Evaluation of seismic damage of tall buildings from acceleration response time histories by a modal decomposition approach | |
| Author | Chananwath Sinthumongkhonchai |
| Call Number | AIT Thesis no.ST-20-20 |
| Subject(s) | Structural health monitoring Tall buildings--Earthquake effects Acceleration (Mechanics)--Measurement |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Structural Engineering, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. ST-20-20 |
| Abstract | Under seismic events, there are some buildings having acceleration records measured. Some guidelines expected that these acceleration records shall be utilized for engineers to understand the dynamic behavior of those buildings under such seismic events in order for the improvement of the future design of related buildings, and the guidelines even expected that these acceleration records shall be utilized for rapid seismic damage assessment of those buildings. However, there was no explicit and well-known accepted way available that these acceleration records can possibly be utilized for seismic damage evaluation. There were studies from many researchers reporting on the effectiveness of how seismic demands of tall building can be predicted based on the concept of mode of vibration of tall buildings; contribution from each mode was firstly calculated and then summation of those contributions become estimated seismic responses. It was shown in those studies that even though the responses were actually beyond the elastic range of tall buildings where the concept of mode of vibration is theoretically invalid, the combined responses of those separately calculated contributions were shown to be reasonable estimates of complex seismic demands calculated by Nonlinear Response History Analysis procedure (NLRHA). Therefore, in this study, the seismic damage evaluation scheme of tall buildings from acceleration response time histories by a modal decomposition approach is proposed. Applying the very same concept used in those studies, the proposed scheme is developed and its effectiveness on how it is used to estimate various types of seismic demands once the only known information under seismic events are measured acceleration records is to be identified in this study. Since the formulation of the scheme is firstly developed here in this study, the finite element commercial software, Perform3D, which can perform NLRHA under selected ground motions are employed to generate acceleration time-histories of a nonlinear numerical model under those selected ground motions. Then the proposed scheme shall be applied to estimate seismic responses of that numerical model. This was done to minimize the error that will happen in practice due to field measurement and another required additional process called model updating, so that the inherent error due to the proposed scheme itself (if any) can be realized and emphasized in this study. The results of the study were found that some response types of seismic demands such as floor displacements and inter-story drifts of the numerical model under selected ground motions utilizing this proposed scheme were, in general, reasonably estimated. However, because of the inherent error of the proposed scheme found in this study, other response types of seismic demands were found to be fairly overestimated. |
| Year | 2020 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. ST-20-20 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Civil and Infrastucture Engineering (DCIE) |
| Academic Program/FoS | Structural Engineering (STE) /Former Name = Structural Engineering and Construction (ST) |
| Chairperson(s) | Pennung Warnitchai; |
| Examination Committee(s) | Punchet Thammarak;Thanakorn Pheeraphan; |
| Scholarship Donor(s) | His Majesty the King's Scholarships (Thailand); |
| Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2020 |