Jin Xue, Boyun Guo^*

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.3, pp. 3307-3328, 2025, DOI:10.32604/cmes.2025.069909 - 30 September 2025

Abstract Fluid imbibition from hydraulic fractures into shale formations is mainly affected by a combination of capillary forces and viscous resistance, both of which are closely related to the pore geometry. This study established five self-imbibition models with idealized pore structures and conducted a comparative analysis of these models. These models include circular, square, and equilateral triangular capillaries; a triangular star-shaped cross-section formed by three tangent spherical particles; and a traditional porous medium representation method. All these models are derived based on Newton’s second law, where capillary pressure is described by the Young-Laplace equation and viscous… More >

Liang Yin^1,*, Huanqi Zhang², Jie Ding¹, Mehdi Khan¹

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.8, pp. 1861-1873, 2025, DOI:10.32604/fdmp.2025.064187 - 12 September 2025

Abstract In liquid rocket engines, regenerative cooling technology is essential for preserving structural integrity under extreme thermal loads. However, non-uniform coolant flow distribution within the cooling channels often leads to localized overheating, posing serious risks to engine reliability and operational lifespan. This study employs a three-dimensional fluid–thermal coupled numerical model to systematically investigate the influence of geometric parameters—specifically the number of inlets, the number of channels, and inlet manifold configurations—on flow uniformity and thermal distribution in non-pyrolysis zones. Key findings reveal that increasing the number of inlets from one to three significantly enhances flow uniformity, reducing… More >

Buddhini Chaturika Jayasinghe¹, Neel Chaminda Withanage¹, Prabuddh Kumar Mishra^2,*

Revue Internationale de Géomatique, Vol.34, pp. 707-729, 2025, DOI:10.32604/rig.2025.067395 - 12 September 2025

Abstract Road Traffic Accidents (RTAs) pose significant threats to public safety and urban infrastructure. While numerous studies have addressed this issue in other countries, there remains a notable gap in localized RTA research in Sri Lanka. In this context, the present study investigates the spatial and temporal patterns of RTAs in the Matara urban area in 2023, with the goal of supporting evidence-based policy interventions. A suite of GIS-based spatial analysis techniques including hotspot analysis, kernel density estimation, GiZscore mapping, and spatial autocorrelation (Moran’s I = 0.36, p < 0.01) was applied to examine the distribution and… More >

Yuhao Zhang^1,2,3, Peiqiang Zhao^1,2, Xing Chen^1,2, Shaoxuan Zhang⁴, Xinglin Zhang^1,2,*

Structural Durability & Health Monitoring, Vol.19, No.5, pp. 1343-1365, 2025, DOI:10.32604/sdhm.2025.066558 - 05 September 2025

Abstract The structural integrity monitoring of high-density polyethylene (HDPE) geomembranes in landfill containment systems presents a critical engineering challenge due to the material’s vulnerability to mechanical degradation and the complex vibration propagation characteristics in large-scale installations. This study proposes a dual-stream deep learning framework that synergistically integrates raw vibration signal analysis with physics-guided feature extraction to achieve precise rupture detection and localization. The methodology employs a hierarchical neural architecture comprising two parallel branches: a 1D convolutional network processing raw accelerometer signals to capture multi-scale temporal patterns, and a physics-informed branch extracting material-specific resonance features through continuous More >

Orkhan Jafarli^*

Energy Engineering, Vol.122, No.9, pp. 3595-3608, 2025, DOI:10.32604/ee.2025.067982 - 26 August 2025

Abstract This study investigates the feasibility and efficiency of geothermal energy for heating applications in Azerbaijan, with a specific focus on the Khachmaz region. Despite the country’s growing interest in sustainable energy, limited research has addressed the potential of ground-source heat pump (GSHP) systems under local climatic and soil conditions. To address this gap, the study employs GeoT*SOL simulation to evaluate system performance, incorporating site-specific parameters such as soil thermal conductivity, heating demand profiles, and regional weather data. The results show that the GSHP system achieves a maximum seasonal performance factor (SPF) of 5.62 and an… More >

