Neural networks in civil engineering: 1989–2000
H Adeli - Computer‐Aided Civil and Infrastructure Engineering, 2001 - Wiley Online Library
The first journal article on neural network application in civil/structural engineering was
published by in this journal in 1989. This article reviews neural network articles published in …
published by in this journal in 1989. This article reviews neural network articles published in …
Machine learning techniques for civil engineering problems
Y Reich - Computer‐Aided Civil and Infrastructure Engineering, 1997 - Wiley Online Library
The growing volume of information databases presents opportunities for advanced data
analysis techniques from machine learning (ML) research. Practical applications of ML are …
analysis techniques from machine learning (ML) research. Practical applications of ML are …
Knowledge transfer through machine learning in aircraft design
The modern aircraft has evolved to become an important part of our society. Its design is
multidisciplinary in nature and is characterized by complex analyses of mutually …
multidisciplinary in nature and is characterized by complex analyses of mutually …
Mesh optimization using an improved self-organizing mechanism
As more powerful computing hardware enables higher resolution simulations, a fast and
flexible mesh optimization method is becoming increasingly indispensable for …
flexible mesh optimization method is becoming increasingly indispensable for …
MeshingNet3D: Efficient generation of adapted tetrahedral meshes for computational mechanics
We describe a new algorithm for the generation of high quality tetrahedral meshes using
artificial neural networks. The goal is to generate close-to-optimal meshes in the sense that …
artificial neural networks. The goal is to generate close-to-optimal meshes in the sense that …
How to teach neural networks to mesh: Application on 2-D simplicial contours
A Papagiannopoulos, P Clausen, F Avellan - Neural Networks, 2021 - Elsevier
A machine learning meshing scheme for the generation of 2-D simplicial meshes is
proposed based on the predictions of neural networks. The data extracted from meshed …
proposed based on the predictions of neural networks. The data extracted from meshed …
Development of seismic response simulation model for building structures with semi-active control devices using recurrent neural network
HS Kim - Applied Sciences, 2020 - mdpi.com
A structural analysis model to represent the dynamic behavior of building structure is
required to develop a semi-active seismic response control system. Although the finite …
required to develop a semi-active seismic response control system. Although the finite …
A self-learning finite element extraction system based on reinforcement learning
Automatic generation of high-quality meshes is a base of CAD/CAE systems. The element
extraction is a major mesh generation method for its capabilities to generate high-quality …
extraction is a major mesh generation method for its capabilities to generate high-quality …
Techniques for predicting cracking pattern of masonry wallet using artificial neural networks and cellular automata
Y Zhang, GC Zhou, Y Xiong, MY Rafiq - Journal of Computing in …, 2010 - ascelibrary.org
This paper introduces innovative artificial intelligent techniques for directly predicting the
cracking patterns of masonry wallets, subjected to vertical loading. The von Neumann …
cracking patterns of masonry wallets, subjected to vertical loading. The von Neumann …