Assessment of Building Damage using Hazard Identification and Risk Assessment Methods for School Buildings in Jember District

  • Sih Liberti Departemen of Civil Engineering of Jember University, Jl.Kalimantan 37, Jember 68121, Indonesia
  • Anik Ratnaningsih Departemen of Civil Engineering of Jember University, Jl.Kalimantan 37, Jember 68121, Indonesia
  • Ketut Aswatama Departemen of Civil Engineering of Jember University, Jl.Kalimantan 37, Jember 68121, Indonesia
Keywords: Damage assessment, HIRA, Risk analysis

Abstract

The damage of school buildings is a serious safety problem in Indonesia,in wich more than 60% of primary school buildings in Indonesia show severe damage which endangers the people inside. The purpose of this study is to analyze the risk of damage building components, using risk assessment methods (Hazard Identification and Risk Assessment). The results of HIRA analysis show that there were 6 units with light damaged, 15 units with severe damage and 17 units with damage. Therefore, it is known that the high risk was due to building collapse. Meanwhile the response to the medium risk is repairing the existing damage. If the damage become the high level of risk and cause casualties, it must be handled with the rehabilitation,. Routine maintenance is performed on a primary case with minor damage to the primary school. A maintenance case is performed by a minor case on a primary school that can be reduced or even eliminated. If countermeasures are done and on target, it is expected that the existing risk can be reduced or even eliminated.

References

S. Al-anbari, A. Khalina, A. Alnuaimi, A. Normariah, and A. Yahya, “Risk assessment of safety and health ( RASH ) for,” Process Saf. Environ. Prot., vol. 94, pp. 149–158, 2015.

G. Carter and S. D. Smith, “Safety Hazard Identification on Construction Projects,” vol. 132, no. 2, pp. 197–205, 2006.

S. Hope and E. N. Bjordal, “Methodologies for Hazard Analysis and Risk Assessment in the Petroleum Refining and Storage Indus try -- Part I,” vol. 20, no. 3, pp. 23–38, 1984.

K. R. G. Obinath and A. V. B. Alan, “Hazard Identification and Risk Assessment in Foundry,” vol. 03, no. 07, pp. 1266–1269, 2014.

S. Sachan and C. Zhou, “Probabilistic dynamic programming algorithm : a solution for optimal maintenance policy for power cables,” Life Cycle Reliab. Saf. Eng., no. 2016, 2019.

A. Saeidi, O. Deck, and T. Verdel, “Comparison of Building Damage Assessment Methods for Risk Analysis in Mining Subsidence Regions,” pp. 1073–1088, 2013.

M. Saini and A. Kumar, “Ratio estimators using stratified random sampling and stratified ranked set sampling,” Life Cycle Reliab. Saf. Eng., no. 0123456789, 2018.

M. Sayed, B. Ahmed, A. El-karim, O. Aly, M. El, and A. M. Abdel-alim, “Identification and assessment of risk factors affecting construction projects,” Hous. Build. Natl. Res. Cent., 2015.

M. Shahrouzi, “Damage detection of truss structures by hybrid immune system and teaching – learning-based optimization,” Asian J. Civ. Eng., vol. 9, 2018.

M. Tranter, Occupational Hygiene and Risk Management, 2nd ed., vol. 2. Sydney: Southwood Press, 2004.

F. L. Wang, “Rethinking Sustainable Development : Urban Management ,” no. June, 2010.

Published
2019-11-26
Section
Articles