Roberto Felicetti, Pietro G. Gambarova^*, Francesco Lo Monte

Structural Durability & Health Monitoring, DOI:10.32604/sdhm.2026.077081

Abstract Many tests have been conducted over the years in Milan on moderately-thick concrete slabs—with diameter-to-thickness ratios of 5 and 5.5—either reinforced or unreinforced, all subjected to punching, with different mixes, reinforcement technologies, and loading procedures. Their results are revisited systematically in this paper, starting from a thorough review of the literature on moderately thick concrete slabs. The specimens were either square (but fastened to a circular support) or circular. In three experimental campaigns, 99 specimens were tested: 50 under quasi-static loading (including 16 exposed to high temperatures) and 49 under impulsive loading. The first campaign… More >

Xiaozhuo Wang¹, Zhaohong He^2,*, Jun Li², Ruibing Li¹

Energy Engineering, DOI:10.32604/ee.2026.080515

Abstract Floating offshore platforms facilitate the integration of multiple forms of renewable energy generation and exhibit notable advantages in harnessing offshore wind and solar resources, positioning them as a strategically viable and sustainable solution for meeting the energy needs of island communities. A multi-energy complementary power generation system based on floating offshore platforms is proposed for a specific island off-grid, designed to simultaneously meet the electricity and freshwater supply requirements of the island. HOMER software was employed to design a multi-energy complementary power generation system for floating offshore platforms. Given the island’s electricity and water consumption… More >

Boyun Guo^*

Energy Engineering, DOI:10.32604/ee.2026.080366

Abstract It is generally believed that the productivity of oil/gas wells in shale reservoirs increases with the population of hydraulic fractures in the stimulated reservoir volume. The objective of this work is to identify the dominant factors affecting hydraulic fracture population in shale oil/gas reservoirs. A semi-analytical model was first developed to simulate the sequential initiation and simultaneous propagation of hydraulic fractures during fracturing shale gas/oil reservoirs. The semi-analytical model was then coded in the FracPropag computer program for model validation and quick analyses. The sequential initiation and simultaneous propagation of hydraulic fractures predicted by FracPropag… More >

Zahid Javid^1,2, Kush Lohana², Danial Murtaza², William Holderbaum^3,*

Energy Engineering, DOI:10.32604/ee.2026.080073

Abstract This paper introduces a novel hybrid method for Power System State Estimation (PS-SE) that effectively integrates the strengths of Weighted Least Squares (WLS) and the Extended Kalman Filter (EKF) through an adaptive weighting mechanism. The proposed method addresses key challenges in modern PS-SE, including measurement uncertainties, bad data detection and handling, and convergence reliability. By incorporating an adaptive weighting mechanism, the hybrid approach dynamically adjusts estimation parameters based on the quality of the measurements, enabling it to maintain high accuracy for clean data while demonstrating exceptional resilience against outliers and noisy measurements. The performance of… More >

Sravani Parvathareddy^1,*, Abid Yahya¹, Lilian Amuhaya¹, Ravi Samikannu¹, Raymond S. Suglo²

Energy Engineering, DOI:10.32604/ee.2026.079449

Abstract This paper presents a novel framework for the development of a real-time energy management system for mining microgrids, which integrates the benefits of a long short-term memory (LSTM) network and a feedforward neural network (FNN) for the prediction of the load and solar power, and the optimization of the dispatch, respectively, while ensuring the safety of the microgrid through the application of a convex safety filter. In the proposed framework, the LSTM provides probabilistic multi-step forecasts of load and photovoltaic generation, capturing the high volatility characteristic of mining operations with ramp rates up to 5… More >

Wenbing Zhao^1,*, Pan Wang²

CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2026.084481

Abstract This article has no abstract. More >

Siamak Talatahari^*, Amin Beheshti

CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2026.084097

Abstract This article has no abstract. More >

Irfan Saif Ud Din¹, Imran Siddique^2,3,4,5, Zohaib Zahid¹, Muhammad Nadeem⁶, Ibrahim Alraddadi^2,*, Taha Radwan^7,*

CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2026.081726

Abstract This study examines the variable thermal conductivity and electroosmotic performance of Sutterby hybrid nanofluid (SBHNF) thin film flow over a stretched inclined sheet using an artificial neural network (ANN)-based on NARX (Multilayer Nonlinear Autoregressive Networks with Exogenous Inputs) multiple-layer backpropagation simulation with the Levenberg-Marquardt algorithm (LMA). AA7075 and AA7072 nanoparticles suspended in sodium alginate (SA) base fluid make up the hybrid nanofluid (HNF), which was selected due to its improved heat transfer properties and superior thermal conductivity. The model’s practical applicability is enhanced by melting heat, nonlinear thermal radiation, boundary slip, and Newtonian heating effects,… More >

Tan N. Nguyen^1,*, Mohamed-Ouejdi Belarbi², Tan Khoa Nguyen^3,4,*, Canh V. Le⁵, Aman Garg^6,7,*

CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2026.079126

Abstract Imperfections can significantly reduce the load-carrying capacity of structures, especially in thin shells. Such imperfections can stem from inaccurate fabrication and erection and they should be taken into account in the analysis and design. For the first time, post-buckling behavior of functionally graded triply periodic minimal surface (FG-TPMS) shells under axial compression is investigated in this paper. The proposed formulation considers both geometric imperfection and porosity which can be considered as material imperfection. The two types of porosity in this study are the even and uneven porosity distributions. The nonlinear responses of FG-TPMS shells with… More >

Oluwatosin Ahmed Amodu¹, Zurina Mohd Hanapi^1,*, Chedia Jarray², Huda Althumali³, Faten A. Saif ⁴, Raja Azlina Raja Mahmood¹, Mohammed Sani Adam⁵, Nor Fadzilah Abdullah⁵

CMES-Computer Modeling in Engineering & Sciences, DOI:10.32604/cmes.2026.077054

Abstract Non-terrestrial networks (NTNs)—including UAVs, HAPs, and satellite systems—are rapidly becoming key enablers of wide-area, resilient connectivity for large-scale IoT applications. As these platforms integrate with terrestrial networks to form space–air–ground architectures, optimization challenges related to trajectory, resource management, energy efficiency, and security become increasingly complex. Machine learning (ML) has emerged as a central tool for addressing these challenges by enabling adaptive, data-driven decision-making under uncertainty. This survey presents an optimization-centric review of ML-based NTN-assisted IoT systems focusing on aspect-specific datasets. Using a structured methodology involving dataset curation, keyword filtering, metadata analysis, and citation-based paper selection,… More >