TY - BOOK ID - 136633540 TI - Symmetry in Structural Health Monitoring AU - Yang, Yang AU - Lei, Ying AU - Meng, Xiaolin AU - Li, Jun PY - 2022 PB - Basel MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - real-time hybrid simulation KW - H∞ control KW - time delay KW - mixed sensitivity KW - structural health monitoring KW - deep learning KW - data anomaly detection KW - convolutional neural network KW - time–frequency extraction KW - micro inertial measurement unit (MIMU) KW - variational mode decomposition (VMD) KW - Hilbert–Huang transform (HHT) KW - frequency-domain integration approach (FDIA) KW - torsion angle calculation KW - offshore oil platform KW - self-anchored suspension bridge KW - cable clamp KW - slippage KW - force analysis KW - high formwork KW - ARMA KW - BPNN KW - stress trend prediction KW - crack detection KW - improved YOLOv4 KW - concrete surface KW - substructure shake table testing KW - integration algorithm KW - finite element method KW - damper KW - digital twin KW - prestressed steel structure KW - construction process KW - safety assessment KW - intelligent construction KW - structural health monitoring (SHM) KW - vibration KW - frequency domain KW - time domain KW - time-frequency domain KW - technical codes KW - multiple square loops (MSL)-string KW - seismic excitation KW - dynamic response KW - seismic pulse KW - near and far field KW - three-dimensional laser scanning KW - surface flatness of initial support of tunnel KW - curved surface fitting KW - flatness calculation datum KW - curvedcontinuous girder bridge KW - collision response KW - seismic mitigation KW - pounding mitigation and unseating prevention KW - heavy-duty vehicle KW - road KW - coupling model KW - terrestrial laser scanning KW - RGB KW - genetic algorithm KW - artificial neutral network UR - https://www.unicat.be/uniCat?func=search&query=sysid:136633540 AB - In this Special Issue on symmetry, we mainly discuss the application of symmetry in various structural health monitoring. For example, considering the health monitoring of a known structure, by obtaining the static or dynamic response of the structure, using different signal processing methods, including some advanced filtering methods, to remove the influence of environmental noise, and extract structural feature parameters to determine the safety of the structure. These damage diagnosis methods can also be effectively applied to various types of infrastructure and mechanical equipment. For this reason, the vibration control of various structures and the knowledge of random structure dynamics should be considered, which will promote the rapid development of the structural health monitoring. Among them, signal extraction and evaluation methods are also worthy of study. The improvement of signal acquisition instruments and acquisition methods improves the accuracy of data. A good evaluation method will help to correctly understand the performance with different types of infrastructure and mechanical equipment. ER -