An enhanced dwarf mongoose optimization algorithm for solving engineering problems
This paper proposes a new Enhanced Dwarf Mongoose Optimization Algorithm (EDMOA)
with an alpha-directed Learning Strategy (LS) for dealing with different mathematical …
with an alpha-directed Learning Strategy (LS) for dealing with different mathematical …
Finite element and generalized regression neural network modelling of multiple cracks growth under the influence of multiple crack parameters
Purpose This study presents finite element (FE) and generalized regression neural network
(GRNN) approaches for modeling multiple crack growth problems and predicting crack …
(GRNN) approaches for modeling multiple crack growth problems and predicting crack …
Development of a computational predictive model for the nonlinear in-plane compressive response of sandwich panels with bio-foam
In this study, sandwich structures with commercial-grade aluminium alloy skins and bio-
inspired core (mycofoam) were fabricated and tested to obtain the axial compression …
inspired core (mycofoam) were fabricated and tested to obtain the axial compression …
Support vector machines for predicting the compressive response of defected 3D printed polymeric sandwich structures
Purpose This study aims to investigate the prediction of the nonlinear response of three-
dimensional-printed polymeric lattice structures with and without structural defects. Unlike …
dimensional-printed polymeric lattice structures with and without structural defects. Unlike …
[CITAS][C] EFFICIENT FATIGUE LIFE ASSESSMENT OF COMPOSITE MATERIALS BY USING A HYBRID SURROGATE MODELING
[CITAS][C] SIMULATION OF JOINT STRENGTH OF SINGLE LAP JOINT OF COMPOSITE PLATES BASED ON VARIATIONS OF PLATE THICKNESS AND OVERLAP …
[CITAS][C] INFORMATIVE BOUNDS OF NEURAL NETWORKS PREDICTION FOR COMPOSITE FATIGUE LIFE UNDER VARIABLE AMPLITUDE LOADING
[CITAS][C] EFFECT OF POURING TEMPERATURE AND DEGASSING ON THE CASTING QUALITY OF Al 6061: EXPERIMENTAL AND NUMERICAL STUDY
R Rendi, AT Wibowo, MIP Hidayat - MATERIALS RESEARCH COMMUNICATIONS, 2021