TY - JOUR
T1 - Reliability updating for lateral failure of historic quay walls
AU - Hemel, Mart Jan
AU - Peters, Dirk Jan
AU - Schweckendiek, Timo
AU - Jonkman, Sebastiaan N.
PY - 2024
Y1 - 2024
N2 - The historic canal walls of Amsterdam, stretching 200 km in total, are constructed as a masonry wall on a timber deck supported by vertical timber piles. Understanding the resistance against lateral failure of these quays has been challenging due to uncertainties in their working principles, geometry, soil and structural properties. This paper proposes a Bayesian approach to include evidence from past loading situations and corresponding deformations into the reliability assessment. This approach enables refinement of the reliability predictions and parameter distribution uncertainties, leading to a more accurate prediction of the resistance against the lateral failure of historic quay wall. Depending on the type of evidence, an a-priori reliability prediction for a quay wall that fails to meet safety standards can be updated to any of the three consequence classes outlined in NEN8700. In a case study, a quay wall with an a-priori reliability of β = 1.5 has been increased to β = 3.2 by including evidence of an extreme survived load of 10 kN/m2 that resulted in displacements of less than 4 mm. This is a decrease in failure probability by two orders of magnitude, showing the potential impact of using observational information in combination with Bayesian updating.
AB - The historic canal walls of Amsterdam, stretching 200 km in total, are constructed as a masonry wall on a timber deck supported by vertical timber piles. Understanding the resistance against lateral failure of these quays has been challenging due to uncertainties in their working principles, geometry, soil and structural properties. This paper proposes a Bayesian approach to include evidence from past loading situations and corresponding deformations into the reliability assessment. This approach enables refinement of the reliability predictions and parameter distribution uncertainties, leading to a more accurate prediction of the resistance against the lateral failure of historic quay wall. Depending on the type of evidence, an a-priori reliability prediction for a quay wall that fails to meet safety standards can be updated to any of the three consequence classes outlined in NEN8700. In a case study, a quay wall with an a-priori reliability of β = 1.5 has been increased to β = 3.2 by including evidence of an extreme survived load of 10 kN/m2 that resulted in displacements of less than 4 mm. This is a decrease in failure probability by two orders of magnitude, showing the potential impact of using observational information in combination with Bayesian updating.
KW - bacterial deterioration
KW - Bayesian approach
KW - historic quay walls
KW - lateral loaded timber piles
KW - Reliability updating
UR - http://www.scopus.com/inward/record.url?scp=85181690706&partnerID=8YFLogxK
U2 - 10.1080/17499518.2024.2302141
DO - 10.1080/17499518.2024.2302141
M3 - Article
AN - SCOPUS:85181690706
SN - 1749-9518
VL - 18
SP - 882
EP - 903
JO - Georisk
JF - Georisk
IS - 4
ER -