Reviewing the novel machine learning tools for materials design
Computational materials design is a rapidly evolving field of challenges and opportunities
aiming at development and application of multi-scale methods to simulate, predict and select …
aiming at development and application of multi-scale methods to simulate, predict and select …
A level-set based IGA formulation for topology optimization of flexoelectric materials
This paper presents a design methodology based on a combination of isogeometric analysis
(IGA), level set and point wise density mapping techniques for topology optimization of …
(IGA), level set and point wise density mapping techniques for topology optimization of …
A NURBS-based inverse analysis for reconstruction of nonlinear deformations of thin shell structures
This article presents original work combining a NURBS-based inverse analysis with both
kinematic and constitutive nonlinearities to recover the applied loads and deformations of …
kinematic and constitutive nonlinearities to recover the applied loads and deformations of …
Machine learning approaches to rock fracture mechanics problems: Mode-I fracture toughness determination
YT Wang, X Zhang, XS Liu - Engineering Fracture Mechanics, 2021 - Elsevier
The cracked chevron notched Brazilian disc (CCNBD) specimen is a suggested testing
method to measure Mode-I fracture toughness of rocks by ISRM, which is widely adopted in …
method to measure Mode-I fracture toughness of rocks by ISRM, which is widely adopted in …
Multi-objective optimization of laminated composite beam structures using NSGA-II algorithm
The paper deals with the multi-objective optimization problems of laminated composite
beam structures. The objective function is to minimize the weight of the whole laminated …
beam structures. The objective function is to minimize the weight of the whole laminated …
An improved differential evolution based on roulette wheel selection for shape and size optimization of truss structures with frequency constraints
V Ho-Huu, T Nguyen-Thoi, T Truong-Khac… - Neural computing and …, 2018 - Springer
Structural optimization with frequency constraints is well known as a highly nonlinear and
complex optimization problem with many local optimum solutions. Therefore, to solve such …
complex optimization problem with many local optimum solutions. Therefore, to solve such …
Surface energy effect on free vibration characteristics of nano-plate submerged in viscous fluid
RA Arpanahi, A Eskandari, S Hosseini-Hashemi… - Journal of Vibration …, 2024 - Springer
Purpose The free vibration problem of a thin nanoplate with surface energy immersed in a
viscous fluid medium is investigated in this article to assess the influence of different fluids …
viscous fluid medium is investigated in this article to assess the influence of different fluids …
An efficient multi-stage optimization approach for damage detection in plate structures
The paper presents an efficient multi-stage optimization approach for damage detection in
plate-like structures. In this approach, the damage identification process is achieved by …
plate-like structures. In this approach, the damage identification process is achieved by …
A polytree-based adaptive polygonal finite element method for multi-material topology optimization
This study presents a polytree-based adaptive methodology for multi-material topology
optimization (MMTOP). Polytree data structure is introduced as a general recursive multi …
optimization (MMTOP). Polytree data structure is introduced as a general recursive multi …
Evaluation of a novel Asymmetric Genetic Algorithm to optimize the structural design of 3D regular and irregular steel frames
We propose a new algorithm, named Asymmetric Genetic Algorithm (AGA), for solving
optimization problems of steel frames. The AGA consists of a developed penalty function …
optimization problems of steel frames. The AGA consists of a developed penalty function …