A nonsymmetric freeform optical system uses iterative point-by-point design to achieve compact three-dimensional light deflection.
Generative adversarial multi-headed attention network reconstructs missing aero-engine sensor data through spatial and temporal correlation extraction.
Implicit particle interpolation updates grid distribution functions and particle positions to accelerate lattice Boltzmann fluid animation.
A calculation method determines equilibrium state of tensegrity structures by computing member tensions and pressures.
A reinforcement learning turbulence model processes initial flow data to predict Reynolds stress for updated field calculations.
Calculates optimal steel and FRP bar areas to resolve brittle failure risks, ensuring target ductility and bending capacity in hybrid reinforcement.
A particle flow meso-structural evolution model detects bonded strain, kinetic, and slip energy in roadway surrounding rock masses.
Spherical hinges connect test benches to the frame structure, allowing relative displacement and angle changes during road simulation.
An adaptive total variation denoising method filters vehicle signals using Teager-Kaiser energy evaluation to preserve peak information.
Eight-drive electrodynamic vibration testing apparatus uses supplementary coupling assemblies to control spatial pose of the working platform.
A phoneme-segmented interference noise signal superimposes structured acoustic components onto speech recordings to obscure content.
Force-balance procedures update drag relationships for Geldart group A particles, eliminating arbitrary empirical parameters.
O-ring seals and segmented pressure chambers resolve leakage and uneven stress trade-offs during progressive failure simulation.
Direct design method generates osculating curved waveriders by constructing shock cone envelopes from complex leading-edge profiles.
Simulation identifies critical noise paths to position sound absorbing materials, reducing pass-by noise without increasing vehicle weight or cost.
Neural network processes radial primary function parameters to generate precise actuator voltages for complex mirror surfaces.
Segmenting the curved wall into modular conical frustums reduces reflectivity while simplifying construction complexity.
Buried static pressure sensors feed iterative algorithms that isolate faulty units and reduce computational demand for accurate flight parameter calculation.
A neural network generates simulated impulse responses from scenario layout parameters and audio samples without complex physical modeling.
A grid-free CFD simulation system uses vortex sheets and tubes to model fluid flow dynamics.
Specific dimple geometry satisfies a mathematical formula to maximize lift and minimize drag, resolving the contradiction between flight distance and control.
A Seq2Seq model fuses train vibration and noise data to identify rail corrugation characteristics.
An adaptive multi-level phase-field method simulates crack evolution in elastic materials under thermal shock.