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 …
An intelligent structural damage detection approach based on self-powered wireless sensor data
This study presents the results of an ongoing research project conducted by the US Federal
Highway Administration (FHWA) on developing an intelligent approach for structural …
Highway Administration (FHWA) on developing an intelligent approach for structural …
Detection of fatigue cracking in steel bridge girders: A support vector machine approach
This study presents an artificial intelligence approach for the detection of distortion-induced
fatigue cracking of steel bridge girders based on the data provided by self-powered wireless …
fatigue cracking of steel bridge girders based on the data provided by self-powered wireless …
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 …
Proposed Machine Learning Techniques for Bridge Structural Health Monitoring: A Laboratory Study
Structural health monitoring for bridges is a crucial concern in engineering due to the
degradation risks caused by defects, which can become worse over time. In this respect …
degradation risks caused by defects, which can become worse over time. In this respect …
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 …
Fatigue cracking detection in steel bridge girders through a self-powered sensing concept
Abstract Development of fatigue cracking is affecting the structural performance of many of
welded steel bridges in the United States. One of the main sources of fatigue cracking is out …
welded steel bridges in the United States. One of the main sources of fatigue cracking is out …
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 …
Supervised damage and deterioration detection in building structures using an enhanced autoregressive time-series approach
In this paper, a supervised learning approach is introduced for detecting both damage and
deterioration in two building models under ambient and forced vibrations. The coefficients …
deterioration in two building models under ambient and forced vibrations. The coefficients …