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Impact of COVID-19 on Concrete Construction&Innovative Ways to make it Sustainable&Economical

Journal: International Journal of Science and Research (IJSR) (Vol.9, No. 8)

Publication Date:

Authors : ;

Page : 747-759

Keywords : Artificial Neural Network ANN; Compressive Strength; Exploratory Data Analysis; Machine learning; Sensors Technology; COVID-19;

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There are numerous challenges in the post-COVID construction world. Right from the beginning stage of production of concrete to the completion of project accumulating curing stage, consequences will be of various forms like a deficit of manpower& time, need of properly planned site arrangements, altering ingredients type& proportion in basic construction materials, adoption of increased usage of special materials in an innovative way, introducing disinfectants& relying much on well trained, robust& generalized software models& algorithms for prediction tasks. This paper presents a brief insight into these baffling issues, with suggested feasible, economical& adaptable ways to cater to unfavourable outcomes. To minimize labour, cost, time, machines& power consumed in casting cubes, hardening, testing& then transporting to the site, a large labelled dataset fed machine learning algorithm is introduced& its comparison is made with 5 layers ANN based on prediction accuracy obtained by both on the validation dataset. The last section is oriented about adopting the best suitable type of curing process advanced with sensors technology.

Last modified: 2021-06-28 17:10:27