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GEOTECHNICAL RISK ASSESSMENT VIA EXPERT POLLING METHOD ON THE STAGE OF CONSTRUCTION WORKS

Assoc. prof. Dmitry Chunuyk, Marat Magomedov

First published: 2017-06-20https://doi.org/10.5593/sgem2017/12/s02.050View metrics

Abstract

Stage of construction works is responsible for the most part of risks, emerging during construction project. Violation of technologies of construction works, unsatisfactory quality of construction materials leads to additional costs of an amount equal to the cost of alteration of works. Each violation on the construction site on itself leads to insignificant damage, however, their frequency and complication at further stages entails a much larger aggregate damage. ThatпїЅs why qualified construction management personnel plays a key role in ensuring the reliability of the structure. Efficiency of construction management personnel can be significantly enhanced by implementation of well-designed system for identification, analysis and elimination of technological risks and their factors on the site. Expert polling method implies collection of information about risks by using personal experience of people, professionally involved in related field. This method is used in cases, where there is a high degree of uncertainty and lack of statistical data. Implementation of this method is justified, as construction works are tied with high level of uncertainty and information about risk occurrence often does not reach official statistical records.

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Publication details

Title
GEOTECHNICAL RISK ASSESSMENT VIA EXPERT POLLING METHOD ON THE STAGE OF CONSTRUCTION WORKS
Authors
Assoc. prof. Dmitry Chunuyk, Marat Magomedov
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Science and Technologies in Geology, Exploration and Mining
Publisher
STEF92 Technology
Year
2017
Pages
389-394
SWS Citekey
Chunuyk20172389394
ISSN
1314-2704
ISBN
978-619-7105-99-5
Language
en
Publication type
Conference Paper
Keywords
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