Yangyang Cao, Jiye Zhang^*, Jiawei Shi, Yao Zhang

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.5, pp. 1079-1098, 2025, DOI:10.32604/fdmp.2025.060429 - 30 May 2025

Abstract The pantograph area is a critical source of aerodynamic noise in high-speed trains, generating noise both directly and through its cavity, a factor that warrants considerable attention. One effective method for reducing aerodynamic noise within the pantograph cavity involves the introduction of a jet at the leading edge of the cavity. This study investigates the mechanisms driving cavity aerodynamic noise under varying jet velocities, using Improved Delayed Detached Eddy Simulation (IDDES) and Ffowcs Williams-Hawkings (FW-H) equations. The numerical simulations reveal that an increase in jet velocity results in a higher elevation of the shear layer… More >

Qi Deng¹, Qi Ruan², Bo Zeng¹, Qiang Liu³, Yi Song¹, Shen Cheng¹, Huiying Tang^2,*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.5, pp. 1201-1219, 2025, DOI:10.32604/fdmp.2025.060311 - 30 May 2025

Abstract Over more than a decade of development, medium to deep shale gas reservoirs have faced rapid production declines, making sustained output challenging. To harness remaining reserves effectively, advanced fracturing techniques such as infill drilling are essential. This study develops a complex fracture network model for dual horizontal wells and a four-dimensional in-situ stress evolution model, grounded in elastic porous media theory. These models simulate and analyze the evolution of formation pore pressure and in-situ stress during production. The investigation focuses on the influence of infill well fracturing timing on fracture propagation patterns, individual well productivity, and… More >

Chinedu Nwaigwe^1,2,*, Abdon Atangana²

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.5, pp. 1239-1259, 2025, DOI:10.32604/fdmp.2025.059925 - 30 May 2025

Abstract In the early stages of oil exploration, oil is produced through processes such as well drilling. Later, hot water may be injected into the well to improve production. A key challenge is understanding how the temperature and velocity of the injected hot water affect the production rate. This is the focus of the current study. It proposes variable-viscosity mathematical models for heat and water saturation in a reservoir containing Bonny-light crude oil, with the aim of investigating the effects of water temperature and velocity on the recovery rate. First, two sets of experimental data are… More >

Tao Wang^1,2, Haiyang Yu^1,*, Jie Gao², Fei Wang², Xinlong Zhang^3,*, Hao Yang², Guirong Di², Pengrun Wang²

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.5, pp. 1191-1200, 2025, DOI:10.32604/fdmp.2025.058865 - 30 May 2025

Abstract Oilfields worldwide are increasingly grappling with challenges such as early water breakthrough and high water production, yet direct, targeted solutions remain elusive. In recent years, chemical flooding techniques designed for tertiary oil recovery have garnered significant attention, with microgel flooding emerging as a particularly prominent area of research. Despite its promise, the complex mechanisms underlying microgel flooding have been rarely investigated numerically. This study aims to address these gaps by characterizing the distribution of microgel concentration and viscosity within different pore structures. To enhance the accuracy of these characterizations, the viscosity of microgels is adjusted More >

Yu Zhang¹, Shang-Zhen Yu², Jia-Jia Yu^2,3,*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.5, pp. 1151-1169, 2025, DOI:10.32604/fdmp.2025.057804 - 30 May 2025

Abstract RP-3 is a kind of aviation kerosene commonly used in hypersonic and scramjet engines due to its superior thermal stability, high energy density, and ability to act as a coolant before combustion. However, it is known that coke can be generated during the cooling process as a carbonaceous deposition on metal walls and its effects on the cooling performance are still largely unknown. To explore the influence mechanism of porous coke on heat transfer characteristics of supercritical RP-3 in the regenerative cooling channel, a series of computational simulations were conducted via a three-dimensional CFD… More >

Liang Ai¹, Mingyue Li², Lumin Chen¹, Yihua Gao², Yi Sun¹, Yue Wu¹, Fuping Qian^1,*, Jinli Lu², Naijin Huang³

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.5, pp. 1171-1190, 2025, DOI:10.32604/fdmp.2025.055985 - 30 May 2025

