TY - JOUR
T1 - Assessment of damage evolution of concrete beams strengthened with BFRP sheets with acoustic emission and unsupervised machine learning
AU - Liu, Ke
AU - Wulan, Tuoya
AU - Yao, Yadong
AU - Bian, Miao
AU - Bao, Yi
N1 - Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2024/2/1
Y1 - 2024/2/1
N2 - Basalt fiber reinforced polymer (BFRP) is an emerging material that can be used to strengthen or repair concrete structures. This paper experimentally investigates the flexural failure process of concrete beams strengthened by BFRP sheets under four-point loading conditions using acoustic emission (AE)-based nondestructive evaluation and unsupervised machine learning techniques. Both damaged beams and repaired beams were tested and compared with intact beams regarding their mechanical performance and AE signature. Test results showed that BFRP sheets enhanced the load-bearing capacity of the beams significantly, and AE signals were sensitive to the initiation and development of damages. The damage process and mechanisms of different beams have been investigated by analyzing AE signals regarding various AE parameters, and particularly, the failure process and damage mechanisms were investigated via b-value and k-means clustering analyses. This research provides theoretical guidance for evaluating the reinforcing effect of BFRP sheets for concrete beams based on AE techniques.
AB - Basalt fiber reinforced polymer (BFRP) is an emerging material that can be used to strengthen or repair concrete structures. This paper experimentally investigates the flexural failure process of concrete beams strengthened by BFRP sheets under four-point loading conditions using acoustic emission (AE)-based nondestructive evaluation and unsupervised machine learning techniques. Both damaged beams and repaired beams were tested and compared with intact beams regarding their mechanical performance and AE signature. Test results showed that BFRP sheets enhanced the load-bearing capacity of the beams significantly, and AE signals were sensitive to the initiation and development of damages. The damage process and mechanisms of different beams have been investigated by analyzing AE signals regarding various AE parameters, and particularly, the failure process and damage mechanisms were investigated via b-value and k-means clustering analyses. This research provides theoretical guidance for evaluating the reinforcing effect of BFRP sheets for concrete beams based on AE techniques.
KW - Acoustic emission
KW - Basalt fiber reinforced polymer (BFRP)
KW - Concrete cracks
KW - Failure mode identification
KW - b-value
KW - k-means clustering
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U2 - 10.1016/j.engstruct.2023.117228
DO - 10.1016/j.engstruct.2023.117228
M3 - Article
AN - SCOPUS:85178454719
SN - 0141-0296
VL - 300
JO - Engineering Structures
JF - Engineering Structures
M1 - 117228
ER -