Artificial intelligence, machine learning, and deep learning in structural engineering: a scientometrics review of trends and best practices
Artificial Intelligence (AI), machine learning (ML), and deep learning (DL) are emerging
techniques capable of delivering elegant and affordable solutions which can surpass those …
techniques capable of delivering elegant and affordable solutions which can surpass those …
Emerging artificial intelligence methods in structural engineering
H Salehi, R Burgueño - Engineering structures, 2018 - Elsevier
Artificial intelligence (AI) is proving to be an efficient alternative approach to classical
modeling techniques. AI refers to the branch of computer science that develops machines …
modeling techniques. AI refers to the branch of computer science that develops machines …
Review on engineering structural designs for efficient piezoelectric energy harvesting to obtain high power output
Nowadays, with more electrical devices developed and applied in wide fields, efficient
electrical energy generation is always one of the front-end and practical topics in …
electrical energy generation is always one of the front-end and practical topics in …
Structural health monitoring using extremely compressed data through deep learning
This study introduces a novel convolutional neural network (CNN)‐based approach for
structural health monitoring (SHM) that exploits a form of measured compressed response …
structural health monitoring (SHM) that exploits a form of measured compressed response …
A comprehensive review of self-powered sensors in civil infrastructure: State-of-the-art and future research trends
Rapid development in structural health monitoring systems has led to the invention of
various sensing technologies. Nonetheless, difficulties in deploying and maintaining …
various sensing technologies. Nonetheless, difficulties in deploying and maintaining …
A robust method for safety evaluation of steel trusses using Gradient Tree Boosting algorithm
In this study, an efficient method is proposed for the safety evaluation of steel trusses using
the gradient tree boosting (GTB) algorithm, one of the most powerful techniques in machine …
the gradient tree boosting (GTB) algorithm, one of the most powerful techniques in machine …
Structural health monitoring techniques and technologies for large-scale structures: Challenges, limitations, and recommendations
M AlHamaydeh, N Ghazal Aswad - Practice Periodical on Structural …, 2022 - ascelibrary.org
Engineers, building officials and authorities, developers, and other stakeholders have long
recognized the significance of structural health monitoring (SHM) in civil infrastructure. With …
recognized the significance of structural health monitoring (SHM) in civil infrastructure. With …
A deep learning-based procedure for estimation of ultimate load carrying of steel trusses using advanced analysis
In the present study, Deep Learning (DL) algorithm or Deep Neural Networks (DNN), one of
the most powerful techniques in Machine Learning (ML), is employed for estimation of …
the most powerful techniques in Machine Learning (ML), is employed for estimation of …
Flaw classification and detection in thin‐plate structures based on scaled boundary finite element method and deep learning
S Jiang, C Wan, L Sun, C Du - International Journal for …, 2022 - Wiley Online Library
The identification of internal structural flaws is an important research topic in structural health
monitoring. At present, structural safety inspections based on nondestructive testing …
monitoring. At present, structural safety inspections based on nondestructive testing …
Towards a wireless sensing infrastructure for smart mobility
This paper presents a suite of wireless sensing solutions for the continuous monitoring of
transportation infrastructure using traditional and emerging sensor technologies. First …
transportation infrastructure using traditional and emerging sensor technologies. First …