PSI - Issue 66

Available online at www.sciencedirect.com Available online at www.sciencedirect.com ScienceDirect Structural Integrity Procedia 00 (2025) 000–000

www.elsevier.com/locate/procedia

ScienceDirect

Procedia Structural Integrity 66 (2024) 381–387

8th International Conference on Crack Paths Prediction of Crack Path in Reinforced Concrete using Acoustic Emission Analysis Vivek Vishwakarma a* , Sonalisa Ray a a Dept. of Civil Engineering, IIT Roorkee, India Abstract This paper presents a probability-based approach for predicting crack propagation in lightly reinforced concrete beams using acoustic emission techniques. A novel methodology combining Gaussian Mixture Model clustering and spatial binning is employed to simulate the crack path and plane. Experiments were conducted on notched lightly reinforced concrete beams under flexural loading, with AE data continuously recorded. GMM clustering was used to categorize AE events based on their average frequency and rise angle, enabling the selection of mode I crack events based on probability threshold. Then the filtered AE data was processed using a spatial and temporal binning strategy to simulate the evolving crack path. The predicted crack evolution in terms of path and length was validated against the results obtained from digital image correlation, demonstrating good agreement. This research highlights the effectiveness of acoustic emission technology, combining probabilistic clustering with spatial and temporal binning of AE data for real-time crack path prediction in reinforced concrete structures, offering valuable insights for structural health monitoring and damage assessment. © 2025 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of CP 2024 Organizers Keywords: Reinforced concrete; Crack path; Acoustic emission; Crack length; Spatial binning; Temporal binning. a © 2025 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of CP 2024 Organizers

1. Introduction

Understanding and predicting crack propagation in concrete structures is crucial for ensuring their safety and durability. Concrete, a heterogeneous material, exhibits complex cracking behaviour influenced by factors like loading conditions, material properties, and environmental exposure. Traditionally, digital image correlation (DIC) is

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* Corresponding author. Tel.: +91-9619929912 E-mail address: Vivek_v@ce.iitr.ac.in

2452-3216 © 2025 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of CP 2024 Organizers

2452-3216 © 2025 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of CP 2024 Organizers 10.1016/j.prostr.2024.11.089