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Purpose The purpose of this paper is to focus on compressive strength modelling of cementitious mixtures like mortar and Roller-compacted concrete (RCC) containing rubber aggregates from shredded worn tires and filler using adaptive neuro fuzzy inference systems (ANFIS). Design/methodology/approach The volume substitution contains a ratio of rubber aggregates vs sand in mortar and with crushed sand in RCC and ranges from 0 to 50 per cent. As for the filler, they are substituted with sand by 5 per cent in mortar mixture. The methodology consists of optimizing the percentage of substitution in cementitious mixtures to ensure better mechanical properties of materials like compressive strength. The prediction of compressive strength and the optimization of cementitious mixtures encourage their uses in such construction pavements, in area games or in other special constructions. These cementitious materials are considered as friendly to the environment by focussing on their improved deformability. Findings The results of this paper show that the performance of the constructed fuzzy method was measured by correlation of experimental and model results of mortar and RCC mixtures containing both rubber aggregates and filler. The comparison between elaborated models through the error and the accuracy calculations confirms the reliability of the ANFIS method. Originality/value The purpose of this paper is to assess the performance of the constructed fuzzy model by the ANFIS method for two types of cementitious materials like mortar and RCC containing rubber aggregates and filler. The fuzzy method could predict the compressive strength based on the limited measurement values in the mechanical experiment. Furthermore, the comparison between the elaborated models confirms the reliability of the ANFIS method through the error and the accuracy calculations for the best cementitious material mixtures.

This article focuses on the valorization of marine sediments (MS) in proteinic biopolymer (HE) that will generate HEMS biocomposites. These biocomposites were developed with various percentages of marine sediments (0%, 5%, 15%, and 20%) and characterized. Mechanical properties were examined as a function of the contents of used marine sediments. The flexural and compressive modulus increase with the rise of the MS percentage in the composite. The compressive strength increases while the flexural and tensile strengths decrease. Furthermore, the HEMS composite was characterized using Fourier transform infrared spectroscopy and by using scanning electron microscopy. And the thermal degradation behavior of the composite was investigated by thermogravimetric analysis coupled with differential scanning calorimetry. POLYM. COMPOS., 38:1624-1630