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  • Open Access


    Review Article on Condition Assessment of Structures Using Electro-Mechanical Impedance Technique

    Krishna Kumar Maurya*, Anupam Rawat, Rama Shanker

    Structural Durability & Health Monitoring, Vol.16, No.2, pp. 97-128, 2022, DOI:10.32604/sdhm.2022.015732

    Abstract Structural health monitoring (SHM) is a process for determination of presence, location, severity of damages and remaining life of the infrastructures. SHM is widely applied in aerospace, mechanical and civil engineering systems to assess the conditions of structures to improve the operation, safety, serviceability and reliability, respectively. There are various SHM techniques for monitoring the health of structures such as global response based and local techniques. Damages occur in the structures due to its inability to withstand intended design loadings, physical environment and chemical environment. Therefore, damage identification is necessary to improve the durability of… More >

  • Open Access


    Reconstruction Technology of Flexible Structure Shape Based on FBG Sensor Array and Deep Learning Algorithm

    Kelong Huang, Jie Yan, Lei Zhang*, Faye Zhang, Mingshun Jiang, Qingmei Sui

    Structural Durability & Health Monitoring, Vol.16, No.2, pp. 179-194, 2022, DOI:10.32604/sdhm.2022.018202

    Abstract A structural displacement field reconstruction method is proposed to aim at the problems of deformation monitoring and displacement field reconstruction of flexible plate-like structures in the aerospace field. This method combines the deep neural network model of the cross-layer connection structure with the fiber grating sensor network. This paper first introduces the principle of strain detection of fiber grating sensor, studies the mapping relationship between strain and displacement, and proposes a strain-displacement conversion model based on an improved neural network. Then the intelligent structure deformation monitoring system is built. By controlling the stepping distance of… 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… More >

  • Open Access


    Shape Sensing of Thin Shell Structure Based on Inverse Finite Element Method

    Zhanjun Wu1, Tengteng Li1, Jiachen Zhang2, Yifan Wu3, Jianle Li1, Lei Yang1, Hao Xu1,*

    Structural Durability & Health Monitoring, Vol.16, No.1, pp. 1-14, 2022, DOI:10.32604/sdhm.2022.019554

    Abstract Shape sensing as a crucial component of structural health monitoring plays a vital role in real-time actuation and control of smart structures, and monitoring of structural integrity. As a model-based method, the inverse finite element method (iFEM) has been proved to be a valuable shape sensing tool that is suitable for complex structures. In this paper, we propose a novel approach for the shape sensing of thin shell structures with iFEM. Considering the structural form and stress characteristics of thin-walled structure, the error function consists of membrane and bending section strains only which is consistent… More >

  • Open Access


    PSO-LSSVM-based Online SOC Estimation for Simulation Substation Battery

    Qiang Zhang1, Xianguang Zha1, Jun Wu1, Liang Zhang1, Wei Dai2, Gang Ren3, Shiqian Li3, Ning Ji3,*, Xiangjun Zhu3, Fengwei Tian3

    Structural Durability & Health Monitoring, Vol.16, No.1, pp. 37-51, 2022, DOI:10.32604/sdhm.2022.018422

    Abstract As the emergency power supply for a simulation substation, lead-acid batteries have a work pattern featuring non-continuous operation, which leads to capacity regeneration. However, the accurate estimation of battery state of charge (SOC), a measurement of the amount of energy available in a battery, remains a hard nut to crack because of the non-stationarity and randomness of battery capacity change. This paper has proposed a comprehensive method for lead-acid battery SOC estimation, which may aid in maintaining a reasonable charging schedule in a simulation substation and improving battery’s durability. Based on the battery work pattern, More >

  • Open Access


    Aluminum Alloy Fatigue Crack Damage Prediction Based on Lamb Wave-Systematic Resampling Particle Filter Method

    Gaozheng Zhao1, Changchao Liu1, Lingyu Sun1, Ning Yang2, Lei Zhang1, Mingshun Jiang1, Lei Jia1, Qingmei Sui1,*

