Open AccessExperimental study on grout defects detection in precast shell wall based on wavelet packet analysis
Author(s) -
X Zhang,
Hesheng Tang,
Deyuan Zhou,
C X Zhang
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/510/5/052090
Subject(s) - precast concrete , grout , structural engineering , wavelet , network packet , shell (structure) , materials science , computer science , engineering , composite material , artificial intelligence , computer network
Due to construction problems, grout defects always exist in precast structure with rebars spliced by sleeves. However, research on grout defects detection faces great challenges owing to the complexity of the problem. This study presents a nondestructive grout defects detection method based on wavelet packet analysis. First, experiment is carried out on two precast shell walls, then, acceleration responses are analyzed, and defects detection indexes ERVD and ERVDs are proposed. The results show that ERVDs is more sensitive to the grout defects than ERVD, and can be used as a good defect detection index in prefabricated shear wall.