A significant portion of our built environment comprises masonry structures, which are ageing and vulnerable to earthquakes, vibrations as well as settlement-induced damage. Failure of such structures can often be sudden and brittle, leading to significant life and economic losses. Accurate analysis and assessment of these structures is imperative in order to gauge their vulnerability to collapse and facilitate timely interventions if needed. In practice, analysis of such structures is typically conducted using analytical (code-based) assessment methods. However, such methods can be oversimplified and conservative, and consequently lead to expensive and at times unnecessary intervention measures. Alternatively, such structures could be analysed using more detailed numerical modelling tools such as finite element models (FEM) or discrete element methods (DEM). However such tools tend to be computationally expensive and time-consuming, especially when trying to model collapse of larger-scale structural assemblies.
In this project, you will focus on bridging the gap between accuracy and efficiency through the development of novel, computationally-efficient strategies for the numerical modelling of masonry structures subjected to seismic, settlement and/or transient loading. Additionally, you will work on the development and implementation of new constitutive models to more realistically model quasi-brittle failure of such structures within the computational modelling framework. The robustness of the developed approaches will be tested through implementation in different computational modelling software (i.e. FEM vs DEM), as well as through application to the assessment of case studies within the Netherlands. The ultimate objective would be to create novel, practice-oriented modelling tools which can rapidly be utilised by engineers in the field for the seismic and stability assessment of masonry constructions.
Similar Positions
-
Ph D Position: Understanding The Influence Of Grain Morphology And Mesostructure On The Initiation And Runout Of Submarine La..., University of Twente (UT), Netherlands, 28 days ago
26 Mar 2024 Job Information Organisation/Company University of Twente (UT) Research Field Technology Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 15 Apr ...
-
Phd Position In Geology/Geophysics, NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU, Norway, 15 days ago
6 Apr 2024 Job Information Organisation/Company NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU Research Field Environmental science Geosciences Researcher Profile Recognised Researcher (R2) F...
-
Ph D Position Physics Informed Machine Learning For Metamodeling Equipment Performance On Industrial Scale, Delft University of Technology (TU Delft), Netherlands, 20 days ago
3 Apr 2024 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Technology Researcher Profile First Stage Researcher (R1) Country Netherlands Application D...
-
Ph D Position In Geology/Geophysics So Iv 31/24, NTNU Norwegian University of Science and Technology, Norway, 19 days ago
4 Apr 2024 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Geoscience and Petroleum Research Field Environmental science » Earth s...
-
Ph D Position In Geology/Geophysics So Iv 31/24 , NTNU - Norwegian University of Science and Technology, Norway, 1 day ago
1st July 2024 Languages English English English The Department of Geoscience and Petroleum has a vacancy for a PhD position in Geology/Geophysics - SO IV-31/24 Apply for this job See advertisement...
-
Ph D Position Physics Informed Machine Learning For Metamodeling Equipment Performance On Industrial Scale, Delft University of Technology, Netherlands, 1 day ago
Get ready for DEM and metamodel based design optimisation! For the handling of granular materials, DEM models have been of value in supporting the design of bulk handling equipment in many ways. T...