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Resistance of bituminous binder to ageing
Rous, Vojtěch ; Frýbort, David (referee) ; Kudrna, Jan (advisor)
Asphalt binder ageing and experiences with various ageing methods from abroad are described in this thesis. The practical part deals with the RTFOT aging and with the influence of the duration of this test. The comparison of test results is conducted before and after the aging by values of needle penetration, elastic recovery, softening point and resilience tests are evaluated and compared.
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Desing and evaluation of Bituminous Stress Absorbing Pavement Layer
Coufalík, Pavel ; Špaček, Petr (referee) ; Kudrna, Jan (advisor)
This master's thesis deals with the possibility of special asphalt-rubber mixture using - Stress Absorbing Layer (SAL). In the theoretical part the SAL and test methods are described. In the practical part, several different mixtures are designed and selected mixtures were tested. Low-temperature characteristics, permanent deformations, bending tensile relaxation, stiffness modulus and fatigue properties were determined. Based on the test results the mixtures were compared and their benefit is evaluated according to Performance Pavement Design Method, the pavement structure was evaluated by using of computer programme LayEps.
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Double Layer Porous Asphalt with Aspahlt-rubber Binder
Klimeš, Petr ; Hegr, Zdeněk (referee) ; Kudrna, Jan (advisor)
The possibilities of double layer porous asphalt usage and rules for design of porous asphalt mixtures are introduced in this work. The porous asphalt mixtures PA 8, PA 11 and PA 16 are designed with different content of asphalt-rubber according to Marshall Test method. The water sensitivity, drainability, particle loss of these PA are determined. The permanent deformation and drainability of double layer PA 8 and PA 11 were also determined. The possibility of usage of this double layer porous asphalt with expected decreasing of traffic noise was proved.
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The Prediction at Capital Markets
Kudrna, Jan ; Jiří,, Polách (referee) ; Dostál, Petr (advisor)
This diploma thesis deals with the utilization of artificial intelligence methods for prediction at capital markets and includes project of utilization of the chosen parts of chaos theory and artificial neural networks for prediction at capital markets.
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