PSI - Issue 64

Available online at www.sciencedirect.com Structural Integrity Procedia 00 (2023) 000 – 000 Available online at www.sciencedirect.com ScienceDirect

www.elsevier.com/locate/procedia

ScienceDirect

Procedia Structural Integrity 64 (2024) 815–821

SMAR 2024 – 7th International Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures AE-Based Health Monitoring of Full-scale RC Beams Strengthened with FRCM Composites Nikhil Holsamudrkar a,* , Sauvik Banerjee a a Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai – 400076, Bharat Abstract Using fiber-reinforced cementitious matrix (FRCM) offers several advantages, making it a potential replacement for conventional fiber-reinforced polymers (FRP). Integrating mechanical anchorage enhances the robustness and cost-effectiveness of the FRCM system. This research study primarily focuses on the comprehensive flexural strengthening of reinforced concrete (RC) beams using FRCM. To achieve this, three RC beams were intentionally partially damaged, and subsequently, two layers of FRCM were applied with three distinct strengthening strategies, including options with and without mechanical anchorage. These beams were then subjected to a monotonic four-point bending loading test. Monitoring of the front face of the beam is carried out using the Digital Image Correlation (DIC) technique, while the bottom and back faces were equipped with three acoustic sensors, each with a frequency range of 20-1000 kHz. It was observed that the FRCM strengthening strategy involving mechanical anchorage proved highly effective in increasing the load capacity of the beam by approximately 20% when compared to other strategies using a similar percentage of fabric reinforcement. The analysis of acoustic emission (AE) data involved the assessment of parameters such as AE cumulative hits, Cumulative signal strength, event rate, RA-AF, and historical index. These metrics helped identify different test phases based on changing trends in event rate and RA-AF over time. The historical index revealed the patterns of significant events. © 2024 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) © 2024 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 SMAR 2024 Organizers

Peer-review under the responsibility of SMAR 2024 Organizers Keywords: TRM; FRCM; AE; Parametric analysis; Health monitoring

Nomenclature AF

Average Frequency

CSS

Cumulative Signal Strength

HI

Historic Index

2452-3216 © 2024 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 SMAR 2024 Organizers

2452-3216 © 2024 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 SMAR 2024 Organizers 10.1016/j.prostr.2024.09.351