Janvi Sharma^1,*, Mukund N. Bapat²

Journal of Polymer Materials, Vol.43, No.1, 2026, DOI:10.32604/jpm.2026.072228 - 03 April 2026

Abstract A new, cost-effective porous polymer composite was developed by reinforcing polypropylene (PP) with cenosphere particles. This study investigates how the composite’s dielectric properties are affected by their porosity. Dielectric constant (ε^′) measurements were taken over a range of frequencies at room temperature. A theoretical model was developed to explain the electrical conductivity of the porous PP/cenosphere composites. The study thoroughly examined how the inclusion of cenosphere particles influenced key electrical parameters, including dielectric constant, dissipation factor (tanδ), DC (direct current) conductivity, and AC (alternating current) conductivity. The results revealed that increasing the cenosphere content caused a… More >

Ruqayah A. Ulwali, Nada K. Abbas^*

Chalcogenide Letters, Vol.23, No.3, 2026, DOI:10.32604/cl.2026.078934 - 03 April 2026

Abstract In this study, zinc sulfide nanoparticles (ZnS NPs) and zinc sulfide @ Silver sulfide core-shells (ZnS@Ag₂S NPs) were prepared using the green method with mint leaf extract as a reducing and coating agent, at varying concentrations of silver nitrate (AgNO₃) (0.005, 0.01, and 0.02 M). X-ray diffraction analysis (XRD) results showed the formation of a cubic phase of ZnS NPs and a monoclinic phase of Ag₂S with increasing silver nitrate concentration. The average crystalline size of ZnS NPs was calculated to be 2.01 nm and (2.78, 2.65, and 2.13 nm) after Ag₂S formation, while the shell (Ag₂S) was… More >

Shuigen Hu^1,2, Hao Wang³, Qingyang Wei^4,*, Maosen Cao^2,4, Drahomír Novák⁵

Structural Durability & Health Monitoring, Vol.20, No.2, 2026, DOI:10.32604/sdhm.2025.073665 - 31 March 2026

Abstract As vital hydraulic infrastructures, concrete dams demand uncompromising safety assurance. Seismic effect commonly serves as a potential factor contributing to the damage of concrete dams, making seismic performance analysis crucial for structural integrity. Numerical simulation based on damage mechanics is usually considered as the approach for investigating the seismic damage behavior of concrete dams. To address the limitations of existing studies and extract the key dynamic characteristics of concrete arch dams, a concrete elastoplastic damage mechanics model is adopted, a seismic load input technique involving the viscoelastic boundary along with equivalent nodal forces is generated,… More >

Qi Feng^1,2, Dan Wang^3,*, Weijie Hu¹, Wenhao Zhao²

Structural Durability & Health Monitoring, Vol.20, No.2, 2026, DOI:10.32604/sdhm.2025.072968 - 31 March 2026

Abstract Engineered Cementitious Composites (ECC) represent an advanced class of fiber-reinforced cement-based materials developed over the past three decades, characterized by remarkable tensile strain-hardening and multiple-cracking behavior. By incorporating hybrid fibers, Hybrid Fiber engineered cementitious composites (HFECC) can be tailored to meet specific engineering demands in terms of strength, deformation, dynamic mechanical performance, and cost-effectiveness. This paper provides a comprehensive review of the critical fiber volume theory, experimental investigations into quasi-static and dynamic mechanical properties, and the structural performance of HFECC. Furthermore, current research gaps and future directions for the development and application of HFECC are More >

Yu Shen¹, Yi Liu¹, Hanchen Zhang², Liuyang Li^3,4, Kaiming Pan⁵, Qinghe Fang^2,*

Structural Durability & Health Monitoring, Vol.20, No.2, 2026, DOI:10.32604/sdhm.2025.072871 - 31 March 2026

Abstract This study presents a systematic numerical analysis of wind loads on offshore photovoltaic (PV) panels. A computational fluid dynamics (CFD) model, incorporating a free-surface wave boundary condition, is developed and validated against experimental data. Parametric investigations quantify the effects of wind speed, panel tilt angle, clearance, and wave characteristics on the aerodynamic coefficients (drag, lift, and moment). Results indicate that all force coefficients increase with wind speed, with the lift coefficient being most sensitive to wave action. While a larger tilt angle intensifies airflow disturbance and amplifies the coefficients, this effect is more pronounced over More >

