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  • Open Access

    ARTICLE

    Quantification of Ride Comfort Using Musculoskeletal Mathematical Model Considering Vehicle Behavior

    Junya Tanehashi1, Szuchi Chang2, Takahiro Hirosei3, Masaki Izawa2, Aman Goyal2, Ayumi Takahashi4, Kazuhito Misaji4,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.3, pp. 2287-2306, 2023, DOI:10.32604/cmes.2023.022432 - 23 November 2022

    Abstract This research aims to quantify driver ride comfort due to changes in damper characteristics between comfort mode and sport mode, considering the vehicle’s inertial behavior. The comfort of riding in an automobile has been evaluated in recent years on the basis of a subjective sensory evaluation given by the driver. However, reflecting driving sensations in design work to improve ride comfort is abstract in nature and difficult to express theoretically. Therefore, we evaluated the human body’s effects while driving scientifically by quantifying the driver’s behavior while operating the steering wheel and the behavior of the… More > Graphic Abstract

    Quantification of Ride Comfort Using Musculoskeletal Mathematical Model Considering Vehicle Behavior

  • Open Access

    REVIEW

    Analytical Models of Concrete Fatigue: A State-of-the-Art Review

    Xiaoli Wei1, D. A. Makhloof1,2, Xiaodan Ren1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.1, pp. 9-34, 2023, DOI:10.32604/cmes.2022.020160 - 24 August 2022

    Abstract Fatigue failure phenomena of the concrete structures under long-term low amplitude loading have attracted more attention. Some structures, such as wind power towers, offshore platforms, and high-speed railways, may resist millions of cycles loading during their intended lives. Over the past century, analytical methods for concrete fatigue are emerging. It is concluded that models for the concrete fatigue calculation can fall into four categories: the empirical model relying on fatigue tests, fatigue crack growth model in fracture mechanics, fatigue damage evolution model based on damage mechanics and advanced machine learning model. In this paper, a More >

  • Open Access

    ARTICLE

    Recent Advances in Fatigue Detection Algorithm Based on EEG

    Fei Wang1,2, Yinxing Wan1, Man Li1,2, Haiyun Huang1,2, Li Li1, Xueying Hou1, Jiahui Pan1,2, Zhenfu Wen3, Jingcong Li1,2,*

    Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 3573-3586, 2023, DOI:10.32604/iasc.2023.029698 - 17 August 2022

    Abstract Fatigue is a state commonly caused by overworked, which seriously affects daily work and life. How to detect mental fatigue has always been a hot spot for researchers to explore. Electroencephalogram (EEG) is considered one of the most accurate and objective indicators. This article investigated the development of classification algorithms applied in EEG-based fatigue detection in recent years. According to the different source of the data, we can divide these classification algorithms into two categories, intra-subject (within the same subject) and cross-subject (across different subjects). In most studies, traditional machine learning algorithms with artificial feature… More >

  • Open Access

    PROCEEDINGS

    Experimental And Numerical Modelling of Cyclic Softening and Damage Behaviors for a Turbine Rotor Material at Elevated Temperature

    M. Li1,2,*, D.H. Li3, Y. Rae1, W. Sun1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.24, No.1, pp. 1-2, 2022, DOI:10.32604/icces.2022.08759

    Abstract In order to better understand the physical process of deformation and cyclic softening a 12% Cr martensitic stainless steel FV566 has been cyclically tested at high temperature in strain control. Increase in temperature was found to increase the cyclic life, softening rate and viscous stress magnitude. An increase in the dwell time led to the acceleration of the material degradation. The microstructure changes and dominating deformation mechanisms were investigated by means of scanning electron microscopy, electron backscatter diffraction and transmission electron microscopy. The results have revealed a gradual sub-grain coarsening, transformation of lath structure into… More >

  • Open Access

    ARTICLE

    Experimental Study on the Degradation of Bonding Behavior between Reinforcing Bars and Concrete after Corrosion and Fatigue Damage

    Shiqin He*, Jiaxing Zhao, Chunyue Wang, Hui Wang

    Structural Durability & Health Monitoring, Vol.16, No.3, pp. 195-212, 2022, DOI:10.32604/sdhm.2022.08886 - 18 July 2022

