Sener Ceryan

Bio: Sener Ceryan is an academic researcher from Balıkesir University. The author has contributed to research in topics: Liquefaction & Weathering. The author has an hindex of 5, co-authored 12 publications receiving 120 citations.

Modeling of tensile strength of rocks materials based on support vector machines approaches

Abstract: SUMMARY In the predicting of geological variables, artificial neural networks (ANNs) have some drawbacks including possibility of getting trapped in local minima, over training, subjectivity in the determining of model parameters and the components of its complex structure. Recently, support vector machines (SVM) has been found to be popular in prediction studies due to its some advantages over ANNs. Because the least squares SVM (LS-SVM) provides a computational advantage over SVM by converting quadratic optimization problem into a system of linear equations, LS-SVM method is also tried in study. The main purpose of this study is to examine the capability of these two SVM algorithms for the prediction of tensile strength of rock materials and to compare its performance with ANN and linear regression (MLR) models. Total porosity, sonic velocity, slake durability index and aggregate impact value were used as input in modeling applications. Favorite performance evaluation measures were employed to assess developed models. The results determined in study indicate that the SVM, LS-SVM and ANN methods are successful tools for prediction of tensile strength variable and can give good prediction performances than MLR model. Although these three methods are powerful artificial intelligence techniques, LS-SVM makes the running time considerably faster with the higher accuracy. In terms of accuracy, the LS-SVM model resulted in error reductions relative to that of the other models. Copyright © 2012 John Wiley & Sons, Ltd.

Geoenvironmental evaluation for planning: an example from Gumushane City, close to the North Anatolia Fault Zone, NE Turkey

Abstract: The paper highlights the importance of establishing an appropriate database of information to assist planners in site selection and decisions regarding land usage. Such a database should include geological and geotechnical information, but this should be assessed from a geoenvironmental viewpoint. The city of Gumushane in the Black Sea region is discussed, as this area is close to the North Anatolia Fault Zone and there is a shortage of “suitable” ground for development.

Weathering indices used in evaluation of the weathering state of rock material

Abstract: There are various definition of weathering and differences between authors seem to steam in part from the different viewpoints of pedolog, geomorpholog, geolog, geochemists and geology engineer. In this study, weathering is handled from various aspects such as time, form and phases of progress, studies it is majored and research scale. The engineering behavior of rock materials depends not only on stress state and stress history but also on the physical, mineralogical and chemical change of the rock materials due to weathering. Weathering indices are used to define these changes due to weathering. Several weathering indices have been devised for quantifying the changes in the intrinsic properties of rocks from different points of view, some of which can be related to the engineering properties of weathered rocks. The most commonly used methods can be broadly categorized as chemical, mineralogical-petrographical, petro-chemical and engineering indices. In this study, the brief literature review for weathering indices used to evaluate of the effects for weathering of rock materials.

Effect of freeze–thaw and thermal shock weathering on the physical and mechanical properties of an andesite stone

Abstract: Natural stones are exposed to physical weathering due to freeze–thaw (F–T) and thermal shock (TS) when they are used as pavement, cladding and masonry material. In this study, the deterioration of andesite was investigated by determining the physical and mechanical properties of andesite samples after each 10 cycles of F–T and TS up to 50 cycles. It was found that the P-wave velocity, Schmidt hardness and compressive strength decrease to different extents with F–T and TS while porosity and water absorption increase with F–T cycles but decrease with TS cycles. The results showed that F–T has a more destructive effect on the studied material than TS, although abrasion loss measurements suggest that the effect on the surface of the material is greater with TS. An exponential model is proposed to predict the variation of material properties with F–T and TS cycles.