Reprint

Numerical Simulation and Computational Methods in Engineering and Sciences

Edited by
June 2024
470 pages
  • ISBN978-3-7258-0955-4 (Hardback)
  • ISBN978-3-7258-0956-1 (PDF)

This is a Reprint of the Special Issue Numerical Simulation and Computational Methods in Engineering and Sciences that was published in

Computer Science & Mathematics
Engineering
Physical Sciences
Public Health & Healthcare
Summary

Over the last few decades, numerical simulation has become a critical tool in addressing scientific and engineering complexities, propelled by advancements in computing technology and computational methods. This Special Issue compiles cutting-edge research on mathematical simulation and computational techniques, emphasizing innovative algorithms and their cross-field applications. The focus is on fostering interdisciplinary collaborations and developing robust computational tools to tackle contemporary challenges. It features original contributions from leading researchers, highlighting innovative methodologies and their impact in solving intricate problems. This compilation aims to disseminate knowledge, foster collaborations, and inspire further research, pushing the boundaries of engineering and scientific exploration.

Format
  • Hardback
License and Copyright
© 2024 by the authors; CC BY-NC-ND license
Keywords
fractional-order system; time-delay feedback; vibrational resonance; FitzHugh–Nagumo neuron; numerical simulation; groundwater flow; generalized finite difference method; Crank–Nicolson; transient; meshless collocation method; semi-analytical; radial Trefftz basis functions; transient wave propagation analysis; inverse Cauchy problem; Laplace equation; localized boundary knot method; noise; multiply domain; meshless local Petrov-Galerkin approach (MLPG); finite volume methods; mixed methods; adaptive algorithm; time-domain; moving least squares (MLS); renewable energy; wind power forecasting; hybrid model; machine learning; failure characteristics; surrounding rock of roadway; repeated mining; close-distance coal seam; stability control technology; short-term load forecasting (STLF); stacking ensemble learning; similar-days forecasting; sliding window; broad learning system–backpropagation (BLS–BP); tidal stream turbine; CFD; fatigue life; fluid–structure interaction; blade safety factor; recursive skeletonization factorization; Burton–Miller-type singular boundary method; fast solver; fundamental solution; acoustic design sensitivity; singular boundary method; meshless methods; exponential window method; saturated soil; transient dynamic response analysis; lithium-ion battery; concentration-dependent material property; nonlinear volume change; NMC electrode; finite element simulation; diffuser-augmented tidal stream turbine; near wake structure; turbulent intensity; entropy production theory; Rortex criterion; wind speed forecasting; wind farm cluster; input set based on wind farm cluster data; robustness analysis; deep extreme learning machine; multidimensional average method; meshfree techniques; numerical methods; spatial discretization; transient analysis; time integration; SEI formation; core–double-shell structure; stress; fracture; debonding; electrochemical model; shear wall; macromodel; deep neural network; genetic algorithm; OpenSees; simulation; sheet hydroforming; optimization; Nimonic 90; mechanical properties; formability; design of experiments; finite element analysis; Box–Behnken design; magnetohydrodynamics; Williamson nanofluid; quasi-linearization; chemical reaction; thermal radiation; wind speed forecasting; Hampel identifier; improved variational mode decomposition; grey wolf optimization; DLinear; time-of-flight mass spectrometer; electron microscope; electrostatic lens; electrostatic mirror; relativistic effect; system of singular integral equations; factorized functions; eigenfunctions; eigenvalues; computational programming; user-defined functions; hemodynamic simulations; coronary arteries; Windkessel model; viscoelastic property of blood; boundary element method; magnetic fields; numerical integration; Laplace equation; Fredholm integral equation; active distribution networks; DISCO profit; distributed generators; energy storage systems; evolutionary computation; numerical simulation; speedup factor; computational fluid dynamic; complex structure; simulation accuracy