Track Deterioration Modeling and Maintenance Renewal Decision Making

Track Deterioration Modeling and Maintenance & Renewal Decision Making Using data for effective decision-making “What gets measured – gets managed” Stasha Jovanovic Dr Dragan Bozovic Railway Engineering Group Road and Railway Department Faculty of Civil Engineering & Geosciences Faculty of Civil Engineering Delft University of Technology University of Belgrade Delft, The Netherlands Serbia & Montenegro S. Jovanovic@Ci. TG. TUDelft. nl bozovic@bitsyu. net Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 1

Track Deterioration Modeling and Maintenance & Renewal Decision Making Railway Infrastructure Management Sequence of operations: Data Acquisition Data Visualization Deterioration Modeling M&R Planning Resource Allocation and overall Optimization Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 2

Track Deterioration Modeling and Maintenance & Renewal Decision Making Railway Infrastructure Asset Management Systems Inspections Measurements Planning RI AMS Work carried out Infrastructure Costs Types of data to be collected for Computer-Aided Railway Infrastructure Asset Management Systems Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 3

Track Deterioration Modeling and Maintenance & Renewal Decision Making Data Provision/Acquisition Inventory Data • Map data • Track Layout – – Curves Transitions Slopes Superelev. • Objects • • Inventory Objects Location Objects Characteristics – Types – Installation Dates • • • Basic Data Groups Operating Condition Work History Data Measurements • Track Geometry Speeds • M&R Works – Type • Rail geometry Annual Loads – Date • Corrugation Axle Loads – Location • Wheel/Rail forces Costs – Costs • Ride comfort Line Categories • Inspections • Ultrasonic • Other measurements interventions • Rail Surface • • Defects Ballast % of “fines” Geotech/Petrogr. anal. of ballast Sleeper cracking and/or clustering Various (visual) inspection data Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 4

Track Deterioration Modeling and Maintenance & Renewal Decision Making Integrated Condition Measurement Track Monitoring • Track Geometry • Rail Profile • Rail Corrugation ARCHIMEDE Measuring Systems Overhead Line Monitoring Telecommunication Monitoring • GSM, GSM-R and ETACS monitoring • Overhead Line Geometry (static and Signaling Monitoring • Monitoring of coded currents in the dynamic) track • Contact Wires Wear Auxiliary Systems • Catenary/Pantograph Interaction • High Accuracy Positioning Systems • Electrical Arcs (Encoders, Doppler radar, • Electrical Parameters (Voltage and Tension) Ride Quality Transponders, Passive Milestones Laser Readers, Differential GPS) • Instrumented wheels for Wheel/rail • Video Inspection of Track, Wayside interaction forces and Overhead Line • Body and axle-boxes accelerations • Wheel-Rail Contact Geometry • Optical Fiber Communication Network Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 5

Track Deterioration Modeling and Maintenance & Renewal Decision Making Vision Systems Track Video Inspection Systems with automatic recognition of defects TRACK SURFACE INSPECTION SYSTEM § § § § § ROGER 1000 SBB Automatic Detection of Switches And Intersections Automatic Detection of Level Crossings, Tunnels, Viaducts ROGER 1000 K - KTX - Korea Detection of Irregularities of Ballast Check of Rail Fixings Check of Surface Defects on Rails Check of Sleepers Condition Detection of the Condition of Base Plate in Absence of Ballast Check of Pincers Position Check of Structural Condition of Balises/Magnets VIDEO-INSPECTION OF RAILWAY SECTION AND SURROUNDINGS § § § Detection of Maintenance Works Around the Track Check of the Surroundings Check of Security Devices Check of the Vegetation Check of Light Efficiency VIDEO-INSPECTION OF PLATFORMS Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 6

Track Deterioration Modeling and Maintenance & Renewal Decision Making ARCHIMEDE Operative Management Total length of lines to survey About 10. 000 Km Survey Frequency 1 week / 3 months Total amount of km covered in 1 year 80. 000 Km Average length surveyed in 1 working day 500 km Acquired data in 1 month 1 Tb Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 7

Track Deterioration Modeling and Maintenance & Renewal Decision Making Ultrasonic Rail Inspection Transducer arrangement 5 mm ‘dead’ zone Running side 5 mm ‘dead’ zone 80 mm 0 o 35 o With and transducers the central part head, web and foot of rail. With 70º transducers and satellites the central part railhead to the running side and partly the web Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 8

Track Deterioration Modeling and Maintenance & Renewal Decision Making S&C Information collection S&C Monitoring a. with on-line, real-time automatic condition monitoring systems b. using a (high speed) measuring car c. with small hand-held or portable devices d. visual inspections Ultrasonic Inspections Track/rail geometry Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 9

