Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
On the optimization of site investigation programs using centroidal Voronoi tessellation and random field theory
https://orcid.org/0000-0002-2378-9193
Abstract This work proposes a centroidal Voronoi tessellation (CVT)-based site investigation scheme, which is applicable to arbitrary site geometries and arbitrary numbers of investigation locations. A modified Lloyd algorithm is developed to generate CVT-based site investigation programs. With the data from prior site investigations, the random field statistics of a site property are estimated using a Markov chain Monte Carlo simulation-based Bayesian inference approach, and the site property at each location is estimated using Kriging interpolation. The performance of the CVT-based site investigation programs and optimization are demonstrated using two illustrative examples, namely, a square site and an irregular site.
On the optimization of site investigation programs using centroidal Voronoi tessellation and random field theory
https://orcid.org/0000-0002-2378-9193
Abstract This work proposes a centroidal Voronoi tessellation (CVT)-based site investigation scheme, which is applicable to arbitrary site geometries and arbitrary numbers of investigation locations. A modified Lloyd algorithm is developed to generate CVT-based site investigation programs. With the data from prior site investigations, the random field statistics of a site property are estimated using a Markov chain Monte Carlo simulation-based Bayesian inference approach, and the site property at each location is estimated using Kriging interpolation. The performance of the CVT-based site investigation programs and optimization are demonstrated using two illustrative examples, namely, a square site and an irregular site.
On the optimization of site investigation programs using centroidal Voronoi tessellation and random field theory
https://orcid.org/0000-0002-2378-9193
Abstract This work proposes a centroidal Voronoi tessellation (CVT)-based site investigation scheme, which is applicable to arbitrary site geometries and arbitrary numbers of investigation locations. A modified Lloyd algorithm is developed to generate CVT-based site investigation programs. With the data from prior site investigations, the random field statistics of a site property are estimated using a Markov chain Monte Carlo simulation-based Bayesian inference approach, and the site property at each location is estimated using Kriging interpolation. The performance of the CVT-based site investigation programs and optimization are demonstrated using two illustrative examples, namely, a square site and an irregular site.
On the optimization of site investigation programs using centroidal Voronoi tessellation and random field theory
Huang, Linchong (Autor:in) / Huang, Shuai (Autor:in) / Lai, Zhengshou (Autor:in)
31.10.2019
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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