Seismic vulnerability functional method for rapid visual screening of existing buildings

• Autorzy: Yadollahi M. , Adnan A. , Zin R. M.
• Języki publikacji: EN

Abstrakty

EN

Rapid Visual Screening (RVS) method for buildings was originally developed by the Applied Technology Council (ATC) in the late 1980’s for potential seismic hazards. This is a simple and almost a quick way of assessing the building seismic vulnerability score based on visual screening. The logarithmic relationship between final score and the probability of collapse at the maximum considered earthquake (MCE) makes results somewhat difficult to interpret, especially for less technical users. This study is developed to improve the simplicity and usefulness of RVS methodology to determine the numeric scores for seismic vulnerability of buildings using vulnerability functional form. The proposed approach applies the existing method in FEMA 154 (2002) for calculating the building rank based on RVS method. In this study RVS scores are used to evaluate populations of buildings to prioritize detailed evaluations and seismic retrofits. The alternate non-logarithmic format of scoring scheme is much better meeting the needs of the project managers and decision makers, as they require results that are easier to understand. It shows the linear equivalent of RVS final scores which is consistent with the existing ranking systems used in the buildings management program such as budget allocation decision making. The results demonstrate that the weight determined for the factor of “Region Seismicity”, which is 0.4033, has the highest contribution to seismic vulnerability scores of buildings. The applicability of the proposed method is demonstrated through a hypothetical example to rank ten seismically vulnerable buildings.

Słowa kluczowe

EN

risk reduction; seismic vulnerability; rapid visual screening; building

PL

redukcja ryzyka; wrażliwość sejsmiczna; budynek; obrazowanie szybkie

• Wydawca: Komitet Inżynierii Lądowej i Wodnej PAN ; Politechnika Warszawska, Wydział Inżynierii Lądowej
• Czasopismo: Archives of Civil Engineering
• Rocznik: 2012
• Tom: Vol. 58, nr 3
• Strony: 363--377
• Opis fizyczny: Bibliogr. 15 poz.

Twórcy

autor

Yadollahi M.

autor

Adnan A.

autor

Zin R. M.

• Universiti Teknologi Malaysia, Faculty of Civil Engineering, Department of Structure and Materials, Malaysia,

Bibliografia

• 1. FEMA 154, Edition 2. (March 2002). Rapid Visual Screening of Buildings for Potential Seismic Hazards, A Handbook, Applied Technology Council, Washington, DC.
• 2. R.B. Olshansky, Y. Wu, Evaluating Earthquake Safety in Mid-American Communities, Natural Hazards Review, 5(2), 71-81, 2004.
• 3. N.M. Wallace, T.H. Miller, Seismic Screening of Public Facilities in Oregon's Western Counties, Practice Periodical on Structural Design and Construction, 13(4), 189-197, 2008.
• 4. W.T. Holmes, Progress of Seismic Rehabilitation of Buildings in the U. S., Conference on Improving the Seismic Performance of Existing Buildings and Other Structures, San Francisco, California, 17-31, 2009.
• 5. T. Srikanth, R.P. Kumar, A.P. Singh, B.K. Rastogi, S. Kumar, Earthquake Vulnerability Assessment of Existing Buildings in Gandhidham and Adipur Cities Kachchh, Gujarat (India), European Journal of Scientific Research, 41(3), 336-353, 2010.
• 6. P. Kapetana, S. Dritsos, Seismic assessment of buildings by rapid visual screening procedures, 6th International Conference on Earthquake Resistant Engineering Structures, Bologna, Italy, 2007.
• 7. http://apps.isiknowledge.com.ezproxy.psz.utm.my/OneClickSearch.do?product=UA&search_mode=OneClickSearch&db_id=&SID=4F9pjdJbdo6DnIGmii7&field=AU&vaiue=Moseley%20VJ&ut=000249072500006&pos=l V.J. Moseley, S.E. Dritsos, D.L. Kolaksis, Pre-earthquake fuzzy logic and neural network based rapid visual screening of buildings, Structural Engineering and Mechanics, 27(1), 77-97, 2007.
• 8. Y. Wang, K.A. Goettel, Enhanced Rapid Visual Screening (E-RVS) Method for Prioritization of Seismic Retrofits in Oregon, State Geologist State of Oregon Department of Geology and Mineral Industries, Special Paper 39, Oregon Department of Geology and Mineral Industries, 2007.
• 9. A. Karbassi, M.J. Nollet, Development of an index assignment procedure compatible with the regional seismicity in the province of Quebec for the rapid visual screening of existing buildings, Canadian Journal of Civil Engineering, 35(9), 925-937, 2008.
• 10. K.J. Sudhir, M. Keya, M. Kumar, M. Shah, A Proposed Rapid Visual Screening Procedure for Seismic Evaluation of RC-Frame Buildings in India, Earthquake Spectra, 26, 709-729, 2010.
• 11. Z. Sen, Rapid visual earthquake hazard evaluation of existing buildings by fuzzy logic modelling. Expert Systems with Applications, 37, 5653-5660, 2010.
• 12. T.L. Saaty, Relative Measurement and its Generalization in Decision Making: Why Pairwise Comparisons are Central in Mathematics for the Measurement of Intangible Factors, The Analytic Hierarchy/Network Process. RACSAM (Review of the Royal Spanish Academy of Sciences, Series A, Mathematics), 102(2), 251-318, 2008-06.
• 13. FEMA 356 (Prestandard- 2000). Prestandard and Commentary for the Seismic Rehabilitation of Buildings, American Society of Civil Engineers (ACSE), Federal Emergency Management Agency, Washington, D.C., November 2000.
• 14. Applied Technology Council (ATC-1988). Rapid visual screening of buildings for potential seismic hazards: A handbook. Prepared for Federal Emergency Management Agency, Washington D.C.
• 15. NCHRP. Report 590, Multi-Objective Optimization for Bridge Management Systems, Transportation Research Board, National Cooperative Highway Research Program. March 2007.