Reducing Carbon Emissions In Concrete
Abstract
Concrete is the 2nd most used global material (after water) and accounts for 8% of the global carbon emission.
Problem
Development of new low carbon emission concrete requires novel materials in the mix (formulation). The objective is toachieve a significant reduction (>20%) without compromising performance (i.e. compressive strength, hydration time, durability, processability) and cost.
Process Problem
Long experimentation cycles - every cycle takes months. Furthermore, R&D teams need to collect the scattered data of chemical composition of minerals and additives, develop and adjust concrete formulations, and collect experimental results multiple times across the experiment cycles.
Unusable Data
Chemical compositions of supplied materials are measured by XRF and delivered as CoA in PDF formats or even in paper. Formulations are managed by pen and paper notebooks. Sometimes this data is managed in excel.
Data Consolidation (connect, ingest, structure & enhance)
Digitizing and organizing the chemical composition, formulations, properties and performance parameters of the various components into a unified Materials Knowledge Center.
The Visual Analyzer
The Visual Analyzer multi-dimensional cross-correlation analysis allows a smart selection of a set of materials with the best formulation performance.
Predictive Co-Pilot
Predictive Co-pilot recommends only formulations with minimum required compressive strength (e.g. at day 90), while composed with low carbon footprint ingredients that meet the objective.
