Zainiah Mohd Zin^1,2, Mohd Rosli Mohd Hasan^1,*, Azura A. Rashid³, Muhammad Munsif Ahmad⁴, Mohd Fahmi Haikal Mohd Ghazali¹, Hui Yao^5,*

Journal of Polymer Materials, Vol.43, No.1, 2026, DOI:10.32604/jpm.2026.072622 - 03 April 2026

Abstract The rapid increase in traffic loads and frequencies has rendered conventional asphalt pavement inadequate to maintain its durability under tropical climates. This challenge has necessitated the exploration of new sources of modified asphalt with enhanced stiffness and superior performance at high temperatures. Natural rubber (NR) is a renewable biopolymer that has received growing interest as a modifier for asphalt binders. Cup lump rubber (CLR), a type of NR, is used to enhance asphalt properties and improve the performance of road pavements. This study evaluates the influence of wax-based surfactants (WS) on CLR-modified asphalt binder (CMB).… More >

Chao Guo¹, Chao Deng², Xing Bai³, Ziyuan Fan⁴, Jintao Li², Yuan Ren^2,*

Structural Durability & Health Monitoring, Vol.20, No.2, 2026, DOI:10.32604/sdhm.2025.075363 - 31 March 2026

Abstract Hangers play a crucial role in transferring loads in suspension bridges, yet their condition often deteriorates faster than expected due to corrosion and fatigue effects. Premature hanger failure poses serious risks to bridge safety and results in significant economic loss due to frequent replacement and traffic interruption. To address these challenges, this study proposes an integrated framework to evaluate the life-cycle safety and operational cost of bridge hangers. Traffic data obtained from Weigh-in-Motion (WIM) systems are used to simulate dynamic hanger responses. A wire-to-hanger deterioration model is then employed to capture the time-dependent interaction between… More >

Tao Yuan¹, Qin Tang², Zhiwen Zhu^2,*, Jin Jiang², Lin Zhang¹, Gangqiao Wang¹

Structural Durability & Health Monitoring, Vol.20, No.2, 2026, DOI:10.32604/sdhm.2025.072805 - 31 March 2026

Abstract Using field monitoring data, this study directly compares the stress responses of fatigue-prone orthotropic steel deck (OSD) details with an epoxy asphalt concrete (EAC) overlay during in-service winter and summer seasons. This study was conducted on the E’dong Yangtze River Bridge in China, a cable-stayed bridge featuring a main span of 936 m and an EAC-paved deck pavement. The findings reveal that across all OSD details, stress levels and loading cycles are generally higher in summer than in winter. The most pronounced increase occurs at the rib-to-deck (RD) detail, particularly on the deck plate side.… More >

Zhixiang Zhang¹, Chao Luo², Chen Zhang^1,*, Zheng Li¹, Yihua Zhu², Xu Cai¹

Energy Engineering, Vol.123, No.4, 2026, DOI:10.32604/ee.2025.072678 - 27 March 2026

Abstract Fatigue loads on wind turbines are critical factors that significantly influence operational lifespan and reliability. The passive yaw control of wind turbines often fails to capture the dynamic gradient changes of wind speed and direction in the wind field, leading to an increased risk of load overload, severely affecting operational lifespan and reducing power generation efficiency. This impact is even more pronounced during the passage of a cold front. To address this issue, this paper proposes an independent variable-pitch control method that optimizes predictions by utilizing the spatiotemporal relationship between pre-observed cold front patterns and… More >

Guotai Huang, Xiyu Gao, Peng Liu, Liming Zhou^*

CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2026.074941 - 12 March 2026

Abstract To address the insufficient prediction accuracy of multi-state parameters in electro-hydraulic servo material fatigue testing machines under complex loading and nonlinear coupling conditions, this paper proposes a multivariate sequence-to-sequence prediction model integrating a Long Short-Term Memory (LSTM) encoder, a Gated Recurrent Unit (GRU) decoder, and a multi-head attention mechanism. This approach enhances prediction accuracy and robustness across different control modes and load spectra by leveraging multi-channel inputs and cross-variable feature interactions, thereby capturing both short-term high-frequency dynamics and long-term slow drift characteristics. Experiments using long-term data from real test benches demonstrate that the model achieves… More >

