STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Construction Engineering, Technology & Management

Revolutionizing Low Carbon Concrete: Innovations at the Nexus of Computational Science, Data Analytics, and Sustainable Technologies

  1. Ushaa Eswaran
  2. Vivek Eswaran
  3. Keerthna Murali
  4. Vishal Eswaran

Abstract

Concrete production accounts for 7% of global CO2 emissions necessitating low carbon innovations to curb exponential demand threatening climate commitments. This research reviews sustainable construction literature integrating computational simulations, big data infrastructure monitoring and alternative process redesign. Analysis reveals 30-50% reductions achievable through combined use of industrial ecologies, smarter sensing coordinated with ML optimization and novel binders like alkali-activated geopolymers. Rigorous LCA quantification verifies environmental superiority over conventional formulations. Case studies document integration success supplying zero-waste precincts while curtailing emissions below aspirational levels. Framework tradeoffs evaluate constraints around specialized material sourcing, predictive model uncertainties, scaling modular plant designs and policy interventions needed. Future work must crucially pilot demonstrations advancing circular economies through technological, commercial and social innovations mainstreaming decarbonized material flows. New interdisciplinary partnerships balancing physical performance and sustainability across built lifecycles are called for accelerating market viability.

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