Nurlan Zhangabay^1,*, Ulanbator Suleimenov¹, Marco Bonopera^2,*, Ulzhan Ibraimova¹, Shairbek Yeshimbetov³

Structural Durability & Health Monitoring, Vol.19, No.4, pp. 773-787, 2025, DOI:10.32604/sdhm.2025.064980 - 30 June 2025

Abstract This research presents a numerical simulation methodology for optimizing circular composite overlays’ dimensions and pressure characteristics with orthotropic mechanical properties, specifically, for metal conduits with temperature-dependent elastoplastic behavior. The primary objective of the proposed method is to prevent crack propagation during pressure surges from operational to critical levels. This study examines the “Beineu-Bozoy-Shymkent” steel gas conduit, examining its performance across a temperature range of −40 to +50°C. This work builds on prior research on extended avalanche destruction in steel gas conduits and crack propagation prevention techniques. The analysis was conducted using a dynamic finite-element approach… More >

Manqing Qian^*, Xiyu Chen, Yongming Li

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.6, pp. 1353-1377, 2025, DOI:10.32604/fdmp.2025.061652 - 30 June 2025

Abstract Shale reservoirs are characterized by numerous geological discontinuities, such as bedding planes, and exhibit pronounced heterogeneity across rock layers separated by these planes. Bedding planes often possess distinct mechanical properties compared to the surrounding rock matrix, particularly in terms of damage and fracture behavior. Consequently, vertical propagation of hydraulic fractures is influenced by both bedding planes and the heterogeneity. In this study, a numerical investigation into the height growth of hydraulic fractures was conducted using the finite element method, incorporating zero-thickness cohesive elements. The analysis explored the effects of bedding planes, toughness contrasts between layers,… More >

Xuesong Xing¹, Li Wang¹, Guangai Wu¹, Chengyong Peng^1,2,3, Yanan Hou¹, Jingyu Zi¹, Biao Yin^2,3,*

Energy Engineering, Vol.122, No.7, pp. 2911-2930, 2025, DOI:10.32604/ee.2025.065384 - 27 June 2025

Abstract Hydraulic fracturing, an effective method for enhancing coal seam productivity, largely determines coalbed methane (CBM) production, which is significantly influenced by geological and engineering factors. This study focuses on the L block to investigate the mechanisms influencing efficient fracture propagation and enhanced stimulated reservoir volume (SRV) in fracturing. To explore the mechanisms influencing effective fracture propagation and enhanced SRV, the L block was selected as the research object, with a comprehensive consideration of geological background, reservoir properties, and dynamic production data. By combining the discrete lattice method with numerical analysis and true triaxial experimental simulation,… More >

Kun Li¹, Tianfu Li^2,*, Xiuwei Wang¹, Qingchun Meng¹, Zhenjie Wang¹, Jinyang Luo^1,2, Zhaohui Wang¹, Yuedong Yao²

Energy Engineering, Vol.122, No.6, pp. 2215-2238, 2025, DOI:10.32604/ee.2025.062876 - 29 May 2025

Abstract CO₂ flooding for enhanced oil recovery (EOR) not only enables underground carbon storage but also plays a critical role in tertiary oil recovery. However, its displacement efficiency is constrained by whether CO₂ and crude oil achieve miscibility, necessitating precise prediction of the minimum miscibility pressure (MMP) for CO₂-oil systems. Traditional methods, such as experimental measurements and empirical correlations, face challenges including time-consuming procedures and limited applicability. In contrast, artificial intelligence (AI) algorithms have emerged as superior alternatives due to their efficiency, broad applicability, and high prediction accuracy. This study employs four AI algorithms—Random Forest Regression (RFR), Genetic… More >

Hao Huang¹, Kongyu Yang^2,*

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 5373-5391, 2025, DOI:10.32604/cmc.2025.063311 - 19 May 2025

Abstract Many existing immune detection algorithms rely on a large volume of labeled self-training samples, which are often difficult to obtain in practical scenarios, thus limiting the training of detection models. Furthermore, noise inherent in the samples can substantially degrade the detection accuracy of these algorithms. To overcome these challenges, we propose an immune generation algorithm that leverages clustering and a rebound mechanism for label propagation (LP-CRI). The dataset is randomly partitioned into multiple subsets, each of which undergoes clustering followed by label propagation and evaluation. The rebound mechanism assesses the model’s performance after propagation and More >

