1593 papers
This paper analyzes the geotechnical mechanisms behind slope failures caused by solid waste dumping in both engineered landfills and informal dumps, drawing on global case studies to argue that conventional stability frameworks are often inadequate for waste masses and proposing practical measures to mitigate instability risks.
This study demonstrates that centrifugal spinning is the superior fabrication method for PVDF/ZnO-based piezoelectric nanogenerators, yielding the highest β-phase content (89%) and electrical output (6.9 V manual, 8.4 V machine, 0.609 µW/cm² power density) compared to electrospinning and spin coating, thereby offering significant potential for self-powered energy harvesting applications.
This paper investigates the application of mean orbital elements in formulating a directional adaptive guidance law for low-thrust orbital transfers, demonstrating their robustness and effectiveness compared to osculating elements in handling high-dimensional optimization problems with natural perturbations across various maneuver types.
This study presents a nonlinear static bending analysis of functionally graded beams with elastic boundary conditions under combined thermal and transverse loads, utilizing von Karman theory and first-order shear deformation theory to demonstrate how boundary flexibility, material gradation, and homogenization methods significantly influence thermo-mechanical responses compared to conventional models.
This paper presents a Knowledge-Activated Design approach that embeds design reasoning, rules, and automated checks directly into automotive CAD models to preserve institutional knowledge and ensure immediate verification of design conditions, while also highlighting critical limitations regarding the separation of fixed parameters from derived values and the necessity of human oversight even when automated checks flag errors.
This study presents a novel decision-support framework that integrates an equation-based EPR-Cubist surrogate model with multi-objective optimization and stakeholder voting algorithms to efficiently identify robust, socially acceptable groundwater management strategies that balance pumping demands with salinity constraints in the Kahak aquifer, Iran.
This study establishes a validated thermomechanical modeling framework combining finite element simulation and experiments to demonstrate that laser-assisted milling with optimized local preheating effectively reduces cutting forces and surface damage in high-volume-fraction SiCp/Al composites.
This paper proposes a novel hybrid machine learning framework that utilizes energy efficiency and performance indicators to predict the remaining energy efficiency life of centrifugal gas compressors, thereby enabling proactive maintenance scheduling to prevent unplanned shutdowns, reduce energy losses, and enhance operational sustainability.
The paper presents the Multi-Sphere Shape (MSS) algorithm, which efficiently generates simplified, sphere-based representations of porous media directly from volumetric image data by placing overlapping spheres on the medial axis, thereby enabling both particle-based simulations and the extraction of key structural descriptors like pore sizes and coordination numbers.
This paper presents a reproducible, modular simulation platform that integrates reliability, energy production, and economic models to project a 45% reduction in the levelized cost of energy for offshore wind farms as they scale from onshore references to next-generation 15 MW floating installations, driven primarily by improved capacity factors, reliability, and O&M economies of scale.