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Acoustic emission (AE) measurements performed during the compressive loading of concrete samples with three different microstructures (aggregate sizes and porosity) and four sample sizes revealed that failure is preceded by an acceleration…

统计力学 · 物理学 2019-01-16 Chi-Cong Vu , David Amitrano , Olivier Plé , Jérôme Weiss

The acoustic emission of fracture precursors, and the failure time of samples of heterogeneous materials (wood, fiberglass) are studied as a function of the load features and geometry. It is shown that in these materials the failure time is…

材料科学 · 物理学 2009-11-07 A. Guarino , S. Ciliberto , A. Garcimartin , M. Zei , R. Scorretti

Fracturing in reservoir rocks is an important issue for the petroleum industry - as productivity can be enhanced by a controlled fracturing operation. Fracturing also has a big impact on CO2 storage, geothermal installation and gas…

地球物理 · 物理学 2015-12-17 S. Pradhan , A. M. Stroisz , E. Fjær , J. Stenebråten , H. K. Lund , E. F. Sønstebø , S. Roy

The total energy of acoustic emission (AE) events in externally stressed materials diverges when approaching macroscopic failure. Numerical and conceptual models explain this accelerated seismic release (ASR) as the approach to a critical…

Forecasting the imminent catastrophic failure has a high importance for a large variety of systems from the collapse of engineering constructions, through the emergence of landslides and earthquakes, to volcanic eruptions. Failure forecast…

无序系统与神经网络 · 物理学 2020-10-23 Viktória Kádár , Gergő Pál , Ferenc Kun

We present statistical analysis of acoustic emission (AE) data from tensile experiments on paper sheets, loading mode I, with samples broken under strain control. The results are based on 100 experiments on unnotched samples and 70 samples…

材料科学 · 物理学 2010-07-28 J. Rosti , J. Koivisto , M. J. Alava

Acoustic emission (AE) activity data resulting from the fracture processes of brittle materials is valuable real time information regarding the evolving state of damage in the material. Here, through a combined experimental and…

统计力学 · 物理学 2023-12-29 Subrat Senapati , Anuradha Banerjee , R. Rajesh

A subcritical load on a disordered material can induce creep damage. The creep rate in this case exhibits three temporal regimes viz. an initial decelerating regime followed by a steady-state regime and a stage of accelerating creep that…

软凝聚态物质 · 物理学 2020-05-08 Soumyajyoti Biswas , David F. Castellanos , Michael Zaiser

We present creep experiments on fiber composite materials. Recorded strain rates and acoustic emission (AE) rates exhibit both a power law relaxation in the primary creep regime and a power-law acceleration before global failure. In…

材料科学 · 物理学 2009-11-10 H. Nechad , A. Helmstetter , R. El Guerjouma , D. Sornette

The Acoustic Emission (AE) phenomenon has been used as a powerful tool with the purpose to either detect, locate or assess damage for a wide range of applications. Derived from its monitoring, one major current challenge on the analysis of…

信号处理 · 电气工程与系统科学 2020-03-31 Fernando Pinal-Moctezuma , Miguel Delgado-Prieto , Luis Romeral-Martinez

We investigate the approach to catastrophic failure in a model porous granular material undergoing uniaxial compression. A discrete element computational model is used to simulate both the micro-structure of the material and the complex…

无序系统与神经网络 · 物理学 2014-02-27 F. Kun , I. Varga , S. Lennartz-Sassinek , I. G. Main

Crack growth is the basic mechanism leading to the failure of brittle materials. Engineering addresses this problem within the framework of continuum mechanics, which links deterministically the crack motion to the applied loading. Such an…

统计力学 · 物理学 2018-12-26 Jonathan Barés , Daniel Bonamy

We investigate the dynamics of a modified Burridge-Knopoff model by introducing a dissipative term to mimic the bursts of acoustic emission (AE) from rock samples. The model explains many features of the statistics of AE signals observed in…

材料科学 · 物理学 2009-11-10 Rumi De , G. Ananthakrishna

Machine learning models using seismic emissions can predict instantaneous fault characteristics such as displacement in laboratory experiments and slow slip in Earth. Here, we address whether the acoustic emission (AE) from laboratory…

地球物理 · 物理学 2022-02-09 Kun Wang , Christopher W. Johnson , Kane C. Bennett , Paul A. Johnson

Acoustic emission has been measured and statistical characteristics have been analyzed during the stress-induced collapse of porous berlinite, AlPO4, containing up to 50 vol% porosity. Stress collapse occurs in a series of individual events…

The deformation of rocks is associated with microcracks nucleation and propagation, i.e. damage. The accumulation of damage and its spatial localization lead to the creation of a macroscale discontinuity, so-called "fault" in geological…

地球物理 · 物理学 2007-09-19 David Amitrano

The statistical property of acoustic emission (AE) events from a plunged granular bed is analyzed by means of actual time and natural time analyses. These temporal analysis methods allow us to investigate the details of AE events that…

统计力学 · 物理学 2015-10-21 Daisuke Tsuji , Hiroaki Katsuragi

We report tensile failure experiments on paper sheets. The acoustic emission energy and the waiting times between acoustic events follow power-law distributions. This remains true while the strain rate is varied by more than two orders of…

无序系统与神经网络 · 物理学 2009-11-10 L. I. Salminen , A. I. Tolvanen , M. J. Alava

Creep under a sustained load can persist for long times yet culminate in abrupt yielding or rupture, implying a finite lifetime even when the material appears solid. Here, we formulate lifetime prediction as Bayesian inference over an…

材料科学 · 物理学 2026-04-01 Juan Carlos Verano-Espitia , Tero Mäkinen , Mikko J. Alava , Jérôme Weiss

An accurate understanding of the interplay between random and deterministic processes in generating extreme events is of critical importance in many fields, from forecasting extreme meteorological events to the catastrophic failure of…

无序系统与神经网络 · 物理学 2016-04-07 Gergo Pal , Frank Raischel , Sabine Lennartz-Sassinek , Ferenc Kun , Ian G. Main
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