Zhuang Liu^1,*, Tingen Fan¹, Qianli Lu², Jianchun Guo², Renfeng Yang¹, Haifeng Wang¹

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.4, pp. 851-876, 2025, DOI:10.32604/fdmp.2024.056729 - 06 May 2025

Abstract Thermal shock damage in deep shale hydraulic fracturing can impact fracture propagation behaviors, potentially leading to the formation of complex fractures and enhancing gas recovery. This study introduces a thermal-hydraulic-mechnical (THM) coupled fracture propagation model relying on the phase field method to simulate thermal shock-induced fracturing in the deep shale considering dynamic temperature conditions. The validity of this model is confirmed through comparison of experimental and numerical results concerning the THM-coupled stress field and thermal cracking. Special attention is paid to the interaction of thermal shock-induced fractures in deep shale that contains weak planes. More >

Liang Zhou¹, Qiyao Hu^1,2,3,*, Xianlin Peng^4,5, Qianlong Liu⁶

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 2375-2401, 2025, DOI:10.32604/cmc.2025.061894 - 16 April 2025

Abstract Over 1.3 million people die annually in traffic accidents, and this tragic fact highlights the urgent need to enhance the intelligence of traffic safety and control systems. In modern industrial and technological applications and collaborative edge intelligence, control systems are crucial for ensuring efficiency and safety. However, deficiencies in these systems can lead to significant operational risks. This paper uses edge intelligence to address the challenges of achieving target speeds and improving efficiency in vehicle control, particularly the limitations of traditional Proportional-Integral-Derivative (PID) controllers in managing nonlinear and time-varying dynamics, such as varying road conditions… More >

Zhishui Sheng¹, Hong Jiang¹, Gang Liu², Fulai Zhang³, Wei Zhang^3,*

Structural Durability & Health Monitoring, Vol.19, No.3, pp. 531-548, 2025, DOI:10.32604/sdhm.2024.059662 - 03 April 2025

Abstract Concrete materials are employed extensively in a variety of large-scale structures due to their economic viability and superior mechanical properties. During the service life of concrete structures, they are inevitably subjected to damage from impact loading from natural disasters, such as earthquakes and storms. In recent years, the phase-field model has demonstrated exceptional capability in predicting the stochastic initiation, propagation, and bifurcation of cracks in materials. This study employs a phase-field model to focus on the rate dependency and failure response of concrete under impact deformation. A viscosity coefficient is introduced within the phase-field model… More >

Guolan Wang, Ting Xie, Lijun Fu, Siying Qu, Jie Li^*

Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 953-971, 2025, DOI:10.32604/phyton.2025.060634 - 31 March 2025

Abstract The objective of this study was to determine the optimal proportions of plant growth regulators for growth and non-tube rapid propagation of Cymbidium tortisepalum var. longibracteatum; seedlings were utilized as the material. The effects of various combinations and concentrations of 6-benzylaminopurine (6-BA), gibberellic acid (GA₃), and naphthaleneacetic acid (NAA) on growth and non-tube rapid propagation were assessed through a single-factor testing and response surface methodology. The results indicated that 6-BA at 60 mg/L, GA₃ at 150 mg/L, and NAA at 30 mg/L were the most effective concentrations for promoting leaf buds formation in the single-factor analysis. Response surface… More >

Yuheng Yin, Jiahao Song^*, Minghui Yang

Energy Engineering, Vol.122, No.2, pp. 709-731, 2025, DOI:10.32604/ee.2024.059021 - 31 January 2025

Abstract The lithium battery is an essential component of electric cars; prompt and accurate problem detection is vital in guaranteeing electric cars’ safe and dependable functioning and addressing the limitations of Back Propagation (BP) neural networks in terms of vanishing gradients and inability to effectively capture dependencies in time series, and the limitations of Long-Short Term Memory (LSTM) neural network models in terms of risk of overfitting. A method based on LSTM-BP is put forward for power battery fault diagnosis to improve the accuracy of lithium battery fault diagnosis. First, a lithium battery model is constructed… More > Graphic Abstract