Unconventional Seminar Series
The Unconventional Seminar Series (USS) are online seminars which aim at engaging the research communities in Structural Health Monitoring, Structural Dynamics and Uncertainty Quantification through seminars with an unconventional format.
Each event has a total duration of about 90 minutes max and is composed by two parts:
Part 1 - presentation 20 minutes + 10 minutes live questions
The Principal Investigator of a group presents their group research vision, current research challenges being addressed and key research outcomes. This talk focuses on the "Why" and "What".Part 2- presentation 30 minutes + 10 minutes live questions
An Early Career Researcher (PhD/Research Associate/Postdoc) of the same group presents how they addressed (or are addressing) one of the research challenges. This is a talk focusing on "How" the specific research approach works and its implementation.
The hope is to stimulate active discussions on both high level research directions and technical details, which we believe would particularly benefit early career researchers.
The USS will be arranged on ZOOM on Thursdays at 4pm (GMT+1, local time Amsterdam). These seminars won’t be recorded - unless the speaker wants to.
The seminars are introduced and moderated by Dr Cicirello.
#SHM #Useminar #SystemIdentification #structuraldynamics #vibroAcoustics #Machine_learning #UQ #datadriven #hybrid_SHM #Nonlinear_Dynamics #Reduced_order_models #Gaussian__Process #structuralmechanics #digitaltwins
The seminars are free and everybody is welcome! No registration to the seminar is required!
During 2021 no seminars were arranged planned because of other great online events happening that we strongly recommend checking out:
Virtual Conference on Epistemic Uncertainty in Engineering (ViCE) Feb -April 2021 - note that videos of previous talks are available on the ViCE website!
Unconventional Seminar Series schedule (last updated on 3/12/2020)
New schedule will appear in 2021!
Past seminars
please note that some videos of the seminars are available and can be found below!
please note that some videos of the seminars are available and can be found below!
Seminar 1, 11 June 2020, 4pm (GMT+1, local time Amsterdam)
Talk 1: Towards the efficient design and manufacturing of lightweight structures with favorable vibro-acoustic properties
Talk 2: Design, analysis and experimental validation of a gradient-based periodic composite structure for broadband, wide angle of incidence absorption enhancement
Assistant Professor at KU Leuven
Mechanical Engineering Technology, Diepenbeek Campus
PhD Student/ESR in the PBNv2 project
Seminar 2, 18 June 2020, 4pm (GMT+1, local time Amsterdam)
Talk 1: Machine Learning for Engineering Applications
Talk 2: Gaussian Process in non-Gaussian likelihood regression and the data association problems
Senior Lecturer at the University of Liverpool
Mechanical, Materials & Aerospace Eng
PhD student
Seminar 3, 25 June 2020, 4pm (GMT+1, local time Amsterdam)
Talk 1: Nonlinear Identification: Towards Large Scale Systems
Talk 2: : Robust Nonlinear State Space Identification using Deep Encoder Neural Networks
Talk 2: : Robust Nonlinear State Space Identification using Deep Encoder Neural Networks
Assistant Professor at Eindhoven University of Technology
Department of Electrical Engineering
PhD student
Seminar 4, 2 July 2020, 4pm (GMT+1, local time Amsterdam)
Talk 1: Shifting the assessment paradigm: from inanimate to self-aware infrastructures
Talk 2: Coupling Bayesian filtering with Reduced Order Modeling for Virtualization
The recordings of these seminars can be found here: https://chatzi.ibk.ethz.ch/smm-news/2020/07/unconventional-seminar-series.html
Associate Professor at ETH ZĂĽrich
Seminar 5, 9 July 2020, 4pm (GMT+1, local time Amsterdam)
Talk 1: Grey-box models: Putting some physics back into machine learning models for structural health monitoring
Talk 2: Constraining Gaussian Processes for Grey-Box Damage Localisation
Building physical insight into machine learning algorithms offers the ability to enhance inference capabilities of traditional black-box methods. This talk will investigate how a Gaussian Process framework for localising damage can be constrained, allowing knowledge of a structure’s boundary conditions to be incorporated into the model. A number of cases where the integration of physical knowledge returns an improved performance will then be explored, demonstrating the benefit of taking a grey-box approach.
