A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Design Optimization of Flood Walls Using Evolutionary Algorithms
Flood walls are specific types of retaining walls that, in addition to the usual and seismic loadings, are subjected to hydraulic loadings such as flowing water, submergence, and wave action. The current practice for structural design of flood walls has mainly focused on estimating the material properties and dimensions of the structure based on the U.S. Army Corps of Engineers design manuals. Although these could ensure the safety of the structure; the design process typically adopts a trial-and-error procedure; therefore, the final design could be non-optimal and expensive. In this paper, an optimum design procedure based on non-dominated sorted genetic algorithm II (NSGA-II) technique is developed for multi-objective design optimization (MODO) of flood walls. The procedure simultaneously minimizes the cost and weight of the structure, while satisfying the stability and ultimate limit state constraints. As an illustration, the developed procedure is used for an optimum design of an inverted T-type flood wall with and without considering a shear key subjected to two different load conditions. Lastly, a parametric study is conducted to evaluate the influence of soil properties and freeboard on the optimum design results.
Design Optimization of Flood Walls Using Evolutionary Algorithms
Flood walls are specific types of retaining walls that, in addition to the usual and seismic loadings, are subjected to hydraulic loadings such as flowing water, submergence, and wave action. The current practice for structural design of flood walls has mainly focused on estimating the material properties and dimensions of the structure based on the U.S. Army Corps of Engineers design manuals. Although these could ensure the safety of the structure; the design process typically adopts a trial-and-error procedure; therefore, the final design could be non-optimal and expensive. In this paper, an optimum design procedure based on non-dominated sorted genetic algorithm II (NSGA-II) technique is developed for multi-objective design optimization (MODO) of flood walls. The procedure simultaneously minimizes the cost and weight of the structure, while satisfying the stability and ultimate limit state constraints. As an illustration, the developed procedure is used for an optimum design of an inverted T-type flood wall with and without considering a shear key subjected to two different load conditions. Lastly, a parametric study is conducted to evaluate the influence of soil properties and freeboard on the optimum design results.
Design Optimization of Flood Walls Using Evolutionary Algorithms
Sajedi, Siavash (author) / Sheykhloo, Pooya Allahverdizadeh (author) / Lopez, Amanda (author)
Eighth International Conference on Case Histories in Geotechnical Engineering ; 2019 ; Philadelphia, Pennsylvania
Geo-Congress 2019 ; 247-255
2019-03-21
Conference paper
Electronic Resource
English
Design Optimization of Flood Walls Using Evolutionary Algorithms
| British Library Conference Proceedings | 2019
Design Optimization of Flood Walls Using Evolutionary Algorithms
| TIBKAT | 2019
Optimization of retaining wall design using evolutionary algorithms
| British Library Online Contents | 2017
Parallel evolutionary algorithms for design optimization
| British Library Conference Proceedings | 2003