A probabilistic multiparameter framework for the modeling of fatigue crack growth in concrete

K. Bhalerao; W. Shen; A. B.O. Soboyejo; W. O. Soboyejo

doi:10.1016/S0958-9465(02)00074-4

A probabilistic multiparameter framework for the modeling of fatigue crack growth in concrete

K. Bhalerao, W. Shen, A. B.O. Soboyejo, W. O. Soboyejo

Research output: Contribution to journal › Conference article › peer-review

Abstract

This paper presents a probabilistic multiparameter framework for the modeling of fatigue crack growth in three grades of concrete. The framework relies on the use of ranked fatigue crack growth rate data (with specified occurrence probability levels) in the formulation of multiparameter fatigue crack growth expressions. These relate ranked fatigue crack growth rates to crack driving force parameters such as the stress intensity factor range, maximum stress intensity factor, stress ratio and occurrence probability level. A probabilistic framework is then presented for the estimation of material reliability or failure probability due to fatigue crack growth. The probabilistic model is then validated for the available data.

Original language	English (US)
Pages (from-to)	607-615
Number of pages	9
Journal	Cement and Concrete Composites
Volume	25
Issue number	6
DOIs	https://doi.org/10.1016/S0958-9465(02)00074-4
State	Published - Aug 2003
Externally published	Yes
Event	Mathematics of Data/Image Coding. Compression, and Encryption - San Diego, CA, United States Duration: Jul 21 1998 → Jul 22 1998

Keywords

Concrete
Crack growth
Fatigue
Modeling
Multiparameter
Probabilistic

ASJC Scopus subject areas

Building and Construction
General Materials Science

Online availability

10.1016/S0958-9465(02)00074-4

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title = "A probabilistic multiparameter framework for the modeling of fatigue crack growth in concrete",

abstract = "This paper presents a probabilistic multiparameter framework for the modeling of fatigue crack growth in three grades of concrete. The framework relies on the use of ranked fatigue crack growth rate data (with specified occurrence probability levels) in the formulation of multiparameter fatigue crack growth expressions. These relate ranked fatigue crack growth rates to crack driving force parameters such as the stress intensity factor range, maximum stress intensity factor, stress ratio and occurrence probability level. A probabilistic framework is then presented for the estimation of material reliability or failure probability due to fatigue crack growth. The probabilistic model is then validated for the available data.",

keywords = "Concrete, Crack growth, Fatigue, Modeling, Multiparameter, Probabilistic",

author = "K. Bhalerao and W. Shen and Soboyejo, {A. B.O.} and Soboyejo, {W. O.}",

note = "Funding Information: This research was supported by a research grant from the Division of Civil and Mechanical Systems of the National Science Foundation (NSF). Appreciation is extended to the Program Manager, Dr. Ken Chong. The authors are also grateful to Dr. Dan Davis, the initial NSF program monitor for his encouragement and support for the ideas behind the current work. The authors also would like to thank The Ohio State University and Princeton University for the use of the materials and testing facilities.; Mathematics of Data/Image Coding. Compression, and Encryption ; Conference date: 21-07-1998 Through 22-07-1998",

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language = "English (US)",

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TY - JOUR

T1 - A probabilistic multiparameter framework for the modeling of fatigue crack growth in concrete

AU - Bhalerao, K.

AU - Shen, W.

AU - Soboyejo, A. B.O.

AU - Soboyejo, W. O.

N1 - Funding Information: This research was supported by a research grant from the Division of Civil and Mechanical Systems of the National Science Foundation (NSF). Appreciation is extended to the Program Manager, Dr. Ken Chong. The authors are also grateful to Dr. Dan Davis, the initial NSF program monitor for his encouragement and support for the ideas behind the current work. The authors also would like to thank The Ohio State University and Princeton University for the use of the materials and testing facilities.

PY - 2003/8

Y1 - 2003/8

N2 - This paper presents a probabilistic multiparameter framework for the modeling of fatigue crack growth in three grades of concrete. The framework relies on the use of ranked fatigue crack growth rate data (with specified occurrence probability levels) in the formulation of multiparameter fatigue crack growth expressions. These relate ranked fatigue crack growth rates to crack driving force parameters such as the stress intensity factor range, maximum stress intensity factor, stress ratio and occurrence probability level. A probabilistic framework is then presented for the estimation of material reliability or failure probability due to fatigue crack growth. The probabilistic model is then validated for the available data.

AB - This paper presents a probabilistic multiparameter framework for the modeling of fatigue crack growth in three grades of concrete. The framework relies on the use of ranked fatigue crack growth rate data (with specified occurrence probability levels) in the formulation of multiparameter fatigue crack growth expressions. These relate ranked fatigue crack growth rates to crack driving force parameters such as the stress intensity factor range, maximum stress intensity factor, stress ratio and occurrence probability level. A probabilistic framework is then presented for the estimation of material reliability or failure probability due to fatigue crack growth. The probabilistic model is then validated for the available data.

KW - Concrete

KW - Crack growth

KW - Fatigue

KW - Modeling

KW - Multiparameter

KW - Probabilistic

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U2 - 10.1016/S0958-9465(02)00074-4

DO - 10.1016/S0958-9465(02)00074-4

M3 - Conference article

AN - SCOPUS:0038756082

SN - 0958-9465

VL - 25

SP - 607

EP - 615

JO - Cement and Concrete Composites

JF - Cement and Concrete Composites

IS - 6

T2 - Mathematics of Data/Image Coding. Compression, and Encryption

Y2 - 21 July 1998 through 22 July 1998

ER -

A probabilistic multiparameter framework for the modeling of fatigue crack growth in concrete

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