Location: North America without Quebec - North America without Quebec
This dataset represents the production of North American 35 MPa ready-mix concrete. Density: 2'315 kg/m³. Ingredients (for 1 m³): Cement 312 kg, Water 162 kg, Gravel 950 kg, Sand 815 kg, Fly ash, Silica fume or Blast furnace slag 73 kg, Admixtures (air-entrainers, water reducing admixture and superplastisizers) 3kg. 35 MPa concrete is intended for structurally reinforced commercial and industrial usage, exposed to chlorides and freezing and thawing conditions (e.g. bridge, decks, parking decks and ramps, etc.) (following the Canadian CSA specs - http://www.rmcao.org/sites/default/files/CSA%20Quickspec%202012.pdf).
Generic concrete mixes (cement, SCM, aggregate, water, admixtures) provided by the Technical Committee of Association Béton Québec (Canada) (Recipe compliant with Quebec standards for Work of art concrete, Ministère des transports du Québec - Ministry of Transport, Québec- Canada).
The average water consumption (not including batch water) is 65 L/m³ of ready mixed concrete. The average amount of water disposed is 35 L/m³. Water not discarded is recycled back into the process or into other products, and therefore not accounted for in this dataset.
Annual production volume of Ready-Mix concrete for North America estimated based on US production, and GDP ratio.
Distribution by ready-mix strength class estimated as:
- 20 MPa = 20%
- 25 MPa = 40%
- 30-32 MPa = 15%
- 35 MPa = 24%
- 50 MPa = 1%
(coherent with distribution presented in http://www.ermco.eu/documents/ermco-documents/ermco_-statistics2008_091… (Table 3)
None
[This dataset is meant to replace the following datasets:
- concrete production 35MPa, RNA only, GLO, 2006 - 2006 (15aaf614-d8d0-4a6c-bb15-8edd74326cce)]
Undefined unit processes (UPRs) are the unlinked, multi-product activity datasets that form the basis for all of the system models available in the ecoinvent database. This is the way the datasets are obtained and entered into the database by the data providers. These activity datasets are useful for investigating the environmental impacts of a specific activity (gate-to-gate), without regard to its upstream or downstream impacts.
