Evaluating the deterioration of geotechnical infrastructure assets using performance curves
Evaluating the deterioration of geotechnical infrastructure assets using performance curves
Long Linear (geotechnical) Assets (LLAs) are a major component of the physical infrastructure required to deliver critical services over long distances. This existing, physical transport infrastructure is at various stages of performance and deterioration, some of which is in a poor state or reaching the end of life. This paper describes a framework for understanding deterioration processes and then evaluates the use of curves to map the performance of LLAs forming the UK’s transport infrastructure network. Detail was added to generic performance curves by considering the peer-reviewed evidence for the drivers, properties and mechanisms causing a loss of soil strength in transport infrastructure embankments. The results show that performance curves can be used to evaluate the performance of LLAs over their lifetime, to consider specific definitions of performance and to compare asset types. They provide a common language to communicate the deterioration mechanisms affecting assets or a network of assets. They provide a method to structure the planning, collection and interpretation of large volumes of ‘smart’ information describing the performance of long linear assets. This contributes to the UK’s infrastructure vision to deliver intelligent design, management and maintenance.
geotechnical, infrastructure, performance, deterioration
429-435
Thomas Telford (AICE Publishing)
Briggs, Kevin
8974f7ce-2757-4481-9dbc-07510b416de4
Dijkstra, Tom
32bcc951-6d68-4317-8c83-8335e45e67be
Glendinning, Stephanie
c0be9556-3210-4794-a36b-a483258a4b45
5 July 2019
Briggs, Kevin
8974f7ce-2757-4481-9dbc-07510b416de4
Dijkstra, Tom
32bcc951-6d68-4317-8c83-8335e45e67be
Glendinning, Stephanie
c0be9556-3210-4794-a36b-a483258a4b45
Briggs, Kevin, Dijkstra, Tom and Glendinning, Stephanie
(2019)
Evaluating the deterioration of geotechnical infrastructure assets using performance curves.
DeJong, M. J., Schooling, Jennifer M. and Viggiani, G. M. B.
(eds.)
In International Conference on Smart Infrastructure and Construction (ICSIC) 2019.
Thomas Telford (AICE Publishing).
.
(doi:10.1680/icsic.64669.429).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Long Linear (geotechnical) Assets (LLAs) are a major component of the physical infrastructure required to deliver critical services over long distances. This existing, physical transport infrastructure is at various stages of performance and deterioration, some of which is in a poor state or reaching the end of life. This paper describes a framework for understanding deterioration processes and then evaluates the use of curves to map the performance of LLAs forming the UK’s transport infrastructure network. Detail was added to generic performance curves by considering the peer-reviewed evidence for the drivers, properties and mechanisms causing a loss of soil strength in transport infrastructure embankments. The results show that performance curves can be used to evaluate the performance of LLAs over their lifetime, to consider specific definitions of performance and to compare asset types. They provide a common language to communicate the deterioration mechanisms affecting assets or a network of assets. They provide a method to structure the planning, collection and interpretation of large volumes of ‘smart’ information describing the performance of long linear assets. This contributes to the UK’s infrastructure vision to deliver intelligent design, management and maintenance.
This record has no associated files available for download.
More information
Published date: 5 July 2019
Additional Information:
International Conference on Smart Infrastructure and Construction (ICSIC), ICSIC 2019 ; Conference date: 08-07-2019 Through 08-07-2019
Keywords:
geotechnical, infrastructure, performance, deterioration
Identifiers
Local EPrints ID: 493741
URI: http://eprints.soton.ac.uk/id/eprint/493741
PURE UUID: 2ad18233-67f3-448e-a520-2da0db98b3bf
Catalogue record
Date deposited: 11 Sep 2024 17:26
Last modified: 12 Sep 2024 01:43
Export record
Altmetrics
Contributors
Author:
Kevin Briggs
Author:
Tom Dijkstra
Author:
Stephanie Glendinning
Editor:
M. J. DeJong
Editor:
Jennifer M. Schooling
Editor:
G. M. B. Viggiani
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics