our asset management journey...12 markov structural deterioration finding •average of age (sample)...
TRANSCRIPT
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Our Asset Management Journey
Professor Sujeeva Setunge
Deputy Dean, Research and Innovation
School of Engineering
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RMIT Journey in Infrastructure Asset
Management
• Central Asset Management System (CAMS) for Buildings
• CAMS-Drainage
• Disaster resilience of bridges, culverts and floodways
• CAMS-Bridges
• Automated Tree inventory using airborne LiDar and Aerial imagery
• Intelligent Asset Management in Community Partnership – A smart
cities project
• Future cities CRC – New!!
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CAMS for Buildings
CAMS Mobile
• Australian Research council grant in partnership with – MAV
– City of Glen Eira
– City of Kingston
– City of greater Dandenong
– Mornington Peninsula shire
– City of Monash
– City of Brimbank
• State government grant to develop the cloud hosted platform
• City of Melbourne investment to develop practical features such as backlog,
scenario analysis, risk profile
• RMIT University property services and City of Melbourne – CAMS Mobile
inspection app
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CAMS for Buildings - Features
1. Database management
2. Data exploration
3. Deterioration prediction
4. Budget calculation
5. Backlog estimation
6. Risk management
RMIT University©2015
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CAMS clients
Property Services
Australia | Vietnam
Current Capability
Data Driven Models for
700 components
Cost and other input
Scenarios Analysis
Risk-cost Relationship
CAMS TECHNOLOGY - Buildings
Research In Progress
Visual Inspection
Inspection progress
RFIDs for asset
tracking
Previous Data
Plans / Photos / Defects
/ Asbestos etc.
Physical degradation
modelling – improve
accuracy
Cost for defects,
intermediate conditions,
works order, optimised
repair
Level of service for
Decision Making
Energy Retrofitting
iOT integration
Compliance Auditing
BIM Integration
Utilisation/Level of
service/User
Feedback
Automated mapping
CAMS
Life-Cycle
Modelling
CAMS
Mobile
Cloud-based Database
Multi-objective Decision Making
Smart Cities $871,000 Kingston,
Brimbank, Port Phillip+Hendry
Group
Next stage
Cross assets
Augmented
Reality
Emergency
manageme
nt
RMIT - $260,000 Hendry Group + City
of Melbourne
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Awards – During research stage
Engineers Australia, Asset Management Council Postgraduate Research Awards
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CAMS Awards
Received by end users after implementation
2017 Australian Financial review, Facilities Innovation Award 40 year Life Cycle
2017 Facilities Management Australia Excellence Award – RMIT Property Services
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CAMS for Drainage
• Funded by a consortium of partners – MAV
– City of Whittlesea
– City of greater Dandenong
– City of Port Phillip
– City of Darebin
– City of Monash
– City of Brimbank
– Melbourne Water
• Australian research council grant with Melbourne Water and City of Greater
Dandenong
• RMIT University seed funding for developing the cloud hosted platform
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Asset management framework
Step 1 • IDENTIFY CRITICAL PIPES
• Based on consequence of unexpected failure
Step 2 • CONDUCT CCTV INSPECTION
• Random sampling of (at least) 600 pipes
Step 3 • CONDUCT RISK ANALYSIS
• Probability of failure, Remaining life, Influential factors
Step 4 • MANAGE RISK
• Inspection time, Annual Maintenance Budget
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CAMS DRAINAGE demonstration
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MARKOV STRUCTURAL DETERIORATION
FINDING
•AVERAGE OF AGE (sample) = 60 YEARS
•Left figure shows predictive deterioration of network of concrete pipes which is calibrated using samples of CCTV data (summarized in right figure)
• If average age of pipe network is taken as 60 years as of 2010, then from left figure, there are 60% of pipe network is in condition 1, 15% in condition 2, 6% in condition 3, 3% in condition 4 and 16% in condition 5.
•Percentage of pipe network in each condition states can be predicted in the future years.
