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Probabilistic time estimation of tunneling projects: The Uri headrace tunnel
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Soil and Rock Mechanics.ORCID iD: 0000- 0003-4824-420X
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Soil and Rock Mechanics.ORCID iD: 0000-0001-5372-7519
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Soil and Rock Mechanics.ORCID iD: 0000-0001-5628-9673
(English)Manuscript (preprint) (Other academic)
Abstract [en]

Probabilistic time estimation is an essential part of proper riskmanagement in tunneling projects. In recent decades, several modelshave been developed for this purpose, one of which was developed byIsaksson and Stille (2005 Rock Mech Rock Eng 38:373-398). In thispaper, Isaksson and Stille’s probabilistic time and cost estimation modelwas improved and then applied to estimate the total tunneling time of theheadrace tunnel in the Uri hydropower project in India. Theimprovements allow the user to more accurately account for differenttypes of geological features and disruptive events. The result of theestimation is a distribution of tunneling time. The outcome illustrateshow a proper understanding of the geological setting of the project and itseffect on construction performance can contribute to effective riskmanagement.

Keywords [en]
Risk management, Probabilistic approaches, Tunneling, Time and cost estimation, Overrun
National Category
Geotechnical Engineering and Engineering Geology
Research subject
Civil and Architectural Engineering, Soil and Rock Mechanics
Identifiers
URN: urn:nbn:se:kth:diva-304243OAI: oai:DiVA.org:kth-304243DiVA, id: diva2:1606829
Note

QC 20211116

Available from: 2021-10-28 Created: 2021-10-28 Last updated: 2025-02-07Bibliographically approved
In thesis
1. Probabilistic time estimation in tunnel projects
Open this publication in new window or tab >>Probabilistic time estimation in tunnel projects
2021 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Transport infrastructure projects, including tunneling, suffer from timedelays and cost overrun. A literature review shows that the effect ofuncertainty has been neglected in explaining time and cost overrunmeaning that technical explanations matter. Probabilistic estimations oftime and cost can be employed for dealing with uncertainty in transportinfrastructure projects.In this licentiate thesis, KTH’s probabilistic time and cost estimationmodel for tunneling projects (Isaksson and Stille, 2005, Rock Mech. RockEng., 38, 373-398) was improved. The improvements include breakingdown the production activities into their sub-activities, which form thebasis for assessing times (or costs) for tunnel construction. In addition, theexceptional time and the length of model’s geotechnical zones aredescribed as stochastic variables instead of deterministic values used in theoriginal model. Given its hierarchical structure, the model can be used fortime and cost estimation of all types of tunnels and all constructionmethods in various geological condition.The improved version of the model uses three types of input parametersthat are probabilities of occurrences of different geological condition andidentified undesirable events, production effort of sub-activities (i.e. timespent for performing the sub-activity per unit length of tunnel) andadditive delay time that is imposed as a result of occurrence of undesirableevents. The important issues in modeling the uncertainty in the productionefforts of sub-activities are also explained.

Abstract [sv]

Transportinfrastrukturprojekt, inklusive tunnelbyggnad, lider ofta avförseningar och ökade kostnader. En litteraturgenomgång visar atteffekten av osäkerhet inte har beaktats när man försöker förklara orsakentill förseningar och kostnadsökningar, vilket betyder att osäkerheten omgeotekniska förhållanden mycket väl kan spela en stor roll. För att hanteradenna osäkerhet när man bedömer tid och kostnad för tunnelprojekt kansannolikhetsbaserade metoder användas.I denna licentiatuppsats förbättrades den sannolikhetsbaserade modellför tid och kostnadsskattning i tunnelprojekt som tidigare utvecklats påKTH (Isaksson och Stille, 2005, Rock Mech. Rock Eng., 38, 373-398). Denviktigaste förbättringen var att dela upp produktionsaktiviteterna idelaktiviteter, för vilka man sedan enklare kan bedöma tidsåtgång (ellerkostnader). Dessutom beskrivs exceptionella förseningar och längden påmodellens geotekniska zoner nu med stokastiska variabler istället för meddeterministiska värden. Modellen är flexibel nog att kunna användas förtids- och kostnadsskattning av alla typer av tunnelprojekt ochkonstruktionsmetoder i olika geologiska miljöer.Den förbättrade versionen av modellen använder tre typer avindataparametrar: sannolikheter för förekomster av olika geologiskatillstånd och identifierade oönskade händelser; produktionsinsats fördelaktiviteter (d.v.s. den tid som används för att utföra delaktiviteten permeter tunnel); samt försening som orsakas av oönskade händelser.Uppsatsen diskuterar även de viktigaste aspekterna vid modellering avosäkerheten i produktionsinsatsen för delaktiviteter.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2021. p. 53
Series
TRITA-ABE-DLT ; 2137
Keywords
Cost overrun, Tunneling projects, Probabilistic approaches, time estimation, Kostnadsöverskridande, tunnelprojekt, sannolikhetsmetoder, tidsuppskattning
National Category
Geotechnical Engineering and Engineering Geology
Research subject
Civil and Architectural Engineering, Soil and Rock Mechanics
Identifiers
urn:nbn:se:kth:diva-304245 (URN)978-91-8040-034-3 (ISBN)
Presentation
2021-11-26, B2, Brinellvägen 23, KTH Campus, Kontaktperson johan.spross@byv.kth.se. Fjärrdeltagande / Remote participation https://kth-se.zoom.us/j/64445321895, Stockholm, 13:00 (English)
Opponent
Supervisors
Funder
Rock Engineering Research Foundation (BeFo), 400Swedish Research Council Formas, 2017-01218
Note

QC 20211102

Available from: 2021-11-02 Created: 2021-10-28 Last updated: 2025-02-07Bibliographically approved

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Mohammadi, MohammadSpross, JohanStille, Håkan

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