Abstract In this study, Computational Fluid Dynamics (CFD) together with a component transport model are exploited to investigate the influence of dimensionless parameters, involving the height of the rectifier grid and the installation height of the first catalyst layer, on the flow field and the overall denitration efficiency of a cement kiln’s SCR (Selective catalytic reduction) denitrification reactor. It is shown that accurate numerical results can be obtained by fitting the particle size distribution function to the actual cement kiln fly ash and implementing a non-uniform particle inlet boundary condition. The relative error between denitration More >

Pravinkumar Bhujangrao Landge¹, Yashpal Singh¹, Hitesh Mohapatra², Seyyed Ahmad Edalatpanah^3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.2, pp. 1661-1688, 2025, DOI:10.32604/cmes.2025.065599 - 30 May 2025

Abstract Internet of things networks often suffer from early node failures and short lifespan due to energy limits. Traditional routing methods are not enough. This work proposes a new hybrid algorithm called ACOGA. It combines Ant Colony Optimization (ACO) and the Greedy Algorithm (GA). ACO finds smart paths while Greedy makes quick decisions. This improves energy use and performance. ACOGA outperforms Hybrid Energy-Efficient (HEE) and Adaptive Lossless Data Compression (ALDC) algorithms. After 500 rounds, only 5% of ACOGA’s nodes are dead, compared to 15% for HEE and 20% for ALDC. The network using ACOGA runs for More >

Khizer Mehmood¹, Naveed Ishtiaq Chaudhary^2,*, Zeshan Aslam Khan³, Khalid Mehmood Cheema⁴, Muhammad Asif Zahoor Raja², Sultan S. Alshamrani⁵, Kaled M. Alshmrany⁶

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.2, pp. 1809-1841, 2025, DOI:10.32604/cmes.2025.064900 - 30 May 2025

Abstract Aquila Optimizer (AO) is a recently proposed population-based optimization technique inspired by Aquila’s behavior in catching prey. AO is applied in various applications and its numerous variants were proposed in the literature. However, chaos theory has not been extensively investigated in AO. Moreover, it is still not applied in the parameter estimation of electro-hydraulic systems. In this work, ten well-defined chaotic maps were integrated into a narrowed exploitation of AO for the development of a robust chaotic optimization technique. An extensive investigation of twenty-three mathematical benchmarks and ten IEEE Congress on Evolutionary Computation (CEC) functions… More >

Yujie Li¹, Zhongju Feng^1,*, Fuchun Wang¹, Jiang Guan², Xiaoqian Ma³

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.2, pp. 1549-1573, 2025, DOI:10.32604/cmes.2025.064785 - 30 May 2025

Abstract To study the dynamic response rules of pile foundations of mega-bridges over faults in strong seismic areas, a finite element model of the pile foundation-soil-fault interaction of the Haiwen Bridge is established. The 0.2–0.6 g peak acceleration of the 5010 seismic waves is input to study the effect of the seismic wave of different intensities and the distance changes between the fault and the pile foundation on the dynamic response of the pile body. The results show that the soil layer covering the bedrock amplifies the peak pile acceleration, and the amplifying effect decreases with… More >

Yi-Chen Lee¹, Yann-Horng Lin², Wen-Jer Chang^2,*, Muhammad Shamrooz Aslam^3,*, Zi-Yao Lin²

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.2, pp. 1433-1461, 2025, DOI:10.32604/cmes.2025.064717 - 30 May 2025

Abstract An optimal fuzzy tracking synthesis for nonlinear discrete-time descriptor systems is discussed through the Parallel Distributed Compensation (PDC) approach and the Proportional-Difference (P-D) feedback framework. Based on the Takagi-Sugeno Fuzzy Descriptor Model (T-SFDM), a nonlinear discrete-time descriptor system is represented as several linear fuzzy subsystems, which facilitates the linear P-D feedback technique and streamlines the fuzzy controller design process. Leveraging the P-D feedback fuzzy controller, the closed-loop T-SFDM can be transformed into a standard system that guarantees non-impulsiveness and causality for the nonlinear discrete-time descriptor system. In view of the disturbance problems, a passive performance… More >