Adaptive Decision Framework for Civil Infrastructure exposed to Evolving Risks

Ji Yun Lee*, Henry Burton, David Lallemant

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

Adaptive decision-making (ADM) is a structured process of learning, improving understanding, and ultimately adapting management decisions in a systematic and efficient way, aimed at reducing uncertainties over the course of the management timeframe. This approach holds a great potential for dealing with the challenges faced by civil infrastructure facilities, especially those exposed to evolving risks caused by changes in environmental and urban settings, evolving expectations and preferences of the public, tightening budgets, and unpredictable political circumstances over their lifetime. This paper suggests ADM as a way of continuously reevaluating the risks and providing more adaptive and flexible management actions to enhance infrastructure resilience under dynamic changes and evolving conditions. The proposed ADM is illustrated with a benchmark problem based on a testbed residential community in Kathmandu, Nepal to explore the effect of incremental building expansion on the seismic risk to a community and examine the feasibility and effectiveness of ADM in improving resilience.

Original languageEnglish
Pages (from-to)435-442
Number of pages8
JournalProcedia Engineering
Volume212
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event7th International Conference on Building Resilience, ICBR 2017 - Bangkok, Thailand
Duration: Nov 27 2017Nov 29 2017

Bibliographical note

Publisher Copyright:
© 2018 The Authors. Published by Elsevier Ltd.

ASJC Scopus Subject Areas

  • General Engineering

Keywords

  • Adaptive management
  • Building expansion
  • Decision-making
  • Earthquake Engineering
  • Resilience
  • Risk assessment
  • Structural Engineering

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