concrete

Insights from material flow analysis, material performance, and environmental impacts were coupled together to evaluate alternative mineral flows in comparison to conventional mineral admixtures (i.e., fly ash, GBFS, limestone, metakaolin, and silica fumes).

This research brief summarizes findings from a study in which researchers investigated the use of higher percentages of reclaimed asphalt pavement and asphalt roofing shingles as a partial replacement for the virgin binder in new asphalt mixes.

Researchers at UC Davis developed an initial methodology to evaluate implications of design decisions on the environmental impacts of concrete systems using a multi-criteria selection process to assist decision-makers.

In this project, researchers from the University of California, Davis reviewed key, rapidly implementable strategies to mitigate emissions from cement and concrete used in state funded infrastructure projects.

While hydraulic cement is a well-studied source of emissions, the consequences of efficient structural design decisions on mitigating these emissions are not yet well known. Here, the researchers show that a combination of manufacturing and engineering decisions have the potential to reduce over 76% of the GHG emissions from cement and concrete production, equivalent to 3.6 Gt CO2-eq lower emissions in 2100.

In this work, a literature review of key parameters that can facilitate desired CO2 uptake for transportation projects at their end of life is conducted and an initial meta-analyses of data from the literature to inform CO2 uptake for individual projects is performed.

Concrete is also responsible for over 8% of annual anthropogenic greenhouse gas (GHG) emissions globally. As population and urbanization increase and existing infrastructure deteriorates, demand for production of concrete will increase, and with it, the environmental burdens from its production. The models used to determine environmental impacts of producing concrete have considerable uncertainty and variability. This makes it challenging to identify the most effective means of mitigating these burdens.

This work aims to quantitatively examine data variability, an inherent characteristic of elements in supply chains, and data uncertainty, a function of data quality for the system being modeled, in assessments of greenhouse gas and air pollutant emissions from concrete production.