STRUCTURAL ANALYSIS OF POST-DISASTER MASONRY STRUCTURES MODELED USING CLOUD2FEM SOFTWARE

Research often neglects historic and ageing infrastructure when investigating the impact of extreme wind loading and structural strengthening. This is exemplified by the ASCE 7-22 standard in the US that prescribes design loads for tornado hazard, which currently does not apply to Risk Categories (R...

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Main Authors: S. S. Kaushal, M. Gutierrez Soto, R. Napolitano
Format: Article
Language:English
Published: Copernicus Publications 2023-06-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://isprs-archives.copernicus.org/articles/XLVIII-M-2-2023/827/2023/isprs-archives-XLVIII-M-2-2023-827-2023.pdf
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author S. S. Kaushal
M. Gutierrez Soto
R. Napolitano
author_facet S. S. Kaushal
M. Gutierrez Soto
R. Napolitano
author_sort S. S. Kaushal
collection DOAJ
description Research often neglects historic and ageing infrastructure when investigating the impact of extreme wind loading and structural strengthening. This is exemplified by the ASCE 7-22 standard in the US that prescribes design loads for tornado hazard, which currently does not apply to Risk Categories (RC) 1 and 2, comprising a significant proportion of historic structures. After a disaster, analyzing these structures numerically can be difficult due to their complex geometries, use of multiple construction materials, and alterations to the original structure. This study aimed to digitally document and evaluate the damage caused by the Midwest Tornado in Kentucky in December 2021, specifically focusing on the historic downtown of Mayfield, KY. Building data was gathered using various devices, such as Unmanned Aerial Vehicle’s, LiDARs, and cameras, and converted into finite element meshes using the open-source software Cloud2FEM. Multiple meshes for the historic post office building in Mayfield, KY, was generated using varied rules within Cloud2FEM. These meshes were then simulated using Abaqus to qualitatively assess the stress concentrations observed under tornadic loading calculated using the ASCE7-22.
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spelling doaj.art-fb887d5a9082466e81b5f98f292be9c12023-06-24T18:41:09ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342023-06-01XLVIII-M-2-202382783410.5194/isprs-archives-XLVIII-M-2-2023-827-2023STRUCTURAL ANALYSIS OF POST-DISASTER MASONRY STRUCTURES MODELED USING CLOUD2FEM SOFTWARES. S. Kaushal0M. Gutierrez Soto1R. Napolitano2Department of Architectural Engineering, Pennsylvania State University, USASchool of Engineering Design and Innovation, Pennsylvania State Universty, USADepartment of Architectural Engineering, Pennsylvania State University, USAResearch often neglects historic and ageing infrastructure when investigating the impact of extreme wind loading and structural strengthening. This is exemplified by the ASCE 7-22 standard in the US that prescribes design loads for tornado hazard, which currently does not apply to Risk Categories (RC) 1 and 2, comprising a significant proportion of historic structures. After a disaster, analyzing these structures numerically can be difficult due to their complex geometries, use of multiple construction materials, and alterations to the original structure. This study aimed to digitally document and evaluate the damage caused by the Midwest Tornado in Kentucky in December 2021, specifically focusing on the historic downtown of Mayfield, KY. Building data was gathered using various devices, such as Unmanned Aerial Vehicle’s, LiDARs, and cameras, and converted into finite element meshes using the open-source software Cloud2FEM. Multiple meshes for the historic post office building in Mayfield, KY, was generated using varied rules within Cloud2FEM. These meshes were then simulated using Abaqus to qualitatively assess the stress concentrations observed under tornadic loading calculated using the ASCE7-22.https://isprs-archives.copernicus.org/articles/XLVIII-M-2-2023/827/2023/isprs-archives-XLVIII-M-2-2023-827-2023.pdf
spellingShingle S. S. Kaushal
M. Gutierrez Soto
R. Napolitano
STRUCTURAL ANALYSIS OF POST-DISASTER MASONRY STRUCTURES MODELED USING CLOUD2FEM SOFTWARE
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title STRUCTURAL ANALYSIS OF POST-DISASTER MASONRY STRUCTURES MODELED USING CLOUD2FEM SOFTWARE
title_full STRUCTURAL ANALYSIS OF POST-DISASTER MASONRY STRUCTURES MODELED USING CLOUD2FEM SOFTWARE
title_fullStr STRUCTURAL ANALYSIS OF POST-DISASTER MASONRY STRUCTURES MODELED USING CLOUD2FEM SOFTWARE
title_full_unstemmed STRUCTURAL ANALYSIS OF POST-DISASTER MASONRY STRUCTURES MODELED USING CLOUD2FEM SOFTWARE
title_short STRUCTURAL ANALYSIS OF POST-DISASTER MASONRY STRUCTURES MODELED USING CLOUD2FEM SOFTWARE
title_sort structural analysis of post disaster masonry structures modeled using cloud2fem software
url https://isprs-archives.copernicus.org/articles/XLVIII-M-2-2023/827/2023/isprs-archives-XLVIII-M-2-2023-827-2023.pdf
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