Zheng Zhang¹, Gan-Yun Huang^1,*, Fei Shen^1,2, Liao-Liang Ke¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.4, pp. 1-2, 2025, DOI:10.32604/icces.2025.010965

Abstract Rolling element bearings are critical components in modern industrial machinery, with rolling contact fatigue (RCF) emerging as the predominant failure mode even under optimal installation, lubrication, and maintenance conditions [1–5]. In the paper, a phase field model coupling plasticity and fatigue is developed to investigate spalling behavior under RCF loading. Fatigue crack nucleation, propagation, and bifurcation can be effectively predicted using the phase field model based on theories of energy minimization [6–8]. A numerical framework is established by using the finite element method with an explicit integration scheme. The subsurface initiated spalling, the crack evolution, More >

Zhengzheng Cao^1,2,3, Fangxu Guo¹, Wenqiang Wang^2,3,4,*, Feng Du^2,3,4, Zhenhua Li^2,3,4, Shuaiyang Zhang¹, Qixuan Wang¹, Yongzhi Zhai¹

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.10, pp. 2419-2442, 2025, DOI:10.32604/fdmp.2025.070624 - 30 October 2025

Abstract With the depletion of shallow mineral resources, mining operations are extending to greater depths and larger scales, increasing the risk of water inrush disasters, particularly from confined aquifers intersected by faults. This paper reviews the current state of research on fault-induced water inrushes in mining faces, examining the damage characteristics and permeability of fractured floor rock, the mechanical behavior of faults under mining stress, and the mechanisms driving water inrush. Advances in prevention technologies, risk assessment, and prediction methods are also summarized. Research shows that damage evolution in fractured floor rock, coupled with fluid-solid interactions,… More > Graphic Abstract

Gabriel Matheus Da Silva Batista, Lucas Pina Rodrigues, Andrey Jorge Serra^*

BIOCELL, Vol.49, No.10, pp. 1873-1885, 2025, DOI:10.32604/biocell.2025.067186 - 22 October 2025

Abstract Adipose-derived stem cells (ADSCs) therapy has emerged as a promising strategy for treating degenerative, inflammatory, and cardiometabolic diseases. In addition to their higher bioavailability in adipose tissue, ADSCs demonstrate superior activity in producing specific immune modulators and growth factors when compared to other stem cell types. The detrimental impact of heart failure (HF)—a condition that still lacks a fully effective therapy—has driven significant interest in the therapeutic potential of ADSCs. This interest is supported by robust evidence from experimental studies employing HF animal models. Accordingly, this review aims to explore the cardioprotective mechanisms through which More >

Weibing Xu¹, Bo Yao^2,*, Xiangjun Quan³, Xunyou Zhang¹, Ning Zou², Shuo Liu², Jia Wang⁴, Jiansuo Zhang⁴

Energy Engineering, Vol.122, No.10, pp. 4225-4243, 2025, DOI:10.32604/ee.2025.066738 - 30 September 2025

Abstract The integration of large-scale new energy and high-capacity DC transmission leads to a reduction in system inertia. Grid-forming renewable energy sources (GF-RES) has a significant improvement effect on system inertia. Commutation failure faults may cause a short-term reactive power surplus at the sending end and trigger transient overvoltage, threatening the safe and stable operation of the power grid. However, there is a lack of research on the calculation method of transient overvoltage caused by commutation failure in high-voltage DC transmission systems with grid-forming renewable energy sources integration. Based on the existing equivalent model of high-voltage… More >

Yi Huang^1,*, Ming Luo¹, Zhujun Li¹, Donglei Jiang¹, Ping Xiao¹, Mingyuan Yao², Jia He²

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.8, pp. 1839-1860, 2025, DOI:10.32604/fdmp.2025.065459 - 12 September 2025

Abstract This study presents a comprehensive mechanical analysis of P110S oil tubing subjected to thermal and chemical coupling effects, with particular attention to the presence of rectangular corrosion defects. Drawing on the material’s stress–strain constitutive behavior, thermal expansion coefficient, thermal conductivity, and electrochemical test data, the research incorporates geometric nonlinearities arising from large deformations induced by corrosion. A detailed three-dimensional finite element (FE) model of the corroded P110S tubing is developed to simulate its response under complex loading conditions. The proposed model is rigorously validated through full-scale burst experiments and analytical calculations based on theoretical formulations.… More >

