Embedded sensors for structural health monitoring: Methodologies and applications review

PM Ferreira, MA Machado, MS Carvalho, C Vidal - Sensors, 2022 - mdpi.com
Sensing Technology (ST) plays a key role in Structural Health-Monitoring (SHM) systems.
ST focuses on developing sensors, sensory systems, or smart materials that monitor a wide …

Monitoring of transport infrastructure exposed to multiple hazards: A roadmap for building resilience

DV Achillopoulou, SA Mitoulis, SA Argyroudis… - Science of the total …, 2020 - Elsevier
Monitoring-enhanced resilience in transport management is emerging together with the new
technologies and digital data, however have not been fully explored yet. Digital technologies …

Cyclic crack monitoring of a reinforced concrete column under simulated pseudo-dynamic loading using piezoceramic-based smart aggregates

Q Kong, RH Robert, P Silva, YL Mo - Applied sciences, 2016 - mdpi.com
Structural health monitoring is an important aspect of maintenance for bridge columns in
areas of high seismic activity. In this project, recently developed piezoceramic-based …

Flexural damage diagnosis in reinforced concrete beams using a wireless admittance monitoring system—Tests and finite element analysis

CE Chalioris, VK Kytinou, ME Voutetaki… - Sensors, 2021 - mdpi.com
The utilization and effectiveness of a custom-made, portable and low-cost structural health
monitoring (SHM) system that implements the PZT-based electro-mechanical admittance …

Cracking and fiber debonding identification of concrete deep beams reinforced with C-FRP ropes against shear using a real-time monitoring system

NA Papadopoulos, MC Naoum, GM Sapidis… - Polymers, 2023 - mdpi.com
Traditional methods for estimating structural deterioration are generally costly and inefficient.
Recent studies have demonstrated that implementing a network of piezoelectric transducers …

Automated identification of compressive stress and damage in concrete specimen using convolutional neural network learned electromechanical admittance

D Ai, F Mo, Y Han, J Wen - Engineering Structures, 2022 - Elsevier
For the first time, this paper proposed a simple two-dimensional convolutional neural
network (2-D CNN) integrated with electromechanical admittance (EMA, inverse of …

Real-time quantification of fresh and hardened mechanical property for 3D printing material by intellectualization with piezoelectric transducers

G Ma, Y Li, L Wang, J Zhang, Z Li - Construction and Building Materials, 2020 - Elsevier
This study is a pilot exploration to develop rigorous, green, intellectualized approach for
optimal controlling the 3D concrete printing. The mechanical performances of 3D printed …

Intelligent monitoring and assessment on early-age hydration and setting of cement mortar through an EMI-integrated neural network

Q Yan, X Liao, C Zhang, Y Zhang, S Luo, D Zhang - Measurement, 2022 - Elsevier
In this study, the authors presented a smart sensing method for monitoring and evaluating
the early-age hydration and hardening process of cement mortar through the integration of …

Deep learning of electromechanical admittance data augmented by generative adversarial networks for flexural performance evaluation of RC beam structure

D Ai, R Zhang - Engineering Structures, 2023 - Elsevier
Deep learning networks facilitate automated damage identification and performance
evaluation for concrete structures using electromechanical impedance/admittance …

Percolation network and piezoresistive properties of ultraductile cementitious monitoring coating with A-POSS modified carbon-based nanoconductors

H Fu, P Wang, B Pang, W Dong, L Li, Z Jin, P Liu… - Cement and Concrete …, 2024 - Elsevier
Conventional cement-based sensors are large and often embedded in cast-in-place
concrete structures, resulting in poor flexibility, low sensing accuracy, and inability to be …