Shu-Chuan Chu^1,2, Libin Fu², Jeng-Shyang Pan^1,2,3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.148, No.1, 2026, DOI:10.32604/cmes.2026.084391 - 27 July 2026

Abstract The Animated Oat Optimization Algorithm (AOO) is a novel evolutionary algorithm inspired by the behavior of animated oats. This paper proposes a Competitive Parallel Animated Oat Optimization Algorithm (CPAOO) comprising two components. First, a parallel strategy is employed in which inter-subpopulation communication is triggered at predefined iteration thresholds to balance exploration and exploitation. Second, a grouped competition strategy with incentive mechanisms is introduced, enabling the prioritized evolution of superior individuals to enhance the algorithm’s efficiency. Furthermore, building on the Prediction Error Expansion (PEE) algorithm, this paper proposes a Dual-Layer PEE (DLPEE) algorithm for reversible digital More >

Lei Yang^1,2, Yiyun Hu¹, Xianglong Yang^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.148, No.1, 2026, DOI:10.32604/cmes.2026.083905 - 27 July 2026

Abstract Accurate prediction of entropy generation in nanofluid turbulent convection is essential for optimizing thermal system efficiency, yet remains challenging due to complex near-wall phenomena and thermal property variations with temperature. This study applied an elliptic blending turbulence model (SST k-ω-φ-α) to numerically analyze entropy generation in alumina-water nanofluid flow through a uniformly heated circular tube. The model’s performance was validated using both experimental data and established heat transfer and fluid flow correlations at small wall-bulk temperature difference condition, and its superiority was rigorously evaluated against two widely adopted turbulence models (SST k-ω and realizable k-ε).… More >

Yiqiao Xiang¹, Jingchun Zhou^1,2,*, Ruijie Liu¹, Dehuan Zhang¹

CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.082357 - 23 July 2026

Abstract Underwater imagery is degraded by depth-dependent absorption and scattering, which often introduce color casts and contrast attenuation. Although recent Vision Mamba models provide efficient long-range dependency modeling, their conventional 2D scanning patterns are not explicitly designed to exploit the depth-correlated structure of underwater degradation and may therefore weaken geometry-aware feature dependencies. To address this limitation, we propose Isoline-Guided Evolutionary Mamba (IG-Mamba), a physics-inspired framework that uses a depth-correlated potential prior to organize state-space token propagation. Specifically, we introduce a Topology-Preserving Isoline Scanning mechanism. By leveraging a geometric prior, this mechanism quantizes the scene into discrete… More >

Johannes D. Pelda^*, Sebastian Aichele, Dmitry Romanov, Stefan Holler

Energy Engineering, Vol.123, No.8, 2026, DOI:10.32604/ee.2026.079450 - 12 July 2026

Abstract The transformation of district heating systems in Germany is a central topic in energy and climate policy, given the 2045 climate neutrality targets. This study focuses on the main district heating system in the city of Göttingen in Germany, whose heat generation currently relies primarily on three Combined Heat and Power (CHP) plants subsidized under the German CHP Act, one wood chip boiler and two gas boilers. In 2025, the network’s heating demand amounted to 89 GWh, which was mainly covered by wood chips or biogas (41%) and natural gas (21%). This paper examines an… More > Graphic Abstract

Xiutai Cao¹, Yuxin Sun¹, Bowen Shi¹, Hao Zhang¹, Hongli Tang¹, Yongbin Bi^1,2, Huiying Zhong^1,3,*

Energy Engineering, Vol.123, No.8, 2026, DOI:10.32604/ee.2025.074439 - 12 July 2026

Abstract With the steady advancement of China’s “Dual-Carbon” goals, CO₂ huff-and-puff technology has become one of the mainstream methods for enhancing oil recovery (EOR) in oilfields. However, differences in sweep radius of CO₂, CO₂-oil interaction mechanisms, injection parameters, and huff-and-puff modes between conventional heavy-oil and light-oil reservoirs still require further investigation. The NP oilfield consists of an upper heavy-oil zone and a lower light-oil zone, with the reservoir inclined at a certain angle. Taking this oilfield as the study area, a positively rhythmic reservoir geological model was established. A compositional numerical simulation approach was employed to analyze the… More > Graphic Abstract

Khlieeq Ul Zaman^1,2,*, Ahmad Saeed³, Muhammad Awais Khan², Hafiz Abdul Basit⁴, Shaharyar², Maria Anum², Rani Ummay Farwa^2,*, Mahmood Iqbal¹, Ali Raza²

