Non-Linear Finite Element Analysis of Solids and Structures: Essentials
Non-Linear Finite Element Analysis of Solids and Structures: Essentials
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Non-Linear Finite Element Analysis of Solids and Structures: Advanced Topics
Non-Linear Finite Element Analysis of Solids and Structures: Advanced Topics
Evolutionary Algorithms for Solving Multi-Objective Problems
Evolutionary Algorithms for Solving Multi-Objective Problems
Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization
Proceedings of the 5th International Conference on Genetic Algorithms
The Niched Pareto Genetic Algorithm 2 Applied to the Design of Groundwater Remediation Systems
EMO '01 Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization
Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy
Evolutionary Computation
Advanced form-finding of tensegrity structures
Computers and Structures
Direct simulation of the tensioning process of cable-stayed bridges
Computers and Structures
Form-finding of compressive structures using Prescriptive Dynamic Relaxation
Computers and Structures
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This paper deals with the preliminary shape design of three-dimensional bridge structures. For crossing wide spans, lightweight truss structures are well-suited. Due to their complex equilibrium state involving a geometrically nonlinear behaviour, the generation of an equilibrated system requires numerical form finding methods, namely the force density method for truss structures. To enforce geometric restrictions, a constrained force density method is developed. Then, the scope of the form finding method is extended to the search of optimal configurations by combining the force density method with multiobjective genetic algorithms within an integrated design process. Large scale applications illustrate the proposed strategy.