Improved assessment of maximum streamflow for risk management of hydraulic infrastructures. A case study

Bento, Ana Margarida; Gomes, Andreia; Pêgo, João Pedro; Viseu, Teresa; Couto, Lúcia

doi:10.1080/15715124.2021.2016783

Cited by 3 publications

(1 citation statement)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, several authors (SMITH 1976;Biezma and Schanack 2007;Proske 2017) have presented statistics showing that flood is the most frequent cause of bridge failure. Unfortunately, the frequency of floods has increased worldwide, resulting in economic losses and human casualties (Douben 2006;Yang and Frangopol 2018;Bento et al 2020Bento et al , 2021. Even in areas of low flood risk, structures along watercourses remain vulnerable.…”

Section: Introductionmentioning

confidence: 99%

Scour Analysis in a Climate Change Context Using Artificial Neural Networks

Baron

Bento

Matos

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

Global climate change can create uncertainty and affect local weather patterns, which in turn can increase the frequency and severity of extreme weather events such as flooding. Flooding is considered one of the major causes of bridge collapse and it is important to ensure the safety and functionality of these structures against such hazards. This paper presents a methodology for an artificial neural network that can estimate peak flow discharge by analyzing a projected precipitation database and considering various parameters related to climate change uncertainties. The results of the machine learning model can then be used in a hydraulic model to identify flood-prone areas and estimate hydraulic parameters such as flow velocity and water column height using a geographic information system. In addition, the methodology can evaluate the most significant and recurring impact of flooding on bridges, namely the scouring process. The proposed methodology was tested in a masonry arch bridge case study in Portugal. The results show the effectiveness of the methodology in predicting flood risk and assessing the potential impact on bridge safety and functionality.

show abstract

Section: Introductionmentioning

confidence: 99%

Scour Analysis in a Climate Change Context Using Artificial Neural Networks

Baron

Bento

Matos

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

Comparison of risk-based methods for bridge scour management

Pregnolato

Giordano

Prendergast

et al. 2023

Sustainable and Resilient Infrastructure

View full text Add to dashboard Cite

Effect of bridge foundation stiffness on dynamic behavior of bridge structure

Quang,

Sousa,

Duc

et al. 2023

IABSE Congress, New Delhi 2023: Engineering for Sustainable Development

View full text Add to dashboard Cite

<p>Problems affecting the foundation of a bridge are always difficult to see because the structure is on the ground or covered by water flow. Scouring around piers and abutments can lead to unpredictable consequences that can result in sudden collapse of the structure. In this paper, the effect of foundation stiffness (before and after the bridge repair works} on the dynamic response of the bridge structure is investigated. The results will help to diagnose the bridge foundation in the future. Based on the results of span monitoring before and after repair works combined with numerical model analysis on a bridge in Vietnam, the effects of scouring at the bridge piers are determined. The research results reveal that the dynamic responses of the structure make it possible to detect damage to the foundation and determine whether scour is likely to occur in the vicinity of the bridge foundations.</p>

show abstract

Improved assessment of maximum streamflow for risk management of hydraulic infrastructures. A case study

Cited by 3 publications

References 22 publications

Scour Analysis in a Climate Change Context Using Artificial Neural Networks

Scour Analysis in a Climate Change Context Using Artificial Neural Networks

Comparison of risk-based methods for bridge scour management

Effect of bridge foundation stiffness on dynamic behavior of bridge structure

Contact Info

Product

Resources

About