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 >

Wenxia Cheng¹, Qinliu Cao¹, Bin Yuan¹, Jiale Yan^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.3, pp. 3197-3214, 2025, DOI:10.32604/cmes.2025.065041 - 30 June 2025

Abstract As a critical component of pulse solid rocket motors (SRMs), the soft pulse separation device (PSD) is vital in enabling multi-pulse propulsion and has become a breakthrough in SRM engineering applications. To investigate the opening performance of the PSD, an axial PSD incorporating a star-shaped prefabricated defect was designed. The opening process was simulated using peridynamics, yielding the strain field distribution and the corresponding failure mode. A single-opening verification test was conducted. The simulation results showed good agreement with the experimental data, demonstrating the reliability of the peridynamic modeling approach. Furthermore, the effects of the… More >

Huabo Wu^1,2, Jialiao Zhou³, Lan Huang^1,2,*, Zi Wang^1,2,*, Liming Tan^1,2, Jin Lv⁴, Feng Liu^1,2

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.3, pp. 2675-2709, 2025, DOI:10.32604/cmes.2025.064854 - 30 June 2025

Abstract Nickel-based superalloys are indispensable for high-temperature engineering applications, yet their additive manufacturing (AM) is plagued by significant cracking defects. This review investigates crack failure mechanisms in AM nickel-based superalloys, emphasizing methodologies to evaluate crack sensitivity and compositional design strategies to mitigate defects. Key crack types—solidification, liquation, solid-state, stress corrosion, fatigue, and creep-fatigue cracks—are analyzed, with focus on formation mechanisms driven by thermal gradients, solute segregation, and microstructural heterogeneities. Evaluation frameworks such as the Rappaz-Drezet-Gremaud (RDG) criterion, Solidification Cracking Index (SCI), and Strain Age Cracking (SAC) index are reviewed for predicting crack susceptibility through integration of… More >

Lei Yang^1,*, Jianfeng Wang¹, Minjing Liu¹, Chunyu Chen², Zhanjun Wu^3,4

CMC-Computers, Materials & Continua, Vol.84, No.1, pp. 265-279, 2025, DOI:10.32604/cmc.2025.065676 - 09 June 2025

Abstract Embedding optical fiber sensors into composite materials offers the advantage of real-time structural monitoring. However, there is an order-of-magnitude difference in diameter between optical fibers and reinforcing fibers, and the detailed mechanism of how embedded optical fibers affect the micromechanical behavior and damage failure processes within composite materials remains unclear. This paper presents a micromechanical simulation analysis of composite materials embedded with optical fibers. By constructing representative volume elements (RVEs) with randomly distributed reinforcing fibers, the optical fiber, the matrix, and the interface phase, the micromechanical behavior and damage evolution under transverse tensile and compressive… More >

Osnamir E. Bru-Cordero¹, Cecilia Castro², Víctor Leiva^3,*, Mario C. Jaramillo-Elorza⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.2, pp. 1401-1431, 2025, DOI:10.32604/cmes.2025.064487 - 30 May 2025

Abstract Most reliability studies assume large samples or independence among components, but these assumptions often fail in practice, leading to imprecise inference. We address this issue by constructing confidence intervals (CIs) for the reliability of two-component systems with Weibull distributed failure times under a copula-frailty framework. Our construction integrates gamma-distributed frailties to capture unobserved heterogeneity and a copula-based dependence structure for correlated failures. The main contribution of this work is to derive adjusted CIs that explicitly incorporate the copula parameter in the variance-covariance matrix, achieving near-nominal coverage probabilities even in small samples or highly dependent settings. More >