Titlebook: Mathematical Applications in Continuum and Structural Mechanics; Francesco Marmo,Salvatore Sessa,Mario Spagnuolo Book 2021 Springer Nature

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记忆

,From the Swarm Robotics to Material Deformations,lot of exotic phenomena that other methods in literature can’t reproduce. Furthermore, it has a low computational cost and it is parallelizable, allowing us to take profit of CUDA® architecture. Some numerical simulations are provided and discussed using two different kinds of lattices and changing some model’s parameters.

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Influence of Non-structural Components on Equivalent Linearization of Buildings,ized system is not influenced by the presence of such devices. Numerical results show that tail equivalent linearization is an appealing strategy for the characterization of secondary seismic excitations.

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冷漠

Quasi-Harmonic Solutions for Transversely Isotropic Magneto-Electro-Thermo-Elasticity: A Symbolic M so as to preserve completeness. Finally, due to the large number of constitutive parameters involved in the uncoupling process, two Mathematica scripts that compute the coefficients of the characteristic polynomial and the components of the adjoint differential operator are described in full detail.

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Form Finding of Shell Structures by Using Membrane Theory,uted at the previous step. In case the loads are known in advance, the shell heights are computed in closed form, while the procedure is iterative if loads are expressed as a function of the shell heights. Two numerical examples show the feasibility of the proposed approach.

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现晕光

powerful approach to probabilistic modelling is to represent the observed variables in terms of a number of hidden, or latent, variables. One well-known example of a hidden variable model is the mixture distribution in which the hidden variable is the discrete component label. In the case of continu