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Optimization of LCC for soil improvement using Bayesian statistical decision theory
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: 0000-0001-9615-4861
2022 (English)In: Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, Singapore: Research Publishing Services , 2022, p. 392-397, article id MS-13-031Conference paper, Published paper (Refereed)
Abstract [en]

Design decisions in geotechnical engineering typically need to be made under considerable uncertainty, both regarding presentgeotechnical conditions and future events occurring during the service life of the structure. To optimize the utility of societalinvestments, design decisions should consider the life cycle cost (LCC) and not only the construction cost. This paper investigates theapplicability of Bayesian statistical decision theory to assist in this decision making. The paper illustrates the concepts with a practicalexample, where a geotechnical engineer considers three design alternatives for the foundation of a road embankment: pre-fabricatedvertical drains with a surcharge, end-bearing and floating dry deep mixing columns. The effect of a potential extreme groundwaterdrawdown event on the LCC of these alternatives is analyzed and discussed. Concluding remarks are made on the relevance of suchdesign tools in a structured risk management in geotechnical engineering projects.

Place, publisher, year, edition, pages
Singapore: Research Publishing Services , 2022. p. 392-397, article id MS-13-031
Keywords [en]
life cycle cost, embankment, observational method, PVD, dry deep mixing
National Category
Geotechnical Engineering and Engineering Geology
Research subject
Civil and Architectural Engineering, Soil and Rock Mechanics
Identifiers
URN: urn:nbn:se:kth:diva-320072DOI: 10.3850/978-981-18-5184-1_MS-13-031-cdScopus ID: 2-s2.0-85167789402OAI: oai:DiVA.org:kth-320072DiVA, id: diva2:1703575
Conference
8th International Symposium on Reliability Engineering and Risk Management, Hannover, Germany, 4 - 7 September 2022
Funder
Swedish Transport Administration
Note

QC 20221110

Available from: 2022-10-13 Created: 2022-10-13 Last updated: 2025-02-07Bibliographically approved

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Spross, JohanHintze, StaffanLarsson, Stefan

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