Performance of Low-Rise Construction under Wind and Coastal Hazards during the Landfall of Hurricane Harvey

Kijewski-Correa, Tracy; Gong, Jianhua; Kennedy, Andrew; Womble, J. Arn; Cai, C.S.; Cleary, Jon; Dao, Thang N.; Leite, Fabiana S.; Liang, Daan; Peterman, Karen; Sun, Cai; Taflanidis, Alex; Wood, Richard L.

doi:10.1061/9780784482018.098

Cited by 7 publications

(4 citation statements)

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“…Alternatively, when scanning the interior of the library, each successive scan station was placed within 10m from the previous scan due to increased probability of occlusion indoors. In the past, this sensor has been used in studying the performance of low rise construction under wind and coastal hazards during the landfall of hurricane Harvey near Rockport, Texas, USA (Kijewski-Correa et al, 2018 After scanning the entire library (interior and exterior), the resulting point cloud data was found to have 483,292,994 points. The points in this point cloud also had spectral (RGB) information associated with them since this scanner also enables the capture of spectral information by means of a high dynamic range (HDR) capable camera of up to 165 megapixels.…”

Section: Tls Datamentioning

confidence: 99%

Building Information Modelling of a Multi Storey Building Using Terrestrial Laser Scanner and Visualisation Using Potree: An Open Source Point Cloud Renderer

Kumar

Noufia

Shahira

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. With the rapid development in infrastructure, the need to document man-made structures is in increasing demand and inevitable. Such a process of digital documentation of buildings is called Building Information Modelling (BIM). Conventional techniques of BIM involve manual drafting & modelling using computer aided design, drafting & modelling software. Although these techniques are more accurate, given the increase in the size and complexity of modern structures, it would be tedious and time consuming for such manual work. It is in this context LiDAR shows great potential to simplify this task. Laser scanning enables rapid mapping of a building with a high degree of spatial accuracy. Since the spatial point sampling distance of any LiDAR scanner is usually in the order of centimetres or millimetres, this has potential not only to generate high density scans of the building but also to identify even the smallest defects in a structure. This facilitates using LiDAR to study the serviceability of a building. In this project, the feasibility of using a terrestrial laser scanner (TLS) to scan a multi-storey building was investigated. Additionally, the reliability of Potree for visualising point cloud data was tested. Potree is an open-source WebGL based point cloud renderer. Potree enables us to render point clouds and visualise in a portable web application. This application is also capable of making measurements of high accuracy on the 3D model of the library. This could serve to be of great utility in surveying applications. The object of study was chosen as a six-storey building, each floor having differing layouts. Two of these storeys were below ground surface level which also proved to be a test for the reliability of TLS in challenging terrain. The building has a towering height and large footprint which made it a perfect candidate for this project. A total of 54 scans (44 interior scans and 10 exterior scans of the library) were acquired with each subsequent scan station not more than 10m apart from the previous one. This data was brought to the lab for further processing. The processing was carried out using open-source software packages (LAStools, CloudCompare, etc). After processing, the complete point cloud data had 483,292,994 points. In order to make the data easier to handle, spatial sub-sampling of the data was done after which the final point cloud had 87,789,548 points. Finally, this sub-sampled point cloud was published using the open source Potree Converter into an interactive web application.

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Section: Tls Datamentioning

confidence: 99%

Building Information Modelling of a Multi Storey Building Using Terrestrial Laser Scanner and Visualisation Using Potree: An Open Source Point Cloud Renderer

Kumar

Noufia

Shahira

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Lidar has seen notable applications in detailed analysis of earthquake and tsunami effects (Olsen et al, 2012;Chock et al, 2013;Brando et al, 2015;Wood and Mohammadi, 2015;Bose et al, 2016;He et al, 2016) as well as stormsurge actions (Hatzikyriakou et al, 2015). Lidar has also seen use in the collection of recent tornado and hurricane damage data (Prevatt et al, , 2013Graettinger et al, 2012;Wood and Mohammadi, 2015;Womble et al, 2016;Kijewski-Correa et al, 2018). Lidar provides copious amounts of 3D data for damaged structures but, at present, is relatively slow compared to other data-collection technologies; for optimal analysis of widespread damage.…”

Section: Lidar Technologymentioning

confidence: 99%

Multi-Scale Remote Sensing of Tornado Effects

Womble

Wood

Mohammadi

2018

Front. Built Environ.