Moises Jimenez-Martinez^1,*, Gael Ramirez², Giancarlo Marchetta-Cruz³, Manuel Coca-Gonzalez¹

CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2026.074260 - 12 March 2026

Abstract Most failures in component operation occur due to cyclic loads. Validation has been performed under quasistatic loads, but the fatigue life of components under dynamic loads should be predicted to prevent failures during component service life. Fatigue is a damage accumulation process where loads degrade the material, depending on the characteristics and number of repetitions of the load. Studies on the mechanical fatigue of 3D-printed Onyx are limited. In this paper, the strength of 3D-printed Onyx components under dynamic conditions (repetitive loads) is estimated. Fatigue life prediction is influenced by manufacturing processes, material properties, and… More >

Hafsa Sidaq¹, Lei Wang¹, Sghaier Guizani^2,*, Hussain Haider³, Ateeq Ur Rehman^4,*, Habib Hamam^5,6,7

CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.071254 - 12 January 2026

Abstract Numerous sectors, such as education, the IT sector, and corporate organizations, transitioned to virtual meetings after the COVID-19 crisis. Organizations now seek to assess participants’ fatigue levels in online meetings to remain competitive. Instructors cannot effectively monitor every individual in a virtual environment, which raises significant concerns about participant fatigue. Our proposed system monitors fatigue, identifying attentive and drowsy individuals throughout the online session. We leverage Dlib’s pre-trained facial landmark detector and focus on the eye landmarks only, offering a more detailed analysis for predicting eye opening and closing of the eyes, rather than focusing… More >

Jing Yang¹, Zhiming Liu^1,*, Xingchao Li², Zhongyao Wang³, Beitong Li¹, Kaiyang Liu¹, Wang Long⁴

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-18, 2026, DOI:10.32604/cmc.2025.068353 - 10 November 2025

Abstract Accurately predicting fatigue life under multiaxial fatigue damage conditions is essential for ensuring the safety of critical components in service. However, due to the complexity of fatigue failure mechanisms, achieving accurate multiaxial fatigue life predictions remains challenging. Traditional multiaxial fatigue prediction models are often limited by specific material properties and loading conditions, making it difficult to maintain reliable life prediction results beyond these constraints. This paper presents a study on the impact of seven key feature quantities on multiaxial fatigue life, using Convolutional Neural Networks (CNN), Long Short-Term Memory Networks (LSTM), and Fully Connected Neural… More >

Wenjie Qiu¹, Jiyuan Wang², Zheng Zhang^3,*

Journal of Psychology in Africa, Vol.35, No.6, pp. 815-823, 2025, DOI:10.32604/jpa.2025.070151 - 30 December 2025

Abstract This study examined emotional exhaustion and family support in the relationship between leader workaholism and employee work fatigue. The participants were 408 employed adults (74% female, age range 25 to 27 years) across five industries: sales (31.65%), finance (25.32%), education (20.25%), public administration (12.66%), and technology (10.13%), from 79 work teams in China. Survey data were collected at three time points over a three-month period. The results from structural equation modeling indicated that leader workaholism was associated with higher employee work fatigue. Emotional exhaustion mediated the relationship, contributing to higher levels of employee fatigue. Furthermore, More >

Dan Jiao^1,2, Yan Dong^1,2,*, Hao Xie³, Yordan Garbatov^4,*, Jiancheng Liu⁵, Hui Zhang⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 3197-3216, 2025, DOI:10.32604/cmes.2025.074239 - 23 December 2025

Abstract Floating offshore wind turbine platforms typically use stiffened tubular joints at the connections between columns and braces. These joints are prone to fatigue due to complex weld geometries and the additional stress concentrations caused by the stiffeners. Existing hot-spot stress approaches may be inadequate for analysing these joints because they do not simultaneously address weld-toe and weld-root failures. To address these limitations, this study evaluates the fatigue strength of stiffened tubular joints using the effective notch strain approach and the structural strain approach. Both methods account for fatigue at the weld toe and weld root… More >