Verification of Seismic Assessment Methods Using the Damaged Building Data of 2018 Hualien Earthquake

  • 葉 桐

Student thesis: Doctoral Thesis

Abstract

This essay has collected the data of thirteen buildings from 0206 Hualien earthquake in 2018 to investigate the possible factors for buildings being hit by earthquake Among the thirteen buildings the building drawings degree of damage from earthquake and the Peak Ground Acceleration (PGA) with all kinds of statistical data has been collected According to the investigation of the relationship between the partial data and the actual seismic damage level it has been found the higher risen the buildings and the greater the period of vibration the seismic damage level tends to be greater While the higher the column ratio the smaller seismic damage level to the buildings This essay carried out an evaluation on the much complete twelve buildings with three preliminary evaluation methods which include PSERCB and NCREE preliminary method for school and rapid method for street-house The results indicated these three preliminary evaluation methods may screen out the buildings that remain doubtful on seismic capacity The evaluation results from the three preliminary evaluation methods are similar and there were only the rapid evaluation results on street-house of the two buildings were different from the other two evaluation The results of PSERCB and NCREE preliminary method for school These only two buildings have been carried out a detail evaluation and it indicated the performance ground surface acceleration of two bulidings did not meet the requirements The investigation for results of the preliminary evaluation and detailed evaluation it indicated the evaluation result of the PSERCB and the school buildings are much closer but if contrast to actual seismic damage level on the buildings they are relatively conservative As to the rapid method result of the street-house though it appeared less conservative nevertheless it is more consistent with the actual seismic damage level of the buildings
Date of Award2019
Original languageEnglish
SupervisorYi-Hsuan Tu (Supervisor)

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