Browsing İnşaat Mühendisliği-Makale Koleksiyonu by Author "Kesimal, Ayhan"
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Application of generalized regression neural networks in predicting the unconfined compressive strength of carbonate rocks
Ceryan, Nurcihan; Okkan, Umut; Kesimal, Ayhan (Springer Wien, 2012)Measuring unconfined compressive strength (UCS) using standard laboratory tests is a difficult, expensive, and time-consuming task, especially with highly fractured, highly porous, weak rock. This study aims to establish ... -
Prediction of unconfined compressive strength of carbonate rocks using artificial neural networks
Ceryan, Nurcihan; Okkan, Umut; Kesimal, Ayhan (Springer, 2013)The unconfined compressive strength (UCS) of intact rocks is an important geotechnical parameter for engineering applications. Determining UCS using standard laboratory tests is a difficult, expensive and time consuming ...