Fuzzy logic approach for estimating durability of concrete

Abstract

In this work, it is shown how fuzzy inference systems can be constructed to produce a global durability evaluation factor for concrete based on various performance criteria from accelerated tests. This can facilitate the decisionmaking process during the design stage by identifying optimum concrete mixtures proposed for specified field exposure. A fuzzy inference system was built for the specific case of various self-consolidating concrete mixtures subjected to ammonium sulfate attack. The performance of this model was compared with that of other models that enable decision making: the remaining service life model and compromise programming. Results of the fuzzy inference system had a better correlation with compromise programming (R 2 5 0 . 7) than that with the remaining service life model (R 2 5 0 . 5), and better represented the actual degradation observed in test specimens. It is shown that the proposed fuzzy inference model is rational, clear, reliable, versatile and flexible since it can be easily updated with new data or modified to accommodate future findings.

Comparative study on fuzzy inference systems for prediction of concrete compressive strength

“…The performance of this model was compared with those of others that enable decision making: The remaining service life model and compromise programming. Results of the fuzzy inference system had a better correlation with compromise programming (R 2 = 0.7) than the one with the remaining service life model (R 2 = 0.5), and it represented, the actual degradation is better observed in test specimens (Nehdi and Bassuoni, 2009).…”

Applying Fuzzy Mathematical Model of Emotional Learning for EEG Signal Classification Between Schizophrenics and Control Participant

“…We simulated the function of the thalamus, and sensory cortex by applying fuzzy expert system. Due to the dynamic behavior of the model, fuzzy logic would be a suitable tool that deals with inaccurate, and incomplete data [60]. 1-Thalamus: DT has the data transfer function and passes Aj to sensory cortex and max(Aj) to amygdala, according to Eq.…”

Designing a fuzzy expert system to predict the concrete mix design

“…M. Bilgehan worked on a comparative study to estimate the concrete compressive strength using the neural network and the neuro-fuzzy modeling approaches [9]. M. L. Nehdi and M. T. Bassuoni found a Fuzzy logic approach to estimate durability of the concrete [6].…”