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Comparison of probabilistic methods for time and cost estimation of tunneling projects
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]

Time and cost estimation for tunneling projects is usually performed in adeterministic manner. However, because the deterministic approach isnot capable of dealing with the high levels of uncertainty involved,probabilistic methods have been developed over the years to betteraccount for this problem. Four models of this type are the SuccessivePrinciple, Decision Aids for Tunneling (DAT), and two models developedat KTH Royal Institute of Technology and Czech Technical University inPrague. This paper compares these models in terms of their ability tocapture the uncertainties involved and to support risk-based decisionmakingin tunneling projects. It also identifies certain weaknesses ofthese models. Potential future updates may consider an improvedmodeling of variability in cycle (round) length, as well as the impact of thedistance of each cycle (round) location from tunnel portal. Finally, fairsharing of risk is an important issue that should be taken into account insuch estimation models. The KTH model is capable of achieving this byclassifying both normal and the undesirable events into different typesaccording to their causes.

Keywords [en]
time and cost estimation, tunneling projects, probabilistic approaches, construction performance, undesirable events, risk-based decision-making
National Category
Geotechnical Engineering and Engineering Geology
Research subject
Civil and Architectural Engineering, Soil and Rock Mechanics
Identifiers
URN: urn:nbn:se:kth:diva-304242OAI: oai:DiVA.org:kth-304242DiVA, id: diva2:1606824
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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