Abstract—This paper presents a statistical assessment of scattered field from a building facade having random physical and geometrical parameters. A simple inhomogeneous model is considered for the building and the calculation method is based on Green’s functions. The basis of polynomial chaos expansion method is explained and applied to estimate the scattered electric field from a building facade having 8 random parameters, in specular and non-specular scenarios. Uncertainty analysis and total output distribution are discussed in different diffraction zones of the building. Index Terms—Scattering, urban environment, architectural details, uncertainty analysis, polynomial chaos I
Uncertainty exists widely in engineering design. As one of the key components of engineering design,...
Several uncertainty propagation algorithms are available in literature: (i) MonteCarlo simulations b...
When modelling any system, the input parameters of the model may be affected by a relatively large ...
International audienceThis paper presents a statistical assessment ofscattered field from a building...
International audienceA computation method based on the Green's functions associated with the interf...
The quantification of the uncertainty effect of random system parameters, such as the loading condit...
Variations in material properties, boundary conditions, or the geometry can be expected in most elec...
Uncertainty quantification is an inseparable part of risk assessment in dam engineering. Many probab...
The last decade has seen a surge in the need for uncertainty analysis (UA) for building energy asses...
This paper presents a method to predict the uncertainty associated with dynamic identification of a ...
Uncertainty quantification in Civil Engineering applications is crucial to the decision making proce...
This paper presents a method to predict the uncertainty associated with dynamic identification of a ...
Up to now, ray-tracing simulations are commonly used with a deterministic approach. Given the input ...
This paper presents a method to predict the uncertainty associated with dynamic identification of a ...
This article presents the main results of a numerical investigation on the uncertainty of dynamic re...
Uncertainty exists widely in engineering design. As one of the key components of engineering design,...
Several uncertainty propagation algorithms are available in literature: (i) MonteCarlo simulations b...
When modelling any system, the input parameters of the model may be affected by a relatively large ...
International audienceThis paper presents a statistical assessment ofscattered field from a building...
International audienceA computation method based on the Green's functions associated with the interf...
The quantification of the uncertainty effect of random system parameters, such as the loading condit...
Variations in material properties, boundary conditions, or the geometry can be expected in most elec...
Uncertainty quantification is an inseparable part of risk assessment in dam engineering. Many probab...
The last decade has seen a surge in the need for uncertainty analysis (UA) for building energy asses...
This paper presents a method to predict the uncertainty associated with dynamic identification of a ...
Uncertainty quantification in Civil Engineering applications is crucial to the decision making proce...
This paper presents a method to predict the uncertainty associated with dynamic identification of a ...
Up to now, ray-tracing simulations are commonly used with a deterministic approach. Given the input ...
This paper presents a method to predict the uncertainty associated with dynamic identification of a ...
This article presents the main results of a numerical investigation on the uncertainty of dynamic re...
Uncertainty exists widely in engineering design. As one of the key components of engineering design,...
Several uncertainty propagation algorithms are available in literature: (i) MonteCarlo simulations b...
When modelling any system, the input parameters of the model may be affected by a relatively large ...