Artificial intelligence in structural health management of existing bridges
VM Di Mucci, A Cardellicchio, S Ruggieri… - Automation in …, 2024 - Elsevier
The paper presents a systematic review about the use of artificial intelligence (AI) in the field
of structural health management of existing bridges. Using the PRISMA protocol, 81 journal …
of structural health management of existing bridges. Using the PRISMA protocol, 81 journal …
Bridge Performance Prediction Based on a Novel SHM‐Data Assimilation Approach considering Cyclicity
Modern bridges are monitored by an increasing network of sensors that produce massive
data for bridge performance prediction. Reasonably and dynamically predicting with …
data for bridge performance prediction. Reasonably and dynamically predicting with …
Structural damage quantification in shear buildings using mode shape slope ratio
K Roy - Structural Health Monitoring, 2023 - journals.sagepub.com
Mode shape-based techniques are very popular among researchers since the last two
decades and varying levels of success have been achieved towards identifying damage …
decades and varying levels of success have been achieved towards identifying damage …
Machine learning approach for predicting impedance signatures of construction steel structures in various tensile pull actions
The detection of structural damage based on the electromechanical impedance technique is
proven to have a greater sensitivity to structures based on baseline impedance signature …
proven to have a greater sensitivity to structures based on baseline impedance signature …
Deep learning-based bridge damage identification approach inspired by internal force redistribution effects
K Yang, Y Ding, H Jiang, Y Zhang… - Structural Health …, 2024 - journals.sagepub.com
Damage identification has always been one of the core functions of bridge structural health
monitoring (SHM) systems. Damage identification techniques based on deep learning (DL) …
monitoring (SHM) systems. Damage identification techniques based on deep learning (DL) …
CCTV camera array for the displacement and strain measurement of a beam specimen in a laboratory
R Tuladhar, P Thammarak, S Elias - Buildings, 2022 - mdpi.com
The available conventional sensors, like displacement transducers, used in the Structural
Engineering Laboratory are expensive. In addition to that, the need for data acquisition …
Engineering Laboratory are expensive. In addition to that, the need for data acquisition …
[PDF][PDF] CCTV Camera Array for the Displacement and Strain Measurement of a Beam Specimen in a Laboratory. Buildings 2022, 12, 1778
R Tulandhar, P Thammarak, S Elias - 2022 - researchgate.net
The available conventional sensors, like displacement transducers, used in the Structural
Engineering Laboratory are expensive. In addition to that, the need for data acquisition …
Engineering Laboratory are expensive. In addition to that, the need for data acquisition …
[PDF][PDF] Full-Scale SHM of a Prestressed Concrete Bridge in Germany: Overview and Lessons Learned from a Long-Term Monitoring Campaign
FIH Sakiyama, G de Souza Veríssimo, FA Lehmann - abpe.org.br
The ability to track the structural condition of existing structures is one of the main concerns
of bridge owners and operators. The increasing demand for civil infrastructures, the aging of …
of bridge owners and operators. The increasing demand for civil infrastructures, the aging of …