Recent progress and future trends on damage identification methods for bridge structures

Y An, E Chatzi, SH Sim, S Laflamme… - … Control and Health …, 2019 - Wiley Online Library
Damage identification forms a key objective in structural health monitoring. Several state‐of‐
the‐art review papers regarding progress in this field up to 2011 have been published. This …

Strain sensing by electrical capacitive variation: From stretchable materials to electronic interfaces

H Nesser, G Lubineau - Advanced Electronic Materials, 2021 - Wiley Online Library
Sensing the motion of objects and humans is essential for various applications, including
human‐machine interfaces. Over the past few years, motion sensing has been extensively …

Damage detection, localization and quantification in conductive smart concrete structures using a resistor mesh model

A Downey, A D'Alessandro, M Baquera… - Engineering …, 2017 - Elsevier
Interest in self-sensing structural materials has grown in recent years due to their potential to
enable continuous low-cost monitoring of next-generation smart-structures. The …

A large-area strain sensing technology for monitoring fatigue cracks in steel bridges

X Kong, J Li, W Collins, C Bennett… - Smart Materials and …, 2017 - iopscience.iop.org
This paper presents a novel large-area strain sensing technology for monitoring fatigue
cracks in steel bridges. The technology is based on a soft elastomeric capacitor (SEC) …

Structural engineering from an inverse problems perspective

A Gallet, S Rigby, TN Tallman… - … of the Royal …, 2022 - royalsocietypublishing.org
The field of structural engineering is vast, spanning areas from the design of new
infrastructure to the assessment of existing infrastructure. From the onset, traditional entry …

Optimal sensor placement within a hybrid dense sensor network using an adaptive genetic algorithm with learning gene pool

A Downey, C Hu, S Laflamme - Structural Health Monitoring, 2018 - journals.sagepub.com
This work develops optimal sensor placement within a hybrid dense sensor network used in
the construction of accurate strain maps for large-scale structural components. Realization of …

Experimental wind tunnel study of a smart sensing skin for condition evaluation of a wind turbine blade

A Downey, S Laflamme, F Ubertini - Smart Materials and …, 2017 - iopscience.iop.org
Condition evaluation of wind turbine blades is difficult due to their large size, complex
geometry and lack of economic and scalable sensing technologies capable of detecting …

Nonplanar sensing skins for structural health monitoring based on electrical resistance tomography

J Jauhiainen, M Pour‐Ghaz, T Valkonen… - … ‐Aided Civil and …, 2021 - Wiley Online Library
Electrical resistance tomography (ERT)‐based distributed surface sensing systems, or
sensing skins, offer alternative sensing techniques for structural health monitoring, providing …

Sensing distortion-induced fatigue cracks in steel bridges with capacitive skin sensor arrays

X Kong, J Li, W Collins, C Bennett… - Smart Materials and …, 2018 - iopscience.iop.org
Distortion-induced fatigue cracks represent the majority of fatigue cracks in steel bridges in
the United States. Currently, bridge owners, such as the state departments of transportation …

Algorithm for damage detection in wind turbine blades using a hybrid dense sensor network with feature level data fusion

A Downey, F Ubertini, S Laflamme - Journal of Wind Engineering and …, 2017 - Elsevier
Damage detection in wind turbine blades requires the ability to distinguish local faults over a
global area. The implementation of dense sensor networks provides a solution to this local …