Work

Transformative low-carbon 3D-printed infrastructure: Machine learning-driven self-sensing and self-heating limestone calcined clay cement (LC3) composites

Year: 2025

Type: article

Abstract: This study presents a systematic effort to develop a sustainable, multifunctional limestone calcined clay composite tailored for 3D-printed concrete construction (LC³-3DPCC), incorporating integrated self-sensing and self-heating capabilities. A targeted formulation strategy was adopted to predict and optimize the mix design using locally sourced clays, ensuring printability, scalability, and material consistency for large-scale applications. A dataset of 287 unique mix designs was generated and evaluated through comprehensive laboratory testing. The data were analyzed using both linear and nonlinear machine learning regression models. Among them, the Random Forest Regression model demonstrated the highest predictive accuracy for compressive strength, flexural strength, and yield stress, leading to the identification of an optimal formulation. To enhance multifunctionality, recycled carbon nanotubes (CNTs) were incorporated into the optimized LC³ -3DPCC matrix, resulting in improved self-sensing and self-heating performance. The enhanced composite achieved a compressive strength of 35 MPa, a flexural strength of 4 MPa, and a yield stress of 700 Pa, while maintaining high structural integrity and printability. Real-time structural monitoring under cyclic and monotonic loading was confirmed through piezo-resistivity-assisted digital image correlation analysis. The material also exhibited efficient Joule heating, reaching temperatures of 30°C, 60°C, and 80°C at applied currents of 0.5 A, 1.0 A, and 1.5 A, respectively—demonstrating its suitability for heating functions and cold-weather environments. Notably, interlayer bond strength increased by 52 % compared to the plain composite and by 121 % relative to the optimized clay-based 3DPCC. The CNT-modified composite retained 71 % of its compressive strength at 300°C and 44 % at 700°C, indicating excellent thermal durability. Microstructural analyses using X-ray computed tomography and thermogravimetric analysis (TGA) clarified mechanical isotropy and thermal stability improvement mechanisms. Collectively, these findings confirm that the proposed multifunctional LC³ -3DPCC is a promising candidate for scalable, sustainable, and net-zero construction, offering real-time monitoring and efficient self-heating functionalities. Future work should explore large-scale production, field deployment, and long-term performance. Supporting Python codes are provided in the Appendix (A) and supplementary materials.

Source: Construction and Building Materials

DOI: 10.1016/j.conbuildmat.2025.143123

Authors: Mohammadmahdi Abedi, Muhammad Bilal Waris, Mubarak Al-Alawi, Khalifa Al-Jabri

Institution: Sultan Qaboos University

Language: English

Topic: Innovations in Concrete and Construction Materials

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Responsible consumption and production, Sustainable cities and communities

Open Access status: hybrid

Estimated APC paid: $4,540