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Reuse of Sandwich Panels: From Circular Ambition to Technical Feasibility

  • digimatria
  • Mar 3
  • 2 min read

Steel-faced sandwich panels are widely used in façades and roofs of industrial and logistics buildings. Despite their high embedded value, most of these elements are discarded when buildings are adapted or renovated.


The central question of our study was simple:

What is required to make sandwich panel reuse viable at scale?

🔗 Read the full paper (MDPI): https://www.mdpi.com/2071-1050/18/5/2454


🎧 Podcast:

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Graphical Abstract - Enabling Circular Reuse of Sandwich Panels
Graphical Abstract - Enabling Circular Reuse of Sandwich Panels

Urban Metabolism and Circular Opportunity


From an urban metabolism perspective, we analysed the installed stock of sandwich panels in Portugal, Spain, and France. The results indicate a significant volume of material approaching the end of its first service cycle.


In theory, these panels are strong candidates for the circular economy:

  • they are modular

  • they contain a high steel content

  • many replacements occur before technical failure


In practice, however, reuse remains limited due to:

  • dismantling damage

  • lack of condition data

  • technical and liability uncertainty


The core issue is lack of trust in the secondary market.


An Integrated Approach


To address this challenge, we developed a workflow combining:

  • controlled façade recovery

  • UAV inspection

  • deep learning–based damage detection

  • BIM-linked material passports

  • LCC and LCA analysis


The objective was to transform dismantled panels into technically verifiable assets.


Handling Strategy Matters


One of the most relevant findings was the comparison between two dismantling strategies.


The integrated lifting system showed:

  • five times more mechanical damage

  • longer operational times

  • higher control complexity


This demonstrates that circularity starts on site: recovery quality strongly depends on handling logic.


UAV Inspection and Damage Quantification


A UAV-based inspection system combined with Mask R-CNN segmentation was implemented to detect and localise defects.


The method enabled:

  • 3D damage mapping

  • affected area quantification

  • panel-level attribution of results


In the pilot, 4,845.90 cm² of mechanical damage were identified across 10 panels.


More important than the absolute value was the creation of auditable and comparable condition data.


Material Passport: From Scrap to Asset


Inspection outputs were integrated into a BIM-linked digital material passport.


Each panel includes:

  • declared product properties

  • condition indicators

  • environmental metrics (GWP)

  • reuse decision support


This approach directly reduces the information asymmetry that currently blocks the market.


What the Market Says


The stakeholder study revealed a clear pattern:

  • high risk aversion

  • preference for certified solutions

  • price alone does not unlock reuse


The conclusion is unequivocal:

Without verifiable technical data, there will be no robust second-hand market.

Conclusion


The reuse of sandwich panels is technically feasible, but it requires more than good intentions. It demands:

  • high-quality recovery

  • robust digital inspection

  • interoperable material passports

  • market trust frameworks


The combination of UAV, deep learning, and BIM demonstrates a viable pathway to transform potential waste into circular resources.

 
 
 

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