Published May 2019 | Version v1
Journal article

Reliability analysis and optimum maintenance of coastal flood defences using probabilistic deterioration modelling

  • 1. Centre for Smart Transportation Infrastructures, East China Jiaotong University, Jiangxi 330013 (China)
  • 2. Department of Engineering Science, University of Greenwich, Chatham, Kent ME4 4 TB (United Kingdom)

Description

Highlights: • Investigating future hydraulic conditions of coastal flood defences due to climate change; • Modelling asset deterioration from field inspection data using time-dependent state-based stochastic process; • Analysing time-dependent probability of failures related to wave overtopping and soil piping; • Optimising maintenance strategy by minimising both maintenance costs and failure risk. -- Abstract: This paper presents a method for time-dependent reliability analysis, future performance predictions and optimum maintenance strategy of coastal flood defences such as earth sea dykes subjected to changing operation conditions. The reliability analysis takes into account both the changes of hydraulic variables such as water level and wave height due to climate change and the deterioration of structural capacities such as crest freeboard loss and soil seepage length degradation over time. A probabilistic time-dependent semi-Markov process is adopted for estimating the transition probabilities on the basis of available field data through routine inspections and expert judgements. Limit state equations are established for evaluating time-dependent probability of failures associated with wave overtopping through the flood defence crest and piping in the underlying water conductive soils. A multi-objective optimisation method is then employed to find optimum solution space for asset inspection and maintenance by minimising both costs for inspection and annual risk of structural failures. The results for a typical earth sea dyke at Thames Estuary show that the probability of failures associated with wave overtopping and soil piping will increase significantly over time, thus appropriate maintenance strategy is required to reduce the risk caused by changing operating conditions.

Additional details

Identifiers

DOI
10.1016/j.ress.2018.12.021;
PII
S0951832018308810;

Publishing Information

Journal Title
Reliability Engineering and System Safety
Journal Volume
185
Journal Page Range
p. 163-174
ISSN
0951-8320
CODEN
RESSEP

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
55017037
Subject category
S42: ENGINEERING;
Descriptors DEI
COMPUTERIZED SIMULATION; HYDRAULICS; MAINTENANCE; MARKOV PROCESS; OPTIMIZATION; PERFORMANCE; PROBABILISTIC ESTIMATION; RELIABILITY; SOILS; TIME DEPENDENCE
Descriptors DEC
CALCULATION METHODS; FLUID MECHANICS; MECHANICS; SIMULATION; STOCHASTIC PROCESSES

Optional Information

Copyright
Copyright (c) 2018 Elsevier Ltd. All rights reserved.