Akademik Veri Yönetim Sistemi
Intelligent and Fuzzy Systems 2022, İstanbul, Türkiye, 19 Temmuz 2022, sa.75, ss.1-7
Although
dam failures are not very common in the course of engineering history, they can
be catastrophic disasters causing many life losses, so they need to be
investigated. Dam failures are difficult problems to analyze due to the
complexity of the associated parameters which can be very hard to determine.
With this motivation, in this study, grey relational analysis (GRA) was used to
rank the danger levels of Turkey's aging 15 dams in case of a possible
collapse. The failure mode of each dam was assumed to be a sudden collapse,
thus breach development is not considered. This type of failure mode
is more commonly observed during major earthquakes. The dams chosen
for this study have been selected from the engineering point of view as they
have the highest hazard potential in case of failure across the country.
Accordingly, the important involved attributes of the model were determined as
follows: surrounding population, distance from that population, elevation
relative to that population, and reservoir size. The weights of these involved attributes
were preferred as 0.40, 0.30, 0.10, and 0.20, respectively. In conjunction with
the literature on the subject, the distinguished
coefficient was selected as 0.5. The risk
assessment based on the GRA results is performed for Turkey's 15
dams involved in the study. The output of this study will contribute to the
disaster and risk management policies of Turkey's dams and will have similar
applications worldwide