İnşaat Mühendisliği Bölümü Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.11779/1943

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    Citation - WoS: 2
    Citation - Scopus: 2
    Assessment of the Disaster Recovery Progress Through Mathematical Modelling
    (TMMOB İnşaat Mühendisleri Odası, 2020) Dikmen, Seyyit Ümit; Sönmez, Murat; Akbıyıklı, Rıfat
    Natural disasters, especially major earthquakes, cause widespread devastation in the built environment. Hence, the major component of the recovery in its aftermath constitutes a chain of projects starting at different times, having different costs and durations. In this study, the post disaster recovery curve modelled through a mathematical approach taking into account these properties of the projects. The approach followed is based on the project S-curve concept that provides the opportunity to simulate the progress by outlining the project spending. Well-known mathematical functions are adapted to model the project spending and the handover processes. Monte Carlo simulation is performed to evaluate the general behavior of the recovery curve using the model developed. Weibull distribution is used to generate the model’s parameters. Results of the Monte Carlo simulation demonstrate that the recovery process exhibits an S-shape, the duration of initial portion and the slope of the bulk portion being significantly governed by the level of preparedness of the community.
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    Citation - WoS: 3
    Citation - Scopus: 4
    Time - Cost Relationships for Superstructure Projects in Turkey
    (TMMOB İnşaat Mühendisleri Odası, 2020) Dikmen, Seyyit Ümit; Akbıyıklı, Rıfat; Sönmez, Murat
    The concept of time-cost relationship in construction projects was first introduced by Bromilow. Bromilow used the data of the superstructure projects completed in Australia in the creation of the proposed time-cost model (BTC model). The aim of this study is to determine the time-cost relationship of superstructure projects in Turkey. Time and cost data of superstructure projects completed between the years of 1999-2018 was used in the study. Data was grouped primarily on the basis of the intended use of buildings (individual buildings, educational buildings, hospitals, industrial buildings and social housing), and then time-cost relationships were separately determined for each group. In addition, the effects of the parameters such as exchange rates and the number of non-working days on the time-cost relationship were investigated statistically.