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  • Open Access

    ARTICLE

    Applying Neural Networks for Tire Pressure Monitoring Systems

    Alex Kost1, Wael A. Altabey2,3,4, Mohammad Noori1,2,*, Taher Awad4

    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 >

  • Open Access

    ARTICLE

    Seismic Vulnerability Analysis of Single-Story Reinforced Concrete Industrial Buildings with Seismic Fortification

    Jieping Liu1, Lingxin Zhang1,*, Haohao Zhang2, Tao Liu1

    Structural Durability & Health Monitoring, Vol.13, No.2, pp. 123-142, 2019, DOI:10.32604/sdhm.2019.04486

    Abstract As there is a lack of earthquake damage data for factory buildings with seismic fortifications in China, seismic vulnerability analysis was performed by numerical simulation in this paper. The earthquake-structure analysis model was developed with considering the influence of uncertainties of the ground motion and structural model parameters. The small-size sampling was conducted based on the Latin hypercube sampling and orthogonal design methods. Using nonlinear analysis, the seismic vulnerability curves and damage probability matrix with various seismic fortification intensities (SFI) were obtained. The seismic capacity of the factory building was then evaluated. The results showed that, with different designs at… More >

  • Open Access

    ARTICLE

    Flexural Property of String Beam of Pre-Stressed Glulam Based on Influence of Regulation and Control

    Nan Guo1,*, Wenbo Wang1, Hongliang Zuo1

    Structural Durability & Health Monitoring, Vol.13, No.2, pp. 143-179, 2019, DOI:10.32604/sdhm.2019.04640

    Abstract Applying pre-stress in glulam beam can reduce its deformation and make full use of the compressive strength of wood. However, when the glulam with low strength and the pre-stressed steel with high strength form combined members, materials of high strength can’t be fully utilized. Therefore, this study puts forward the idea of regulating and controlling string beam of pre-stressed glulam. By regulating and controlling the pre-stress, a part of the load borne by the wood is allocated to the pre-stressed tendon, which is equivalent to completing a redistribution of internal force, thus realizing the repeated utilization of the wood strength… More >

  • Open Access

    ARTICLE

    Crack Detection and Localization on Wind Turbine Blade Using Machine Learning Algorithms: A Data Mining Approach

    A. Joshuva1, V. Sugumaran2

    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 >

  • Open Access

    ARTICLE

    Load Test and Fatigue Life Evaluation for Welded Details in Taizhou Yangtze River Bridge

    Meiling Zhuang1,2, Changqing Miao1,2,*, Rongfeng Chen1,2

    Structural Durability & Health Monitoring, Vol.13, No.2, pp. 205-225, 2019, DOI:10.32604/sdhm.2019.04654

    Abstract To study the fatigue performance of welded details in the orthotropic steel decks, the steel box girder for Taizhou Yangtze River Bridge is taken as the research object. Based on the field monitoring data obtained from the load test, the stress response test of the orthotropic steel box girder under wheel loads is performed and the correctness of the vehicle test data obtained from the field monitoring data also have been verified by the numerical results of the finite element model. Based on the Miner linear cumulative damage theory, the S-N curve of the Eurocode3 specification is referenced, and the… More >

  • Open Access

    ARTICLE

    Bending and Rolling Shear Properties of Cross-Laminated Timber Fabricated with Canadian Hemlock

    Gengmu Ruan1, Haibei Xiong1,*, Jiawei Chen1

    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 >

  • Open Access

    ARTICLE

    A Fatigue Damage Model for FRP Composite Laminate Systems Based on Stiffness Reduction

    Ying Zhao1, Mohammad Noori1,2, Wael A. Altabey1,3,*, Ramin Ghiasi4, Zhishen Wu1

    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 >

  • Open Access

    ARTICLE

    Influence of Water Stability on Bond Performance Between Magnesium Phosphate Cement Mortar and Steel Fibre

    Hu Feng1, Guanghui Liu1, Jiansong Yuan2,*, M. Neaz Sheikh3, Lu Feng4, Jun Zhao1

    Structural Durability & Health Monitoring, Vol.13, No.1, pp. 105-121, 2019, DOI:10.32604/sdhm.2019.04864

    Abstract The fibre pullout test was conducted to investigate the influence of the water stability on the bond behaviour between the Magnesium phosphate cement (MPC) matrix and the steel fibre. The composition of the MPC-matrix and the immersion age of the specimens are experimentally investigated. The average bond strength and the pullout energy are investigated by analysing the experimental results. In addition, the microscopic characteristics of the interface transition zone are investigated using scanning electron microscopy (SEM). The experimental results showed that the bond performance between the MPC-matrix and the steel fibre decreased significantly with the increase of the duration of… More >

  • Open Access

    ARTICLE

    Mechanical Behaviors and Deformation Properties of Retaining Wall Formed by Grouting Mould-Bag Pile

    Shengcai Li1,*, Jun Tang1,2, Lin Guo3

    Structural Durability & Health Monitoring, Vol.13, No.1, pp. 61-84, 2019, DOI:10.32604/sdhm.2019.06058

    Abstract The simplified mechanical model and finite element model are established on the basis of the measured results and analysis of the grouting pile deformation monitoring, surface horizontal displacement and vertical displacement monitoring, deep horizontal displacement (inclinometer) monitoring, soil pressure monitoring and seepage pressure monitoring in the lower reaches of Wuan River regulation project in Shishi, Fujian Province. The mechanical behavior and deformation performance of mould-bag pile retaining wall formed after controlled cement grouting in the silty stratum of the test section are analyzed and compared. The results show that the use of controlled cement grouting mould-bag pile technology is to… More >

  • Open Access

    ARTICLE

    Multi-Mode Guided Waves Based Reference-Free Damage Diagnostic Imaging in Plates

    Jiaqi Zhang1, Kehai Liu2,*, Chang Gao1, Zhanjun Wu1, Yuebin Zheng1, Dongyue Gao3

    Structural Durability & Health Monitoring, Vol.13, No.1, pp. 41-59, 2019, DOI:10.32604/sdhm.2019.05142

    Abstract Probability-based diagnostic imaging (PDI) is one of the most well-known damage identification methods using guided waves. It is usually applied to diagnose damage in plates. The previous studies were dependent on the certain damage index (DI) which is always calculated from the guided wave signals. In conventional methods, DI is simply defined by comparing the real-time data with the baseline data as reference. However, the baseline signal is easily affected by varying environmental conditions of structures. In this paper, a reference-free diagnostic imaging method is developed to avoid the influence of environmental factors, such as temperature and load conditions. The… More >

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