A framework for optimization of target reliability index for a building class based on aggregated cost

Vamshi Krishna Gudipati, Eun Jeong Cha

Research output: Contribution to journalArticle

Abstract

To effectively manage the seismic risk of the built-environment, the target safety levels that design standards are based on should be properly managed by considering the total risk to the built-environment and to the community. This paper introduces a framework for optimizing the target safety levels based on the total life-cycle cost of a portfolio of buildings. Building inventory is categorized to obtain a clear relationship between target safety level and its realizations to design, which is reflected in the proposed framework. To address the issue of unrealistic computation cost in implementing optimization process in target safety level determination, the framework utilizes a neural network for structural response estimation. A procedure to develop a neural network for dynamic response estimation of a group of buildings is also introduced in the paper. The proposed framework is illustrated to obtain the optimal target reliability index for mid-rise office buildings.

Original languageEnglish (US)
Article number101873
JournalStructural Safety
Volume81
DOIs
StatePublished - Nov 1 2019

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Costs
Neural networks
Office buildings
Dynamic response
Life cycle

Keywords

  • Aggregated cost
  • Buildings
  • Neural network
  • Optimization
  • Seismic design
  • Target reliability index

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Safety, Risk, Reliability and Quality

Cite this

A framework for optimization of target reliability index for a building class based on aggregated cost. / Gudipati, Vamshi Krishna; Cha, Eun Jeong.

In: Structural Safety, Vol. 81, 101873, 01.11.2019.

Research output: Contribution to journalArticle

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