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Showing Abstract of Using the portraitist method of MONT CARLO in constructing the tunnel

 
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Title

Using the portraitist method of MONT CARLO in constructing the tunnel

Topic: Management and Construction Technology Published Year: 2004
Presentation: Oral
Published in:

[ 6th Iranian Tunneling Conference ]

Original Language: Persian Full Text Size: Not Available

 

Abstract of the Article

 

Note: English CIVILICA is in its Trial Period so Full Texts can not be provided! Persian users can download it here

Download This article in PDF format Using the portraitist method of MONT CARLO in constructing the tunnel

 

Authors:
[ MAHMOOD AHMADI NEJAD ] - civil engineering college OF UNIVERSITY OF SINCE AND TECNOLOGY
[ SEYED ALI GHAZI TABRIZI ] - SAB COMPANY IN TEHRAN
[ ALI BABAYI ] - civil engineering college OF UNIVERSITY OF SINCE AND TECNOLOGY

 

Abstract:

In excavating the tunnel there are the non estimating condition many time that cause to the increasing the time of excavation and the expenses of the project, this is because of the many unknown parameters in this projects and natural of the rocks. Different methods in many times are provide for controlling of these non estimating condition that are considered of weight equipment and that dose important works in excavation for increasing the unknown condition. These methods and equipment decrease the unknown condition but the main problem is remaining. There are not known method for deleting these conditions and in fact for time limiting they are deleted the other methods. MONT CARLO Portraitist method is a famous method that are improved our estimating about the condition and help for decreasing the risks. Important limitation in development of this method is difficult accounting. Speed computers are delete this limiting and opened a new way for using this method. This paper explain the abilities of this method that this method are used for estimating the excavation time and of a tunnel in a appointed region based on the kind of the fault and the water condition. Results show the non estimating condition that help to the managers that get a better disitions.

 

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