TY - JOUR
T1 - Future inspection and deterioration prediction capabilities for buried distributed water infrastructure
AU - Makana, Lewis
AU - Shepherd, W.
AU - Tait, S.
AU - Rogers, Chris
AU - Metje, Nicole
AU - Boxall, J.B.
AU - Schellart, A.N.A
PY - 2022/8
Y1 - 2022/8
N2 - This paper examines the role for pipe deterioration prediction approaches for optimising maintenance, repair and rehabilitation of buried water supply, wastewater collection and drainage networks. It is appreciated that there are other ancillary assets within water supply and wastewater collection and drainage networks, but these were not considered in this paper. Currently there are a range of asset condition assessment frameworks, mainly based on asset defect location, identification and characterisation. These are infrequently applied in practice, mainly due to the restricted availability of asset defect inspection data. The paper reviews current deterioration modelling approaches and highlights the crucial need for broader, richer data sets (including both asset and surrounding environment data) to inform the development and application of such approaches. The paper describes what could be considered as an expanded “ideal” data set for deterioration modelling at a network and individual asset scale and indicates emerging new inspection technologies that should be capable of meeting the enhanced data needs.
AB - This paper examines the role for pipe deterioration prediction approaches for optimising maintenance, repair and rehabilitation of buried water supply, wastewater collection and drainage networks. It is appreciated that there are other ancillary assets within water supply and wastewater collection and drainage networks, but these were not considered in this paper. Currently there are a range of asset condition assessment frameworks, mainly based on asset defect location, identification and characterisation. These are infrequently applied in practice, mainly due to the restricted availability of asset defect inspection data. The paper reviews current deterioration modelling approaches and highlights the crucial need for broader, richer data sets (including both asset and surrounding environment data) to inform the development and application of such approaches. The paper describes what could be considered as an expanded “ideal” data set for deterioration modelling at a network and individual asset scale and indicates emerging new inspection technologies that should be capable of meeting the enhanced data needs.
KW - Deterioration Modelling
KW - data needs
KW - defect classification
KW - inspection capabilities
KW - wastewater collection networks
KW - water supply
UR - https://ascelibrary.org/journal/jpsea2
U2 - 10.1061/(ASCE)PS.1949-1204.0000656
DO - 10.1061/(ASCE)PS.1949-1204.0000656
M3 - Article
SN - 1949-1190
VL - 13
JO - Journal of Pipeline Systems Engineering and Practice
JF - Journal of Pipeline Systems Engineering and Practice
IS - 3
M1 - 04022020
ER -