Energy-Based Seismic Response Assessment of Simple Structural Systems by Considering Turkish Strong Ground Motion Dataset

Date

2024-9-06

Author

Damirzade, Toghrul

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In earthquake engineering, seismic design and analysis of structures can be established in terms of force, displacement or energy. Among these parameters, energy is the most enhanced and stable one which makes it a good candidate for the seismic response assessment of structural systems. Therefore, in this study, seismic response characteristics of single degree of freedom systems are evaluated in terms of energy parameters. For this purpose, records from the Turkish strong ground motion dataset have been utilized, including also the extraordinary records from the 2023 Kahramanmaras earthquake sequence. In the first stage, elastic energy term, i.e. input energy is examined. The empirical equations in the literature to predict elastic input energy are discussed which is followed by the assessment of the past studies that propose design input energy spectrum. The second stage focuses on the inelastic energy terms, i.e. inelastic input energy and hysteretic energy. In this stage, spectral variations of both the inelastic-to-elastic input energy ratio and hysteretic to-inelastic input energy ratio are obtained by using the Turkish ground motion dataset for constant strength ratio and reduction factor. Overall, the results of the thesis study reveal that energy based parameters can be used both for the design and assessment of structural systems and although there is an extensive research background regarding energy-based earthquake engineering, there still exists some issues for further investigation, especially in the case of seismic energy response under extremely high seismic demands.

Subject Keywords

Energy-based Earthquake Engineering, Ground Motion Intensity Measures, Elastic Input Energy, Design Input Energy Spectrum, Inelastic Input Energy, Hysteretic Energy

URI

https://hdl.handle.net/11511/111559

Collections

Graduate School of Natural and Applied Sciences, Thesis