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A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
(
Academic Press
, 2021 , Article Review)
Monitoring structural damage is extremely important for sustaining and preserving the service life of civil structures. While successful monitoring provides resolute and staunch information on the health, serviceability, ...
A New Benchmark Problem for Structural Damage Detection: Bolt Loosening Tests on a Large-Scale Laboratory Structure
(
Springer
, 2022 , Conference Paper)
Monitoring the structural performance of engineering structures has always been pertinent for maintaining structural health and assessing the life cycle of structures. Structural Health Monitoring (SHM) and Structural ...
Convolutional neural networks for real-time and wireless damage detection
(
Springer New York LLC
, 2020 , Conference Paper)
Structural damage detection methods available for structural health monitoring applications are based on data preprocessing, feature extraction, and feature classification. The feature classification task requires considerable ...
Control of plate vibrations with artificial neural networks and piezoelectricity
(
Springer New York LLC
, 2020 , Conference Paper)
This paper presents a method for active vibration control of smart thin cantilever plates. For model formulation needed for controller design and simulations, finite difference technique is used on the cantilever plate ...
Structural health monitoring with self-organizing maps and artificial neural networks
(
Springer New York LLC
, 2020 , Conference Paper)
The use of self-organizing maps and artificial neural networks for structural health monitoring is presented in this paper. The authors recently developed a nonparametric structural damage detection algorithm for extracting ...
Review on the production of medium and small chain fatty acids through waste valorization and CO2 fixation
(
Elsevier Ltd
, 2020 , Article)
The developing approaches in the recovery of resources from biowastes for the production of renewable value-added products and fuels, using microbial cultures as bio-catalyst have now became promising aspect. In the path ...
The impact of rural expressway environments: drivers’ attention allocation to variable message signs
(
Taylor & Francis
, 2022 , Article)
Variable Message Signs (VMS) are implemented at varying locations of the expressway. In this study, we compared the drivers’ attention allocation to a ‘drive safely’ message on several VMS gantries that were located at six ...
Safety and security perceptions in informal transport: the case of Tunisia
(
Taylor & Francis
, 2022 , Article)
This study aims to evaluate the perception of safety and security in informal transport in Tunisia. This research employs a questionnaire-based survey of passengers and drivers of informal transport in Tunisia. Interviews ...
Using driving simulator to study the effect of crash fact signs on speeding behaviour along freeways
(
Taylor & Francis
, 2022 , Article)
A driving simulator study was utilized to evaluate a potential countermeasure for speeding behaviour in order to reduce speed spillover. The behaviour of 56 subjects was observed. Participants drove a freeway for 5300 ...
Perspectives on food waste management: Prevention and social innovations
(
Elsevier
, 2022 , Article Review)
Food waste is one of the challenging issues humans are facing. A third of the food produced in the world is wasted at various points along the food supply chain. Food waste can be reduced by developing technology that can ...