State of the art in structural health monitoring of offshore and marine structures

H Pezeshki, H Adeli, D Pavlou… - Proceedings of the …, 2023 - icevirtuallibrary.com
This paper deals with state of the art in structural health monitoring (SHM) methods in
offshore and marine structures. Most SHM methods have been developed for onshore …

[HTML][HTML] Damage identification in structural health monitoring: A brief review from its implementation to the use of data-driven applications

DA Tibaduiza Burgos, RC Gomez Vargas, C Pedraza… - Sensors, 2020 - mdpi.com
The damage identification process provides relevant information about the current state of a
structure under inspection, and it can be approached from two different points of view. The …

Structural damage detection with automatic feature‐extraction through deep learning

Y Lin, Z Nie, H Ma - Computer‐Aided Civil and Infrastructure …, 2017 - Wiley Online Library
Structural damage detection is still a challenging problem owing to the difficulty of extracting
damage‐sensitive and noise‐robust features from structure response. This article presents a …

A novel unsupervised deep learning model for global and local health condition assessment of structures

MH Rafiei, H Adeli - Engineering Structures, 2018 - Elsevier
A methodology is described for global and local health condition assessment of structural
systems using ambient vibration response of the structure collected by sensors. The model …

Image‐based crack assessment of bridge piers using unmanned aerial vehicles and three‐dimensional scene reconstruction

YF Liu, X Nie, JS Fan, XG Liu - Computer‐Aided Civil and …, 2020 - Wiley Online Library
Crack assessment of bridge piers using unmanned aerial vehicles (UAVs) eliminates unsafe
factors of manual inspection and provides a potential way for the maintenance of …

Recurrent neural network model with Bayesian training and mutual information for response prediction of large buildings

CA Perez-Ramirez, JP Amezquita-Sanchez… - Engineering …, 2019 - Elsevier
An accurate response prediction model is of great importance in various applications such
as damage detection, structural health monitoring, and vibration control. Development of …

Supervised deep restricted Boltzmann machine for estimation of concrete

MH Rafiei, WH Khushefati, R Demirboga… - ACI Materials …, 2017 - search.proquest.com
Costly and time-consuming destructive methods are usually used to determine the
properties of alternative concrete mixtures. To reduce cost and time, statistical and neural …

Integrating structural control, health monitoring, and energy harvesting for smart cities

S Javadinasab Hormozabad, M Gutierrez Soto… - Expert …, 2021 - Wiley Online Library
Cities that are adopting innovative and technology‐driven solutions to improve the city's
efficiency are considered smart cities. With the increased attention on smart cities with self …

Structural damage identification based on unsupervised feature-extraction via variational auto-encoder

X Ma, Y Lin, Z Nie, H Ma - Measurement, 2020 - Elsevier
Structural health monitoring (SHM) is a practical tool for assessing the safety and system
performance of existing structures. And structural damage identification has become the …

Sustainable decision-making in civil engineering, construction and building technology

EK Zavadskas, J Antucheviciene, T Vilutiene, H Adeli - Sustainability, 2017 - mdpi.com
Sustainable decision-making in civil engineering, construction and building technology can
be supported by fundamental scientific achievements and multiple-criteria decision-making …