<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-07-08T08:44:08Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/1F7E2066-A089-4A99-8E8D-BAA85E6F1620" ns1:id="1F7E2066-A089-4A99-8E8D-BAA85E6F1620"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/7BD7D0DA-C696-489D-8751-A4B3272A4765" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/0E53E0E4-3B27-438C-AF07-2D99A807D118" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/8E38A887-3CD8-49FD-87E5-A1844E81B9CF" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/B3D759FF-F1BF-4184-A582-944EA26ADDB7" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/7BD7D0DA-C696-489D-8751-A4B3272A4765" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/D9E2F69B-E694-49DC-B660-E0AA6C7A28E8" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2013-04-29T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/19D04E8F-C437-4798-AD94-23735DE1943E" ns1:rel="FUND" ns1:start="2009-04-30T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">110032</ns2:identifier></ns2:identifiers><ns2:title>SILOET Project 3 - Integrated Decision: Support Systems</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>BEIS-Funded Programmes</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>Integrated Decision Support Systems
The multi-physics simulations of detailed phenomena need to be coupled together into design and analysis systems capable of simulating product sub-systems and ultimately whole engines at variable levels of fidelity. Key enablers of this goal addressed in this project are: Coupling between models of differing fidelity; Integration of CFD and thermo-mechanical models; Effective use of high performance and massively parallel computing; Understanding and simulation of complex systems. The key Integrated Decision Support System capabilities developed by this project will address the innovations required to improve New Product Introduction (NPI) performance.</ns2:abstractText></ns2:project>