Optimal and adaptive planning of geotechnical construction: Preloading of a road embankment

Projekt:

BIG A2020-03 Beslutsteori i geotekniken – etapp 1: optimal överlast

Sammanfattning:
To optimally design a geotechnical engineering structure, an iterative decision-making process is required due to the prevailing uncertainty of the ground conditions. In this paper, the authors show that such sequential decision making processes can be analyzed and optimized quantitatively, exemplifying with the design of a surcharge for an embankment on soft soil. The paper proposes a risk-based decision-theoretic approach to finding the optimal preloading sequence, i.e. finding the optimal surcharge height and, when needed, adapting it to the observed settlement. Adopting heuristics – a parametric description of preloading strategies – the approach balances the cost of surcharge material against financial penalties related to project delays and insufficient overconsolidation, which causes damage due to creep. The result is a preloading strategy that optimally accounts for information obtained from planned settlement measurements. The preloading planning problem is solved for different decision settings, going from optimizing a constant surcharge height, to finding the optimal time for adjusting the surcharge. The findings highlight the potential of using risk-based decision planning in geotechnical engineering, in particular in combination with the observational method.

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Författare: Elizabeth Bismut, Dafydd Cotoarba, Johan Spross, Daniel Straub
Utgivare: Computers and Geotechnics
Utgivningsdatum: 2022-08-11
Diarienummer: TRV 2020/48425
Antal sidor: 35
Språk: Engelska
Kontaktperson: Kenneth Viking, IVta4
Beställ från: Computers and Geotechnics