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Experimental and Analytical Modeling of the Spatio-Temporal Surface Pressure Distributions on Air-Permeable Building Cladding Systems.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Experimental and Analytical Modeling of the Spatio-Temporal Surface Pressure Distributions on Air-Permeable Building Cladding Systems./
Author:	Lafontaine, Oscar.
Description:	1 online resource (145 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 84-12, Section: B.
Contained By:	Dissertations Abstracts International84-12B.
Subject:	Civil engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30245957click for full text (PQDT)
ISBN:	9798379755126

Experimental and Analytical Modeling of the Spatio-Temporal Surface Pressure Distributions on Air-Permeable Building Cladding Systems.
Lafontaine, Oscar.

Experimental and Analytical Modeling of the Spatio-Temporal Surface Pressure Distributions on Air-Permeable Building Cladding Systems. - 1 online resource (145 pages)

Source: Dissertations Abstracts International, Volume: 84-12, Section: B.

Thesis (Ph.D.)--University of Florida, 2023.

Includes bibliographical references

Severe hurricane events continue to drive major economic losses in residential structures. Recent post hurricane damage assessments have observed a lack of structural damage in buildings due to building code advancements but have damage to building envelope systems (i.e., wall cladding and roofing) which can lead to significant and mounting economic losses from wind driven rain, and damage to building contents. In the United States, the most used typically cladding materials for residential structures are multi-layer air-permeable cladding systems which consist of individual panels or shingles that are linked together to form durable weather-resistive coverings. These systems allow the passage of air from the exterior layer of the cladding to the interior/cavity layer which difficulties the process of obtaining design wind loads. Current test standards have instead relied simplified component tests that utilize static and uniform pressures (same pressure in the entire chamber) which do not represent realistic spatio-temporal wind loads. Design wind loads obtained from these standard tests may be unconservative and may be the root for the observed failures after hurricane events.This dissertation seeks to advance the current understanding and methodologies for determining design wind loads on air-permeable cladding by proposing a novel approach which combines validated experimental research data and analytical research methods. The research work seeks to develop a standardized and consistent methodology for testing any air-permeable cladding material and evaluate their wind performance; 2) develop and validate a machine learning model capable of predicting net pressure wind loads for wide variety of loading conditions in air-permeable cladding materials; 3) develop an integrated probabilistic based framework for determination of design level PEFs in air-permeable cladding. The research firstly demonstrates that the multi-chamber test setup is a feasible methodology to simulate the spatio-temporal wind loading on air-permeable cladding systems. Furthermore, the multi-chamber test system can be used in a repeatable and standardized manner by matching the spatial gradient content with simplified loading. Lastly, the research contributes to the best of the authors knowledge, the first integrated probabilistic framework with stochastic simulation techniques and artificial neural network models for the determination of design level PEFs. Following this approach, PEFs are determined using a more robust approach since and based on structural reliability concepts.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798379755126Subjects--Topical Terms:

860360
Civil engineering.
Subjects--Index Terms:

Air-permeable claddingIndex Terms--Genre/Form:

542853
Electronic books.

Experimental and Analytical Modeling of the Spatio-Temporal Surface Pressure Distributions on Air-Permeable Building Cladding Systems.
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