Robustness of Load and Resistance Design Factors for RC Columns with Wind-Dominated Combination Considering Random Eccentricity

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Authors

  • Youbao Jiang
  • Hao Zhou
  • Michael Beer
  • Lei Wang
  • Jianren Zhang
  • Linjie Zhao

Research Organisations

External Research Organisations

  • Changsha University of Science and Technology
  • University of Liverpool
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Details

Original languageEnglish
Article number04016221
JournalJournal of Structural Engineering
Volume143
Issue number4
Early online date28 Nov 2016
Publication statusPublished - Apr 2017

Abstract

Based on the capacity models in the 2008 edition of the American Concrete Institute (ACI) Standard Building Code Requirements for Structural Concrete, a more realistic limit state function is built for reinforced concrete columns with random eccentricity. Then, we discuss the applicability of the load and resistance factors in the code, which is mainly based on reliability calibrations with a fixed eccentricity criterion. Taking the wind-dominated combination as an example, representative cases are established by selecting typical values of four related design parameters. Using the load and resistance models in previous reliability calibration of the code, the probabilistic distribution of eccentricity and the statistics of column resistance are analyzed for each case. The analysis indicates that the possible eccentricity shows a scatter over a large range, and the probabilistic model of column resistance varies from case to case, which is largely different from the constant resistance model assumed in previous reliability calibration. With Monte Carlo simulation (MCS), the column reliability is calculated and obtained for different cases. The results show that the fixed eccentricity criterion underestimates the reliability differences among cases and overestimates the column reliability in some tension failure cases. To attain a robust design, an improved measure is recommended by selecting optimum wind load factors varying with cases. The new calibration results prove that the recommended measures can achieve the goal better.

Keywords

    Random eccentricity, RC columns, Reliability evaluation, Robustness, Safety and reliability, Sensitivity analysis, Wind-dominated combination

ASJC Scopus subject areas

Cite this

Robustness of Load and Resistance Design Factors for RC Columns with Wind-Dominated Combination Considering Random Eccentricity. / Jiang, Youbao; Zhou, Hao; Beer, Michael et al.
In: Journal of Structural Engineering, Vol. 143, No. 4, 04016221, 04.2017.

Research output: Contribution to journalArticleResearchpeer review

Jiang Y, Zhou H, Beer M, Wang L, Zhang J, Zhao L. Robustness of Load and Resistance Design Factors for RC Columns with Wind-Dominated Combination Considering Random Eccentricity. Journal of Structural Engineering. 2017 Apr;143(4):04016221. Epub 2016 Nov 28. doi: 10.1061/(ASCE)ST.1943-541X.0001720
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title = "Robustness of Load and Resistance Design Factors for RC Columns with Wind-Dominated Combination Considering Random Eccentricity",
abstract = "Based on the capacity models in the 2008 edition of the American Concrete Institute (ACI) Standard Building Code Requirements for Structural Concrete, a more realistic limit state function is built for reinforced concrete columns with random eccentricity. Then, we discuss the applicability of the load and resistance factors in the code, which is mainly based on reliability calibrations with a fixed eccentricity criterion. Taking the wind-dominated combination as an example, representative cases are established by selecting typical values of four related design parameters. Using the load and resistance models in previous reliability calibration of the code, the probabilistic distribution of eccentricity and the statistics of column resistance are analyzed for each case. The analysis indicates that the possible eccentricity shows a scatter over a large range, and the probabilistic model of column resistance varies from case to case, which is largely different from the constant resistance model assumed in previous reliability calibration. With Monte Carlo simulation (MCS), the column reliability is calculated and obtained for different cases. The results show that the fixed eccentricity criterion underestimates the reliability differences among cases and overestimates the column reliability in some tension failure cases. To attain a robust design, an improved measure is recommended by selecting optimum wind load factors varying with cases. The new calibration results prove that the recommended measures can achieve the goal better.",
keywords = "Random eccentricity, RC columns, Reliability evaluation, Robustness, Safety and reliability, Sensitivity analysis, Wind-dominated combination",
author = "Youbao Jiang and Hao Zhou and Michael Beer and Lei Wang and Jianren Zhang and Linjie Zhao",
note = "Funding information: The research is supported by the National Natural Science Foundation of China (Grant No. 51678072), the National Key Basic Research Program of China (Grant No. 2015CB057705), and China Scholarship Council (Grant No. 201308430311). This support is gratefully acknowledged.",
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AU - Jiang, Youbao

AU - Zhou, Hao

AU - Beer, Michael

AU - Wang, Lei

AU - Zhang, Jianren

AU - Zhao, Linjie

N1 - Funding information: The research is supported by the National Natural Science Foundation of China (Grant No. 51678072), the National Key Basic Research Program of China (Grant No. 2015CB057705), and China Scholarship Council (Grant No. 201308430311). This support is gratefully acknowledged.

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N2 - Based on the capacity models in the 2008 edition of the American Concrete Institute (ACI) Standard Building Code Requirements for Structural Concrete, a more realistic limit state function is built for reinforced concrete columns with random eccentricity. Then, we discuss the applicability of the load and resistance factors in the code, which is mainly based on reliability calibrations with a fixed eccentricity criterion. Taking the wind-dominated combination as an example, representative cases are established by selecting typical values of four related design parameters. Using the load and resistance models in previous reliability calibration of the code, the probabilistic distribution of eccentricity and the statistics of column resistance are analyzed for each case. The analysis indicates that the possible eccentricity shows a scatter over a large range, and the probabilistic model of column resistance varies from case to case, which is largely different from the constant resistance model assumed in previous reliability calibration. With Monte Carlo simulation (MCS), the column reliability is calculated and obtained for different cases. The results show that the fixed eccentricity criterion underestimates the reliability differences among cases and overestimates the column reliability in some tension failure cases. To attain a robust design, an improved measure is recommended by selecting optimum wind load factors varying with cases. The new calibration results prove that the recommended measures can achieve the goal better.

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