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Dataset: Water-flume model geometries of a tall-building cluster in Beijing

Dataset: Water-flume model geometries of a tall-building cluster in Beijing
Dataset: Water-flume model geometries of a tall-building cluster in Beijing
This dataset contains CAD drawings (.stl files) of five geometry variations of a cluster of tall buildings in Beijing. The dimensions are in model scale (S1 = 1:2400; S2 = 1:4800) and have units of mm. The models were used in water-flume experiments at the University of Southampton in collaboration with the University of Reading (flow and concentration measurements). This repository contains: wf_geometry_readme.pdf : Meta information and description of data in 'wf_geometry.zip' wf_geometry.zip : model drawings (.stl files)
Zenodo
Hertwig, Denise
ab9e5287-12f6-40fe-a50c-fae4c368ab67
Kent, Christoph W.
5d28fb05-be77-4686-8a0e-9a8a2613c226
Grimmond, Sue
3098dbd0-f169-4f59-a8e3-21d343548cb6
Gough, Hannah L.
c9fa868b-c314-42d8-9781-ae758078ef32
Vanderwel, Christina
fbc030f0-1822-4c3f-8e90-87f3cd8372bb
Hertwig, Denise
ab9e5287-12f6-40fe-a50c-fae4c368ab67
Kent, Christoph W.
5d28fb05-be77-4686-8a0e-9a8a2613c226
Grimmond, Sue
3098dbd0-f169-4f59-a8e3-21d343548cb6
Gough, Hannah L.
c9fa868b-c314-42d8-9781-ae758078ef32
Vanderwel, Christina
fbc030f0-1822-4c3f-8e90-87f3cd8372bb

(2020) Dataset: Water-flume model geometries of a tall-building cluster in Beijing. Zenodo doi:10.5281/zenodo.3768763 [Dataset]

Record type: Dataset

Abstract

This dataset contains CAD drawings (.stl files) of five geometry variations of a cluster of tall buildings in Beijing. The dimensions are in model scale (S1 = 1:2400; S2 = 1:4800) and have units of mm. The models were used in water-flume experiments at the University of Southampton in collaboration with the University of Reading (flow and concentration measurements). This repository contains: wf_geometry_readme.pdf : Meta information and description of data in 'wf_geometry.zip' wf_geometry.zip : model drawings (.stl files)

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More information

Published date: 27 April 2020

Identifiers

Local EPrints ID: 471334
URI: http://eprints.soton.ac.uk/id/eprint/471334
PURE UUID: e7bff9b8-7979-401d-bbdc-5bb73034e4dd
ORCID for Christina Vanderwel: ORCID iD orcid.org/0000-0002-5114-8377

Catalogue record

Date deposited: 03 Nov 2022 17:43
Last modified: 06 May 2023 01:50

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Contributors

Contributor: Denise Hertwig
Contributor: Christoph W. Kent
Contributor: Sue Grimmond
Contributor: Hannah L. Gough
Contributor: Christina Vanderwel ORCID iD

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