In engineering domains, modal analysis is a field that is studied extensively with the goal of better characterizingcomponents or structures. Themodal analysis produces modal parameters, which are essential properties of a system that can be employed for damage identification, vibration analysis, and structural health monitoring. Plated element’s relevance in variousapplications makes it an intriguing vibration study subject. In thisresearch, modal analysis was performed on a square steel plate in free ends condition. This work aimedto provide a complete anatomical description of this complex boundary condition and its implications on modal parameters. Before comparing modal parameters with experimental data, a primary modal analysis was performed using finite element (FE)method. Then experimental analysis was conducted under the operational modal analysis setup (OMA).As the results, six natural frequencies are retrieved and compared amongst the two methods, recording the maximum of 6% percentage difference from the readings. This implied a close values estimated between the methods used. For mode shapes, ninemodes are identified from FE method and discussed according to established free plate vibration studies, while threesimilarly identified modes successfully recognized by using OMA.
This research is conducting a modal analysis on integrated spiral steel pipe as a bridge pier connected by shear panel in intact state only. This study also aims to serve as an advancement to the fundamental of Bridge Health Monitoring (BHM) techniques through vibration-based monitoring technique. Vibration information of a structure which can be obtained from the modal analysis is one of the significant information that can be used to define a structure's well-being, specifically through stiffness change. Structural condition needs to be continuously assessed to ensure that it is safe for the public, to ensure early damage detection is viable and to avoid additional repair cost. The author modelled the integrated spiral steel pipe bridge pier through finite element method (FEM) by using Abaqus CAE software. The output which are natural frequencies and mode shapes, was analysed and interpreted to conclude for the structure intact state modal parameters for research purpose. The ten natural frequencies from the simplified model obtained using Abaqus CAE are 12.645 Hz, 12.650 Hz, 12.654 Hz, 13.339 Hz, 13.826 Hz, 14.282 Hz, Hz, 14.285 Hz, 15.350 Hz, 20.524 Hz and 20.817 Hz. The mode shapes took on the bending, torsion, and m=1, n=2 mode types.
Structural Health Monitoring (SHM) implementations on infrastructures, including bridges, are currently experiencing a surge in popularity as the favoured solution for preserving structural health. Additionally, the availability of a diverse array of SHM systems is a direct response to the increasing range of structures, the necessity to target specific damage mechanisms, the various monitoring objectives, the utilization of different sensor technologies, and the practical aspects of implementation. Hence, the research domain is challenged with the excessive state of subareas and integrations of techniques used which induced the need to organize the known knowledge about SHM practicalities, focusing on steel superstructure bridges and bridges with steel as main component. In order to gain a comprehensive understanding of this field and provide researchers with a clear perspective on SHM, it is essential to familiarize ourselves with the techniques that have been employed. To that aim, a thorough search was undertaken to locate publications dealing with terms such as ''structural health monitoring," ''vibration-based SHM," and ''steel bridge/bridges". Scopus databases were checked for articles on vibration-based structural health monitoring for steel bridges and PRISMA procedure was conducted to apply systematic review process. The result highlights the profile of the publication trends under the topic throughout the year and the research phenomenon based on country of origin. Then, the result also reviews the studied steel bridge type to explore the propensity of vibration-based practicality based on structural configuration. Then, the heart of this paper, which is the third part reviews the methods that has been investigated by past researcher in the work of bridge vibration characterisation for SHM. The future of vibration-based methods is potentially tremendous as structure characterisation solution as it provides the state-of-the-art data-driven measures towards damage detection. However, the raise of SHM robustness has simultaneously raised the room for advancement towards achieving precise quantification and interpretation from vibration-based techniques. The room for advancements raised in this study has proven our one step forward to provide future studies of ways it can expand the vibration-based frontiers.
Smooth plant production is utmost expected by plant owners since any unplanned shutdown is very much undesirable as it may incur loss of company’s profits and other repercussions. Critical operational assets such as rotating machineries and their components, e.g., motor, pump, compressor, and turbines are crucial to be monitored in ensuring continuous operation of the plant. Therefore, vibration being one of the elements in predictive maintenance is much needed. This paper addressesthe monitoring and findings for predictive maintenance on high vibration of a make-up gas compressor in one of the oil & gas and petrochemical plant in Malaysia. The conventional vibration measurement using vibration analyzer was utilized to identify the severity of the machine vibrations through the overall vibration value obtained on the motor and compressor. A specialized vibration measurement technique, namely, Operational Modal Analysis (OMA) was further deployed to verify the presence of resonance on the equipment by obtaining its dynamic characteristics, i.e., natural frequency and mode shape. The findings showed clear indication of resonance occurrence as similar frequency (112 Hz) was identified from both vibration measurement and operational modal analysis.
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