Shakedown optimal design of reinforced concrete structures by evolution strategiesS. Rizzo; R. Spallino; G. Giambanco
2000 Engineering Computations: International Journal for Computer-Aided Engineering and Software
doi: 10.1108/02644400010334847
Approaches the shakedown optimal design of reinforced concrete (RC) structures, subjected to variable and repeated external quasi-static actions which may generate the well-known shakedown or adaptation phenomenon, when constraints are imposed on deflection and/or deformation parameters, in order to simulate the limited flexural ductility of the material, in the presence of combined axial stress and bending. Within this context, the classical shakedown optimal design problem is revisited, using a weak upper bound theorem on the effective plastic deformations. For this problem a new computational algorithm, termed evolution strategy, is herein presented. This algorithm, derived from analogy with the biological evolution, is based on random operators which allow one to treat the areas of steel reinforcements at each RC cross-section of the structure as design variables of discrete type, and to use refined non-linear approximations of the effective bending moment - axial force M-N interaction diagrams of each RC cross-section. The results obtained from case studies available in the literature show the advantages of the method and its effectiveness.
Digital bispectral analysis applied to stationary response of flexible linesC.A.N. Dias; J.R.D. Petreche
2000 Engineering Computations: International Journal for Computer-Aided Engineering and Software
doi: 10.1108/02644400010334865
In marine structures, the long-term non-stationary response of flexible lines, due to random environmental loads, may be regarded as successive short-term stationary processes in which current, wind and ocean wave conditions remain constant. The power spectrum of each stationary process can be characterized by its linear and non-linear energy components: the linear energy defines a Gaussian process, and the additional nonlinear energy characterizes a non-Gaussian process. Within this scope, digital bispectral analysis has enabled one to describe non-linear stationary response of flexible lines in the frequency domain, so that the complex coefficients of a quadratic model, in the frequency domain, can be estimated. The real and symmetrical matrix constructed from these coefficients has eigenvalues and eigenvectors useful to describe the characteristic function of the response from where the probability density function can be obtained by using a fast Fourier transform algorithm. The bases of the method presented here have already been treated, in a similar but pure algebraic method, to obtain the asymptotic probability function applicable to the response of non-linear systems in closed form.