Track Deterioration Modeling and Maintenance & Renewal Decision Making Analyzing the data Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 10

Optimised planning of Maintenance (tamping, OHL geometry regulation, . . . ) and Renewal (rail, contact wire, ballast, . . . ) Predictive Measuring Systems Track Geometry, Rail Profile, Rail Corrugation, Vehicle Dynamics, Overhead Line, etc. Vision Systems Track, Overhead Line and Way Side Video Inspection Graphic Visualization Corrective On Condition Data Processing & Analysis Enterprise Application Integration (GIS, ERP, data export, etc. ) Ground/Depot Systems Interface Planning Asset Management System Decision Support System Acquisition Diagnostics Maintenance Engineering Track Deterioration Modeling and Maintenance & Renewal Decision Making Report Printing Wheel Profile Database Other Signalling Telecommunications Positioning System Other Measuring Systems - Passive Milestone - GPS/DGPS - Electro-Magnetic Transducer Target - GSM/GPRS - Camera - Data Tag - LAN/WAN - Transponder Detector - Transponder - Wireless Bridge - Radar Doppler Sensor On Board - Passive Milestone Detector Ground Communication - Encoder - Inertial Sensors (accelerometer, gyroscope, inclinometer) - Sensor for Displacement, Force, . . . Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 11

Track Deterioration Modeling and Maintenance & Renewal Decision Making Integrated Analysis - RAMSYS Visualization Reporting/Printing Switches & Crossings Track Overhead Line Signalling Statistical tools & Simulations (Global Network-level Management) Traffic optimisation Data Export Resource Allocation & Optimization Long-term planning (Maintenance vs. Renewal) Degradation models (Condition Analysis) Short-term planning (Interventions) … Horizontal Functionalities (Data Import, Asset Registry, Multi Level Segmentation, etc. ) Enterprise Application Integration (Others measuring systems, GIS, ERP, etc. ) Database Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 12

Track Deterioration Modeling and Maintenance & Renewal Decision Making Data management and Visualization - RAMSYS Track Quality Measurements Dynamic Forces Measurements Corrugation Measurements Rail Wear Measurements Track layout Line Profile Track Segments System Management Work History Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 13

Track Deterioration Modeling and Maintenance & Renewal Decision Making Data management and Visualization - RAMSYS Track Quality Measurements Corrugation Measurements Dynamic Forces Measurements Rail Wear Measurements Asset Inventory Track Segments Work History System Management Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 14

Track Deterioration Modeling and Maintenance & Renewal Decision Making Visualization Limitations Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 15

Track Deterioration Modeling and Maintenance & Renewal Decision Making Track Segmentation Sleeper Type Rail Type Subgrade Type Curvature S&C Bridges Speed Grade/Slope Result Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 16

Track Deterioration Modeling and Maintenance & Renewal Decision Making Quality parameter Data Consistency T Sep 2002 Sep 2001 Jan 2004 Jan 2002 Jan 2003 Sep 2004 Sep 2003 Time And what about accumulated tonnage, ballast age, type; curvature, corrugation, rail failures. . . Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 17

Track Deterioration Modeling and Maintenance & Renewal Decision Making Importance of having full prospective Quality parameter T Threshold = 1. 6 Sep 2002 Value = 1. 2 Sep 2004 Jan 2004 Quality parameter Time Sep 2003 Threshold = 1. 6 Sep 2002 Value = 1. 5 Sep 2004 Jan 2004 Sep 2003 Time Which situation is the worse one ? Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 18

Track Deterioration Modeling and Maintenance & Renewal Decision Making Degradation Speed importance for proper Time and timely planning 2007 2006 2005 Segment 1 Segment 2 Segment 3 Segment 4 Intervention Limit Sep 2003 Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net Tamping Sep 2003 Tamping Warning Limit 19

Track Deterioration Modeling and Maintenance & Renewal Decision Making Deterioration Modeling Mastering the Railway Infrastructure Elements Behaviour Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 20

Track Deterioration Modeling and Maintenance & Renewal Decision Making Hypothetical track deterioration Efficiency as seen by a system Real efficiency of a M&R work (restoration) C 1 C 2 Minimum Allowable Level Parameter increase (quality decrease) (Operational Limit) Minimum Acceptable Level C 3 (Maintenance Limit) a a Tamping Major Renewal a Rapid deterioration b Linear deterioration c Rapid deterioration Traffic (MGT) Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 21

