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Dynamic response of an alluvial valley consists of three types of soil

Earthquake Engineering and Engineering Vibration 2020年第2期19卷 289-305页

作者： hasan faik kara Civil Engineering Department Trakya UniversityTurkey

Dynamic response of an alluvial valley consisting of three different types of soil was *** the twodimensional model,the alluvial valley was assumed to have half-cylindrical *** alluvial valley contained three different types of soil with different *** valley was surrounded by a *** of the soil types and the half-space were assumed to be isotropic,homogeneous and linear *** half-space was excited by simple harmonic SH-waves radiated from a strike-slip *** fault was assumed to have circular-arc shape in the mathematical *** governing equations were solved by using wave function expansion method where boundary conditions were relatively *** the regions where boundary conditions were more complex,finite difference method was ***,the wave propagation problem was solved *** obtained numerical results showed that surface displacement amplitudes are significantly affected by the material properties of the different soil types of the alluvial *** was also observed that the shapes of the soil types in the alluvial valley played a considerable role in surface displacements.

关键词： cylindrical SH-waves alluvial valley strike-slip fault

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Predicting the Mechanical Properties of BHA-Li2O Composites Using Artificial Neural Networks

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Journal of Biomaterials and Nanobiotechnology 2011年第1期2卷 98-101页

作者： hasan Huseyin Celik Oguzhan Gunduz Nazmi Ekren Zeeshan Ahmad faik Nuzhet Oktar 不详

In this study the mechanical properties of bovine hydroxyapatite (BHA)-Li2O composites are predicted using artificial neural networks (ANN) and then compared with obtained experimental values. BHA was mixed with lithium carbonate (Li2CO3) and sintered at various temperatures between 900-1300°C. Selected experimental values obtained for the compression strength, microhardness and density were used to define and train the ANN system. Intermediate data values not used to train the ANN model were then used to compare and determine the reliability of the ANN system. The results demonstrate the viable potential in using the ANN approach in predicting mechanical properties even with limited data sets.

关键词： Artificial Neural Network Hydroxyapatite Li2O Composites Bioceramic

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Tracheal rupture developing after blunt thoracic trauma

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Case Reports in Clinical Medicine 2013年第9期2卷 502-504页

作者： hasan kara Aysegul Bayir Ahmet Ak Necmettin Tufekci Selim Degirmenci Murat Akinci Department of Emergency Medicine Faculty of MedicineSelcuk UniversityKonyaTurkey

Tracheal and bronchial injuries are life-threatening traumas that usually develop after traffic accidents or a fall from heights. The most common cause is motor vehicle accidents. Tracheobronchial injuries develop in 1%-2% of blunt thoracic traumas. The mortality rate is 30% in these patients and deaths usually occur within the first hours. Sixty five percent of surviving patients are diagnosed in later periods where complications are frequent. In conclusion, clinical evaluation and diagnostic tests should be performed immediately and carefully. In this study, a patient who developed tracheal rupture after blunt cervical and thoracic trauma was presented.

关键词： Blunt Cervical Trauma Blunt Thoracic Trauma Tracheal Rupture

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Predicting the Mechanical Properties of BHA-Li2O Composites Using Artificial Neural Networks

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Journal of Biomaterials and Nanobiotechnology（生物材料与纳米技术） 2011年第1期

作者： hasan Huseyin Celik Oguzhan Gunduz Nazmi Ekren Zeeshan Ahmad faik Nuzhet Oktar

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