Reviewing the novel machine learning tools for materials design

A Mosavi, T Rabczuk, AR Varkonyi-Koczy - Recent Advances in …, 2018 - Springer
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 …

A level-set based IGA formulation for topology optimization of flexoelectric materials

H Ghasemi, HS Park, T Rabczuk - Computer Methods in Applied Mechanics …, 2017 - Elsevier
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 …

A NURBS-based inverse analysis for reconstruction of nonlinear deformations of thin shell structures

N Vu-Bac, TX Duong, T Lahmer, X Zhuang… - Computer Methods in …, 2018 - Elsevier
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 …

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 …

Multi-objective optimization of laminated composite beam structures using NSGA-II algorithm

T Vo-Duy, D Duong-Gia, V Ho-Huu, HC Vu-Do… - Composite …, 2017 - Elsevier
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 …

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 …

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 …

An efficient multi-stage optimization approach for damage detection in plate structures

D Dinh-Cong, T Vo-Duy, V Ho-Huu… - … in Engineering Software, 2017 - Elsevier
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 …

A polytree-based adaptive polygonal finite element method for multi-material topology optimization

KN Chau, KN Chau, T Ngo, K Hackl… - Computer Methods in …, 2018 - Elsevier
This study presents a polytree-based adaptive methodology for multi-material topology
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

MS Es-Haghi, A Shishegaran, T Rabczuk - Frontiers of Structural and Civil …, 2020 - Springer
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 …