TY - JOUR
T1 - Size Effect on Strength Statistics of Prenotched Quasibrittle Structures
AU - Eliáš, Jan
AU - Le, Jia Liang
N1 - Publisher Copyright:
© 2024 American Society of Civil Engineers.
PY - 2024/6/1
Y1 - 2024/6/1
N2 - This paper presents a stochastic analysis of the size effect on the nominal strength of quasibrittle structures with a large preexisting notch. This type of scaling behavior has been extensively studied within a deterministic framework. Little attention is paid to stochastic analysis, which is essential for reliability-based analysis and design of engineering structures. Stochastic finite element simulations are performed to study the failure of geometrically similar beams of different sizes. The numerical analysis uses a continuum damage model, in which the tensile strength and fracture energy are modeled by homogeneous random fields. Different correlation lengths are considered as a parametric study. The analysis yields the size effects on the mean and coefficient of variation (CoV) of the nominal structural strength. It is shown that the size effect on the mean strength agrees well with the Bazant size effect model. The simulation predicts a strong size effect on the CoV of the nominal strength. Small-, intermediate-, and large-size asymptotes are derived analytically for the scaling behavior of the strength CoV. Based on these asymptotes, an approximate scaling equation is proposed for the CoV of nominal strength. The effect of the correlation length on the simulated failure behavior is discussed.
AB - This paper presents a stochastic analysis of the size effect on the nominal strength of quasibrittle structures with a large preexisting notch. This type of scaling behavior has been extensively studied within a deterministic framework. Little attention is paid to stochastic analysis, which is essential for reliability-based analysis and design of engineering structures. Stochastic finite element simulations are performed to study the failure of geometrically similar beams of different sizes. The numerical analysis uses a continuum damage model, in which the tensile strength and fracture energy are modeled by homogeneous random fields. Different correlation lengths are considered as a parametric study. The analysis yields the size effects on the mean and coefficient of variation (CoV) of the nominal structural strength. It is shown that the size effect on the mean strength agrees well with the Bazant size effect model. The simulation predicts a strong size effect on the CoV of the nominal strength. Small-, intermediate-, and large-size asymptotes are derived analytically for the scaling behavior of the strength CoV. Based on these asymptotes, an approximate scaling equation is proposed for the CoV of nominal strength. The effect of the correlation length on the simulated failure behavior is discussed.
UR - http://www.scopus.com/inward/record.url?scp=85189284328&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85189284328&partnerID=8YFLogxK
U2 - 10.1061/jenmdt.emeng-7629
DO - 10.1061/jenmdt.emeng-7629
M3 - Article
AN - SCOPUS:85189284328
SN - 0733-9399
VL - 150
JO - Journal of Engineering Mechanics
JF - Journal of Engineering Mechanics
IS - 6
M1 - 04024025
ER -