Development and Validation of a LabVIEW Automated Software System for Displacement and Dynamic Modal Parameters Analysis Purposes

被引:1
作者
El Dahr, Reina [1 ]
Lignos, Xenofon [1 ]
Papavieros, Spyridon [1 ]
Vayas, Ioannis [1 ]
机构
[1] Natl Tech Univ Athens, Inst Steel Struct, Athens 15772, Greece
来源
MODELLING | 2023年 / 4卷 / 02期
关键词
structural health monitoring; damping; eigenfrequency; displacement; LabVIEW; ARTeMIS; SUSPENSION BRIDGE; RAILWAY BRIDGE; SEISMIC DESIGN; FIR FILTER; IDENTIFICATION; GPS; VIBRATION; ACCELERATION; TIME; FREQUENCY;
D O I
10.3390/modelling4020011
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The structural health monitoring (SHM) technique is a highly competent operative process dedicated to improving the resilience of an infrastructure by evaluating its system state. SHM is performed to identify any modification in the dynamic properties of an infrastructure by evaluating the acceleration, natural frequencies, and damping ratios. Apart from the vibrational measurements, SHM is employed to assess the displacement. Consequently, sensors are mounted on the investigated framework aiming to collect frequent readings at regularly spaced time intervals during and after being induced. In this study, a LabVIEW program was developed for vibrational monitoring and system evaluation. In a case study reported herein, it calculates the natural frequencies as well as the damping and displacement parameters of a cantilever steel beam after being subjected to excitation at its free end. For that purpose, a Bridge Diagnostic Inc. (BDI) accelerometer and a displacement transducer were parallelly mounted on the free end of the beam. The developed program was capable of detecting the eigenfrequencies, the damping properties, and the displacements from the acceleration data. The evaluated parameters were estimated with the ARTeMIS modal analysis software for comparison purposes. The reported response confirmed that the proposed system strongly conducted the desired performance as it successfully identified the system state and modal parameters.
引用
收藏
页码:189 / 210
页数:22
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