Optimal arrangement of reinforcement in composites

Fedeliński, P.; Górski, R.

doi:10.1016/j.acme.2014.05.002

Cited by 4 publications

(2 citation statements)

References 19 publications

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“…Fedelinski and Gorski [17] applied the coupled finite and boundary element method to maximise stiffness of dynamically loaded plates reinforced by deformable stiffeners. The same approach was used by Fedelinski and Gorski [18] to maximise stiffness of statically loaded nanocomposites. Fedelinski [19] presented plates with rigid straight fibres and cracks modelled by the BEM.…”

Section: Introductionmentioning

confidence: 99%

Effective elastic properties of composites with randomly distributed thin rigid fibres

Fedeliński

2020

Arch Appl Mech

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The aim of the work is to analyse the effective elastic properties of composites with randomly distributed thin rigid fibres. The matrix is linear-elastic, homogenous and isotropic, and the fibres are perfectly connected to the matrix. Two-dimensional models of composites are analysed using the boundary element method (BEM). The method requires division of fibres and external boundaries of the plate into boundary elements. The boundary quantities are interpolated using quadratic shape functions. The direct solutions are: displacements and tractions along the external boundaries, displacements of fibres and interaction forces between the fibres and the matrix. Three numerical examples are presented in the paper: a single fibre in a circular disc, uniformly distributed parallel fibres and randomly distributed and oriented fibres in a square plate. The influence of distribution and orientation of fibres on effective Young’s moduli, Poisson’s ratios and Kirchhoff’s moduli is analysed. The examples demonstrate the accuracy and efficiency of the method.

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Section: Introductionmentioning

confidence: 99%

Effective elastic properties of composites with randomly distributed thin rigid fibres

Fedeliński

2020

Arch Appl Mech

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“…However, Cohn and Dinovitzer [8] identified a great gap between theoretical work and the practical application of structural optimization. Recent research has been conducted with regard to heuristics and metaheuristics [9], such as Descent Local Search (DLS) [10], Genetic Algorithms (GAs) [11,12], evolutionary algorithms [13,14], Simulated Annealing (SA) [15,16], Variable Neighborhood Search (VNS) [17], Harmony Search (HS) [18,19], Ant Colony Optimization (ACO) [20], Glowworm Swarm Algorithm (GSA) [21], Eagle Strategy (ES) [22], and the Big Bang-Big Crunch algorithm (BB-BC) [23], among others.…”

Section: Introductionmentioning

confidence: 99%

Heuristics in optimal detailed design of precast road bridges

Piqueras

García-Segura

González-Vidosa

2017

Archives of Civil and Mechanical Engineering

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This paper deals with the cost optimization of road bridges consisting of concrete slabs prepared in situ and two precast-prestressed U-shaped beams of self-compacting concrete. It shows the efficiency of four heuristic algorithms applied to a problem of 59 discrete variables. The four algorithms are the Descent Local Search (DLS), a threshold accepting algorithm with mutation operation (TAMO), the Genetic Algorithm (GA), and the Memetic Algorithm (MA). The heuristic optimization algorithms are applied to a bridge with a span length of 35 m and a width of 12 m. A performance analysis is run for the different heuristics, based on a study of Pareto optimal solutions between execution time and efficiency. The best results were obtained with TAMO for a minimum cost of 104184 €. Among the key findings of the study, the practical use of these heuristics in real cases stands out. Furthermore, the knowledge gained from the investigation of the algorithms allows a range of values for the design optimization of such structures and pre-dimensioning of the variables to be recommended.

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