Crack Width Analyses of 50-Story Reinforced Concrete Building by Parallelized Discrete-Like Crack Model
Publication: Journal of Structural Engineering
Volume 150, Issue 6
Abstract
The discrete-like crack model (DLCM), a crack-analysis scheme incorporated with the nonlinear finite element method, is redeveloped for parallelism. The algorithm of the new DLCM based on the theory of bond redistribution is implemented through the OpenMP interface and enables analyses of a 50-story building with more than four million degrees of freedom. The analysis considers the drying shrinkage and creep during the construction and service periods, static pushover loading, and a time history of a near-fault strong ground motion. The amount of cracks is quantified as the total length that occurs on the concrete surfaces. The structural damage due to compression softening exhibits a strong correlation with the length of cracks with opening widths larger than 2 mm. The analyzed building becomes unrepairable when the total length of the wide cracks exceeds 50 m. However, the occurrence of such serious damage induced by any seismic vibrations ever recorded is unlikely.
Practical Applications
“There’s no art to find the mind’s construction in the face,” so King Duncan said. However, we can consider the search for structural damages on concrete surfaces a form of art. The presence of cracks proves the life of a reinforced concrete building, similar to a person’s history engraved as wrinkles and scars on their face. Our novel parallel numerical scheme, namely, the discrete-like crack model (DLCM), traces not only the long history of a building starting from its construction but also resolves the issue of unexpected near-fault pulse-type earthquakes into detailed profiles. In this case study, DLCM is employed to assess structural damage using a percentage of cracks that extend up to 100 km on the entire concrete surfaces of a 50-story residential building. The profiles of cracks, stresses, and strains articulate the building’s past and current status and render the possibility to improve the quality of living in the future.
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Data Availability Statement
Some or all data, or models that support the findings of this study are available from the corresponding author upon reasonable request.
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Journal of Structural Engineering
Volume 150 • Issue 6 • June 2024
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© 2024 American Society of Civil Engineers.
History
Received: Jan 31, 2023
Accepted: Dec 27, 2023
Published online: Mar 25, 2024
Published in print: Jun 1, 2024
Discussion open until: Aug 25, 2024
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