Trinh Thi Nhu Quynh¹, Hoa-Cuc. Nguyen², Bich-Ngoc. Mach², Thanh Q. Nguyen^3,4,*

Structural Durability & Health Monitoring, Vol.20, No.2, 2026, DOI:10.32604/sdhm.2025.070202 - 31 March 2026

Abstract This study introduces a method for processing various types of random real-world signals from bridges in both experimental models and real-world scenarios using a wireless sensor system. By analyzing and processing signals collected during actual traffic on bridges, the study identifies and provides parameters that meet current quality inspection requirements to ensure the safety of bridge users. The parameters investigated in this study include deformation, natural frequency, amplitude, impact factor, and damping coefficient. Research has determined and highlighted key parameters to assess the quality of bridge spans to meet quality inspection standards. Using actual traffic More >

Yisheng Liu^*, Xufeng Sun, Zhifeng Chen

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.3, 2026, DOI:10.32604/fdmp.2026.077267 - 31 March 2026

Abstract This study addresses the optimization of automated yarn handling in textile manufacturing by examining the related suction process through a combined numerical and experimental approach. In particular, a three-dimensional model of the suction nozzle was coupled with an equivalent linear-elastic beam representation of the yarn, and a Fluent–IDW–Abaqus weakly coupled fluid–structure interaction (FSI) framework was employed to capture the yarn’s release and dynamic response under negative-pressure suction. High-speed imaging experiments validated the simulations, demonstrating excellent agreement in displacements and velocities. According to the results, increasing the initial suction pressure from −0.04 MPa to −0.06 MPa More >

Xujun Gao¹, Wei Chen¹, Bo Ma¹, Rukun Hu¹, Liao Zhang¹, Yongzhi Lei¹, Wenbin Han¹, Yuanji Li², Xiaohu Yang^2,*

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.3, 2026, DOI:10.32604/fdmp.2026.078389 - 31 March 2026

Abstract Enhancing the efficiency of phase-change heat storage is vital for maximizing the utilization of renewable energy. This study examines the synergistic effect of non-uniformly shaped fins and nanoparticles on the melting performance of phase-change storage tanks. The problem is addressed using a finite volume framework coupled with the enthalpy–porosity method, with the numerical model rigorously validated against experimental data. The analysis explores the influence of varying fin deflection angles and nanoparticle concentrations on melting dynamics. It is shown that a downward fin deflection of 6° reduces melting time to 570 s, representing a 20.8% improvement More > Graphic Abstract

Heming Xu¹, Haichao Zhou^1,*, Wei Zhang¹, Wenxuan He¹, Lin Bo²

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.3, 2026, DOI:10.32604/fdmp.2026.075610 - 31 March 2026

Abstract This review addresses four key themes in automotive aerodynamics: flow instability in the wheel region, the aerodynamic characteristics of rims, the aerodynamic behavior of tires, and drag reduction strategies based on flow control around the wheels. The wheel region, comprising the tire, rim, and adjacent aerodynamic components, typically represents the major source of vehicle drag owing to the inherently complex flow generated by wheel rotation, tread geometry, and rim design, which gives rise to flow separation, vortex shedding, and turbulence. Drawing on a broad body of experimental and numerical research, this review elucidates the mechanisms More >

Chengang Dong^1,2, Yongkang Ding², Jianwei Hu^1,3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.079062 - 30 March 2026

Abstract Real-time multi-person pose estimation (MPE) built upon neural network architectures aims to simultaneously detect multiple human instances and regress joint coordinates in dynamic scenes. However, due to factors such as high model complexity and limited expression of keypoint information, both the efficiency and accuracy of real-time MPE remain to be improved. To mitigate the adverse impacts caused by the aforementioned issues, this work develops FSEM-Pose, a real-time MPE model rooted in the YOLOv10 framework. In detail, first, FSEM-Pose upgrades the backbone module of the baseline network by introducing the Feature Shuffling-Convolution (FS-Conv), which effectively reduces More >