Page 31 - Demo
P. 31


                                    NEWSwww.cpi-worldwide.com CPI %u2013 Concrete Plant International %u2013 5 | 2025terial types. They also aim to experimentally validate the most promising candidates. This research demonstrates how AI technologies are accelerating innovation in concrete science and engineering. By automating complex material screening processes that would previously require extensive manual testing and literature review, AI enables promising SCMs to be identified at a greater speed and scale. (a) Compositional and (b) reactivity variations of candidate materials categorized by type. In (a), Below or beside each category label, the numbers represent the ratio of samples to unique papers, indicated as samples/papers. Yellow markers indicate materials with an unspecified category. In (b), heat release and Ca(OH)2 (calcium hydroxide) consumption represent the degree of reactivity and pozzolanicity, respectively. [7]a)b)
                                
   25   26   27   28   29   30   31   32   33   34   35