Dr Andrea Cammarano
- Senior Lecturer (Systems Power & Energy)
I am senior lecturer in System Dynamics and I am part of the SPE group. I graduated from the University of Naples in Aerospace Engineering in 2006. After my degree I worked for two years in acoustics and noise reduction for Ansaldo Breda (high speed train V250) and Piaggio Aeronautica (P180 Avanti). During this period I nurtured my passion for research and I finally decided to continue my studies by joining the University of Bristol for a PhD. My PhD dissertation was titled "Increasing the bandwidth of vibration based Energy harvesters". During these years I developed an interest for nonlinear dynamical systems. After working for the university of Bristol on three projects on nonlinear dynamics, I was appointed as a lecturer in System Dynamics in January 2015.
My main research interests include system dynamics, with particular attention to nonlinear system dynamics and control, mathematics/numerical modeling and multi-physics systems.
My research in system dynamics mainly focuses on nonlinear dynamics and structural dynamics. In particular I am interested in explaining the complex behavior exhibited by nonlinear structures: nonlinear modes, modal interaction, harmonic and quasi periodic responses, bifurcations. Both simulation and identification of nonlinear systems are part of my research activities. My invesitgation of nonlinear phenonema involve both theoretical studies but also numerical modelling, validation and experimental testing.
Modeling and simulation
Mathematical and numerical tools are essential to investigate the dynamics of complex systems. These tools are key to understand and control the response of the engineering systems. A considerable part of my research is devoted to the development of analytical and numerical method to identify the characteristics of dynamical systems, predict their reponse and design adquate control strategies.
Multi-physics dynamical systems
In modern engineering the study of complex systems where several fields interact with one another has become fundamental. The need for a wiser use of resources calls for optimisation on all fronts, with tailored solutions that achive high efficiency and performace in an increasingly wider operational range and within the environment in which a system has to function. This is the drive for multi-physics research with multi-vector optimisation, a novel branch of system dynamics which can path the way to more sustainable and energy efficient solutions.
The MUFFINS project assembles a multidisciplinary team from Newcastle University, Imperial College London, Glasgow University, industrial partners including BP, Chevron, TOTAL and TechnipFMC, who are members of the Transient Multiphase Flow and Flow Assurance Consortium (TMF), Wood, Xodus, Orcina and TNO in the Netherlands, and an academic partner, the National University of Singapore, to develop the next generation of pioneering technologies and cost-efficient tools for the safe, reliable and real-life designs of subsea systems, such as flowlines, pipelines, risers, jumpers and manifolds, transporting multiphase hydrocarbon liquid-gas flows and subject to internal/external hydrodynamic excitations.
This project brings together unique expertise in Computational and Experimental Fluid Dynamics, Model Reduction and Artificial Intelligence, to identify solutions for the management of people and spaces in the current pandemic and post lockdown.
A new interactive tool is proposed that evaluates the risk of infection in the indoor environment from droplets and aerosols generated when breathing, talking, coughing and sneezing. This capability will become more critical as winter approaches and building ventilation will need to be limited for comfort considerations. The fluid dynamic behaviour of droplets and aerosols, the effect of using face masks as well as other parameters such as room volume, ventilation and number of occupants are considered. A datahub capable of storing, curating and managing heterogeneous data from sources internal and external to the project will be created. A synergetic experimental and numerical approach will be undertaken. These will complement the existing literature and data from other EPSRC-funded projects providing suitable datasets with adequate resolution in time and space for all the relevant features. To support experiments and numerical simulations, reduced order models capable of interpolating and extrapolating the scenarios collected in the database will be used. This will permit the estimation of droplet and aerosol concentrations and distributions in unknown scenarios at low-computational cost, in near real-time. A state-of-the-art AI-based framework, incorporating descriptive, predictive and prescriptive techniques will extract the knowledge from the data and drive the decision-making process and provide in near real-time the assessment of risk levels.
GALLANT's vision is to develop whole-systems solutions for a just and sustainable transition delivered at the city scale. Corporate and political leaders are committing to carbon neutrality locally and globally, often without detailed strategies in place or coordination. This will likely lead to delays and suboptimal outcomes when we need rapid, impactful transformation. Cities are increasingly seen as drivers of a carbon neutral future (e.g., Carbon Neutral City Alliance) because through shared policy and knowledge exchange it is possible for successful action in one city to be adopted by others, creating scalable and rapid change. Glasgow is a model city to lead innovation because it has the UK's most ambitious carbon neutrality target of 2030; has challenging social and environmental inequities that will need to co-benefit from proposed solutions; and is due to host COP26 in 2021. Making meaningful, lasting change requires a commitment to the environment that embeds sustainability across major policy decisions and empowers communities as stewards of their local places. In GALLANT, we seek to work with local partners and communities to transform the city into a thriving place for people and nature. Our overarching goal is to implement a systems-based science approach to solve five environmental problems that will accelerate Glasgow's ability to adapt to and manage climate change. The approach integrates natural science and social science disciplines, putting data at the heart of decision-making. We will create the Glasgow Living Lab, delivering a framework that will be readily deployable to solve emerging environmental problems that show how academic, public and private sectors can act together to make progress. The five environmental solutions that we have prioritised with Glasgow City Council are: 1. Working to transform urban river-edge land-use governance to create functional floodplains and new accessible green spaces for community use. 2. Working to deliver biodiversity benefits from green infrastructure throughout Glasgow, restoring and connecting habitats using nature-based solutions, and matching ecosystem service demand with provision. 3. Working to turn vacant, derelict, and polluted land into spaces for carbon sequestration and pollution remediation that can be returned to communities in line with local needs. 4. Working to make the most of current and planned infrastructure by understanding community perceptions of active and safe travel, use these to increase inclusive urban active travel and mobility improving air quality and reducing CO2 emissions . 5. Working to maximise the value of Glasgow green-blue-grey spaces as a Smart Local Energy System that bring heat to some of the most deprived areas of Glasgow.
Alexander Elliot (Graduated)
Greame Hunt (Graduated)
Loisious Christodoulou (Graduated)