Jiye Chen^1,*, Min Fu², Sudath Loku-Pathirage³, Bing Leng⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.073689 - 30 March 2026

Abstract Slope failures, particularly in railway embankments during intense rainfall, are a major cause of economic damage and humanitarian loss. To forecast how shear cracks develop in slopes under heavy precipitation, we present a novel modeling framework: the Extended Cohesive Damage Element enhanced by soil moisture (SMECDE). The method first translates forecasted rainfall into soil moisture levels via an established correspondence. Then, recognizing that rainfall infiltration lowers soil cohesion—particularly at varying depths—we introduce a Soil Moisture Decoherence Model (SMDM) based on experimental data, which quantifies how cohesion degrades with moisture and how depth affects this process. More >

Bo Zeng¹, Junfeng Li¹, Liqing Chen¹, Qiyong Gou¹, Hao Luo², Haiyan Zhu², Xuanhe Tang^2,*

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.2, 2026, DOI:10.32604/fdmp.2026.069978 - 04 March 2026

Abstract Deep shale gas reservoirs in the southern Sichuan Basin are typically characterized by significant horizontal stress anisotropy (expressed as stress difference), variable brittleness–ductility in rock mechanics, and strong heterogeneity. These complex geomechanical conditions lead to pronounced differences in hydraulic fracturing outcomes among wells and sections. To investigate hydraulic fracture propagation and fracturing fluid injection behavior under varying geomechanical settings, true triaxial physical simulation tests were performed on 400 × 400 × 400 mm artificial rock samples. The samples were designed with different media properties based on similarity criteria. A sensitivity analysis was conducted to assess… More >

Geng Zhang¹, Xiangyu Ding², Zidan Wen², Chao Liu², Duyen T. P. Nguyen³, Jinxiu Song⁴, Zejin Zhang⁵, Zhiming Yan^1,6, Yuanhua Wang^1,*, Zhengnan Yan^2,*

Phyton-International Journal of Experimental Botany, Vol.95, No.2, 2026, DOI:10.32604/phyton.2026.077381 - 28 February 2026

Abstract As a pivotal environmental factor, light, comprising intensity, photoperiod, and spectrum, governs the entire life cycle of strawberries by mediating alterations in the plant’s morphological, physiological, and biochemical traits. Although extensive research has been conducted on light-mediated growth regulation in horticultural crops, most reviews focus primarily on leafy and fruiting vegetables, with limited attention given to berry crops such as strawberries. Additionally, most existing reviews concentrate on one or several growth stages, failing to systematically characterize light’s effects throughout the entire growth cycle and postharvest stage. This review briefly summarizes the regulatory roles of light More >

Zhengrong Chen^1,2,*, Yu Qi², Maojun Fang², Bo Wang², Xin Xie², Le Sun², Wei Liu¹

Energy Engineering, Vol.123, No.3, 2026, DOI:10.32604/ee.2025.064770 - 27 February 2026

Abstract The migration, accumulation, and high yield of hydrocarbons in tight sandstone reservoirs are closely tied to the natural fracture systems within the reservoirs. Large-scale fracture networks not only enhance reservoir seepage capacity but also influence effective productivity and subsequent fracturing reconstruction. Given the diverse mechanical behaviors, such as migration, penetration, or fracture arrest, traditional assumptions about fracture interaction criteria fail to address this complexity. To resolve these issues, a global cohesive element method is proposed to model random natural fractures. This approach verifies intersection models based on real-time stress conditions rather than pre-set criteria, enabling… More >

Hui Chen¹, Mohammed A. H. Ali^1,*, Bushroa Abd Razak¹, Zhenya Wang², Yusoff Nukman¹, Shikai Zhang¹, Zhiwei Huang¹, Ligang Yao³, Mohammad Alkhedher⁴

CMC-Computers, Materials & Continua, Vol.87, No.1, 2026, DOI:10.32604/cmc.2026.065539 - 10 February 2026

Abstract Most existing path planning approaches rely on discrete expansions or localized heuristics that can lead to extended re-planning, inefficient detours, and limited adaptability to complex obstacle distributions. These issues are particularly pronounced when navigating cluttered or large-scale environments that demand both global coverage and smooth trajectory generation. To address these challenges, this paper proposes a Wave Water Simulator (WWS) algorithm, leveraging a physically motivated wave equation to achieve inherently smooth, globally consistent path planning. In WWS, wavefront expansions naturally identify safe corridors while seamlessly avoiding local minima, and selective corridor focusing reduces computational overhead in More >

