Investigation of long memory in concrete fracture through acoustic emission time series analysis under monotonic and fatigue loading

Burud, NB and Chandra Kishen, JM (2023) Investigation of long memory in concrete fracture through acoustic emission time series analysis under monotonic and fatigue loading. In: Engineering Fracture Mechanics, 277 .

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Abstract

The significant dependence of current events on past events is known as a long memory phenomenon in stochastic processes. The fracture process in concrete is interesting due to its complexity arising from long-range interactions of multi-scale cracks which may manifest in the long memory. We quantify the long memory effect in the concrete fracture process using the Hurst exponent for acoustic emission measurements. The magnitude and inter-event time series are studied for three different beam sizes under monotonic and fatigue loading. The long memory is strongly observed under fatigue loading. Local variations in the Hurst exponent reveal the fundamental difference between monotonic and fatigue loading, which can be used for damage detection in concrete. © 2022 Elsevier Ltd

Item Type:	Journal Article
Publication:	Engineering Fracture Mechanics
Publisher:	Elsevier Ltd
Additional Information:	The copyright for this article belongs to Elsevier Ltd.
Keywords:	Acoustic emission testing; Acoustic emissions; Concretes; Damage detection; Fatigue damage; Fracture; Random processes; Time series analysis, Acoustic-emissions; Concrete; Concrete fracture; Fatigue loadings; Fracture process; Hurst exponents; Long memory; Monotonic loading; Monotonics; Times series, Stochastic systems
Department/Centre:	Division of Mechanical Sciences > Civil Engineering
Date Deposited:	17 Jan 2023 04:12
Last Modified:	17 Jan 2023 04:12
URI:	https://eprints.iisc.ac.in/id/eprint/79182

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