<?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="2026-06-22T07:57:45Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/98F20F49-3B73-46C8-9E8A-5EDDC6CDE6C5" ns1:id="98F20F49-3B73-46C8-9E8A-5EDDC6CDE6C5"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/B2009F60-5304-4CC3-80AA-D1531DB6F8D4" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/0F968059-8F39-4FCE-96FC-0899B75FFA3B" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/0F968059-8F39-4FCE-96FC-0899B75FFA3B" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/3E9A8AA6-E209-4E6A-9195-AE7474199C56" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2020-10-31T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/BB069F25-1F5C-43CA-9B31-5137DEEF1761" ns1:rel="FUND" ns1:start="2019-02-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">104800</ns2:identifier></ns2:identifiers><ns2:title>CORE (Concrete curing prediction and schedule Optimisation for Resource Efficiency)</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Collaborative R&amp;D</ns2:grantCategory><ns2:leadFunder>ISCF</ns2:leadFunder><ns2:abstractText>&amp;quot;**Challenge** - Understanding and accurately predicting concrete curing time is critical to construction projects as curing dictates subsequent build and fitting activity. But concrete curing time cannot be predicted given site-specific complex variables and human error. This results in time wastage, fines and poor productivity.

**Project** -- CORE will allow Converge and BAM Nuttall to develop technology to improve construction productivity.&amp;quot;</ns2:abstractText></ns2:project>