Technical Papers
Nov 23, 2022

Performance-Based Characterization and Quantification of Uncertainty in Damage Plasticity Model for Seismic Fragility Assessment of Concrete Structures

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 9, Issue 1

Abstract

Seismic probabilistic risk assessment requires explicit consideration and quantification of all sources of uncertainty. Although uncertainties in earthquakes and basic material properties, such as nominal concrete compressive strength, strain at maximum stress, and modulus of elasticity of concrete, have been considered in some studies, uncertainties in parameters used to model the nonlinear behavior of concrete are often not considered. Recent recommendations in design standards have incorporated performance-based limit states in the design and risk assessment of nuclear power plants. These recommendations have implicitly mandated that the uncertainty in the nonlinear behavior of concrete needs to be characterized and quantified in accordance with different performance limit states. This study focused on nonlinear model parameters in the concrete damage plasticity model (CDPM) and their characterization in terms of material strength parameters. Furthermore, a performance-based characterization and quantification of uncertainties in nonlinear model parameters was also conducted. Data from existing experimental studies were used to study the uncertainties in CDPM and were used as a basis for the proposed quantification.

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Data Availability Statement

All of the data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This research was partially supported by the Center for Nuclear Energy Facilities and Structures at North Carolina State University. Resources for the center come from dues paid by member organizations and from the Civil, Construction, and Environmental Engineering Department and College of Engineering at the university.

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Go to ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 9Issue 1March 2023

History

Received: Mar 6, 2022
Accepted: Sep 16, 2022
Published online: Nov 23, 2022
Published in print: Mar 1, 2023
Discussion open until: Apr 23, 2023

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Sangwoo Lee, Ph.D. [email protected]
Dept. of Civil, Construction, and Environmental Engineering, North Carolina State Univ., Raleigh, NC 27606. Email: [email protected]
Abhinav Gupta [email protected]
Professor and Director, Dept. of Civil, Construction, and Environmental Engineering, North Carolina State Univ., Raleigh, NC 27606 (corresponding author). Email: [email protected]
Assistant Professor, Dept. of Civil, Construction, and Environmental Engineering, North Carolina State Univ., Raleigh, NC 27606. ORCID: https://orcid.org/0000-0003-4172-442X. Email: [email protected]

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Cited by

  • Evaluating Seismic Performance in Reinforced Concrete Buildings with Complex Shear Walls: A Focus on a Residential Case in Chile, Buildings, 10.3390/buildings14030761, 14, 3, (761), (2024).
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  • On efficient seismic fragility assessment using sequential Bayesian inference and truncation scheme: A case study of shear wall structure, Computers & Structures, 10.1016/j.compstruc.2023.107150, 289, (107150), (2023).

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