Sentence examples for terrain exposure from inspiring English sources

Exact(6)

Furthermore, the model is highly sensitive to terrain exposure interacting with cardinal direction.

A numerical setup mimics the experiments carried out in the boundary layer wind tunnel for the rural, suburban, and urban terrain exposure.

Four buildings with the same plan dimensions but different heights (6, 12, 25 and 50 m) were tested in a simulated open terrain exposure for different wind directions.

The model is initialized for predictions using the current and future stocking, the specific terrain exposure and cardinal direction of the sample point centre and a constant spatial proxy representing gale wind speed.

Further, in a boundary layer wind tunnel testing, it is a common practice to use code-based prescribed aerodynamic roughness, z0, to define the terrain exposure type and to select the inflow mean velocity profiles and turbulent intensity levels.

Here we quantify how the observed positive skewness affects the terrain exposure coefficient profile for ASCE 7. The results demonstrate the need to update peak factor calculations to accurately predict extreme winds acting on low-rise buildings in built-up terrain.

Similar(52)

ABL flow, over three types of terrain exposures, is investigated using LES employing the new model.

In addition to the field monitoring, a 1 200 scaled model of the test building was tested in the wind tunnel and the envelope wind pressures were estimated for various terrain exposures.

Three low buildings, with the same plan dimensions but different gabled-roof angles (0°, 18.4°, 45°) and two different heights (i.e. full, and half eave building height) were tested in simulated open and urban terrain exposures for different wind directions (from 0° to 180° every 15°).

Ce is a number taken from a table with three terrain exposures with various heights and Ce values for each.

We analysed, using a Generalised Additive Model (GAM) and the model-selection approach Akaike Information Criterion AICC), the influence of in-situ measured depth and GIS-modelled terrain structures, wave exposure and current speed on the distribution of soft sediment measured using a Sediment Profile Image (SPI) camera.

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