{"help": "https://data.gov.au/data/en/api/3/action/help_show?name=package_show", "success": true, "result": {"archived": false, "author_email": null, "contact_point": "clientservices@ga.gov.au", "creator_user_id": "c2fbbe4a-4ba0-4945-808b-67454605a4cf", "duplicate_score": 2, "geospatial_topic": [], "id": "425a4857-4856-4075-b39e-9cec37cb5b36", "isopen": false, "language": "", "license_id": "notspecified", "license_title": "notspecified", "maintainer": null, "maintainer_email": null, "metadata_created": "2025-10-16T11:12:05.958894", "metadata_modified": "2025-10-16T11:12:05.958901", "name": "quantitative-modelling-of-vulnerability-to-severe-wind", "notes": "Modelling of the risk posed by the impacts of extreme weather events requires knowledge of the vulnerability, or performance, of building assets. Furthermore, to assess the benefits of mitigation an ability to quantitatively model the change in vulnerability associated with mitigation actions is required. In Australia past efforts at establishing vulnerability relationships between building damage and severe wind have centred on empirical techniques, using data from damage surveys or insurance losses, and heuristic techniques. Neither of these methods permits the change in vulnerability afforded by mitigation work to be quantitatively modelled.\nThe Bushfire and Natural Hazards CRC project \u201cImproving the Resilience of Existing Housing to Severe Wind Events\u201d is developing a software tool, Vulnerability and Adaption to Wind Simulation (VAWS), to provide a quantitative vulnerability model for Australian house types. It is based on the premise that overall building damage is strongly related to the failure of key connections. The software uses a Monte Carlo approach whereby numerous realisations of a single generic house type are subjected to an increasing gust wind speed and the loss at each wind speed is calculated. Each realisation of the house varies from others as many key building parameters, such as connection strength, are sampled from probability distributions.\nFor each instance, at each wind speed, the number and type of failed connections are related to damage states and extents of damage which permits the repair cost to be calculated. The repair cost is adjusted for the repair of debris impact damage and water ingress damage. The modelling of mitigation is easily accomplished by rerunning a house modelled with the probability distribution of an upgraded connection\u2019s strength substituted.\nThe software tool provides quantitative measures of reduced vulnerability that can be used in assessing the incremental effectiveness of a range of mitigation strategies in economic terms.\nAbstract submitted to/presented at AMOS-ICSHMO 2018 (https://www.ametsoc.org/index.cfm/ams/meetings-events/ams-meetings/amos-icshmo-2018/)", "num_resources": 2, "num_tags": 6, "organization": {"id": "91f054ec-d0c3-4d42-a89a-5daa2c7a6818", "name": "geoscience-australia-data", "title": "Geoscience Australia Data", "type": "organization", "description": "Harvester for Geoscience Australia Data", "image_url": "", "created": "2025-06-23T12:29:08.024111", "is_organization": true, "approval_status": "approved", "state": "active"}, "original_harvest_source": {"site_url": "https://ecat.ga.gov.au", "href": "https://ecat.ga.gov.au/geonetwork/srv/eng/csw/dataset/quantitative-modelling-of-vulnerability-to-severe-wind", "title": "Geoscience Australia"}, "owner_org": "91f054ec-d0c3-4d42-a89a-5daa2c7a6818", "private": false, "promotion_level": "0", "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[-180.0, -90.0], [180.0, -90.0], [180.0, 90.0], [-180.0, 90.0], [-180.0, -90.0]]]}", "spatial_coverage": "{\"type\": \"Polygon\", \"coordinates\": [[[-180.0, -90.0], [180.0, -90.0], [180.0, 90.0], [-180.0, 90.0], [-180.0, -90.0]]]}", "state": "active", "temporal_coverage_from": "2017-08-22 02:01:19", "title": "Quantitative Modelling of Vulnerability to Severe Wind", "type": "dataset", "unpublished": false, "url": null, "version": null, "extras": [{"key": "harvest_object_id", "value": "797f7edd-d4ae-4f31-91f0-efceffe490ca"}, {"key": "harvest_source_id", "value": "00080910-39e7-408f-882c-e6e1eb6baadb"}, {"key": "harvest_source_title", "value": "Geoscience Australia"}], "resources": [{"cache_last_updated": null, "cache_url": null, "created": "2025-10-16T11:12:05.961385", "datastore_active": false, "datastore_contains_all_records_of_source_file": false, "description": "Link to Conference Page", "format": "HTML", "hash": "", "id": "fcb88f2c-1fc6-46b4-acde-182759d1a6b9", "last_modified": null, "metadata_modified": "2025-10-16T11:12:05.950583", "mimetype": null, "mimetype_inner": null, "name": "Link to Conference Page", "package_id": "425a4857-4856-4075-b39e-9cec37cb5b36", "position": 0, "resource_locator_function": "", "resource_locator_protocol": "WWW:LINK-1.0-http--link", "resource_type": null, "size": null, "state": "active", "url": "https://www.ametsoc.org/index.cfm/ams/meetings-events/ams-meetings/amos-icshmo-2018/", "url_type": null, "zip_extract": false}, {"cache_last_updated": null, "cache_url": null, "created": "2025-10-16T11:12:05.961389", "datastore_active": false, "datastore_contains_all_records_of_source_file": false, "description": "Link to Abstract", "format": "PDF", "hash": "", "id": "1ab9541e-0ee5-4c0e-b669-9a95e3e7228d", "last_modified": null, "metadata_modified": "2025-10-16T11:12:05.950758", "mimetype": null, "mimetype_inner": null, "name": "Link to Abstract", "package_id": "425a4857-4856-4075-b39e-9cec37cb5b36", "position": 1, "resource_locator_function": "", "resource_locator_protocol": "WWW:LINK-1.0-http--link", "resource_type": null, "size": null, "state": "active", "url": "https://efml.kaist.ac.kr/ppt/Draft_Abstract_Book_Orals_v3.pdf", "url_type": null, "zip_extract": false}], "tags": [{"display_name": "Bushfire and Natural Hazards CRC project", "id": "d1e6fd47-9002-457d-a3f0-c9b0ad9c664e", "name": "Bushfire and Natural Hazards CRC project", "state": "active", "vocabulary_id": null}, {"display_name": "EARTH SCIENCES", "id": "927af2a7-7457-45c2-bd55-10000fd09c14", "name": "EARTH SCIENCES", "state": "active", "vocabulary_id": null}, {"display_name": "Published_External", "id": "5178775c-8044-4b7f-881f-5428a4e2d925", "name": "Published_External", "state": "active", "vocabulary_id": null}, {"display_name": "Vulnerability and Adaption to Wind Simulation - VAWS", "id": "5ed77f86-9bc6-48e4-997a-590e68c6abc9", "name": "Vulnerability and Adaption to Wind Simulation - VAWS", "state": "active", "vocabulary_id": null}, {"display_name": "extreme weather", "id": "895f551e-cb61-435d-9237-7a2eca722381", "name": "extreme weather", "state": "active", "vocabulary_id": null}, {"display_name": "vulnerability", "id": "6ba16fb7-997c-48f0-b905-42fed4453393", "name": "vulnerability", "state": "active", "vocabulary_id": null}], "groups": [], "relationships_as_subject": [], "relationships_as_object": []}}