Zhirong Jin^1,*, Xiaorui Hou¹, Yanrong Ge¹, Tiankui Guo², Ming Chen², Shuyi Li², Tianyu Niu²

Energy Engineering, Vol.123, No.2, 2026, DOI:10.32604/ee.2025.070750 - 27 January 2026

Abstract Hydraulic fracturing serves as a critical technology for reservoir stimulation in deep coalbed methane (CBM) development, where the mechanical properties of gangue layers exert a significant control on fracture propagation behavior. To address the unclear mechanisms governing fracture penetration across coal-gangue interfaces, this study employs the Continuum-Discontinuum Element Method (CDEM) to simulate and analyze the vertical propagation of hydraulic fractures initiating within coal seams, based on geomechanical parameters derived from the deep Benxi Formation coal seams in the southeastern Ordos Basin. The investigation systematically examines the influence of geological and operational parameters on cross-interfacial fracture… More >

Kunjie Wang, Chenghai Xu^*, Xinliang Zhao, Songhe Meng

The International Conference on Computational & Experimental Engineering and Sciences, Vol.34, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.011534

Abstract Considering the high-temperature application environment and quasi-brittle characteristics, the high-temperature fracture toughness of C/SiC composites is of great significance for the safety application of components in service.
In this work, the fracture toughness of PIP-C/SiC composites at 25–1600 ℃ in inert atmosphere was tested. The test results show that the fracture toughness and modes of C/SiC composites have significant temperature dependence and difference in in-plane and out-of-plane orientations. With the rising of temperature, the carrying capacity and KIC of C/SiC composites increase first and then decrease, and an inflection point occurs near the fabrication temperature.… More >

Asma Batool¹, Fahad Ahmed¹, Naila Sammar Naz¹, Ayman Altameem², Ateeq Ur Rehman^3,4, Khan Muhammad Adnan^5,*, Ahmad Almogren^6,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 4129-4152, 2025, DOI:10.32604/cmes.2025.073149 - 23 December 2025

Abstract Early and accurate cancer diagnosis through medical imaging is crucial for guiding treatment and enhancing patient survival. However, many state-of-the-art deep learning (DL) methods remain opaque and lack clinical interpretability. This paper presents an explainable artificial intelligence (XAI) framework that combines a fine-tuned Visual Geometry Group 16-layer network (VGG16) convolutional neural network with layer-wise relevance propagation (LRP) to deliver high-performance classification and transparent decision support. This approach is evaluated on the publicly available Kaggle kidney cancer imaging dataset, which comprises labeled cancerous and non-cancerous kidney scans. The proposed model achieved 98.75% overall accuracy, with precision, More >

Quang-Thai Nguyen^1,2,#, Duong Ngoc Hai^3,4,#, The-Duc Nguyen^1,3,4,*, Van-Tu Nguyen^2,*, Jinyul Hwang², Warn-Gyu Park²

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 3433-3452, 2025, DOI:10.32604/cmes.2025.070570 - 23 December 2025

Abstract This study presents a numerical analysis of the effects of a rigid flat wall with oscillating motion on the pressure wave propagation during a single spherical cavitation bubble collapse at different initial bubble positions. Different nondimensional distances S = 0.8, 0.9, 1.0, 1.1, 1.2 and 1.3 were considered to investigate the effects of initial in-phase and out-of-phase oscillations of the flat wall. Numerical simulations of cavitation bubble collapse near an oscillating wall were conducted using a compressible two-phase flow model. This model incorporated the Volume of Fluid (VOF) interface-sharpening technique on a general curvilinear moving… More > Graphic Abstract

Sari Masri, Ahmad Hasasneh^*

Computer Systems Science and Engineering, Vol.49, pp. 481-497, 2025, DOI:10.32604/csse.2025.068616 - 10 October 2025

Abstract Diagnosing dental disorders using routine photographs can significantly reduce chair-side workload and expand access to care. However, most AI-based image analysis systems suffer from limited interpretability and are trained on class-imbalanced datasets. In this study, we developed a balanced, transformer-based pipeline to detect three common dental disorders: tooth discoloration, calculus, and hypodontia, from standard color images. After applying a color-standardized preprocessing pipeline and performing stratified data splitting, the proposed vision transformer model was fine-tuned and subsequently evaluated using standard classification benchmarks. The model achieved an impressive accuracy of 98.94%, with precision, recall and F1 scores More >