams. Different details of the connection between… More >

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1931

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Structural Durability & Health Monitoring, Vol.9, No.4, pp. 287-323, 2013, DOI:10.32604/sdhm.2013.009.287
Abstract The optimum location of the sensors is a critical issue of any successful Structural Health Monitoring System. Sensor optimization problems encompass mainly three areas of interest: system identification, damage identification and impact identification. The current paper is intended as a review of the state of the art at the year 2012 and going back to 1990. The above topics have been dealt with in separate contexts so far but they contain interesting common elements to be exploited. More >

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1150

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24

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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 >

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1

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14

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Structural Durability & Health Monitoring, Vol.13, No.2, pp. 181-203, 2019, DOI:10.32604/sdhm.2019.00287
Abstract Wind turbine blades are generally manufactured using fiber type material because of their cost effectiveness and light weight property however, blade get damaged due to wind gusts, bad weather conditions, unpredictable aerodynamic forces, lightning strikes and gravitational loads which causes crack on the surface of wind turbine blade. It is very much essential to identify the damage on blade before it crashes catastrophically which might possibly destroy the complete wind turbine. In this paper, a fifteen tree classification based machine learning algorithms were modelled for identifying and detecting the crack on wind turbine blades. The models are built based on… More >

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1286

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1

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8

Open Access

ARTICLE

Structural Durability & Health Monitoring, Vol.14, No.2, pp. 127-145, 2020, DOI:10.32604/sdhm.2020.07595
Abstract The state of cutting tool determines the quality of surface produced on the machined parts. A faulty tool produces poor surface, inaccurate geometry and non-economic production. Thus, it is necessary to monitor tool condition for a machining process to have superior quality and economic production. In the present study, fault classification of single point cutting tool for hard turning has been carried out by employing machine learning technique. Cutting force and vibration signals were acquired to monitor tool condition during machining. A set of four tooling conditions namely healthy, worn flank, broken insert and extended tool overhang have been considered… More >

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2378

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2297

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1

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7

Open Access

ARTICLE

Structural Durability & Health Monitoring, Vol.13, No.1, pp. 85-103, 2019, DOI:10.32604/sdhm.2019.04695
Abstract This paper introduces a stiffness reduction based model developed by the authors to characterize accumulative fatigue damage in unidirectional plies and (0/θ/0) composite laminates in fiber reinforced polymer (FRP) composite laminates. The proposed damage detection model is developed based on a damage evolution mechanism, including crack initiation and crack damage progress in matrix, matrix-fiber interface and fibers. Research result demonstrates that the corresponding stiffness of unidirectional composite laminates is reduced as the number of loading cycles progresses. First, three common models in literatures are presented and compared. Tensile viscosity, Young’s modulus and ultimate tensile stress of composites are incorporated as… More >

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6

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ARTICLE

Structural Durability & Health Monitoring, Vol.13, No.2, pp. 227-246, 2019, DOI:10.32604/sdhm.2019.04743
Abstract In this paper, bending performance and rolling shear properties of cross-laminated timber (CLT) panels made from Canadian hemlock were investigated by varied approaches. Firstly, three groups of bending tests of three-layer CLT panels with different spans were carried out. Different failure modes were obtained: bending failure, rolling shear failure, bonding line failure, local failure of the outer layer and mixed failure mode. Deflection and strain measurements were employed to calculate the global and local modulus of elastic (MOE), compared with the theoretical value. In addition, a modified compression shear testing method was introduced to evaluate the rolling shear strength and… More >

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ARTICLE

Structural Durability & Health Monitoring, Vol.13, No.3, pp. 247-266, 2019, DOI:10.32604/sdhm.2019.07025
Abstract A proof-of-concept indirect tire-pressure monitoring system is developed using artificial neural networks to identify the tire pressure of a vehicle tire. A quarter-car model was developed with MATLAB and Simulink to generate simulated accelerometer output data. Simulation data are used to train and evaluate a recurrent neural network with long short-term memory blocks (RNN-LSTM) and a convolutional neural network (CNN) developed in Python with Tensorflow. Bayesian Optimization via SigOpt was used to optimize training and model parameters. The predictive accuracy and training speed of the two models with various parameters are compared. Finally, future work and improvements are discussed. More >

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2007

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ARTICLE

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 >

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ARTICLE

Structural Durability & Health Monitoring, Vol.9, No.3, pp. 253-267, 2013, DOI:10.32604/sdhm.2013.009.253
Abstract The aim of the proposed research activity is to investigate on the structural behaviour of laminated composite plates, in order to develop numerical models able to describe their "damage resistance" under low velocity impacts. To achieve these results it is necessary to provide understanding of and ultimately predict the initiation and the progression mechanisms of damage. Since analytical closed-form methods are unable to describe simultaneously different failure modes and experimental testing can give indications only for specific cases, not generally applicable, it is necessary to improve numerical techniques, which on the base of opportunely selected and calibrated models are able… More >

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1080

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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 >

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