1639 papers
This paper argues that replacing exogenous cost assumptions with endogenous learning-by-doing in energy system models reveals critical non-linear policy dynamics, including sensitive intervention points and technology coupling, which are otherwise invisible and lead to systematic misestimations of policy effectiveness.
This study demonstrates that fly ash and Ground Granulated Blast-furnace Slag (GGBS) based geopolymers serve as effective, lower-carbon alternatives to ordinary Portland cement for stabilizing Madurai clay, with 35% fly ash and 45% GGBS mixtures significantly enhancing unconfined compressive strength, reducing compressibility, and minimizing volumetric shrinkage.
This paper introduces ST-GNNFormer SurgeCast, a globally adaptive graph transformer framework that successfully unifies tropical cyclone-induced storm surge forecasting across all ocean basins into a single model, demonstrating robust generalization in data-sparse regions and achieving high predictive accuracy on both reanalysis and independent in-situ observational data.
This paper proposes an efficient full-discretization framework based on the Implicit Adams Method to enhance the accuracy and computational efficiency of chatter prediction and stability lobe generation for robotic milling, particularly under low radial immersion and varying postures.
This paper presents an analytical comparison of shallow and deep foundation designs across variable soil strata, demonstrating that while isolated footings are cost-effective in dense sand, deep pile or mat foundations are essential in soft cohesive soils to significantly reduce settlement and prevent structural failure.
This paper addresses the limitations of fragmented, low-temporal-resolution bias correction in multi-frequency GNSS by developing a unified, high-temporal-resolution estimation framework for pseudorange and phase satellite biases, which significantly enhances the performance of Precise Point Positioning (PPP) ambiguity resolution.
This paper proposes a single-stage multiport PV-battery converter utilizing differential power processing to minimize losses by handling only power mismatches, achieving a peak efficiency of 95.8% in EV charging applications compared to 90.2% for conventional full power processing systems.
This paper presents a novel algebraic dual-active-bridge model integrated into a mixed-integer second-order cone optimal power flow framework to accurately capture the three-stage architecture of smart transformers in hybrid AC/DC microgrids, revealing that the medium-voltage rectifier, rather than the dual-active-bridge, is the primary source of energy loss and that explicitly modeling the medium-voltage DC port significantly enhances storage utilization.
This experimental study demonstrates that adding a blend of 15% ethanol and 2.5% diethyl ether to diesel fuel significantly enhances the combustion, energy, and exergy performance of a single-cylinder diesel engine compared to pure diesel and other tested blends.
This study utilizes a refined finite element model in ANSYS to demonstrate that a proposed aluminum-based metal matrix composite significantly outperforms structural steel and gray cast iron in automotive ventilated brake discs by achieving lower operating temperatures and substantial weight reduction, despite exhibiting slightly higher deformation within acceptable limits.