Professor David Wagg
BEng, PhD, CEng, FIMechE
School of Mechanical, Aerospace and Civil Engineering
School of Mechanical, Aerospace and Civil Engineering
Professor of Nonlinear Dynamics
Departmental Director of Research and Innovation
+44 114 222 0168
Full contact details
School of Mechanical, Aerospace and Civil Engineering
Sir Frederick Mappin Building
Mappin Street
91Ö±²¥
S1 3JD
- Profile
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David Wagg was awarded his BEng degree and PhD (at the Centre for Nonlinear Dynamics) from University College London. From 1998 until 2000 he was a postdoctoral researcher at the Earthquake Engineering Research Centre at the University of Bristol.
In 2000 he was appointed as a Lecturer in the Department of Mechanical Engineering at the University of Bristol and he became Professor there in 2008. From 2004-2009 he was an EPSRC Advanced Research Fellow. In July 2013 he moved to the University of 91Ö±²¥ to take up a chair in Nonlinear Dynamics.
Professor Wagg's research is focused on understanding and controlling nonlinear structural dynamics. He has published extensively in the topic area including the book Nonlinear Vibration with Control (Springer, 2015, 2nd Ed), which is one of the first to describe using nonlinear modelling and control for structural dynamics.
- Research interests
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The performance of engineering structures is governed by how well they behave in their operating environment. For a significant number of engineering sectors, such as wind/wave power generation, automotive, aerospace and large civil infrastructure, dynamic effects dominate the operational regime. As a result, understanding structural dynamics is crucial for ensuring that we have safe, reliable and efficient structures.
Professor Wagg's research is focused on understanding and controlling nonlinear structural dynamics. Nonlinearity occurs quite naturally in many applications, but despite this it has traditionally been avoided in the design of engineering systems.
However, the performance envelope for all engineering structures is being pushed in response to the urgent societal need to find technological solutions for global issues such as climate change, and as a result understanding and controlling nonlinearity is becoming increasingly important in many engineering applications. A current topical example is the dynamics of large wind turbines.
Current research activities include both fundamental and applied work on topics such as virtualisation, nonlinear resonance, semi-active damping, and the tuned-inerter-damper. Some of this relates to, so called, "digital twins", where data and models are combined to create a "virtual duplicate" of the structure of interest.
Much of Professor Wagg's research includes experimental testing and, in particular he has been involved in new developments of hybrid testing such as hardware-in-the-loop and real-time dynamic substructuring.Areas of research
- Digital twins for dynamics applications
- Nonlinear dynamics of flexible structures
- Vibration suppression and isolation systems
- Real-time hybrid testing
- Identification methods for nonlinear dynamics
- Structural control techniques
Research activities
- Co-Investigator for EPSRC grant on Causal Inference for Testing of Computational Models: CITCoM
- Principal Investigator for the EPSRC programme grant on Digital Twins for Dynamics: Digitwin
- Co-ordinator of the Marie Curie ETN on Dynamic Virtualisation: DyVirt
- Co-Investigator for an EPSRC Prosperity partnership with Siemens and Dong Energy
- Co-Investigator for the EPSRC & ERDF funded Laboratory for Verification and Validation (LVV) in 91Ö±²¥
- PI for the EPSRC programme grant on Engineering Nonlinearity 2012-2017
- Second edition of co-authored book Nonlinear vibrations with control published 2015
- Co-edited book: Exploiting Nonlinear Behaviour in Structural Dynamics published 2012
- Publications
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Books
Edited books
Journal articles
Chapters
Conference proceedings papers
∞ -control with state feedback of an inclined cable. 2013 European Control Conference, ECC 2013 (pp 2092-2097)
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Theses / Dissertations
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Presentations
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Preprints