Damage Quantification in Concrete under Fatigue Loading Using Acoustic Emission

Joint Authors

Li, Xiao
Shan, Zhi
Yu, Zhiwu
Xie, Ying

Source

Journal of Sensors

Issue

Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2019-11-03

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Civil Engineering

Abstract EN

Acoustic emission (AE) is an effective nondestructive evaluation method for assessing damage in materials; however, few works in the literature have focused on one quantification method of damage in concrete under fatigue loading by using AE for characterizing the entire three main deterioration behaviors simultaneously.

These deterioration behaviors include Young’s modulus degradation, fatigue total strain, and residual strain development.

In this work, an AE quantification method of fatigue damage in concrete was developed, by combining AE and a fiber bundle-based statistical damage model (fiber bundle-irreversible chain model).

By establishing a relationship between normalized AE counts and the damage variable based on the fiber bundle-irreversible chain model, the method was proposed.

Additionally, this method was verified against the experimental results.

It is able to capture the mechanisms of damage accumulation and characterize the three deterioration behaviors simultaneously.

American Psychological Association (APA)

Shan, Zhi& Yu, Zhiwu& Li, Xiao& Xie, Ying. 2019. Damage Quantification in Concrete under Fatigue Loading Using Acoustic Emission. Journal of Sensors،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1187206

Modern Language Association (MLA)

Shan, Zhi…[et al.]. Damage Quantification in Concrete under Fatigue Loading Using Acoustic Emission. Journal of Sensors No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1187206

American Medical Association (AMA)

Shan, Zhi& Yu, Zhiwu& Li, Xiao& Xie, Ying. Damage Quantification in Concrete under Fatigue Loading Using Acoustic Emission. Journal of Sensors. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1187206

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1187206