Seismic assessment of bridges through structural health monitoring: a state-of-the-art review
C Karakostas, G Quaranta, E Chatzi, AC Zülfikar… - Bulletin of Earthquake …, 2024 - Springer
The present work offers a comprehensive overview of methods related to condition
assessment of bridges through Structural Health Monitoring (SHM) procedures, with a …
assessment of bridges through Structural Health Monitoring (SHM) procedures, with a …
Nonlinear simulation of vertical behavior of railway fastening system
Rail fastening system plays an important role in safety of railway tracks. Despite proven
nonlinear mechanical behavior of this system, it has been simulated as a linear spring …
nonlinear mechanical behavior of this system, it has been simulated as a linear spring …
Vibration sensing of a bridge model using a multithread active vision system
This study proposes a concept for multithread active vision sensing that can measure
dynamically changing displacement and vibration at multiple points on civil engineering …
dynamically changing displacement and vibration at multiple points on civil engineering …
Cascaded evolutionary algorithm for nonlinear system identification based on correlation functions and radial basis functions neural networks
HVH Ayala, L dos Santos Coelho - Mechanical Systems and Signal …, 2016 - Elsevier
The present work introduces a procedure for input selection and parameter estimation for
system identification based on Radial Basis Functions Neural Networks (RBFNNs) models …
system identification based on Radial Basis Functions Neural Networks (RBFNNs) models …
Physiological sensor signals classification for healthcare using sensor data fusion and case-based reasoning
Today, clinicians often do diagnosis and classification of diseases based on information
collected from several physiological sensor signals. However, sensor signal could easily be …
collected from several physiological sensor signals. However, sensor signal could easily be …
A data fusion framework with novel hybrid algorithm for multi-agent Decision Support System for Forest Fire
In this study Forest Fire Decision Support System (FOFDESS) which is a multi-agent
Decision Support System for Forest Fire has been presented. Depending on the existing …
Decision Support System for Forest Fire has been presented. Depending on the existing …
Machine learning models applied to a GNSS sensor network for automated bridge anomaly detection
Structural health monitoring (SHM) based on global navigation satellite systems (GNSS) is
an interesting solution to provide absolute positions at different locations of a structure in a …
an interesting solution to provide absolute positions at different locations of a structure in a …
Processing of signals produced by strain gauges in testing measurements of the bridges
B Kovačič, A Štrukelj, N Vatin - Procedia Engineering, 2015 - Elsevier
Practical example of signal processing from strain gauge, inductive transducer and total
station measurements are used to illustrate the features of the bridge load testing …
station measurements are used to illustrate the features of the bridge load testing …
Classification of physiological signals for wheel loader operators using multi-scale entropy analysis and case-based reasoning
Sensor signal fusion is becoming increasingly important in many areas including medical
diagnosis and classification. Today, clinicians/experts often do the diagnosis of stress …
diagnosis and classification. Today, clinicians/experts often do the diagnosis of stress …
Improving pulse eddy current and ultrasonic testing stress measurement accuracy using neural network data fusion
A Habibalahi, M Dashtbani Moghari… - IET Science …, 2015 - Wiley Online Library
Stress and residual stress are two crucial factors which play important roles in mechanical
performance of materials, including fatigue and creep, hence measuring them is highly in …
performance of materials, including fatigue and creep, hence measuring them is highly in …