رکورد قبلیرکورد بعدی

" Productivity analysis of microtunneling pipe installation using simulation "


Document Type : Latin Dissertation
Language of Document : English
Record Number : 52499
Doc. No : TL22453
Call number : ‭1432204‬
Main Entry : Yu Luo
Title & Author : Productivity analysis of microtunneling pipe installation using simulation\ Yu Luo
College : Michigan State University
Date : 2005
Degree : M.S.
student score : 2005
Page No : 210-210 p.
Abstract : Microtunneling is a construction method in the family of trenchless technology, which is used to install underground utilities with minimum impacts on ground surface. Microtunneling is a complex operation that requires the integration of several systems, a variety of supporting equipments and experienced personnel, and is heavily influenced by subsurface conditions. The use of this technology is increasing as the underground infrastructures become more complicated and denser. As a result, the need to better understand the operations involved becomes crucial to improve planning, cost estimating, resource selection, and productivity. Simulation can be used to study microtunneling operations before they are actually performed, thereby identifying problems at the different stages of the project. Simulation can be used to aid in the decision-making process to control costs and shorten project duration. The objective of this research is to analyze and to evaluate the factors that affect the productivity in microtunneling operations. For this purpose, an actual microtunneling project was selected. Based on the data collected from the project, this research developed a CYCLic Operations NEtwork (CYCLONE) model with highlight on the impact of variations in soil compositions on the productivity of the operation. Simulations were repetitively conducted with different soil compositions. The results were used in a regression analysis to find a function of productivity and soil compositions. Various combinations of resource utilization were also simulated with the model to optimize the productivity.
Subject : Applied sciences; Civil engineering; 0543:Civil engineering
Added Entry : M. Najafi
Added Entry : Michigan State University
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1432204_8656.pdf
1432204.pdf
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