Machine Learning in Structural Dynamic Analysis and Health Monitoring
A special issue of Applied Mechanics (ISSN 2673-3161).
Deadline for manuscript submissions: closed (7 May 2021) | Viewed by 1492
Special Issue Editors
Interests: structural health monitoring; damage identification; bridge optimization; model updating; fracture mechanics
Special Issues, Collections and Topics in MDPI journals
Interests: vibration; damage detection; signal analysis; structural engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue aims to summarize the recent advances in machine-learning-based structural dynamic analysis and structural health monitoring (SHM), considering the various approaches that have been developed and put forward for application in health monitoring and periodic inspection in civil, mechanical and aerospace engineering. Numerical analysis has also experienced rapid development for use in structural dynamic analysis, such as in the case of genetic-algorithm-based structural dynamic optimization. This Special Issue also welcomes investigations on algorithm development, deep learning, signal processing, data management and so on. High-quality investigations regarding machine learning based SHM and damage identification are encouraged, as are reviews summarizing advances over recent years.
Prof. Dr. Yun Lai Zhou
Prof. Dr. Gilbert-Rainer Gillich
Guest Editors
Manuscript Submission Information
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Keywords
- machine learning
- deep learning
- structural health monitoring
- data processing
- data management
- noise filtering approaches
- temperature effect
- isogeometric analysis
- boundary element analysis
- model updating
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