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Selection of Construction Project Taking into Account Technological and Organizational Risk

100%
Ibadov N.
Acta Physica Polonica A
|
2017
|
vol. 132
|
issue 3
974-977
EN
During the implementation of construction projects, there is permanently a certain level of technological and organizational risk. This is due to the fact that the data on conditions for a construction project tend to have different levels of uncertainty. Even the projects of the same size and terms of implementation vary. The failure risk of individual works results from technological and organizational factors, such as, for example, the difficulty of technological execution of individual works; availability of construction materials; the difficulty of the organization of individual works; availability of qualified personnel, availability of necessary machinery and equipment in the technology, etc. These factors affect the time and the cost of construction projects. When taking into account their influence, while selecting an option for construction project, it is crucial to maintain the contractual cost and time. An example of the option selection for construction project implementation is presented in this article, including technological and organizational risk, using the fuzzy sets theory and linguistic variables.
2
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Cross-Drainage Culvert Design by Using GIS

51%
Günal M., Ay M., Günal A.
Acta Physica Polonica A
|
2017
|
vol. 132
|
issue 3
595-598
EN
A culvert is a structure that allows water to flow under a road, railroad, trail, or similar obstruction, from one side to the other side. Typically embedded, so as to be surrounded by soil, a culvert may be made from a pipe, reinforced concrete or other material. In order to minimize the impact of a water crossing on the environment, culverts require the proper size, design and installation, to ensure that they do not cause downstream erosion, upstream flood, alter stream habitat or block organism passage. In this study, the size of a box culvert has been determined by getting more realistic maximum flow rates, by using data of a geographic information system. The results of this study have been compared with the rational method. The size of the culvert, which is calculated by using data from geographic information system will be more realistic and efficient, compared to the culvert, calculated by rational method.
3
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Multi-Output Neural Networks for Estimation of Synthetic Unit Hydrograph Parameters: A Case Study of a Catchment in Turkey

51%
Güven A., Günal A., Günal M.
Acta Physica Polonica A
|
2017
|
vol. 132
|
issue 3
591-594
EN
For developing unit hydrographs of catchments, the detailed information about the rainfall and the resulting flood hydrographs are needed. Such information, however, is available only for a few locations and for the remote locations such information is normally very scanty. In this study, Snyder based synthetic unit hydrographs were developed by using both, the digitized map and the digital elevation model of a case study of a small catchment in Turkey. Multi-output neural network technique was applied to predict three unit hydrograph parameters: peak discharge q_{p}, time to peak t_{p} and time base t_{b} of a number of unit hydrographs observed in the catchment, based on most relevant geomorphological and meteorological parameters. Multi-output neural network was observed to outperform the conventional synthetic unit hydrograph methods. The advantage of the proposed multi-output neural network is based on the fact that it predicts the three parameters of the unit hydrograph, based on a single model, compared to the conventional neural network technique, which utilizes a model for each parameter.
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