%0 Journal Article
	%A Manal Bouasria and  Mohammed-Hichem Benzaama and  Valérie Pralong and  Yassine El Mendili
	%D 2022
	%J International Journal of Civil and Environmental Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 192, 2022
	%T Smart Technology for Hygrothermal Performance of Low Carbon Material Using an Artificial Neural Network Model
	%U https://publications.waset.org/pdf/10012827
	%V 192
	%X Reducing the quantity of cement in cementitious composites can help to reduce the environmental effect of construction materials. Byproducts such as ferronickel slags (FNS), fly ash (FA), and waste as Crepidula fornicata shells (CR) are promising options for cement replacement. In this work, we investigated the relevance of substituting cement with FNS-CR and FA-CR on the mechanical properties of mortar and on the thermal properties of concrete. Foraging intervals ranging from 2 days to 28 days, the mechanical properties are obtained by 3-point bending and compression tests. The chosen mix is used to construct a prototype in order to study the material’s hygrothermal performance. The data collected by the sensors placed on the prototype were utilized to build an artificial neural network.
	%P 331 - 335