Revue Internationale de Géomatique, Vol.35, pp. 409-422, 2026, DOI:10.32604/rig.2026.083214 - 02 July 2026

Abstract Groundwater is the primary buffer against water scarcity in rapidly urbanizing regions, yet its sustainable management is constrained by limited hydrogeological data. This study presents an integrated Geographic Information System (GIS) remote sensing framework strengthened with Artificial Intelligence (AI) to delineate groundwater potential zones (GWPZs) in the Islamabad Capital Territory. Six thematic layers—slope, drainage density, lithology, rainfall, land use/land cover (LULC), and the Normalized Difference Vegetation Index (NDVI)—were derived from SRTM DEM, Sentinel-2 imagery, geological maps, and climate records. Each layer was standardized, reclassified, and weighted using the Analytical Hierarchy Process (AHP). A complete pairwise… More >

Dapeng Zou^1,2, Jun Wang^1,*

Journal of Polymer Materials, Vol.43, No.2, 2026, DOI:10.32604/jpm.2026.081141 - 30 June 2026

Abstract Reducing the oil-to-water ratio (OWR) of oil-based drilling fluids (OBDFs) to ultra-low levels (e.g., 55:45) exacerbates barite sag—a failure mode driven by barite’s inherent hydrophilicity and the weakened suspending capacity of the oil phase. Conventional low-molecular-weight wetting agents fail under these demanding conditions due to weak adsorption and thermal instability. In direct response to the solid-phase control challenge described above, we designed and synthesized a new hyperbranched polymeric wetting agent (HP-Wet) via a deliberate molecular topology strategy. The HP-Wet architecture incorporates phosphonate groups for robust anchoring onto barite surfaces and long alkyl chains to confer… More >

Feng Dai¹, Jiajun Xie¹, Yingmin Liu¹, De Heng¹, Yinfu Han^2,3, Shanshan Hou^2,3,*

Journal of Polymer Materials, Vol.43, No.2, 2026, DOI:10.32604/jpm.2026.080437 - 30 June 2026

Abstract With the increasing emphasis on green, low-carbon, and sustainable development in shale gas drilling fluids, the utilization of waste biomass resources to develop high-performance drilling fluid additives has emerged as an important research direction that balances engineering requirements with environmental responsibility. In this study, waste cotton–derived polyanionic cellulose (bio-PAC) was employed as the base material, and sulfonate and carboxylate functional groups were introduced via free-radical graft copolymerization to synthesize a modified cellulose polymer, PAC-g-(sodium vinyl sulfonate, SVS/sodium methallyl sulfonate, SMAS/methacrylic acid, MAA). Structural characterization confirmed the successful grafting of the target functional groups onto the… More >

Cristina Roxana Popa¹, Maria Tănase^2,*, Gheorghe Brănoiu³, Elena-Emilia Sirbu^4,5, Cătălina Călin⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.3, 2026, DOI:10.32604/cmes.2026.082244 - 30 June 2026

Abstract Glass-fiber-reinforced polymer (GFRP) pipes are increasingly used in aggressive environments due to their high corrosion resistance and favorable mechanical properties. However, long-term exposure to saline environments and elevated temperatures can lead to degradation of their structural performance. This study investigates the influence of accelerated saltwater aging on the tensile behavior and structural characteristics of GFRP pipes and proposes machine-learning-based predictive models for the ultimate tensile strength (UTS). Experimental specimens were immersed in a 3.5% NaCl solution under controlled temperature and exposure time conditions. Tensile testing revealed that the unexposed samples exhibited a maximum UTS of… More >

Naseer Muhammad Khan^1,2, Liqiang Ma^3,*, Majid Khan⁴, Sajjad Hussain⁵, Waleed Inqiad⁶, Tariq Feroze², Danial Jahed Armaghani^7,*

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.3, 2026, DOI:10.32604/cmes.2026.081660 - 30 June 2026

Abstract Rock fracture behavior under stress is vital for risk evaluation in underground engineering excavation because the presence of water can significantly increase the extent of cracks and fractures in rock, leading to structural damage. This can result in catastrophic failures, including rock bursts, coal bursts, and water inrush. Hence, reliable prediction of rock damage and fracture processes is still lacking, which, in turn, enables the safe and efficient conduct of engineering projects in rock-mass environments. Thus, this study examines both dry and saturated sandstone samples under loading using Infrared Radiation (IR), Acoustic Emission (AE) monitoring,… More >