Application of Nonlinear Consolidation Theory to Investigate Slurry/Marsh Soil Consolidation Behavior at Louisiana Coast

This study delves into the consolidation behavior of Louisiana marsh soil, employing a one-dimensional nonlinear approach and leveraging data from ongoing wetland restoration projects and a series of laboratory experiments.A precise model is developed to accurately predict slurry/marsh consolidation, guided by tactful interpretations of oedometer test results and incorporating specific parameters tailored for large strain consolidation.The research draws on Gibson's nonlinear consolidation theory, implemented in MATLAB, which accounts for essential factors such as the finite strain coefficient of consolidation (), variable compressibility coefficients (λ), and other soil properties.The study reaffirms the model's robustness through validation against laboratory and field data.The findings, encompassing settlement-time curves, degree of consolidation-time profiles, and void ratio fluctuations along with depth, provide indispensable tools for field engineers in estimating allowable loads, predicting settlement, and designing coastal restoration projects.This contribution enhanced the understanding of self-weight consolidation in geotechnical engineering practices.This research has significant implications for advancing coastal restoration strategies and the sustainable management of wetlands.