Sustainable dike adaptation measures using finite element method and optimization algorithm NSGA-II

First published in
Lecture notes in civil engineering 
Number in series
395
Start Page
2077
End Page
2091
Citation
Proceedings of the 5th International Conference on Geotechnics for Sustainable Infrastructure Development, GEOTEC 2023: 2077-2091 (2024)
Contribution to Conference
5th International Conference on Geotechnics for Sustainable Infrastructure Development, GEOTEC 2023 
Publisher DOI
10.1007/978-981-99-9722-0_139
Scopus ID
2-s2.0-85200743826
Publisher
Springer
ISBN
9789819997213
Given the context of climate change, it is imperative to adapt the majority of existing flood defence systems using sustainable methods. Multi-objective evolutionary algorithms, like NSGA-II, offer a valuable decision support tool for exploring different designs based on predefined objectives. This paper specifically examines the application of the NSGA-II optimization algorithm in geotechnical problems by integrating it with FEM simulations, where slope horizontal runs are considered as variables. Throughout the study, different sets of termination criteria are employed to optimize the reduction of structural exploitation and the expected CO2 footprint.
Schlagworte
Dikes
Multi-objective optimization
NSGA-II
SRFEA
Sustainable adaptation measures
DDC Class
624.15: Geotechnical Engineering