In 2020, European countries generated 807 mln tons of construction and demolition waste (CDW), accounting for 37.5% of total waste production. The UE Waste Framework Directive of 2008 established as a priority goal to increase the percentage of reuse, recycling and recovery of nonhazardous construction waste to a minimum of 70% by 2020. Pending the report that will define compliance with this goal, the average percentage currently stands at around 50%, of which only 3% involves upcycling operations. This doctoral research defines an operational methodology aimed at implementing digital processes for circularity in the AEC sector, with a focus on post-earthquake emergency Italian contexts. The treatment of CDW in earthquake-affected areas for the purpose of recovery/reuse, in a perspective of circularity, represents an underexplored field and limited, as in the rest of UE, to downcycling operations. By defining planning strategies and digital tools and procedures, the research aims to facilitate the reuse of building elements from post-earthquake demolition and reconstruction operations. The final output of the research consists of a cloud database, a Digital Material Bank (DMB), of informed building elements from post-earthquake selective demolition operations that can be reused in the construction market as a secondary raw material. The CDW management of the 2016 Central Italy earthquake is identified as the scope of application, with a focus on the situation in the Marche region. Finally, the main limitations and possible future scenarios of the research are reported.

Post-disaster reconstruction remains largely excluded from circular-economy approaches. This gap is particularly evident in earthquake-affected inner territories, where reconstruction is constrained by severe logistical challenges—especially in relation to rubble management—and where debris is often composed of materials closely tied to local building cultures and community identities. In these contexts, rebuilding still predominantly follows linear, emergency-driven models that treat rubble primarily as waste. This study introduces Rubble as a Material Bank (RMB), a digital–material framework that reconceptualises earthquake rubble as a traceable and programmable resource for circular reconstruction. RMB defines a rubble-to-component chain that integrates material characterisation, data-driven management, robotic fabrication, and reversible architectural design. Selected downstream segments of this chain are experimentally validated through the TRAP project, developed within the European TARGET-X programme. The experimentation focuses on extrusion-based fabrication of dry-assembled wall components using rubble-derived aggregates. The results indicate that digitally governed workflows can enable material reuse, while also revealing technical and regulatory constraints that currently limit large-scale implementation.

Post-disaster reconstruction remains largely excluded from circular-economy ap-proaches. This gap is particularly evident in earthquake-affected inner territories, where reconstruction faces severe logistical constraints—especially rubble manage-ment—and where debris is often composed of materials closely tied to local building cultures and community identities. In these contexts, rebuilding still follows linear, emergency-driven models that treat rubble primarily as waste. This study introduces Rubble as a Material Bank (RMB), a digital–material framework that reconceptualises earthquake rubble as a traceable and programmable resource for circular reconstruc-tion. RMB defines a rubble-to-component chain integrating material characterisation, data-driven management, robotic fabrication, and reversible architectural design. Se-lected downstream segments are experimentally validated through the TRAP project, developed within the European TARGET-X program. The experimentation focuses on extrusion-based fabrication of dry-assembled wall components using rubble-derived aggregates. Results show that digitally governed workflows can enable material reuse while revealing technical and regulatory constraints on large-scale implementation.