[HTML][HTML] A review of piezoelectric material-based structural control and health monitoring techniques for engineering structures: Challenges and opportunities

A Aabid, B Parveez, MA Raheman, YE Ibrahim… - Actuators, 2021 - mdpi.com
With the breadth of applications and analysis performed over the last few decades, it would
not be an exaggeration to call piezoelectric materials “the top of the crop” of smart materials …

MEMS technology and applications in geotechnical monitoring: a review

M Barzegar, S Blanks, BA Sainsbury… - Measurement Science …, 2022 - iopscience.iop.org
In-situ monitoring is an important aspect of geotechnical projects to ensure safety and
optimise design measures. However, existing conventional monitoring instruments are …

A robust-based configuration design method of piezoelectric materials for mechanical load identification considering structural vibration suppression

Y Liu, L Wang - Computer Methods in Applied Mechanics and …, 2023 - Elsevier
Piezoelectric materials have received considerable attention to structural vibration
suppression and health monitoring by virtue of their transform ability between electric energy …

[HTML][HTML] Cracking diagnosis in fiber-reinforced concrete with synthetic fibers using piezoelectric transducers

ME Voutetaki, MC Naoum, NA Papadopoulos… - Fibers, 2022 - mdpi.com
The addition of short fibers in concrete mass offers a composite material with advanced
properties, and fiber-reinforced concrete (FRC) is a promising alternative in civil engineering …

A deep learning approach for electromechanical impedance based concrete structural damage quantification using two-dimensional convolutional neural network

D Ai, J Cheng - Mechanical Systems and Signal Processing, 2023 - Elsevier
Deep learning approach using convolutional neural networks (CNNs) has ushered in
numerous breakthroughs in image-based recognition field, but the electromechanical …

Deep learning of electromechanical impedance for concrete structural damage identification using 1-D convolutional neural networks

D Ai, F Mo, J Cheng, L Du - Construction and Building Materials, 2023 - Elsevier
Common damages in concrete materials and structures are usually in small sizes at initial
stage, which induce small stiffness and mass loss being difficult to evaluate severity level …

[HTML][HTML] Efficacy and damage diagnosis of reinforced concrete columns and joints strengthened with FRP ropes using piezoelectric transducers

CG Karayannis, E Golias, MC Naoum, CE Chalioris - Sensors, 2022 - mdpi.com
Recent research has indicated that the implantation of a network of piezoelectric transducer
patches in element regions of potential damage development, such as the beam–column …

[HTML][HTML] 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 …

[HTML][HTML] 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 …

[HTML][HTML] Smart cementitious sensors with nano-, micro-, and hybrid-modified reinforcement: mechanical and electrical properties

AK Thomoglou, MG Falara, FI Gkountakou, A Elenas… - Sensors, 2023 - mdpi.com
The current paper presents the results of an experimental study of carbon nano-, micro-, and
hybrid-modified cementitious mortar to evaluate mechanical performance, energy …