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Plate and Shell Models: Variational Methods in Plate and Shell theory - Tapa blanda

Nzengwa, Robert

 
9789819927722: Plate and Shell Models: Variational Methods in Plate and Shell theory

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Sinopsis

This book presents, in a variational form, very many two dimensional models which have been developed to overcome some weaknesses of the Kirchhoff-Love and Reissner-Mindlin’s models. More precisely the N-T and N models are particularly treated because they clearly show the impact of the change in the third fundamental form whose contribution to the strain energy becomes important when the characteristic ratio of the shell is roughly greater than 0.3. Transverse stresses through-the-thickness are calculated. Gradient Recovery and Strain deformation approach with Curve triangular and Shifted Lagrange elements are implemented. These new FEM appear to be memory less greedy. 

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Acerca del autor

Prof. Nzengawa has been teaching in masters level, for many years now, in engineering advance schools such as The Ecole Nationale Supérieure Polytechnique de Yaoundé where he was the head of the department of civil engineering, The Ecole Nationale Supérieure Polytechnique de Douala, former Faculty of Industrial Engineering, where he was the Dean and the head of the department of construction engineering. These results are also used in the engineering office that he runs. 

De la contraportada

This book presents, in a variational form, very many two dimensional models which have been developed to overcome some weaknesses of the Kirchhoff-Love and Reissner-Mindlin's models. More precisely the N-T and N models are particularly treated because they clearly show the impact of the change in the third fundamental form whose contribution to the strain energy becomes important when the characteristic ratio of the shell is roughly greater than 0.3. Transverse stresses through-the-thickness are calculated. Gradient Recovery and Strain deformation approach with Curve triangular and Shifted Lagrange elements are implemented. These new FEM appear to be memory less greedy.


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