Building a User-Friendly LCI Prediction Model for Concrete Mixtures

Journal of Sustainable Construction Materials and Technologies

article

Jake Ellis¹  Vedaraman Sriraman¹  Jiong Hu¹  Yoo Jae Kim²  Anthony Torres¹  Harnish Sharma¹ 

[1] Texas State University;University of Nebraska-Lincoln, The Peter Kiewit Institute, United States

关键词: CO₂ emissions;    Portland cement concrete;    Fly ash;    Recycled Concrete Aggregate;    Service life.;   

DOI  :  10.29187/jscmt.2018.18

学科分类：社会科学、人文和艺术（综合）

来源: Yildiz Technical University

【 摘 要 】

Concrete is the corner stone of the construction industry and the second largest material being used after water. The growth of the construction industry and an increasing awareness of the environmental impact of human activity has accelerated the development of environment friendly solutions in concrete production and construction. Through the production of concrete and its constituents, varying amounts of CO2 are emitted into the atmosphere. In this study, a user-friendly Life Cycle Impact (LCI) model for concrete was developed. The user-friendly LCI model for concrete was developed based on the literature, which can be used for a constituent comparative analysis. This study demonstrates the practicality of a user-friendly LCI model by comparing the LCI of different concrete compositions that contain Fly Ash (FA) and Recycled Concrete Aggregate (RCA). Although this study focused mainly on the environmental impact of FA and RCA, the model was designed to analyze the impact of any conventional concrete mixture and a mixture with any combination of added or replaced constituents. The major benefit of the developed user-friendly LCI model is that it is a simple model that can be used by practically anyone in the concrete construction industry to assess and evaluate the impact of any concrete mixtures. Providing the industry with a user-friendly model that requires little time can drastically benefit practitioners in better access to environment impact of different concrete mixtures.

【 授权许可】

CC BY-NC