Professor at the University of Sheffield
Department of Mechanical Engineering
19 November, 4pm (GMT+1, local time Amsterdam)
Talk 1: Using Digital twin for improve safety: challenges and opportunities
slides available here: https://www.dropbox.com/s/z5xxv0leuv2hwit/EP_DigitalTwin_challenges_opportunity.pdf?dl=0
Talk 2: A structured approach for quantitative assessment of critical infrastructure resilience
Professor at the University of Strathclyde
Centre for Intelligent Infrastructure
Research Associate at the University of Liverpool
26 November, 4pm (GMT+1, local time Amsterdam)
Talk 1: Computational Vibration applied to Aircraft Engines
High Level of Vibration in Aircraft Engines can cause the failure of the whole engine which can lead to disaster. It is necessary to develop accurate methods that permits to predict the risks of vibration during the design process. Experimental test of vibration for a full scale engine is very expensive and it will be interesting to be able to validate and certify most of the design choices using computational methods. In this talk we will introduce the approaches we have been developing for more than 10 years to model vibration in complex structures. The approach relies on accurate and efficient numerical methods for vibration analysis of large scale model. Challenges, success and new trends of computational vibration will be presented.
Talk 2: Non-Intrusive reduced order modelling of geometrically nonlinear finite elements structures: Direct computation of invariant manifold via normal form
The increase of flexible and lightweight structures in modern mechanical design, motivates the development of accurate, yet efficient, numerical methods which can model the geometric nonlinear behaviour of such structures as they experience large amplitude vibration. Being full order models of geometrically nonlinear structures computationally expensive, reduced-order modelling has recently attracted a large amount of attention in the engineering community. Normal form approach applied to nonlinear vibratory systems defines a nonlinear mapping from modal coordinates to normal coordinates which span the invariant manifolds of the system, thus allowing one to derive efficient reduced-order models. In the context of finite element structures, the drawback of this approach is the need to compute the complete basis of all possible linear modes of the system. In this talk, we will propose a direct method to compute the coefficients of the normal form and the reduced-order models without the need of prior computation of the modal basis. The method computes the nonlinear modes of a structure with an exact formulation up to the third order directly from the system in physical coordinates. Moreover, its non-intrusive implementation is possible in any finite element software. The results provided by the direct normal form method will be compared to those obtained with another non-intrusive and direct method, the quadratic manifold method, and advantages and limitations will be discussed.
Relevant papers:
https://link.springer.com/article/10.1007/s00466-020-01902-5
https://link.springer.com/article/10.1007/s11071-020-05813-1
Research Fellow at Imperial College London in the Rolls-Royce Vibration UTC
Department of Mechanical Engineering
Research Associate
3 December, 4:30pm (GMT+1, local time Amsterdam)
Talk 1: Sound insulation: from test based design to numerical optimization
The acoustic development of building systems is usually based on general design rules and many experimental prototype tests. This is costly and time consuming, and leads to suboptimal designs. This talk provides an overview of some recent research efforts that aim at an efficient yet sufficiently accurate numerical prediction framework for the acoustic design of building systems, which takes all relevant uncertainties into account and which opens the way for design optimization.
Talk 2: Structural health monitoring based on operational modal analysis from long gauge dynamic strain measurements
Vibration-Based Monitoring (VBM) is a non-destructive method for structural damage identification and condition assessment. Natural frequencies and mode shapes are probably the most commonly used modal characteristics in VBM applications. However, they can exhibit a low sensitivity to certain types of damage while the sensitivity of natural frequencies to environmental influences may be sufficiently high to completely mask the effect of even severe damage. Modal strains are a promising alternative for damage identification and their use for VBM applications is explored in this research. Fiber-optic Bragg gratings (FBG) are used to measure the dynamic strains of the tested structures from which the modal strains can be obtained. The damage detection and localization capabilities of the modal strains and of related quantities that are directly obtained from them, such as neutral axis positions, are investigated through operational modal analyses on prestressed concrete beams that are subjected to progressive damage tests. It is demonstrated that the cracks that are induced in the beams by the progressive damage tests do have a clear and local influence on the strain mode shapes and neutral axis positions, even at low damage levels. Furthermore, experimental investigations are conducted in laboratory and on a railway bridge to identify also the influence of temperature on modal strains.
Assistant Professor at the University of Leuven (KU Leuven)
Department of Civil Engineering, Structural Mechanics Section
Postdoctoral Researcher