    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, More >

  • Open Access

    ARTICLE

    An Advanced Control Strategy for Dual-Actuator Driving System in Full-Scale Fatigue Test of Wind Turbine Blades

    Guanhua Wang1, Jinghua Wang1, Xuemei Huang1,*, Leian Zhang1, Weisheng Liu2

    Energy Engineering, Vol.119, No.4, pp. 1649-1662, 2022, DOI:10.32604/ee.2022.019695 - 23 May 2022

    Abstract A new dual-actuator fatigue loading system of wind turbine blades was designed. Compared with the traditional pendulum loading mode, the masses in this system only moved linearly along the loading direction to increase the exciting force. However, the two actuators and the blade constituted a complicated non-linear energy transferring system, which led to the non-synchronization of actuators. On-site test results showed that the virtual spindle synchronous strategy commonly used in synchronous control was undesirable and caused the instability of the blade’s amplitude eventually. A cross-coupled control strategy based on the active disturbance rejection algorithm was… More >

  • Open Access

    ARTICLE

    Real Time Monitoring of Muscle Fatigue with IoT and Wearable Devices

    Anita Gehlot1, Rajesh Singh1, Sweety Siwach2, Shaik Vaseem Akram1, Khalid Alsubhi3, Aman Singh4,*, Irene Delgado Noya4,5, Sushabhan Choudhury2

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 999-1015, 2022, DOI:10.32604/cmc.2022.023861 - 24 February 2022

    Abstract Wearable monitoring devices are in demand in recent times for monitoring daily activities including exercise. Moreover, it is widely utilizing for preventing injuries of athletes during a practice session and in few cases, it leads to muscle fatigue. At present, emerging technology like the internet of things (IoT) and sensors is empowering to monitor and visualize the physical data from any remote location through internet connectivity. In this study, an IoT-enabled wearable device is proposing for monitoring and identifying the muscle fatigue condition using a surface electromyogram (sEMG) sensor. Normally, the EMG signal is utilized… More >

  • Open Access

    ARTICLE

    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 - 11 February 2022

    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

    ARTICLE

    Combined Effects of Exposure to Noise and Vibration on Human Postural Equilibrium under Simulated Driving Conditions

    Seyyed Mohammad Javad Golhosseini1, Mohsen Aliabadi2,*, Rostam Golmohammadi3, Maryam Farhadian4, Mehdi Akbari5, Morteza Hamidi Nahrani6, Mehdi Samavati7

    Sound & Vibration, Vol.56, No.1, pp. 37-49, 2022, DOI:10.32604/sv.2022.014616 - 10 January 2022

    Abstract There is little information about drivers’ body balance responses to combined exposure of noise and vibration. To fill the gap, this study aims to investigate the combined effects of exposure to noise and whole-body vibration (WBV) on the body balance under simulated driving conditions. For this purpose, 30 male participants were exposed to noise level at 85 dB(A) and two vibration levels (0.87 and 1.3 m/s2) in five sessions. The design of the study was repeated-measures, and it attempted to assess the effects of 40 minutes of exposure to noise and/or WBV. Moreover, the participants’ fatigue… More >

  • Open Access

    ARTICLE

    Effect of Loading Frequency on the High Cycle Fatigue Strength of Flax Fiber Reinforced Polymer Matrix Composites

    Md Zahirul Islam, Chad A. Ulven*

    Journal of Renewable Materials, Vol.10, No.5, pp. 1185-1200, 2022, DOI:10.32604/jrm.2022.018018 - 22 December 2021

    Abstract Among natural fibers, flax fiber reinforced polymer matrix composites show excellent dynamic/fatigue properties due to its excellent damping properties. Knowledge about fatigue limit and effect of loading frequency on fatigue limit is very crucial to know before being used a member as a structural component. Fatigue limit of fiber reinforced composite is measured through high cycle fatigue strength (HCFS). The effect of loading frequency on the HCFS of flax fiber reinforced polymer matrix composites was investigated using stabilized specimen surface temperature based thermographic and dissipated energy per cycle-based approaches. Specimens of unidirectional flax fiber reinforced… More >

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