Optimal Compressive Strength of RHA Ultra-High-Performance Lightweight Concrete (UHPLC) and Its Environmental Performance Using Life Cycle Assessment

Frequent laboratory needs during the production of concrete for infrastructure development purposes are a factor serious concern sustainable development. In order to overcome this trend, an intelligent forecast properties based on multiple data points collected from various mixes produced and cured under different conditions is adopted. It equally important consider impact components in attempt take care environmental risks involved production. work, 192 ultra-high-performance lightweight (UHPLC) were literature representing periods conditions. These mix proportions constitute measured variables, which curing age (A), cement content (C), fine aggregate (FAg), plasticizer (PL), rice husk ash (RHA). The studied property was unconfined compressive strength (Fc). This exercise necessary reduce dependence examinations by proposing equations. First, life cycle assessment evaluation conducted ash-based UHPLC, results show that C-783 (87 kg/m3 RHA) has highest score performance evaluation, while C-300 (75 with indices 289.85 kg CO2eq. Global warming potential (GWP), 0.66 SO2eq. Terrestrial acidification 5.77 m3 water consumption selected be optimal choice due its good profile LCA Fc associated mix. Second, predictions using six algorithms (ANN-BP), (ANN-GRG), (ANN-GA), (GP), (EPR), (GMDH-Combi). (ANN-BP) R; 0.989, R2; 0.979, mean square error (MSE); 2252.55, root squared (RMSE); 42.46 MPa absolute percentage (MAPE); 4.95% outclassed other five techniques as decisive model. However, it also compared well previous models, had used gene expression programming (GEP) random forest regression (RFR) achieved R2of 0.96 0.91, respectively. Doi: 10.28991/CEJ-2022-08-11-03 Full Text: PDF