TY - JOUR ID - TI - Evaluate the Granite Waste Efficiency in the Construction Using Statistical Indicators AU - Mohammad Rostam Tahir AU - Mohammed Jameel Yaseen PY - 2023 VL - 14 IS - 1 SP - 66 EP - 72 JO - Anbar Journal of Engineering Sciences مجلة الأنبار للعلوم الهندسية SN - 19979428 27067440 AB - Due to the expansion of industrial operations globally in recent years,waste output has rised. So these wastes must redused by recycle andreuse to acheive environmentally friendly buildings and find variousalternatives materials in critical cases. The statistical indicators isused as practical study including Multiple linear regression (MLR)and artificial neural network (ANN) models. The study's goals wereto assess the effectiveness of granite waste (GW) as a replacement tocement, sand, plastic, and binder in specific building applications aswell as the relationships between MLR and ANN approaches. Resultsshows the efficiency of adding granite waste to some constructionstages and replacing it with cement in the mixture and examining itsstrength, it gave excellent results in addition to good results for itsuse as a binder in cement mortar, while the results were weak whenused as a substitute for sand and plastic in insulator because itsclassified as fine sand, Therefore, it cannot be used as a substitute forsand in the construction. The statistical models give an effictiveindicators to use GW as asalternative material (binder and cement)based on the coefficient of correlation (R2) for the two models MLRand ANN equal to 83.4 % and 80 % respectively.

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