TY - GEN
T1 - Bayesian inference for deep excavations
AU - de Wolf, W. J.
AU - Korff, M.
AU - van Seters, A.
AU - van Dalen, J. H.
N1 - Accepted Author Manuscript
PY - 2021
Y1 - 2021
N2 - In the Observational method Ab Initio approach observational feedback is used to optimize a structural design to field conditions that are found to be uncertain in the design phase. As a deep excavation takes place, the supporting retaining wall deflections can be observed by inclinometers which serve as an extra source of information on the structure’s performance. Although the Observational method can be beneficial for both safety and economic point of view, limited deep excavations have been executed via this design strategy. This is mainly due to the lack of specification on how measurement-processing can be used to support engineers to assess the structure’s safety. This study introduces a methodology for real-time measurement-processing with the use of Bayesian updating. In this methodology retaining wall deflections are used to update the unique field conditions of the construction site. This methodology is applied to a measurement set gathered at the construction of a deep excavation in Groningen, The Netherlands, to demonstrate its potential to supplement the Observational method.
AB - In the Observational method Ab Initio approach observational feedback is used to optimize a structural design to field conditions that are found to be uncertain in the design phase. As a deep excavation takes place, the supporting retaining wall deflections can be observed by inclinometers which serve as an extra source of information on the structure’s performance. Although the Observational method can be beneficial for both safety and economic point of view, limited deep excavations have been executed via this design strategy. This is mainly due to the lack of specification on how measurement-processing can be used to support engineers to assess the structure’s safety. This study introduces a methodology for real-time measurement-processing with the use of Bayesian updating. In this methodology retaining wall deflections are used to update the unique field conditions of the construction site. This methodology is applied to a measurement set gathered at the construction of a deep excavation in Groningen, The Netherlands, to demonstrate its potential to supplement the Observational method.
UR - http://www.scopus.com/inward/record.url?scp=85117423236&partnerID=8YFLogxK
U2 - 10.1201/9780429321559-69
DO - 10.1201/9780429321559-69
M3 - Conference contribution
AN - SCOPUS:85117423236
T3 - Geotechnical Aspects of Underground Construction in Soft Ground - Proceedings of the 10th International Symposium on Geotechnical Aspects of Underground Construction in Soft Ground, IS-CAMBRIDGE 2022
SP - 529
EP - 535
BT - Geotechnical Aspects of Underground Construction in Soft Ground - Proceedings of the 10th International Symposium on Geotechnical Aspects of Underground Construction in Soft Ground, IS-CAMBRIDGE 2022
A2 - Elshafie, Mohammed Z.E.B.
A2 - Viggiani, Giulia M.B.
A2 - Mair, Robert J.
PB - CRC Press / Balkema - Taylor & Francis Group
T2 - 10th International Symposium on Geotechnical Aspects of Underground Construction in Soft Ground, IS-CAMBRIDGE 2022
Y2 - 27 June 2022 through 29 June 2022
ER -