⚡ Category

eess

2594 papers

⚡ electrical engineering

Sulphate and chloride durability of metakaolin-blended palm kernel shell concrete masonry units: separating the contributions of the pozzolan and the agro-waste aggregate

This study demonstrates that while metakaolin significantly enhances the sulphate and chloride durability of palm kernel shell concrete masonry units by refining pore structure, the inclusion of the lightweight agro-waste aggregate partially offsets these gains, resulting in a net durability improvement that correlates weakly with water-accessible porosity and is characterized by matrix softening rather than mass loss.

Nova John, Vincent Sam Jebadurai S, Hemalatha G2026-10-22
⚡ electrical engineering

SAC-enhanced iterative learning control with two-layer barrier mapping for nonlinear MIMO systems with asymmetric input constraints

This paper proposes a Soft Actor-Critic augmented Proportional-Derivative Iterative Learning Control scheme with a two-layer barrier mapping strategy to achieve uniform ultimate boundedness and improved tracking performance for nonlinear MIMO systems under asymmetric input constraints and nonrepetitive disturbances.

Hongfeng Tao, Fei Shao, Zhihe Zhuang, Wojciech Paszke2026-10-22
⚡ electrical engineering

Modeling Capillary Heterogeneity in Geological CO2 Storage via Finite-volume Discretization with Interface Conditions

This paper introduces an enhanced finite-volume scheme called PPU-C, which incorporates discrete interface conditions to accurately model capillary heterogeneity in geological CO2 storage simulations, achieving significant improvements in trapping volume prediction accuracy with less than 25% computational overhead compared to standard methods.

Ammar Alali, Bradley Mallison, Omar Duran, Hamdi Tchelepi2026-10-22
⚡ electrical engineering

Applications of Deep Soil Mixing for Soft Soil Improvement in East and Southeast Asia: A Scoping Review

This scoping review of 30 studies from 2010–2025 confirms that deep soil mixing is an effective method for improving soft and marine clay in East and Southeast Asia, though it highlights a critical need for more field-based investigations and standardized design guidelines to address discrepancies between laboratory and actual performance.

James Victor Fabio Diez, Gerry "Bo" Bagtas, Alejandro Espera, Ian Pinganon, Rosel Grace Ocon2026-10-22
⚡ electrical engineering

Predictive Degradation Modelling of Solar Encapsulants: A Deep Learning Approach to IEC 61215 Thermal Cycling

This study introduces a high-accuracy deep learning framework utilizing LSTM and Random Forest models on a physics-informed synthetic dataset to predict the thermal cycling degradation of mica nanoclay-reinforced EVA encapsulants, demonstrating that a 5 wt.% filler concentration optimizes durability and significantly accelerates the design of resilient photovoltaic modules without relying on lengthy physical testing.

Samuel Adekunle Dada2026-10-22
⚡ electrical engineering

A Stabilized Mixed Hybrid Finite Element Framework for Large-Deformation Poromechanics with Torsion: Application to Transmural Perfusion and Vascular Hemodynamics

This paper presents a stabilized mixed hybrid finite element framework that effectively resolves volumetric locking and pressure oscillations in large-deformation poromechanics under torsion, demonstrating through analytical and numerical validation that torsional twist significantly reduces endocardial fiber stress and improves perfusion modeling accuracy in hypertensive hearts compared to standard formulations.

Kamyar Malakpoor2026-10-22
⚡ electrical engineering

Mechanical Performance and High-Energy Photon Attenuation of a Slag-Based Geopolymer Concrete Incorporating Calcined Brezina Dam Sediments

This study demonstrates that calcined sediments from Algeria's Brezina Dam can effectively replace up to 20% of secondary binders in slag-based geopolymer concrete to enhance mechanical strength, while Monte Carlo simulations suggest the resulting material offers radiation shielding properties comparable to standard concrete.

Sallai Hind, Elhadj Dihi, Aya Ouali, Abd El Djailil Hamidi, Asma Idrici2026-10-22
⚡ electrical engineering

Causal Filter Phase Sensitivity in Deep Electrocardiographic Classifiers: Multi-Cohort Evaluation, Confound Decoupling, and Phase Augmentation

This study reveals that deep ECG classifiers are highly vulnerable to causal filter phase dispersion, causing significant diagnostic degradation across multiple cohorts, but demonstrates that a novel Stochastic All-Pass Phase Augmentation (AP-Aug) training strategy can effectively mitigate this vulnerability while preserving baseline accuracy.

Álvaro García-Casas2026-10-22