Meenakshi S. Patil^1,*, Rajesh B. Ghongade², Hemant B. Dhonde³

Journal on Artificial Intelligence, Vol.7, pp. 289-300, 2025, DOI:10.32604/jai.2025.069500 - 12 September 2025

Abstract This study seeks to establish a novel, semi-automatic system that utilizes Industry 4.0 principles to effectively determine both acceptable and rejectable concrete cubes with regard to their failure modes, significantly contributing to the dependability of concrete quality evaluations. The study utilizes image processing and machine learning (ML) methods, namely object detection models such as YOLOv8 and Convolutional Neural Networks (CNNs), to evaluate images of concrete cubes. These models are trained and validated on an extensive database of annotated images from real-world and laboratory conditions. Preliminary results indicate a good performance in the classification of concrete More >

Hadeel AlQadi¹, Fatimah M. Alghamdi², Hamada H. Hassan³, Mohamed E. Mead⁴, Ahmed Z. Afify^5,*

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.2, pp. 2029-2061, 2025, DOI:10.32604/cmes.2025.069801 - 31 August 2025

Abstract Parametric survival models are essential for analyzing time-to-event data in fields such as engineering and biomedicine. While the log-logistic distribution is popular for its simplicity and closed-form expressions, it often lacks the flexibility needed to capture complex hazard patterns. In this article, we propose a novel extension of the classical log-logistic distribution, termed the new exponential log-logistic (NExLL) distribution, designed to provide enhanced flexibility in modeling time-to-event data with complex failure behaviors. The NExLL model incorporates a new exponential generator to expand the shape adaptability of the baseline log-logistic distribution, allowing it to capture a… More >

Baojun Qin^1,2, Hong Jiang^1,2,3, Wei Zhang⁴, Xiang Liu^4,*

Structural Durability & Health Monitoring, Vol.19, No.5, pp. 1203-1220, 2025, DOI:10.32604/sdhm.2025.063813 - 05 September 2025

Abstract The utilization of high-strength steel bars (HSSB) within concrete structures demonstrates significant advantages in material conservation and mechanical performance enhancement. Nevertheless, existing design codes exhibit limitations in addressing the distinct statistical characteristics of HSSB, particularly regarding strength design parameters. For instance, GB50010-2010 fails to specify design strength values for reinforcement exceeding 600 MPa, creating technical barriers for advancing HSSB implementation. This study systematically investigates the reliability of eccentric compression concrete columns reinforced with 600 MPa-grade HSSB through high-order moment method analysis. Material partial factors were calibrated against target reliability indices prescribed by GB50068-2018, incorporating critical More >

Ling Ji^1,2,*, Nan Jiang³, Yingbo Ren³, Tao Yin¹, Haibo Wang¹, Bing Cheng⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.1, pp. 267-288, 2025, DOI:10.32604/cmes.2025.066596 - 31 July 2025

Abstract During the construction of bank slopes involving pile driving, ensuring slope stability is crucial. This requires the design of appropriate support systems and a thorough evaluation of the failure mechanisms of pile structures under dynamic loading conditions. Based on the Huarong Coal Wharf project, various support schemes are analyzed using numerical simulation methods to calculate and compare slope stability coefficients. The optimal scheme is then identified. Under the selected support scheme, a numerical model of double-row suspended steel sheet piles is developed to investigate the dynamic response of the pile structures under pile driving loads.… More >

Prasanna Kottapalle^1,*, Tan Kuan Tak², Pravin Ramdas Kshirsagar³, Gopichand Ginnela⁴, Vijaya Krishna Akula⁵

CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 3857-3892, 2025, DOI:10.32604/cmc.2025.065287 - 03 July 2025

Abstract Heart failure prediction is crucial as cardiovascular diseases become the leading cause of death worldwide, exacerbated by the COVID-19 pandemic. Age, cholesterol, and blood pressure datasets are becoming inadequate because they cannot capture the complexity of emerging health indicators. These high-dimensional and heterogeneous datasets make traditional machine learning methods difficult, and Skewness and other new biomarkers and psychosocial factors bias the model’s heart health prediction across diverse patient profiles. Modern medical datasets’ complexity and high dimensionality challenge traditional prediction models like Support Vector Machines and Decision Trees. Quantum approaches include QSVM, QkNN, QDT, and others.… More >