Work

Sensor data-driven decision support system for real-time optimization and impact assessment in concrete construction

Year: 2025

Type: article

Abstract: This paper introduces a sensor data-driven decision support system for calculating both economic and environmental impacts of implementing the maturity method. The system integrates data from wireless temperature sensors embedded in concrete with a four-phase workflow and a dedicated Impact Assessment Methodology (IAM). This combination enables construction teams to assess both economic and environmental impacts of early-age concrete behaviour, supporting decisions such as formwork removal timing or concrete mix adjustment. The proposed methodology was applied to a real-world viaduct construction project involving 691 m 3 of concrete and 50 wireless sensors. The results demonstrated significant optimization potential compared with the standard method, including cost savings of 48.15 €/m 3 , 1.59 kg CO₂-eq/m 3 of avoided emissions, and a reduction of 0.031 m 3 of water per cubic meter of concrete. The system provides a transparent and replicable framework with potential applicability to a wide range of construction contexts, from building projects to large-scale infrastructure works.

Source: Automation in Construction

DOI: 10.1016/j.autcon.2025.106685

Authors: David Boix-Cots, Tai Ikumi, Nikola Tošić, Albert de la Fuente

Institution: Universitat Politècnica de Catalunya

Language: English

Topic: BIM and Construction Integration

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

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

Open Access status: hybrid

Estimated APC paid: $5,490