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A Generalized Model-Free Framework f...

DeMello, Neandro,

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A Generalized Model-Free Framework for Assessing Scour-Induced Bridge Pier Instability /

Record Type:	Electronic resources : Monograph/item
Title/Author:	A Generalized Model-Free Framework for Assessing Scour-Induced Bridge Pier Instability // Neandro DeMello.
Author:	DeMello, Neandro,
Description:	1 electronic resource (164 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 86-02, Section: B.
Contained By:	Dissertations Abstracts International86-02B.
Subject:	Hydrologic sciences. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31238621
ISBN:	9798383674727

A Generalized Model-Free Framework for Assessing Scour-Induced Bridge Pier Instability /
DeMello, Neandro,

A Generalized Model-Free Framework for Assessing Scour-Induced Bridge Pier Instability /Neandro DeMello. - 1 electronic resource (164 pages)

Source: Dissertations Abstracts International, Volume: 86-02, Section: B.

Flood-induced scour is one of the leading causes of bridge failures in the United States, accounting for 53% of recorded failures between 1989 and 2000. However, performing real-time stability assessment for a scoured bridge ahead of an incoming storm event is not yet practical. Because detailed assessment has previously required finite element (FE) models to be created and analyzed, performing structural risk assessment using fragility-based approaches can quickly become too computationally expensive, especially if multiple bridges are considered.This research presents a novel proof-of-concept, model-free bridge pier structural assessment framework that can be used to evaluate risk during a storm event or as part of planning exercises. This framework is built on a pre-generated library of bridge pier failure surfaces - curves that define failure limits for combinations of scour, wind speed, and surge heights - for a range of structural configurations and site conditions. Initial user input is limited to readily available structural and in-situ soil information, from which a corresponding bridge-specific failure surface is generated. Storm forecast data is then used to perform fragility-based risk assessment through Monte Carlo simulations, thus quickly providing maintenance engineers with actionable information for the bridge of interest during a storm event.In this study, the procedures for creating the library of failure surfaces are presented. Also presented are discussions on how parameter spaces were defined and limited when creating the library. Creation of the framework and failure surface library focused on pile bent pier designs, due to their widespread use in Florida. A broad scope of parameters was modeled such that common configurations of pier bent bridge designs and site conditions were considered. To overcome the challenge of modeling all possible combinations of soil profiles, a homogenization technique was developed that takes SPT boring log reports as inputs. Results from three case-study bridges are also presented to verify that the resulting assessment framework maintained reasonable representation of structural response. Lastly, using one of the case-study bridges, a demonstration of the risk assessment procedure with assessment outputs (fragility curves) for two storm events (Hurricanes Idalia and Ian) are presented and discussed.

English

ISBN: 9798383674727Subjects--Topical Terms:

3168407
Hydrologic sciences.
Subjects--Index Terms:

Flood-induced scour

A Generalized Model-Free Framework for Assessing Scour-Induced Bridge Pier Instability /
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520 $a Flood-induced scour is one of the leading causes of bridge failures in the United States, accounting for 53% of recorded failures between 1989 and 2000. However, performing real-time stability assessment for a scoured bridge ahead of an incoming storm event is not yet practical. Because detailed assessment has previously required finite element (FE) models to be created and analyzed, performing structural risk assessment using fragility-based approaches can quickly become too computationally expensive, especially if multiple bridges are considered.This research presents a novel proof-of-concept, model-free bridge pier structural assessment framework that can be used to evaluate risk during a storm event or as part of planning exercises. This framework is built on a pre-generated library of bridge pier failure surfaces - curves that define failure limits for combinations of scour, wind speed, and surge heights - for a range of structural configurations and site conditions. Initial user input is limited to readily available structural and in-situ soil information, from which a corresponding bridge-specific failure surface is generated. Storm forecast data is then used to perform fragility-based risk assessment through Monte Carlo simulations, thus quickly providing maintenance engineers with actionable information for the bridge of interest during a storm event.In this study, the procedures for creating the library of failure surfaces are presented. Also presented are discussions on how parameter spaces were defined and limited when creating the library. Creation of the framework and failure surface library focused on pile bent pier designs, due to their widespread use in Florida. A broad scope of parameters was modeled such that common configurations of pier bent bridge designs and site conditions were considered. To overcome the challenge of modeling all possible combinations of soil profiles, a homogenization technique was developed that takes SPT boring log reports as inputs. Results from three case-study bridges are also presented to verify that the resulting assessment framework maintained reasonable representation of structural response. Lastly, using one of the case-study bridges, a demonstration of the risk assessment procedure with assessment outputs (fragility curves) for two storm events (Hurricanes Idalia and Ian) are presented and discussed.
546 $a English
590 $a School code: 0070
650 4 $a Hydrologic sciences. $3 3168407
650 4 $a Geotechnology. $3 1018558
653 $a Flood-induced scour
653 $a Storm forecast
653 $a Pier bent bridge
690 $a 0543
690 $a 0388
690 $a 0428
710 2 $a University of Florida. $b Civil Engineering. $e degree granting institution. $3 3815842
720 1 $a Bridge, Jennifer $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 86-02B.
790 $a 0070
791 $a Ph.D.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31238621