Prediction of lower and upper bounds of elastic modulus of high strength concrete

Predicting the compressive strength of mortars containing metakaolin by artificial neural networks and fuzzy logic

“…The fuzzy approach considers cases where linguistic uncertainties play some role in the control mechanism of the phenomena concerned [32]. Thus, generally speaking, such approaches are always needed.…”

Prediction of photon attenuation coefficients of heavy concrete by fuzzy logic

“…In this approach Zadeh developed a new consideration instead of Aristotelian logic, which contains two definite and different possibilities only (1 or 0). On the other hand, an FL provides a natural way of dealing with problems, in which the source of imprecision is the absence of sharply defined criteria rather than the presence of random variables [9][10][11][12][13][14]. Fuzzy set theory provides a systematic calculus to deal with such information linguistically.…”

“…On the other hand determination of those properties experimentally is not always easy, and thus an alternative way would be used. This includes some approaches such as artificial neural networks (ANN) and fuzzy logic (FL) methods [9,10] to estimate some physical and mechanical properties of concretes.…”

Ultrasonic evaluation of mechanical properties of concretes produced with high early strength cement

“…The high influence of the aggregate type on the elastic modulus of concretes was evaluated by Beushausen and Dittmer [7], Beshr et al [8] and Wu et al [9]. The prediction of elastic modulus from compressive strength has been proposed by several standards, therefore, this relationship has been the focus of several studies, such as those conducted by Yazdi et al [6], Wang and Li [10] and Demir and Korkmaz [11]. Another interesting aspect explored by Wang and Lee [12], Conrad et al [13] and Han and Kim [14] is the influence of aging on the elastic modulus, since it can be directly related to the removal of concrete forms.…”