A lattice modelling framework for fracture-induced acoustic emission wave propagation in concrete

• A lattice modelling approach for the coupling between material fracture and induced elastic wave propagation. • A systematic framework for simulating wave propagation including attenuation in quasi-brittle materials using discrete element methods. • A proportional-integral-derivative (PID) algorithm to control the numerical dynamic noises. • A theoretical method and corresponding experimental calibration procedure for AE signal attenuation. • A relationship between lattice grid size and the frequency resolution of simulated AE waves. To date, there is no comprehensive approach available that can explicitly model the complete transient waveforms of acoustic emissions (AE) induced by fracture processes in brittle and quasi-brittle materials like concrete. The complexity of AE modelling arises from the intricate coupling between the local discontinuity of material fracturing and the global continuity of elastic wave propagation in solids. Among others, the lattice type models are promising approaches, as they are known to be a matured modelling approach to simulate the fracturing process in concrete-like materials. Nevertheless, like other discrete element methods (DEM), they are currently limited to describing the number and rate of AE events (broken elements) in the fracture process and cannot explicitly model wave generation and propagation. In this study, we propose a lattice modeling framework to simulate the propagation of complete waveforms of fracture-induced AE signals in concrete. A proportional-integral-derivative (PID) control algorithm is incorporated in an explicit time integration procedure to reduce dynamic noise from spurious oscillations. Additionally, a Rayleigh damping-based calculation method and corresponding calibration procedure are proposed to model the attenuation of AE signals due to material damping. Using the developed approach, we systematically investigate the feasibility of lattice models for elastic wave propagation simulation, the dependence of lattice mesh sizes and the choice of numerical damping parameters. These results lead to a systematic framework which can be employed in simulating wave propagation with attenuation using DEM models in general including lattice models.

Authors

Institutions

Publication Details

Journal
Engineering Fracture Mechanics
Published
2024-10-31
DOI
https://doi.org/10.1016/j.engfracmech.2024.110589
Citations
11
Primary Topic
Geophysical Methods and Applications
Type
article
Field-Weighted Citation Impact
3.69
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A lattice modelling framework for fracture-induced acoustic emission wave propagation in concrete

Fengqiao Zhang, Yubao Zhou, Yuguang Yang, Beyazit Bestami Aydin et al.
11 citations
Engineering Fracture Mechanics
Geophysical Methods and Applications
3.69
article

A lattice modelling framework for fracture-induced acoustic emission wave propagation in concrete

Fengqiao Zhang, Yubao Zhou, Yuguang Yang, Beyazit Bestami Aydin, Max A.N. Hendriks
article en
11 citations

Abstract

• A lattice modelling approach for the coupling between material fracture and induced elastic wave propagation. • A systematic framework for simulating wave propagation including attenuation in quasi-brittle materials using discrete element methods. • A proportional-integral-derivative (PID) algorithm to control the numerical dynamic noises. • A theoretical method and corresponding experimental calibration procedure for AE signal attenuation. • A relationship between lattice grid size and the frequency resolution of simulated AE waves. To date, there is no comprehensive approach available that can explicitly model the complete transient waveforms of acoustic emissions (AE) induced by fracture processes in brittle and quasi-brittle materials like concrete. The complexity of AE modelling arises from the intricate coupling between the local discontinuity of material fracturing and the global continuity of elastic wave propagation in solids. Among others, the lattice type models are promising approaches, as they are known to be a matured modelling approach to simulate the fracturing process in concrete-like materials. Nevertheless, like other discrete element methods (DEM), they are currently limited to describing the number and rate of AE events (broken elements) in the fracture process and cannot explicitly model wave generation and propagation. In this study, we propose a lattice modeling framework to simulate the propagation of complete waveforms of fracture-induced AE signals in concrete. A proportional-integral-derivative (PID) control algorithm is incorporated in an explicit time integration procedure to reduce dynamic noise from spurious oscillations. Additionally, a Rayleigh damping-based calculation method and corresponding calibration procedure are proposed to model the attenuation of AE signals due to material damping. Using the developed approach, we systematically investigate the feasibility of lattice models for elastic wave propagation simulation, the dependence of lattice mesh sizes and the choice of numerical damping parameters. These results lead to a systematic framework which can be employed in simulating wave propagation with attenuation using DEM models in general including lattice models.

Engineering Fracture MechanicsVol. 312
Middle East Technical University (TR), Norwegian University of Science and Technology (NO), University of Cambridge (GB), Delft University of Technology (NL)
Climate action
Openalex Percentile: Top 7%
Geophysical Methods and Applications
3.69
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.