Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Antonio, Cc

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (20/20 displayed)

  • 2023Maximisation of Bending and Membrane Frequencies of Vibration of Variable Stiffness Composite Laminated Plates by a Genetic Algorithm4citations
  • 2023Swarm intelligence hybridized with genetic search in multi-objective design optimization under constrained-Pareto dominance5citations
  • 2021Dimensional reduction applied to the reliability-based robust design optimization of composite structures14citations
  • 2020Sobol' indices as dimension reduction technique in evolutionary-based reliability assessment11citations
  • 2019Robustness and reliability of composite structures: effects of different sources of uncertainty17citations
  • 2019Reliability-based Robust Design Optimization with the Reliability Index Approach applied to composite laminate structures30citations
  • 2019Global optimal reliability index of implicit composite laminate structures by evolutionary algorithms16citations
  • 2018RESEARCH AND VALIDATION OF GLOBAL MPP IN THE RELIABILITY ANALYSIS OF COMPOSITE STRUCTUREScitations
  • 2018MULTI-OBJECTIVE OPTIMIZATION AIMING THE SUSTAINABLE DESIGN OF FRP COMPOSITE STRUCTUREScitations
  • 2018A displacement field approach based on FEM-ANN and experiments for identification of elastic properties of composites9citations
  • 2017A RBDO APPROACH FOR THE RELIABILITY ASSESSMENT OF COMPOSITE STRUCTUREScitations
  • 2016IDENTIFICATION OF ELASTIC PROPERTIES OF ORTHOTROPIC COMPOSITES BASED ON A GENETIC ALGORITHMcitations
  • 2010Uncertainty propagation in inverse reliability-based design of composite structures30citations
  • 2009A study on synergy of multiple crossover operators in a hierarchical genetic algorithm applied to structural optimisation18citations
  • 2008From local to global importance measures of uncertainty propagation in composite structures41citations
  • 2005Eliminating forging defects using genetic algorithms19citations
  • 2004A study on milling of glass fiber reinforced plastics manufactured by hand-lay up using statistical analysis (ANOVA)115citations
  • 2004Drilling fiber reinforced plastics (FRPs) manufactured by hand lay-up: influence of matrix (Viapal VUP 9731 and ATLAC 382-05)93citations
  • 2004Optimization of metal forming processes26citations
  • 2004Experimental study of drilling glass fiber reinforced plastics (GFRP) manufactured by hand lay-up340citations

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Ribeiro, P.
1 / 2 shared
Simoes, Tm
1 / 1 shared
Fitas, R.
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Carneiro, Gd
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Hoffbauer, Ln
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Rasheed, S.
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Sousa, Lc
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Castro, Cf
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Davim, Jp
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Reis, P.
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Co-Authors (by relevance)

  • Ribeiro, P.
  • Simoes, Tm
  • Fitas, R.
  • Carneiro, Gd
  • Hoffbauer, Ln
  • Rasheed, S.
  • Sousa, Lc
  • Castro, Cf
  • Davim, Jp
  • Reis, P.
OrganizationsLocationPeople

article

Uncertainty propagation in inverse reliability-based design of composite structures

  • Antonio, Cc
  • Hoffbauer, Ln
Abstract

An approach for the analysis of uncertainty propagation in reliability-based design optimization of composite laminate structures is presented. Using the UniformDesign Method (UDM), a set of design points is generated over a domain centered on the mean reference values of the random variables. A methodology based on inverse optimal design of composite structures to achieve a specified reliability level is proposed, and the corresponding maximum load is outlined as a function of ply angle. Using the generated UDM design points as input/output patterns, an Artificial Neural Network (ANN) is developed based on an evolutionary learning process. Then, a Monte Carlo simulation using ANN development is performed to simulate the behavior of the critical Tsai number, structural reliability index, and their relative sensitivities as a function of the ply angle of laminates. The results are generated for uniformly distributed random variables on a domain centered on mean values. The statistical analysis of the results enables the study of the variability of the reliability index and its sensitivity relative to the ply angle. Numerical examples showing the utility of the approach for robust design of angle-ply laminates are presented.

Topics
  • impedance spectroscopy
  • simulation
  • composite
  • random