Developing Software Using the FEMA-154 Rapid Assessment Method


Dalıeh D. H., Yalçıner H., Kumbasaroğlu A.

2th International Congress on Engineering and Sciences, İstanbul, Turkey, 16 - 17 December 2023, vol.56, no.52866, pp.145-155

  • Publication Type: Conference Paper / Full Text
  • Volume: 56
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.145-155
  • Erzincan Binali Yildirim University Affiliated: Yes

Abstract

Turkey is situated within the Alpine-Himalayan seismic belt, which stretches from the Azores to Southeast Asia, making it the second most earthquake-prone region in the world. Upon reviewing the earthquake hazard map of Turkey, it becomes evident that approximately one-third of the entire population resides in seismic zones. Between the years 1900 and 2012, Turkey experienced 225 major earthquakes. In these earthquakes, official records indicate that 566 thousand buildings were either destroyed or suffered severe damage, resulting in the loss of 86 thousand lives. In the earthquakes during this period, including the 1939 Erzincan earthquake, one of the world's most significant earthquakes in terms of both loss of life and severely damaged buildings, approximately 117 thousand buildings suffered severe damage, and 33 thousand people lost their lives. Knowing whether buildings will collapse in the event of a possible earthquake allows us to prevent the significant loss of life and property that past destructive earthquakes have caused. Such research is possible in terms of time and cost through the use of rapid assessment methods. In this study, we have chosen and investigated three widely utilized methods for the rapid assessment of seismic performance, which are commonly employed in many countries. This visual inspection involves gathering fundamental characteristics of a building, such as building type, number of floors, presence of soft and weak stories, short columns, vertical and plan irregularities, construction year, building location, ground type, seismic zone, visual quality of the building, and other relevant features. In this study we proposed an application that we could assessing any building within 5 minutes.