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GEC – BUDGET DEMO
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CAMS for Drainage - Moving forward
Local Government Amendment (Performance Reporting and Accountability) Act
2014 requires a Council to report against prescribed performance indicators in the report of operations and performance statement in the Council's annual report. Identify performance indicators (e.g. number of flooding, blockages and collapse,
percentage of pipes in poor conditions 4 and 5) How to improve performance indicators over time
Inspection and repair manual for stormwater pipes Identify and optimize inspection schedule for new pipes and inspected pipes Repair manual for each type of defects such as cracking, corrosion and
displacement and open joints. How to risk-cost optimize repair actions
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Disaster resilience of bridges, culverts and
floodways
• Funded by CRC for Bush fire and Natural Hazards – MAV
– Lockyer Valley Regional Council
– Queensland Transport and Main Roads
– VicRoads
– Road and Maritime Services NSW
• Vulnerability Modelling of Road structures under flood, bush fire and
earthquakes
• GIS map of road structures with vulnerability rating
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Bridges under flood loading
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0.134m/s
spread rate
HRR/m(kW/m) Intensity
0-350 350-3500 3500-35000 35000 and above
Low Medium High Extreme
Bush Fire resilience
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Multiple Earthquake impact
• Damage due to multiple earthquake impacts
• Reliability based damage accumulation framework for bridges due
to multiple earthquake impacts
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WAY FORWARD – GIS INTEGRATION
• Austroads bridge design code introduced 1 in 2000 year flood design for bridges • Constructed bridges pre-1992 were mostly designed for 1 in 100 year ARI (Bennett et al.
2009)
1% AEP Flood
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Level 2 Inspection Data of Bridge Components (12-16) (e.g. Deck 8C; Girder 2C)
Significant Contributing Factors (6-14) (e.g. Built-year, Exposure Class, Traffic Volume)
Data collection from RAS Data filtering and processing
Markov’s Deterioration Model
Predicted Conditions/Probability Vector (e.g. Conditions of the components in next 5, 10, 20 years)
Input
Model
Output
CAMS for Bridges – RMIT, VicRoads and ARC
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Compare deterioration curves 8C
Metro South East Metro North West
No Factors, i.e. All components are the same.
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Output
Age C3 %Remain C4 %Remain
Yr+1 5.82 4.23
Yr+2 5.82 3.17
Yr+3 5.82 2.12
Yr+4 5.82 1.06
Yr+5 5.82 0.00
Remaining Conditions and Maintenance Budgeting
Age Budget Surplus Budget Need 3,4 Budget Supply
Yr+1 0 165 30
Yr+2 0 145 30
Yr+3 0 125 30
Yr+4 0 105 30
Yr+5 0 85 30
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• Royal Melbourne Institute Of Technology
• Brimbank City Council
• Nilumbik Shire Council
• Warrnambool City Council
• Whittlesea City Council
• Shire Of Campaspe
• Hobsons Bay City Council
• BAYSIDE City Council
• Melbourne Water
Project Partners
Automated council tree inventory using airborne LiDAR and aerial imagery Develop a new technology and software tool for cost-effective
inventory of council tree infrastructure using airborne LiDAR.
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LiDAR Remote Sensing of Urban Environment LiDAR System
3D view of LiDAR point cloud
Tree information retrieved from LiDAR data
Tree top
Tree
location
Height
Canopy
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Automatically captured trees from LiDAR shown as grey
clusters overlaid on Google image. Each grey cluster is a
tree. The outline of the cluster is the edge of tree crown
Data from
Warrnambool
Council. Over
thousand
trees captured
in less than 30
minutes.
Results are
99% correct.
Include all
council trees
and trees in
residential
garden
Similar quality
results
achieved from
Brimbank
Council data
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Sustainable planting of trees in suburban
environments on Shrinkable Clays Evaluate the influence of selected tree species on rates of soil water
uptake in a suburban environment;
Provide local government councils a rational suburban tree planting
management plan;
Provide civil engineering profession with new guidelines and rational
design models to reduce the risk of accommodating trees in an urban
environment, leading to an increased acceptance of trees within
communities living on problem clay sites.
City of Knox
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Intelligent Asset Management in
Community Partnership
• Smart cities project – MAV
– City of Kingston
– City of Brimbank
– City of Port Phillip
– Hendry Group
• Three smart precincts are developed integrating internet of things and
sensor technologies to optimise – Energy
– Environment
– Utilisation
– Just in time maintenance
Smart cities project – iOT for interactive city management
Three smart precincts in progress
Opportunities for collaboration
• Feel free to contact us to join any of the current initiatives. We will find a way to engage you and share the benefit
• CAMS for buildings, bridges and drainage
• Engage us to explore any new challenges
• Workshop on Vulnerable road structures 6 July 10- 1 pm at RMIT
• Engage our students for work experience/internships
Future Cities CRC
• RMIT is forming a consortium for a new bid in preparation for government funding
• MAV is forming a local council consortium for focus areas of
– Liveability, sustainability, healthy communities
– Consistent approach for managing community assets by local, state and federal governments
– Community led decision making
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