Cost assessment of construction projects through neural networks

Gulcicek, Umit
Ozkan, Omer
Gunduz, Murat
Construction performance parameters have experienced greater international attention and discussion in recent years. In this study, the change in the load-bearing system cost of a reinforced concrete housing estate building was investigated in relation to the building importance factor, earthquake region, soil type, floor area, and the number of stories. Three different housing estate projects with seven and fifteen stories were investigated. The structural design calculations were performed according to four different soil types, four different earthquake regions, and four different importance factors. With regards to each combination, project costs were calculated. The changes in the cost were examined with artificial neural network and multiple regression models. According to the results of the analysis, the building importance factor was the most significant component, while earthquake region was the second most significant, followed by the factors of the number of floors and the soil type.


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Sönmez, Rifat (Canadian Science Publishing, 2008-11-01)
This study presents a visualization system based on a geographic information system (GIS) for planning and monitoring the progress of construction projects that are repetitive due to their geometrical layout. A prototype system was developed and applied to an actual pipeline project to demonstrate the advantages of the proposed approach. The primary advantage of the system is improved visualization of geographical conditions and their impact on the progress rate. Enhanced visual representation of the schedu...
Cost-benefit analysis for various rehabilitation strategies
Çetinceli, Serkan; Yakut, Ahmet; Department of Civil Engineering (2005)
Over the last decade, six major earthquakes that occurred in Turkey dramatically demonstrated the poor performance of the buildings that were designed and constructed far from Turkish seismic code̕s requirements. The Marmara region, where most of the population and industry is located, is in the active seismic zone. With the rising cost of damages due to earthquakes, the necessity of the cost-benefit analysis for various rehabilitation strategies used in existing buildings has become a major concern for the...
Risk assessment of international construction projects using the analytic network process
Bu-Qammaz, Amani Suliman; Dikmen Toker, İrem; Birgönül, Mustafa Talat (Canadian Science Publishing, 2009-07-01)
In this study, an analytic network process (ANP), which can handle the interrelations between risk related factors, is proposed as a reliable technique for measuring the level of risk associated with international construction projects. Within this context, ANP is used to derive the relative priorities of risk factors as an input to a decision support tool, which can be utilized during bidding decisions. The decision support tool may help a decision maker to estimate the level of risk so that alternative pr...
Analytical formulation of maximum length limits of integral bridges on cohesive soils
Dicleli, Murat (Canadian Science Publishing, 2005-08-01)
This paper presents an analytical approach for predicting the length limits of integral bridges built on cohesive soils based on the flexural strength of the abutments and the low cycle fatigue performance of the steel H-piles at the abutments under cyclic thermal loading. First, H-piles that can accommodate large inelastic deformations are determined considering their local buckling instability. Then, a damage model is used to determine the maximum cyclic deformations that such piles can sustain. Next, non...
Cost estimation of trackworks of light rail and metro projects
Öztürk, Erhan; Gündüz, Murat; Department of Civil Engineering (2009)
The main objective of this work is to develop models using multivariable regression and artificial neural network approaches for cost estimation of the construction costs of trackworks of light rail transit and metro projects at the early stages of the construction process in Turkey. These two approaches were applied to a data set of 16 projects by using seventeen parameters available at the early design phase. According to the results of each method, regression analysis estimated the cost of testing sample...
Citation Formats
U. Gulcicek, O. Ozkan, M. Gunduz, and İ. H. DEMİR, “Cost assessment of construction projects through neural networks,” CANADIAN JOURNAL OF CIVIL ENGINEERING, pp. 574–579, 2013, Accessed: 00, 2020. [Online]. Available: