Digital Traceability and Lifecycle Performance of Bamboo-Based Construction Materials: Enhancing Durability and Circular Reuse through Smart Monitoring

Thu, 02 Jul 2026 00:00:00 +0800

This paper explores the role that traceability and the use of predictive analytics could play in improving the durability and reusability of bamboo-based building materials. In an effort to better understand the problem being solved, a web-based monitoring platform has been developed across bamboo building projects in Jordan leveraging the use of Internet of Things (IoT) technology, machine learning modelling algorithms, and a web-based dashboard. The data generated from the installed sensors was modelled using algorithms such as the Random Forest algorithm and the XG Boost algorithm. Additionally, interviews were done. Analysis revealed improved durability in the digitally traceable bamboo parts compared to the manually inspected parts through the increased residual strength of 9–12% and a life span of about three months. Introduction of environmental factors enabled the life span recalibration in the digital-twin system (R² = 0.89) compared to the previous predictions. Reuse circularity in the digital-twin platform improved as 62% of the components were categorized as high-reuse components. A combination of predictive intelligence and environmental analysis describes a replicable approach for the sustainable management of building materials in data-driven construction environments.

Journal of Building Material Science

Digital Traceability and Lifecycle Performance of Bamboo-Based Construction Materials: Enhancing Durability and Circular Reuse through Smart Monitoring