vahid razavi (14 risultati)

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Taschenbuch. Condizione: Neu. Analysis of CFRP strengthened RC slab | Seyed Vahid Razavi Tosee (u. a.) | Taschenbuch | 92 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659619182 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condizione: Neu. Using Generalized Regression Neural Network in Structural Engineering | Seyed Vahid Razavi Tosee (u. a.) | Taschenbuch | 116 S. | Englisch | 2014 | Scholars' Press | EAN 9783639661255 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Finite element analysis (FEA) is a method to evaluate the outputs of complex elements to any external loading by dividing the complex elements into lots of smaller and simpler elements. Artificial Neural Networks (ANNs) is another alternative analytical modeling method, which capture the numerical equations between its nodes and no formal formula is observable within the network generation. The key objective of this book is to analyze Carbon Fiber Reinforced Polymer (CFRP) strengthened RC one-way slab using FEA and ANN. The experimental work involves the evaluation of load- deflection relationship of 7 CFRP strengthened RC slabs under four point line loads. The results of experimental data were compared with empirical modelling and finite element analysis using LUSAS software. 92 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Traditional analysis methods used in Structural Engineering are reliable and can be successfully applied by solving several numerical equations. Another alternative analytical modeling method is Artificial Neural Networks (ANNs), which capture the numerical equations between its nodes and no formal formula is observable within the network generation. ANN system is an acceptable method in predicting experimental results. In this book, FBNN and GRNN are generated to predict the load-deflection analysis in the one-way non-strengthened and Carbon Fiber Reinforced Polymer (CFRP) strengthened RC slab. The GRNN was applied for situation where training data is insufficient for network generation. In addition, GRNN is also applied for the mechanical strength prediction of lightweight concrete and mortar. 116 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Razavi Tosee Seyed VahidDr. Seyed Vahid Razavi Tosee is a holder of academic position in Structural Engineering Department at the Jundi-shapur University of Technology, Dezful, Iran. His main areas of research includes Structural Eng.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Razavi Tosee Seyed VahidDr. Seyed Vahid Razavi tosee is a holder of academic position in Structural Engineering Department 0f Joundi-shapor University of Technology, Dezful, Iran. His main areas of research includes Structural Engin.

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Finite element analysis (FEA) is a method to evaluate the outputs of complex elements to any external loading by dividing the complex elements into lots of smaller and simpler elements. Artificial Neural Networks (ANNs) is another alternative analytical modeling method, which capture the numerical equations between its nodes and no formal formula is observable within the network generation. The key objective of this book is to analyze Carbon Fiber Reinforced Polymer (CFRP) strengthened RC one-way slab using FEA and ANN. The experimental work involves the evaluation of load- deflection relationship of 7 CFRP strengthened RC slabs under four point line loads. The results of experimental data were compared with empirical modelling and finite element analysis using LUSAS software.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Finite element analysis (FEA) is a method to evaluate the outputs of complex elements to any external loading by dividing the complex elements into lots of smaller and simpler elements. Artificial Neural Networks (ANNs) is another alternative analytical modeling method, which capture the numerical equations between its nodes and no formal formula is observable within the network generation. The key objective of this book is to analyze Carbon Fiber Reinforced Polymer (CFRP) strengthened RC one-way slab using FEA and ANN. The experimental work involves the evaluation of load- deflection relationship of 7 CFRP strengthened RC slabs under four point line loads. The results of experimental data were compared with empirical modelling and finite element analysis using LUSAS software.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Traditional analysis methods used in Structural Engineering are reliable and can be successfully applied by solving several numerical equations. Another alternative analytical modeling method is Artificial Neural Networks (ANNs), which capture the numerical equations between its nodes and no formal formula is observable within the network generation. ANN system is an acceptable method in predicting experimental results. In this book, FBNN and GRNN are generated to predict the load-deflection analysis in the one-way non-strengthened and Carbon Fiber Reinforced Polymer (CFRP) strengthened RC slab. The GRNN was applied for situation where training data is insufficient for network generation. In addition, GRNN is also applied for the mechanical strength prediction of lightweight concrete and mortar.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Traditional analysis methods used in Structural Engineering are reliable and can be successfully applied by solving several numerical equations. Another alternative analytical modeling method is Artificial Neural Networks (ANNs), which capture the numerical equations between its nodes and no formal formula is observable within the network generation. ANN system is an acceptable method in predicting experimental results. In this book, FBNN and GRNN are generated to predict the load-deflection analysis in the one-way non-strengthened and Carbon Fiber Reinforced Polymer (CFRP) strengthened RC slab. The GRNN was applied for situation where training data is insufficient for network generation. In addition, GRNN is also applied for the mechanical strength prediction of lightweight concrete and mortar.