University of Illinois Urbana-Champaign

Probabilistic models for blast parameters and fragility estimates of steel columns subject to blast loads

Singh, Karandeep

Content Files
SINGH-THESIS-2018.pdf

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https://hdl.handle.net/2142/102960

Description

Title
Probabilistic models for blast parameters and fragility estimates of steel columns subject to blast loads
Author(s)
Singh, Karandeep
Issue Date
2018-12-13
Director of Research (if dissertation) or Advisor (if thesis)
Gardoni, Paolo
Department of Study
Civil & Environmental Eng
Discipline
Civil Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Date of Ingest
2019-02-08T18:44:45Z
Keyword(s)
  • Blast loading
  • Fragility estimates
  • Probabilistic blast models
  • Steel column
  • SDOF analysis
Abstract
This thesis proposes a probabilistic framework to predict the failure probabilities of steel columns subject to blast loads. The framework considers the uncertainties in the blast phenomenon, the demands imposed on the column, and the capacities of the column for the limit states of flexure, local buckling and global buckling. As part of the work, we propose four probabilistic blast load models. For different types of explosives and atmospheric conditions, two models predict the incident and reflected peak pressure generated by the explosion and two models predict the incident and reflected positive time duration of the blast wave. The models are probabilistic to capture the associated uncertainties, including variations in the atmospheric conditions, the inherent variability in the blast load data even for identical experimental conditions, and model error. The blast load models are used to predict the structural demands (maximum internal moment and deflection) imposed by the blast on a column. The demand models are combined with strain-rate dependent capacity models for flexure and global buckling to estimate the conditional probability of failure (or fragility) of a steel column for given scaled distance. As an example, fragility estimates for different columns representative of typical columns in steel frames are developed. The results highlight the effect of column dimensions and axial load on the failure probabilities.
Graduation Semester
2018-12
Type of Resource
text
Permalink
http://hdl.handle.net/2142/102960
Copyright and License Information
Copyright 2018 Karandeep Singh

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