A linguistic model for evaluating cement strength

This paper presents a soft methodology for predicting the 28-day compressive strength of Portland cement (CCS) by making use of the 1-day, 3-day and 7-day CCS values. Data taken from a cement plant in Turkey have been employed in the model construction and testing. For implementation, linguistic mod...

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Veröffentlicht in:	Materials and structures 2009, Vol.42 (1), p.103-111
Hauptverfasser:	Tutmez, B., Dag, A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Building Materials Buildings. Public works Cement concrete constituents Cements Civil Engineering Engineering Exact sciences and technology Fuzzy Fuzzy logic Fuzzy set theory Linguistics Machines Manufacturing Materials Materials Science Mathematical models Original Article Processes Properties and test methods Properties of anhydrous and hydrated cement, test methods Regression Solid Mechanics Strength Strength of materials (elasticity, plasticity, buckling, etc.) Structural analysis. Stresses Theoretical and Applied Mechanics
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Beschreibung
Zusammenfassung:	This paper presents a soft methodology for predicting the 28-day compressive strength of Portland cement (CCS) by making use of the 1-day, 3-day and 7-day CCS values. Data taken from a cement plant in Turkey have been employed in the model construction and testing. For implementation, linguistic models were designed based on if-then fuzzy rules. In addition, predictions of these models were compared with results of the regression models. The performance evaluations showed that the linguistic-based fuzzy predictions are very satisfactory in estimating cement strength and the linguistic modeling performs better than regression modeling.
ISSN:	1359-5997 1871-6873
DOI:	10.1617/s11527-008-9370-1