Mr. Oliver Riches Profile

Oliver Riches

at Arup

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 23 April 2020 Presentation + Paper

A Bayesian network-based decision framework for managing bridge scour risk

Andrea Maroni, Enrico Tubaldi, Dimitry Val, Hazel McDonald, Stewart Lothian, Oliver Riches, Daniele Zonta

Proceedings Volume 11379, 1137909 (2020) https://doi.org/10.1117/12.2558016

KEYWORDS: Bayesian inference, Bridges, Decision support systems, Structural health monitoring

Read Abstract +

22 bridges fail every year on average in the USA because of scour, whereas in the UK soil erosion was the cause of 138 collapses of bridges in the last century. These digits fully explain why flood-induced scour is the leading cause of bridge failures worldwide. Scour assessments are currently based on visual inspections, which are expensive, and provide qualitative and subjective information. SHM offers the possibility to measure scour depth at any location of a bridge network; yet monitoring an entire infrastructure network is not economically feasible. In this paper, we propose a Decision Support System (DSS) for bridge scour management that achieves a more confined estimate of the scour risk for a bridge network through a probabilistic approach. A Bayesian Network (BN) is used to estimate, and update, the scour depth using real-time information from limited number of scour monitoring systems (SMSs) and river flow characteristics. Data collected by SMSs and BN’s outcomes are then used to inform a decision model and thus support transport agencies’ decision frameworks. The idea is to use this information to update the scour threshold after which bridges are closed. An infrastructure network, consisting of three bridges in Scotland, is built to test the functioning of the DSS. They cross the same river and Only one bridge is instrumented with a SMS. The BN is found to estimate the scour depth at unmonitored bridges and the decision model provides higher values of scour threshold compared to the ones implicitly chosen by transport agencies.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years