Lightweight and conformal acousto‐ultrasonic sensing network for multi‐scale structural health monitoring: A review
Year: 2024
Type: article
Abstract: Structural health monitoring (SHM) has been increasingly investigated for decades. Different physical principles have been developed for damage identification, such as electronics, mechanics, magnetics, etc., with different coverage (i.e., global, large‐area, and local monitoring) and sensitivity. Mechanical acousto‐ultrasonic‐based methods have formed a big family in SHM technologies. Multiple wave/resonance modes have been utilized for versatile SHM tasks. The permanently integrated sensing networks play a significant role in achieving a cost‐effective and reliable SHM system, with major concerns including weight increase for large‐scale deployment and conformity for complex geometry structures. In this review, typical acousto‐ultrasonic sensors made of different material systems are discussed, along with advantages and limitations. Moreover, advanced network installation methods have been introduced, including surface‐mounting with pre‐integrated networks on substrates and in situ printing, and embedding with composite layup and metal additive manufacturing. Sensor versatility and usage in multi‐scale SHM techniques are then highlighted. Different wave/resonance modes are transmitted and received with corresponding elements and network designs. In conclusion, this systematic review mainly covers a collection of acousto‐ultrasonic sensors, two modalities of network installation, and their employment with various SHM methods, hopefully providing a useful guide to building lightweight and conformal networks with passive or active‐passive sensors, and developing complete and reliable SHM strategies by integrating different damage identification methods on multiple scales.
Source: FlexMat.
DOI: 10.1002/flm2.35
Institutions: Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, University of Chinese Academy of Sciences, Guangdong Provincial Key Laboratory of Robotics and Intelligent Systems, Hong Kong Polytechnic University, China Special Equipment Inspection and Research Institute, Agency for Science, Technology and Research, Institute of Materials Research and Engineering
Language: English
Subfield: Mechanics of Materials
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
Funders: National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province, Aeronautical Science Foundation of China, Guangdong Science and Technology Department, Ningbo Municipal Bureau of Science and Technology, Science, Technology and Innovation Commission of Shenzhen Municipality, Basic and Applied Basic Research Foundation of Guangdong Province
OpenAlex ID: W4403767600
