The modern world is built with concrete: . Yet cement, the key component of concrete, is the source of as much as 10% of all carbon dioxide emissions worldwide.
To address this problem, researchers at the 91探花 and Microsoft developed a new type of low-carbon concrete by mixing dried, powdered seaweed with cement. The seaweed-fortified cement has a 21% lower global warming potential while retaining its strength. And thanks to an assist from machine learning models, the team arrived at this new formulation in a fraction of the time that such work would ordinarily take.
July 8 in Matter.
鈥淐ement is everywhere 鈥� it鈥檚 the backbone of modern infrastructure 鈥� but it comes with a huge climate cost,鈥� said senior author , a 91探花assistant professor of materials science and engineering. 鈥淲hat makes this work exciting is that we show how an abundant, photosynthetic material like green seaweed can be incorporated into cement to cut emissions, without the need for costly processing or sacrificing performance.鈥�
Producing one kilogram of cement emits nearly a kilogram of CO2. Most of those emissions come from the fossil fuels used to heat raw materials and from a chemical reaction called calcination that occurs during the production process. Seaweed, in contrast, is a carbon sink: It pulls carbon out of the air and stores it while it grows. And, remarkably, it can directly replace some of the cement in concrete, giving the result a dramatically smaller carbon footprint.
Arriving at the ideal mixture of ingredients would have taken five years of trial and error, Roumeli estimated, because any concrete sample takes about a month to fully cure before its properties can be evaluated accurately.
To speed up the process, the team built a custom machine learning model and trained it on an initial set of 24 formulations of cement. They then used the model to predict ideal mixtures to test in the lab. By feeding the results of those tests back into the model, they were able to work in tandem with the model and move through formulations rapidly. The outcome was an optimal mixture of seaweed-enhanced cement with a reduced carbon footprint that passed compressive strength tests, discovered in just 28 days.
鈥淢achine learning was integral in helping us dramatically shorten the process 鈥� especially important here, because we鈥檙e introducing a completely new material into cement,鈥� Roumeli said.
From here, the team plans to deepen their understanding of how seaweed composition and structure affects cement performance. The larger goal is to generalize the work out to different kinds of algae (or even to food waste) so that producers can create local, sustainable cement alternatives around the world 鈥� and use machine learning to optimize them rapidly.
鈥淏y combining natural materials like algae with modern data tools, we can localize production, reduce emissions, and move faster toward greener infrastructure,鈥� Roumeli said. 鈥淚t鈥檚 an exciting step toward a new generation of sustainable building materials.鈥�
Additional co-authors on this paper are , a 91探花doctoral student studying materials science and engineering; , a former 91探花postdoctoral researcher in the materials science and engineering department who is now an R&D engineer at the iPrint Institute; and , a principal researcher at Microsoft Research.
This research was funded by Microsoft Research.
For more information, contact Roumeli at eroumeli@uw.edu.