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 …
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 …
Next generation prediction model for daily solar radiation on horizontal surface using a hybrid neural network and simulated annealing method
SM Mousavi, ES Mostafavi, P Jiao - Energy conversion and management, 2017 - Elsevier
Accurate prediction of solar radiation is essential for optimal design of solar systems. This
paper presents an innovative artificial intelligence approach for the determination of the …
paper presents an innovative artificial intelligence approach for the determination of the …
Emerging applications of artificial intelligence in structural engineering and construction industry
With the beaming concept of Construction 4.0, the disciplines of structural engineering and
construction industry needs an advancement for the data collection, interpretation and …
construction industry needs an advancement for the data collection, interpretation and …
Data mining methodology employing artificial intelligence and a probabilistic approach for energy-efficient structural health monitoring with noisy and delayed signals
Numerous methods have been developed in the context of expert and intelligent systems for
structural health monitoring (SHM) with wireless sensor networks (WSNs). However, these …
structural health monitoring (SHM) with wireless sensor networks (WSNs). However, these …
Damage identification in aircraft structures with self‐powered sensing technology: A machine learning approach
Progress in self‐powered wireless sensor networks for structural health monitoring (SHM)
have motivated the development of power‐efficient data communication protocols. One such …
have motivated the development of power‐efficient data communication protocols. One such …
A new approach for modeling of flow number of asphalt mixtures
Flow number of asphalt-aggregate mixtures is an explanatory parameter for the analysis of
rutting potential of asphalt mixtures. In this study, a new model is proposed for the …
rutting potential of asphalt mixtures. In this study, a new model is proposed for the …
An algorithmic framework for reconstruction of time-delayed and incomplete binary signals from an energy-lean structural health monitoring system
Recent advances in energy harvesting technologies have led to the development of self-
powered structural health monitoring (SHM) techniques that are power-efficient. Energy …
powered structural health monitoring (SHM) techniques that are power-efficient. Energy …
Stability assessment of homogeneous slopes loaded with mobile tracked cranes—An artificial neural network approach
X Ai, AM Zsaki - Cogent Engineering, 2017 - Taylor & Francis
Construction projects often involve the use of mobile crawler cranes to excavate, backfill,
dredge or move material and equipment on or near slopes. Crane manufacturers often only …
dredge or move material and equipment on or near slopes. Crane manufacturers often only …
Detection of nonlinear structural behavior using time-frequency and multivariate analysis
Most of the practical engineering structures exhibit nonlinearity due to nonlinear dynamic
characteristics of structural joints, nonlinear boundary conditions and nonlinear material …
characteristics of structural joints, nonlinear boundary conditions and nonlinear material …