Optimized Design of a Steel-Glass Parabolic Vault Using Evolutionary Multi-Objective Algorithms

Author:

Amadio Claudio1,Fragiacomo Massimo2,Lucia Pasquale3,de Luca Olindo4

Affiliation:

1. Associate Professor, University of Trieste, Department of Civil and Environmental Engineering, Piazzale Europa 1, 34121 Trieste, Italy

2. Associate Professor, University of Sassari, Department of Architecture and Planning, Palazzo del Pou Salit, Piazza Duomo 6, 07041 Alghero, Italy

3. Ph.D. Candidate, University of Trieste, Department of Civil and Environmental Engineering, Piazzale Europa 1, 34121 Trieste, Italy

4. Chief Engineer, Steel Department, Permasteelisa SpA Group - Vittorio Veneto (TV), Italy

Abstract

The paper explores the possibilities offered by evolutionary multi-objective algorithms in structural design. The developed procedure includes the parameterization of a 3D structure, the automatic generation of a finite element (FE) model, and the optimum design. The search of the optimum solution is dealt with using two commercial software packages: Straus7, for FE analysis, and modeFrontier, for optimal search, interlinked by a program purposely developed ( SCU, system control unit). The optimum design of a structure needs a different approach with respect to the traditional design. The paper presents a possible approach and describes more in detail the data pre and post processing including the choice of the solutions on the Pareto's front. A case study, a steel-glass vault roof built in Badenweiler (Germany), is used to demonstrate the effectiveness of the proposed approach. A significant economical saving can be achieved when the optimum design solution is used. The proposed algorithm can then be employed as a useful tool to help the designer in the complex design process.

Publisher

SAGE Publications

Subject

Building and Construction,Architecture,Civil and Structural Engineering,Conservation

Reference30 articles.

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3. Tucker A.W., Kuhn H.W. Nonlinear programming. University of California Press, ed. Proc, 2nd Berkeley Symp. on Mathematics, Statistics and Probability, Berkeley, Calif., 1951, 481–492.

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1. Monte Carlo Tree Search as an intelligent search tool in structural design problems;Engineering with Computers;2021-02-26

2. TOSCA: a Tool for Optimisation in Structural and Civil engineering Analyses;International Journal of Advanced Structural Engineering;2018-10-29

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