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To achieve risk-based engineered structural designs that provide safety for life and property from tornadoes, sufficient knowledge of tornado wind speeds and wind flow characteristics is needed. Currently, sufficient understanding of the magnitude, frequency, and velocity structure of tornado winds remain elusive. Direct measurements of tornado winds are rare and nearly impossible to acquire, and the pursuit of in situ wind measurements can be precarious, dangerous, and even necessitating the development of safer and more reliable means to understand tornado actions. Remote-sensing technologies including satellite, aerial, lidar, and photogrammetric platforms, have demonstrated an ever-increasing efficiency for collecting, storing, organizing, and communicating tornado hazards information at a multitude of geospatial scales. Current remote-sensing technologies enable wind-engineering researchers to examine tornado effects on the built environment at various spatial scales ranging from the overall path to the neighborhood, building, and ultimately member and/or connection level. Each spatial resolution contains a unique set of challenges for efficiency, ease, and cost of data acquisition and dissemination, as well as contributions to the body of knowledge that help engineers and atmospheric scientists better understand tornado wind speeds. This paper examines the use of remote sensing technologies at four scales in recent tornado investigations, demonstrating the challenges of data collection and processing at each level as well as the utility of the information gleaned from each level in advancing the understanding of tornado effects.

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“…In most areas of the US, 90% of single-family and low-density residential construction is light-frame wood construction (McKeever and Elling, 2015). Such construction is especially vulnerable to the impacts of tropical cyclones (Kijewski et al, 2018), as shown by its performance in recent major hurricanes 1 -Hurricane Andrew (1992), Hurricane Katrina (2005), Hurricane Ike (2008), Hurricane Matthew (2016), Hurricane Harvey (2017), Hurricane Irma (2017), andHurricane Michael (2018), to name a few. Notwithstanding the changes in residential building construction in the past three decades (IRC, 2018;WFCM, 2018), losses to residential construction remain disproportionately high compared with other engineering building constructions.…”

Section: Introduction Backgroundmentioning

confidence: 99%

Achieving Residential Coastal Communities Resilient to Tropical Cyclones and Climate Change

Adhikari

Abdelhafez

Dong

et al. 2021

Front. Built Environ.

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Coastal cities in the Southeast and Gulf Coast of the United States are at an increased risk of tropical cyclones (hurricanes) due to the combined effects of urbanization, rapid economic development, and climate change. Current building codes and standards focus on minimum performance criteria for individual buildings exposed to severe hazard events to ensure occupant safety. However, they do not consider the resilience of buildings and building portfolios, which are key factors in determining whether a community can respond to and recover from a severe natural hazard event. Light-frame wood residential buildings dominate the residential market in the US, represent a significant percentage of the investment in the built environment, and are especially vulnerable to hurricane winds and storm surge in coastal areas. Our study of the impact of various hurricane and climate change scenarios on the performance of coastal residential communities reveals that decision-making at the community level is needed to develop rational engineering and urban planning policies, to mitigate the impact of hurricane wind and storm surge, and to adapt to climate change. The results suggest that fundamental changes in the current building regulatory process may be necessary.

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Performance of Low-Rise Construction under Wind and Coastal Hazards during the Landfall of Hurricane Harvey

Cited by 7 publications

References 0 publications

Building Information Modelling of a Multi Storey Building Using Terrestrial Laser Scanner and Visualisation Using Potree: An Open Source Point Cloud Renderer

Building Information Modelling of a Multi Storey Building Using Terrestrial Laser Scanner and Visualisation Using Potree: An Open Source Point Cloud Renderer

Multi-Scale Remote Sensing of Tornado Effects

Achieving Residential Coastal Communities Resilient to Tropical Cyclones and Climate Change

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