RAMS and LCC for railway infrastructure Part 0 – Trainer and Department I.NVT 8 at DB Netz

Technical analyses

Methods Competence Development

DB Netz AG Economical analyses

Track and bridge dynmaic

Dr. Burchard Ripke & Wali Nawabi Systemschnittstelle Infrastruktur (I.NVT 8) Istanbul 14. - 16.10.2014

DB Netz AG, Istanbul 2014

Burchard Ripke Subject: Technical and economical assessment

Burchard Ripke Study:

Aeronautics and Astronautics at Technical University of Berlin

Thesis:

Vehicle track dynamics

Knowledge:

Methods and experiences about technical and economical assessment

DB AG:

Employed at German Railways since 18 years

Function:

Head of group “Track Dynamic and Assessment”

Dr. Burchard Ripke DB Netz AG Infrastructure Systems Interface +49 89 1308 3249 [email protected]

DB Netz AG, Istanbul 2014

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Introduction

Wali Nawabi Date of Birth: 02 February 1972 in Kabul/Afghanistan Graduate degree in civil engineering from the University of applied science in Munich, in March 2000 08/2000 – 03/2003: Engineering office, Munich: Structural designer of industrial buildings, support of the test engineer for structural analysis 06/2003 – 12/2004: DB ProjektBau GmbH (subsidiary of DB AG), Munich: Planning engineer in the field of railway bridge constructions 01/2005 – 03/2007: Deutsche Bahn AG, Section Technology/Procurement, Munich, System support engineer for product segment structural installations 2007: Further education, graduated RAMS & LCC engineer at Engineering Institute IZP in Dresden Since 04/2007: DB Netz AG, Munich, Infrastructure Systems Interface, dealing amongst others with technical and economic assessments (RAMS and LCC) in the field of railway infrastructure

DB Netz AG and UIC - RAMS and LCC for infrastructure, Istanbul 2014

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I.NVT 8 – System interfaces infrastructure Department of DB Network Technology

Technical Analyses

Methods • • • •

LCC, national, international FMEA RAMS Data Mining

Technical analyses

Project management • Internal • National • International

Simulation Evaluation Data Mining ABC analysis FMEA RAMS

• • • • • •

Methods Competence Development

LCC Analyses • Analysis of variants • Sensitivity analyses • Potential analyses

DB Netz AG, Istanbul 2014

Economical analyses

Evaluation of measurements Track and bridge dynamic

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• • • • •

Dynamic Long-term behaviour Forces Monitoring of vehicles Bridge parameter

Tools and methods – technical assessment

Vehicle model Modelling Car body, bogy frame and wheel sets: rigid bodies Primary and Secondary suspension: Spring and damper or finite elements Wheel set elasticity: Finite element model with modal degrees of freedom

DB Netz AG, Istanbul 2014

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Tools and methods – technical assessment

Track model The track model describes the dynamic of slab track and ballasted track on soil, in tunnels and on bridges Modelling of track for slab track: Rail, slab and HBL: Timoshenko beams Rail fastening: Spring and damper Sub structure viscoelastic foundation

Validity: 0 -2000 Hz

0.80

Verschiebung [mm]

Connection sleeper / slab: Spring and damper

Quelle: Manfred Zacher

Messung Simulation

0.90 0.70

Schiene

0.60 0.50 Schwelle

0.40 0.30 0.20 0.10 0.00

Tragplatte - ATS

-0.10 1.2

1.25

1.3

1.35

1.4

1.45

Zeit[s] DB Netz AG, Istanbul 2014

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1.5

1.55

1.6

1.65

1.7

Economical assessment

LCC model - link between technical performance 1 1.1 and financial values 1.1.1 Product Tree 1 1.1 1.1.1 1.2 1.3 1.3.1 1.4 1.5 1.6

Product Tree

TRACK Rail UIC 60 Rail Pad ZW700 Sleeper B 70 W Under Sleeper Pad Ballast Subsoil

Cost Breakdown Structure Cost Breakdown Structure

LCC INVESTMENT Investment (Renewal) 1.1.1.1 Ballast 1.1.1.2 Sleeper incl. Fastening/ Freight 1.1.1.3 USP/ UBP 1.1.1.4 Rail incl. Freight 1.1.1.5 Substructure Measure 1.1.1.6 Installation 1.1.2 Rail Renewal 1.1.3 Disposal 1.1.3.1 Residual Value 1.1.3.2 Recycling 1.2 MAINTENANCE 1.2.1 Inspection Vehicle 1.2.2 Visual Inspection 1.2.3 Day-To-Day Track Maintenance 1.2.4 Ballast Tamping 1.2.5 Rail Grinding 1.2.6 Control of the Vegetation 1.2.7 Change ZW/ZWP 1.3 NON-AVAILABILITY 1.3.1 Planned 1.3.1.1 Day-To-Day Track Maintenance 1.3.1.2 Ballast Tamping 1.3.1.3 Rail Grinding 1.3.1.4 Rail Relying 1.3.1.5 Track Stoppage Reinvestment 1.3.2 Not-Planned 1.3.2.1 Track Stoppage 1.3.2.2 Speed Restriction

Levels below DB Netz AG, Istanbul 2014

I.NVT 8 supports the future LCC based asset management

Asset management Innovations

Maintenance strategies

Innovation management

Organisation

Assessment and risk management

Life Cycle Analysis

Asset Management

Standards Specifications and strategies

Planning

Construction

Technical & economical data

Asset Service Fault management

Maintenance

Rebuilding

Documentation data

The management process starts already at the planning and ends with the disposal of the asset DB Netz AG, Istanbul 2014

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Optimisation Track/network

Actual & further requirements

Investment

RAMS and LCC for railway infrastructure

Please ask questions during the course or contact us

DB Netz AG, Istanbul 2014

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Agenda of the training course

Why to use RAMS and LCC (motivation, stage of use and benefits) Basis of Life Cycle Costing (LCC) (methodology, key input data, example) Basis of RAMS analysis (methodology, key input data, example) Interaction between RAMS and LCC (combined RAMS and LCC analyses) Implementation of RAMS and LCC Additional topics (asset management, risk assessment…) DB Netz AG, Istanbul 2014

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Optional

RAMS and LCC for Infrastructure Introduction of Participants

Your Name? The Company you are working for? Your Experiences with respect to RAMS and LCC? 0 No real experiences and knowledge 1 Some knowledge 2 Some knowledge & experiences 3 Good knowledge & experiences 4 Expert on RAMS and LCC DB Netz AG, Istanbul 2014

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