Probabilistic Modeling of Flow Over Rough Terrain  

Oleh:

Ghanem, Roger ; Hayek, Bernard

Jenis: Article from Bulletin/Magazine
Dalam koleksi: Journal of Fluids Engineering vol. 124 no. 1 (2002), page 42-50.
Topik: probabilistic thinking; probabilistic; modeling; flow; terrain

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: JJ89.4 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

This paper presents a method for the propagation of uncertainty, modeled in a probabilistic framework, through a model - based simulation of rainflow on a rough terrain. The adopted model involves a system of conservation equations with associated non linear state equations. The topography, surface runoff coefficient, and precipitation data are all modeled as spatially varying random processes. The Karhunen - Loeve expansion is used to represent these processes in terms of a denumerable set of random variables. The predicted state variables in the model are identified with their coordinates with respect to the basis formed by the Polynomial Chaos random variables. A system of linear algebraic deterministic equations are derived for estimating these coordinates.

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