Prof. Dr.ir. D.L. Schott
Prof. Dr.ir. D.L. Schott
Profiel
Biografie
Dingena Schott is full professor Machine Cargo Interaction Engineering at TU Delft's department of Maritime and Transport Technology. She obtained her PhD in 2004 from Delft University of Technology on the homogenisation of bulk materials in mammoth silos. She is fascinated by the complex behaviour of granular materials and the interaction with equipment operating in a logistic context. In 2007 she started the GranChaMlab@TUDelft to characterize, model, calibrate and validate granular materials for enabling simulation supported design for cargo handling equipment on an industrial scale. Since then she has worked on developing calibration frameworks, and modelling particle based systems in various design contexts; including terminal designs for particulate materials, as well as an award winning new grab design. Her main research interests include: machine-cargo interfaces, simulation supported design, biomass materials and energy transition driven handling and logistics.
Since 2019, Schott has been appointed Director of Studies of the interfaculty MSc program Transport, Infrastructure and Logistics, and she is working on further strengthening the cohesion between research and education. She has led the faculty-wide initiative FAME (Focus Areas Mechanical Engineering) for the repositioning of research within the Mechanical Engineering faculty. In addition, Schott has been an active member of the DEWIS platform for many years, a network within TU Delft that connects and inspires female scientists.
Publicaties
Links
Expertise
Publicaties
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2025
Optimization of operational parameters in the mechanochemical regeneration of sodium borohydride (NaBH4)
Santiago Garrido Nuñez / Dingena L. Schott / Johan T. Padding
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2024
A framework for risk assessment of ammonia storage and bunkering at ports
W. Qu / M.B. Duinkerken / D.L. Schott
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2024
A metamaterial-based interface for the structural resonance shielding of impact-driven offshore monopiles
Ana Carolina Azevedo Vasconcelos / Sabiju Valiya Valappil / Dingena Schott / Jovana Jovanova / Alejandro M. Aragón
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2024
A software-agnostic benchmark for DEM simulation of cohesive and non-cohesive materials
M. Javad Mohajeri / Corné Coetzee / Dingena L. Schott
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2024
Adaptive AI-based surrogate modelling via transfer learning for DEM simulation of multi-component segregation
A.H. Hadi / M. Moradi / Y. Pang / D.L. Schott
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Media
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2019-10-01
Nemag and TU Delft design innovative grab for faster unloading
Nevenwerkzaamheden
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2023-08-31 - 2025-10-01