Smart Materials for Control of Structural Dynamics
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Materials Science and Engineering".
Deadline for manuscript submissions: closed (20 October 2023) | Viewed by 7581
Special Issue Editors
Interests: finite element modeling; numerical modeling; signal processing; numerical analysis; structural analysis; finite element analysis
Special Issues, Collections and Topics in MDPI journals
Interests: sensing technologies; numerical modeling; damage detection; wave propagation; energy harvesting
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Problems related to controlling the dynamics of machines and devices have been a major engineering challenge for many decades. However, developments in the field of smart materials engineering have recently enabled these types of materials to be used in ways that can influence the dynamic behavior of objects. Various analytical, numerical, and experimental techniques have been used so far to understand the properties of smart materials. Therefore, it would be beneficial to gather in one place the latest achievements in the field of structural dynamics control through the use of smart materials.
It is our pleasure to invite you to submit a manuscript for this Special Issue covering the latest and most interesting research results from both the scientific and industrial societies. The aim of this issue is to provide the reader with a better understanding of the control of dynamic behavior of structural elements through the use of dedicated smart materials applications. This area of expertise may utilize analytical models, different numerical methods, as well as experimental approaches. We believe that experiences from research communities representing a wide area of engineering needs can satisfy a wide scientific audience.
Prof. Dr. Marek Krawczuk
Prof. Dr. Magdalena Palacz
Guest Editors
Manuscript Submission Information
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Keywords
- dynamic behavior
- numerical modeling
- mechanical parameters
- smart materials
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