Innovation Exchange Challenge: DfE + Innovate UK Pre-demolition Data Capture and Analysis

Scope as published

The education estate comprises approximately 69,000 buildings across more than 22,000 schools and colleges in England. It includes a range of construction types and structural components, many of which are concealed while buildings are in use. DfE continuously seeks to improve its understanding of construction materials and structural arrangements used in school and college buildings. This is essential as these buildings age, have increasing maintenance requirements and will be impacted by climate change. DfE uses this knowledge to prioritise investment in the estate, inform policy and project-specific decisions,and ensure interventions such as retrofit, renewal or rebuilding are appropriately targeted. It also supports the review and development of reliable and proportionate guidance for those responsible for operating educational buildings. Buildings due for demolition through the Schools Rebuilding Programme (SRP) offer a rich source of informationas they are typically included in the programme because of safety issues or severe condition need, including structural defects. Immediately prior to demolition, finishes and fixtures are often removed as part of the ‘softstrip’, exposing large areas of the load bearing structure that would normally remain concealed in an operational school because of the disruption of intrusive investigations. At present there is no systematic programme to capture and analyse information on the final structural condition of these buildings. This challenge seeks to establish a way to do this with minimal impact to the cost and programme of project delivery. Further information on the School Rebuilding Programme (SRP) can be found here: https://www.gov.uk/government/publications/school-rebuilding-programme The Challenge Through Innovate UK, DfE are seeking scalable and cost-effective digital tools and methodologies to capture structural condition data immediately before demolition and analyse it to identify trends in defects across different construction types and structural arrangements in the education estate. This may be answered as discrete or a complete solution: 1: Data capturing and interpretation and 2: Analysis to identify trends across different construction types and structural arrangements. Applicants shall demonstrate how their proposals can capture structural condition data during a short pre-demolition window and analyse it to give reliable, engineering-based insights into structural defects, deterioration patterns and structural risks. Challenge responses should explain how data will be captured efficiently and safely and how technologies or automated methodologies, will be used to interpret it and then analyse it to inform the overall structural condition. Successful data capture and interpretation will be able to identify the different deterioration that can occur for the various structural elements and materials used for historic school construction. Successful analysis approaches should be capable of identifying common patterns or trends in visible defects and signs of deterioration across different buildings and correlate these to the construction materials and structural systems present. Responses should also explain the interoperability between data capture and analysis tools and how data and analysis outputs can be ingested into DfE’s Common Data Environment (CDE). The typical range of material systems used for structural elements is: - Structural steel (welded, bolted, rivetted) - Structural timber, including trusses - Reinforced concrete (Excluding RAAC, reinforced aerated autoclaved concrete, which will have been captured by separate pre-assessment) - Masonry (brickwork and blockwork), solid or cavity with wall ties. The range of structural elements is expected to include but may not be limited to: - Ground slabs: Reinforced concrete - Columns and beams and stabilising elements (braces): Steel, Reinforced concrete, masonry, timber - Roof Framing (trusses and lattices): St…

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