Hits:

Indexed by:期刊论文

Date of Publication:2016-04-01

Journal:SMART MATERIALS AND STRUCTURES

Included Journals:SCIE、EI、Scopus

Volume:25

Issue:4

ISSN No.:0964-1726

Key Words:guide wave-based damage imaging; local PDI method; global PDI method; multi-damage; PZT sensors network

Abstract:Multi-damage identification is an important and challenging task in the research of guide waves-based structural. health monitoring. In this paper, a multi-damage identification method is presented. using a guide waves-based local probability-based diagnostic imaging (PDI) method. The method includes a. path damage judgment stage, a. multi-damage judgment stage and a. multi-damage imaging stage. First, damage imaging was performed by partition. The damage imaging regions are divided into. beside damage signal paths. The difference in. guide waves propagation characteristics between cross and beside damage paths is proposed by. theoretical analysis of the guide wave signal feature. The time-of-flight difference of paths is used as a. factor to distinguish between. cross and beside damage paths. Then, a global PDI method (damage identification using all paths in the sensor. network) is performed using the beside damage path network. If the global PDI damage zone crosses. the. beside damage path, it means that the discrete multi-damage model (such as a group of holes or cracks) has been. misjudged as a. continuum single-damage model (such as a single hole or crack) by the global PDI method. Subsequently, damage imaging regions are separated by beside damage path and local PDI (damage identification using paths in the damage imaging regions) is performed in each damage imaging region. Finally,. multi-damage identification results are obtained by superimposing the. local damage imaging results and the. marked. cross damage paths. The method is employed to inspect the multi-damage in an aluminum plate with a surface-mounted piezoelectric ceramic sensors network. The results show that the. guide waves-based multi-damage identification method is capable of visualizing the presence, quantity. and location of. structural damage.