Track Deterioration Modeling and Maintenance & Renewal Decision Making Mono-parametric long-term generic deterioration model Parameter value A C C B C C A C Parameter A value C B C C C A B Time Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 22

Track Deterioration Modeling and Maintenance & Renewal Decision Making Setting Parameters Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 23

Track Deterioration Modeling and Maintenance & Renewal Decision Making Setting Parameters Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 24

Track Deterioration Modeling and Maintenance & Renewal Decision Making Automatic Generic Deterioration Modeling User-definable Threshold Work History Degradation Trend Planned Work Measured Work History Values System Management List of Parameters shown in the View and their characteristics Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 25

Track Deterioration Modeling and Maintenance & Renewal Decision Making Automatic M&R Planning based on Deterioration Modeling Information about a Planned Work Rule-based Work Planning Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 26

Track Deterioration Modeling and Maintenance & Renewal Decision Making Automatic Generic Deterioration Modeling Non-Linear Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 27

Track Deterioration Modeling and Maintenance & Renewal Decision Making Automatic Generic Deterioration Modeling Linear Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 28

Track Deterioration Modeling and Maintenance & Renewal Decision Making Using the captured behavor for the forecasting purposes Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 29

Track Deterioration Modeling and Maintenance & Renewal Decision Making Optimizing Planning Threshold = 2. 5 mm SD Min. Tamp. Cyc. = 6 months Annual Costs = 2700 Av. Quality = 1. 72 mm SD Threshold = 2. 5 mm SD Min. Tamp. Cyc. = 3 months Annual Costs = 3000 Av. Quality = 1. 87 mm SD Level 1 Threshold = 2. 0 mm SD Min. Tamp. Cyc. = 12 months Annual Costs = 2700 Av. Quality = 1. 45 mm SD Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 30

Track Deterioration Modeling and Maintenance & Renewal Decision Making Optimization Problem CASE 1 CASE 2 CASE 3 Track Geometry Parameter (Vertical) Limit 2. 5 2. 0 Restoration Rate Limit (minimum Tamping Efficiency) 3. 0 1. 5 Minimum Tamping Frequency (time distance between two Tamping works) 6 months Average (daily) Quality (Vertical Track Geometry Value) 1. 72 1. 87 1. 45 Annual Costs (i. e. Total costs divided by the duration of the Plan = e. g. 50 years) 2700 3000 2700 3 months 12 months Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 31

Track Deterioration Modeling and Maintenance & Renewal Decision Making Optimization Problem Design variables • Track Geometry Parameter • • (Vertical) Limit Restoration Rate Limit (minimum Tamping Efficiency) Minimum Tamping Frequency (time distance between two Tamping works) Objective Functions MAXIMIZE: • Average (daily) Quality (i. e. MINIMIZE Vertical Track Geometry Value) MINIMIZE: • Annual Costs (i. e. Total costs divided by the duration of the Plan = e. g. 50 years) Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 32

Track Deterioration Modeling and Maintenance & Renewal Decision Making Deliverables - Benefits • Estimation of Resource Requirements • Estimation of Traffic Disturbances • What-if analysis - ability to test different Resource Management Policies • Optimal Work Plan • Optimal Resource Allocation • Cost-breakdown - a first prerequisite for real cost optimization Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 33

Track Deterioration Modeling and Maintenance & Renewal Decision Making Railway Asset Management Systems Essential Functionalities: • Ability to model railway infrastructure as linear/spatial assets using “Link” and “node” objects, and “location-along-the-link” reference of all other singular (point) objects • Liner/Spatial (L/S) referencing of all “distributed” properties • Integrated handling capability of any kind of data different in nature (inventory, layout, condition, operation, work history, etc. ) • Full compatibility with GIS, EAM/ERP systems and other DBMS & tools • Superb visualization capabilities • Flexible segmentation • Flexible, “generic” Deterioration Models & Condition forecasting • Automatic M&R planning • M&R clustering/optimization • Resource Allocation Optimization. Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 34

Track Deterioration Modeling and Maintenance & Renewal Decision Making Thank you for your attention. Track Deterioration Modeling and Maintenance & Renewal Decision Making Using data for effective decision-making “What gets measured – gets Stasha Jovanovic Dr Dragan Bozovic managed” Railway Engineering Group Road and Railway Department Faculty of Civil Engineering & Geosciences Faculty of Civil Engineering Delft University of Technology University of Belgrade Delft, The Netherlands Serbia & Montenegro S. Jovanovic@Ci. TG. TUDelft. nl bozovic@bitsyu. net Stasha Jovanovic S. Jovanovic@Ci. TG. TUDelft. nl & Dr Dragan Bozovic bozovic@bitsyu. net 35