This repository collects code and documentation produced in the USARIS project (Uncertainty quantification and sensitivity analysis for resilient infrastructure systems) funded under the DAFNI Centre of Excellence for Resilient Infrastructure Analysis (UKRI Building a Secure and Resilient World programme - grant number ST/Y003713/1)
Project Description
Computational modelling provides a vital tool to support infrastructure decisions, allowing to evaluate risks and benefits of different infrastructure options on a virtual system (or digital twin) before committing to a particular design. Model outputs though are conditional on a range of uncertain assumptions and input data, due to our incomplete or imperfect knowledge of the drivers and the properties of the system being modelled, and irreducible uncertainty about how those drivers and properties may evolve in the future. Uncertainty Quantification and Sensitivity Analysis (UQ&SA) is a set of generic methods that can be used to analyse the propagation of uncertainties in model and thus improve the model's construction, validation, and use for decision-making under uncertainty. UQ&SA are "model-agnostic" methodologies, meaning that they are applicable to any mathematical model regardless of the specific application domain. The goal of this project is to set the foundations for integrating UQ&SA functionalities in the DAFNI platform, the UK Data & Analytics Facility for National Infrastructure (https://www.dafni.ac.uk/). Ultimately the project will contribute to enable and promote best practices for responsible modelling in the DAFNI users community.
Project Webpage
Information contained in repository
This repository has two main types of information, in the DAFNI folder are examples of water and energy models which can be uploaded to the DAFNI platform to carry out sensitivity analysis. In the main repo is the code to reproduce the workflow from the 'Uncertainty quantification and attribution for resilient infrastructure systems' paper submitted to Climate Resilience and Sustainability using the binder below:
This code can also be downloaded and run locally.