Probabilistic analysis of resistance for RC columns with wind-dominated combination considering random biaxial eccentricity

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

Externe Organisationen

  • Changsha University of Science and Technology
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Seiten (von - bis)730-740
Seitenumfang11
FachzeitschriftStructure and Infrastructure Engineering
Jahrgang20
Ausgabenummer5
Frühes Online-Datum12 Okt. 2022
PublikationsstatusVeröffentlicht - 2024

Abstract

For reinforced concrete (RC) column with biaxial eccentricity, the conventional design methods usually use the fixed eccentricity criterion to check its resistance, which may underestimate the variations of column resistance. Based on the load statistics compatible with the codes, the random properties of biaxial eccentricity are analyzed with Monte Carlo simulation (MCS) for representative columns in regular frame structures under both vertical load and wind load. Then, the tested capacity results of 103 relevant column specimen are collected from literatures. The uncertainty of the resistance model is analyzed for the reciprocal load method in code ACI 318-14. Based on the criterion of both random eccentricity and fixed eccentricity, the probability regarding load bearing capacity exceedance is analyzed for columns by MCS with different design parameters (e.g. axial compression ratio, etc.). The results indicate that based on the prescribed load statistics, the random properties of eccentricities along two principal directions are mainly controlled by the stochastic wind load, leading to that the eccentricities along two principal directions show an approximate perfect correlation; the random biaxial eccentricity has a significant influence on resistance variations and the maximum coefficient of variation is as large as 0.73.

ASJC Scopus Sachgebiete

Zitieren

Probabilistic analysis of resistance for RC columns with wind-dominated combination considering random biaxial eccentricity. / Jiang, Youbao; Zheng, Junlin; Yang, Kailin et al.
in: Structure and Infrastructure Engineering, Jahrgang 20, Nr. 5, 2024, S. 730-740.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Download
@article{04ff63ecbf0e4ab48af962730d2ca43e,
title = "Probabilistic analysis of resistance for RC columns with wind-dominated combination considering random biaxial eccentricity",
abstract = "For reinforced concrete (RC) column with biaxial eccentricity, the conventional design methods usually use the fixed eccentricity criterion to check its resistance, which may underestimate the variations of column resistance. Based on the load statistics compatible with the codes, the random properties of biaxial eccentricity are analyzed with Monte Carlo simulation (MCS) for representative columns in regular frame structures under both vertical load and wind load. Then, the tested capacity results of 103 relevant column specimen are collected from literatures. The uncertainty of the resistance model is analyzed for the reciprocal load method in code ACI 318-14. Based on the criterion of both random eccentricity and fixed eccentricity, the probability regarding load bearing capacity exceedance is analyzed for columns by MCS with different design parameters (e.g. axial compression ratio, etc.). The results indicate that based on the prescribed load statistics, the random properties of eccentricities along two principal directions are mainly controlled by the stochastic wind load, leading to that the eccentricities along two principal directions show an approximate perfect correlation; the random biaxial eccentricity has a significant influence on resistance variations and the maximum coefficient of variation is as large as 0.73.",
keywords = "biaxial bending and axial compression, random biaxial eccentricity, RC column, resistance statistics, wind-dominated combination",
author = "Youbao Jiang and Junlin Zheng and Kailin Yang and Hao Zhou and Michael Beer",
note = "Funding Information: The research is supported by the National Key R&D Program of China (Grant No. 2021YFB2600900), Natural Science Fund for Distinguished Young Scholars of Hunan Province, China (Grant No. 2022JJ10050), Hunan Provincial Natural Science Foundation of China (Grant No. 2021JJ30716), Open Fund of Bridge Engineering of Changsha University of Science and Technology (Grant No. 19KC01) and Key Discipline Foundation of Civil Engineering of Changsha University of Science and Technology (Grant No. 18ZDXK01). This support is gratefully acknowledged. ",
year = "2024",
doi = "10.1080/15732479.2022.2131842",
language = "English",
volume = "20",
pages = "730--740",
journal = "Structure and Infrastructure Engineering",
issn = "1573-2479",
publisher = "Taylor and Francis Ltd.",
number = "5",

}

Download

TY - JOUR

T1 - Probabilistic analysis of resistance for RC columns with wind-dominated combination considering random biaxial eccentricity

AU - Jiang, Youbao

AU - Zheng, Junlin

AU - Yang, Kailin

AU - Zhou, Hao

AU - Beer, Michael

N1 - Funding Information: The research is supported by the National Key R&D Program of China (Grant No. 2021YFB2600900), Natural Science Fund for Distinguished Young Scholars of Hunan Province, China (Grant No. 2022JJ10050), Hunan Provincial Natural Science Foundation of China (Grant No. 2021JJ30716), Open Fund of Bridge Engineering of Changsha University of Science and Technology (Grant No. 19KC01) and Key Discipline Foundation of Civil Engineering of Changsha University of Science and Technology (Grant No. 18ZDXK01). This support is gratefully acknowledged.

PY - 2024

Y1 - 2024

N2 - For reinforced concrete (RC) column with biaxial eccentricity, the conventional design methods usually use the fixed eccentricity criterion to check its resistance, which may underestimate the variations of column resistance. Based on the load statistics compatible with the codes, the random properties of biaxial eccentricity are analyzed with Monte Carlo simulation (MCS) for representative columns in regular frame structures under both vertical load and wind load. Then, the tested capacity results of 103 relevant column specimen are collected from literatures. The uncertainty of the resistance model is analyzed for the reciprocal load method in code ACI 318-14. Based on the criterion of both random eccentricity and fixed eccentricity, the probability regarding load bearing capacity exceedance is analyzed for columns by MCS with different design parameters (e.g. axial compression ratio, etc.). The results indicate that based on the prescribed load statistics, the random properties of eccentricities along two principal directions are mainly controlled by the stochastic wind load, leading to that the eccentricities along two principal directions show an approximate perfect correlation; the random biaxial eccentricity has a significant influence on resistance variations and the maximum coefficient of variation is as large as 0.73.

AB - For reinforced concrete (RC) column with biaxial eccentricity, the conventional design methods usually use the fixed eccentricity criterion to check its resistance, which may underestimate the variations of column resistance. Based on the load statistics compatible with the codes, the random properties of biaxial eccentricity are analyzed with Monte Carlo simulation (MCS) for representative columns in regular frame structures under both vertical load and wind load. Then, the tested capacity results of 103 relevant column specimen are collected from literatures. The uncertainty of the resistance model is analyzed for the reciprocal load method in code ACI 318-14. Based on the criterion of both random eccentricity and fixed eccentricity, the probability regarding load bearing capacity exceedance is analyzed for columns by MCS with different design parameters (e.g. axial compression ratio, etc.). The results indicate that based on the prescribed load statistics, the random properties of eccentricities along two principal directions are mainly controlled by the stochastic wind load, leading to that the eccentricities along two principal directions show an approximate perfect correlation; the random biaxial eccentricity has a significant influence on resistance variations and the maximum coefficient of variation is as large as 0.73.

KW - biaxial bending and axial compression

KW - random biaxial eccentricity

KW - RC column

KW - resistance statistics

KW - wind-dominated combination

UR - http://www.scopus.com/inward/record.url?scp=85139790648&partnerID=8YFLogxK

U2 - 10.1080/15732479.2022.2131842

DO - 10.1080/15732479.2022.2131842

M3 - Article

AN - SCOPUS:85139790648

VL - 20

SP - 730

EP - 740

JO - Structure and Infrastructure Engineering

JF - Structure and Infrastructure Engineering

SN - 1573-2479

IS - 5

ER -

Von denselben Autoren