Review of Past Performance and Further Development of Modeling Techniques for Collapse Assessment of Existing Reinforced Concrete Buildings

Published

January 23, 2014

Author(s)

Kenneth Elwood, Jack Baker, Craig Comartin, William Holmes, Jack Moehle, Peter Somers

Abstract

The first phase of work of the Program Plan, documented in this report, included the identification of critical deficiencies, refinement of the list of common deficiencies, and development of collapse mitigation strategies for older reinforced concrete buildings. To facilitate the anticipated analysis program that is envisioned for developing collapse indicators, this phase also included identification of the latest analysis, modeling, and collapse simulation techniques for reinforced concrete components and systems. Because analytical capabilities are rapidly evolving, and the Program Plan includes several research initiatives related to improving collapse simulation that won't be completed for many years, a key strategy in this effort was the conduct of a Collapse Simulation Workshop. In this workshop, leading researchers and practitioners were assembled to review and discuss current state-of-the-art techniques, and to define recommendations for analyzing and simulating degrading response of reinforced concrete systems, which can be used in the near term.

Citation

Grant/Contract Reports (NISTGCR) - 14-917-28

Report Number

14-917-28

NIST Pub Series

Grant/Contract Reports (NISTGCR)

Pub Type

NIST Pubs

Download Paper

Local Download

Keywords

NEHRP Consultants Joint Venture, ATC, Existing Buildings, Reinforced Concrete, Earthquake Design

Citation

Elwood, K. , Baker, J. , Comartin, C. , Holmes, W. , Moehle, J. and Somers, P. (2014), Review of Past Performance and Further Development of Modeling Techniques for Collapse Assessment of Existing Reinforced Concrete Buildings, Grant/Contract Reports (NISTGCR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=915400 (Accessed November 21, 2024)