    Structural Durability & Health Monitoring, Vol.16, No.1, pp. 81-96, 2022, DOI:10.32604/sdhm.2022.016905

    Abstract Fatigue crack prediction is a critical aspect of prognostics and health management research. The particle filter algorithm based on Lamb wave is a potential tool to solve the nonlinear and non-Gaussian problems on fatigue growth, and it is widely used to predict the state of fatigue crack. This paper proposes a method of lamb wave-based early fatigue microcrack prediction with the aid of particle filters. With this method, which the changes in signal characteristics under different fatigue crack lengths are analyzed, and the state- and observation-equations of crack extension are established. Furthermore, an experiment is More >

  • Open Access


    Health Monitoring-Based Assessment of Reinforcement with Prestressed Steel Strand for Cable-Stayed Bridge

    Kexin Zhang*, Tianyu Qi, Dachao Li, Xingwei Xue, Yanfeng Li

    Structural Durability & Health Monitoring, Vol.16, No.1, pp. 53-80, 2022, DOI:10.32604/sdhm.2021.016130

    Abstract This paper presents the method of reinforcing main girder of reinforced concrete cable-stayed bridge with prestressed steel strands. To verify the effectiveness of external prestressed strand reinforcement method. Static load tests and health monitoring-based assessment were carried out before and after reinforcement. Field load test shows that the deflection and stress values of the main girder are reduced by 10%~20% after reinforcement, and the flexural strength and stiffness of the strengthened beam are improved. The deflection and strain data of health monitoring of the specified section are collected. The deflection of the second span is More >

  • Open Access


    Fatigue Performance of Orthotropic Steel Decks in Super-Wide Steel Box Girder Considering Transverse Distribution of Vehicle Load

    Xudong Wang1,2, Changqing Miao1,2,*, Mao Yang1,2, Youliang Ding1,2

    Structural Durability & Health Monitoring, Vol.15, No.4, pp. 299-316, 2021, DOI:10.32604/sdhm.2021.017526

    Abstract This study presents an investigation on the fatigue analysis of four types of details on orthotropic steel decks (OSDs) for a cable-stayed super-wide steel box girder bridge based on finite-element analysis (FEA) with vehicle transverse distribution model (VTDM). A high-fidelity 3D FE model verified by the static load test is established to satisfy the fatigue analysis accuracy. The stress behavior of super-wide steel box girders under the vehicle load at different lane locations is investigated. Then, considering the effect of VTDM, the fatigue life analysis of four typical details is performed using the Miner cumulative More >

  • Open Access


    A TimeImageNet Sequence Learning for Remaining Useful Life Estimation of Turbofan Engine in Aircraft Systems

    S. Kalyani*, K. Venkata Rao, A. Mary Sowjanya

    Structural Durability & Health Monitoring, Vol.15, No.4, pp. 317-334, 2021, DOI:10.32604/sdhm.2021.016975

    Abstract Internet of Things systems generate a large amount of sensor data that needs to be analyzed for extracting useful insights on the health status of the machine under consideration. Sensor data of all possible states of a system are used for building machine learning models. These models are further used to predict the possible downtime for proactive action on the system condition. Aircraft engine data from run to failure is used in the current study. The run to failure data includes states like new installation, stable operation, first reported issue, erroneous operation, and final failure.… More >

  • Open Access


    Assessment of Seismic Damage in Nativity Church in Bethlehem Using Pushover Analysis

    Belal Almassri1,*, Ali Safiyeh2

    Structural Durability & Health Monitoring, Vol.15, No.4, pp. 349-366, 2021, DOI:10.32604/sdhm.2021.016889

    Abstract This study focuses on advanced finite element (FE) analyses on The Church of Nativity located in Bethlehem (Palestine), one of the most historic structures in the world. To ensure the model quality, a 3D FE model was created using two types of typical commercial software, DIANA FEA and SAP2000. From analyses, one of the expected behaviors for this kind of masonry structure “low modal period” was found. The seismic behavior of the church was studied using pushover analyses, which were conducted using DIANA FEA. The first unidirectional mass proportional load pattern was created in both… More >

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