Kofi Bonsu^*, Olivier Bonin

Revue Internationale de Géomatique, Vol.34, pp. 639-654, 2025, DOI:10.32604/rig.2025.067000 - 11 August 2025

Abstract This study analyzes the spatial accessibility of key services in Caen, France, focusing on how different transport modes (car, bicycle, and public transit) influence access to essential services across the urban and suburban landscape. Indeed, the introduction of traffic restrictions in towns with low emission zones encourages a detailed study, on a fine spatial scale, of the differences in accessibility between different modes of transport, for different services and for different journey times. Using spatial analysis techniques, we examine accessibility patterns in relation to services such as shops, healthcare, education, and tourism, highlighting significant disparities… More >

Kelvin Kang Wee Tang^1,*, Muhammad Hafiz Mohd Yatim¹, Norhadija Darwin², Wan Anom Wan Aris¹, Sim Ching Yen³, Nurfazira Mohamed Fadil³

Revue Internationale de Géomatique, Vol.34, pp. 587-602, 2025, DOI:10.32604/rig.2025.065583 - 06 August 2025

Abstract The integration of Unmanned Aerial Vehicles (UAVs) and Uncrewed Surface Vehicles (USVs) has revolutionized topographic and bathymetric mapping, significantly enhancing the accuracy and efficiency of geospatial data acquisition processes. This innovative approach synergistically combines terrestrial data collected by UAVs with underwater data obtained through USVs, culminating in the creation of unified high-resolution Digital Elevation Models (DEMs) of the river basin region represents a vital step toward understanding the dynamic interactions between land and water bodies. Hence, the seamless Topo-Bathymetric Elevation Model offers a detailed perspective of the river system, supporting informed decision-making in addressing sediment… More >

Yazeed Alkhrijah^1,2, Shehzad Khalid³, Syed Muhammad Usman^4,*, Amina Jameel³, Danish Hamid⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.1, pp. 1113-1141, 2025, DOI:10.32604/cmes.2025.068726 - 31 July 2025

Abstract Arabic Sign Language (ArSL) recognition plays a vital role in enhancing the communication for the Deaf and Hard of Hearing (DHH) community. Researchers have proposed multiple methods for automated recognition of ArSL; however, these methods face multiple challenges that include high gesture variability, occlusions, limited signer diversity, and the scarcity of large annotated datasets. Existing methods, often relying solely on either skeletal data or video-based features, struggle with generalization and robustness, especially in dynamic and real-world conditions. This paper proposes a novel multimodal ensemble classification framework that integrates geometric features derived from 3D skeletal joint… More >

Ibrahim T. Teke^1,2, Ahmet H. Ertas^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.1, pp. 201-237, 2025, DOI:10.32604/cmes.2025.066644 - 31 July 2025

Abstract Fatigue failure continues to be a significant challenge in designing structural and mechanical components subjected to repeated and complex loading. While earlier studies mainly examined material properties and how stress affects lifespan, this review offers the first comprehensive, multiscale comparison of strategies that optimize geometry to improve fatigue performance. This includes everything from microscopic features like the shape of graphite nodules to large-scale design elements such as fillets, notches, and overall structural layouts. We analyze and combine various methods, including topology and shape optimization, the ability of additive manufacturing to fine-tune internal geometries, and reliability-based More >

Xinyu Li^1,2, Gang Wan², Xinyang Chen³, Liyue Qie³, Xinnan Fan³, Pengfei Shi³, Jin Wan^3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.1, pp. 1071-1090, 2025, DOI:10.32604/cmes.2025.064775 - 31 July 2025

Abstract The inherent limitations of 2D object detection, such as inadequate spatial reasoning and susceptibility to environmental occlusions, pose significant risks to the safety and reliability of autonomous driving systems. To address these challenges, this paper proposes an enhanced 3D object detection framework (FastSECOND) based on an optimized SECOND architecture, designed to achieve rapid and accurate perception in autonomous driving scenarios. Key innovations include: (1) Replacing the Rectified Linear Unit (ReLU) activation functions with the Gaussian Error Linear Unit (GELU) during voxel feature encoding and region proposal network stages, leveraging partial convolution to balance computational efficiency… More >