Optimization of Bridges for Big...
Transcript of Optimization of Bridges for Big...
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OptimizaOptimization of Bridges fortion of Bridges forBig CrossingsBig Crossings
Davorin KolDavorin Kolićić
Baden , Baden , September 25,2009September 25,2009
Neuron Zagreb dooNeuron Zagreb doo
5th CCC 5th CCC
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Contents :Contents :
• 1. Introduction1. Introduction• 2. Limits of „feasible span lenghts“ • 3. Bridge systems for big crossings3. Bridge systems for big crossings• 4. Optimization method4. Optimization method• 5. Example from practice5. Example from practice• 66. . ConclusionConclusion
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Lake Pontchartrain Causeway Bridge over lake near New Orleansa, USA
Length 38 km, with 4 lanes on 2 parallel bridges, pile foundation 6 m long, in
construction 1955/56 i 1967/69
Traffic development: 3000 veh./day (1956)
3000 veh. / ho (1990)
1. IntroductionNeed for a big crossing :Need for a big crossing : • Traffic requirementsTraffic requirements• Strategical reasonsStrategical reasons• Economical reasonsEconomical reasons
Structural types :Structural types : • 1 bridge type in a row1 bridge type in a row• system of bridgessystem of bridges • hybrid type with bridges, hybrid type with bridges,
tunnels and islandstunnels and islands
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Longest bridge crossings : one bridge type, bridge system or hybrid crossings bridge-island-tunnel.
1. Introduction
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Longest planned bridge crossings as : bridge systems or hybrid bridge-island-tunnel type.
1. Introduction
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Qatar-Bahrain Causeway 45 km
Hangzhou Bay Bridge 35.6 km
1. Introduction
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2. Limits of „feasible span lenghts“The need for optimization of big bride crossingThe need for optimization of big bride crossing
Konačni iznos troškova
Project phases included in optimizationProject phases included in optimization : :
Criterium for the most feasible solutionCriterium for the most feasible solution : :
* * economical feasibilityeconomical feasibility ( (lowest pricelowest price))
At the end of constructionAt the end of construction => => required budget size is known required budget size is known ( ( planned budget + planned budget + unexpected costsunexpected costs ) )
Estimation of possible cost overrun 10-25 % 10-200 %
Used project budget 2 - 10 % 90-98 %
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Distribution of limits of feasible span lenghts for different bridge types according to construction price on traffic surface unit.
2. Limits of „feasible span lenghts“Saul R. (2003) : “Aesthetics vs. Economics...”, BarcelonaSaul R. (2003) : “Aesthetics vs. Economics...”, Barcelona
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Lenghts L < 2000 m :
• bridges
• Immersed tubes
Decision on structure type:
* Ship channel
* Geological conditions
* Weather condition
* Vicinty of towns
2. Bridge over Danube Vidin (Bg) – Calafat (Ro)L = rail 2480 m / road bridge 1440 m, Dunube width 1300m, 2
rail and 4 road lanes, in construction
2. Limits of „feasible span lenghts“big crossings less than 2000 mbig crossings less than 2000 m
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Bridge Pusan – island Geoje (S.Korea)L = 8.2 km, 4 road lanes
Wind up to 288km/h, earthquake, sea depth 50 m
Lenghts L = 2–10 000 m :
• bridges
• Immersed tubes
• Bored tunnels
• Kombinations
Decision on structure type:
* Ship channel
* Traffic requirements
* Geologic conditions
* Weather conditions
* Location specialities
2 km 2 km 3.4 km
8.2 km
Immersed tube, 50m depthbridge bridge
main ship channel
2. Limits of „feasible span lenghts“big crossings from 2000 – 10 000 mbig crossings from 2000 – 10 000 m
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Lenghts L > 10 000 m :
• bridges
• Immersed tubes
• combinations
( N( Noo immersed tubesimmersed tubes €!) €!)
Decision on structure type: :
* Ship channel * Traffic requirements * Geologic conditions* Weather conditions* Location specialities
* Addit. structures (€!)
Fehmarnbelt
(Danska–Njemačka)L = 19 km
4 road lanes
2 rail lanes,
wind, sea depth 30 m, to be constructed
2. Limits of „feasible span lenghts“big crossings longer than 10 000 mbig crossings longer than 10 000 m
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3. Bridge systems for big crossingsBridge systems for big crossings
Freasible bridge types for optimal big crossing :
• Arch wit hbox section in steel and concrete• Continuous box girders in steel and presstressed concrete• Suspension bridges in steel (composite)• Cable stayed bridges (steel, concrete, composite, combinations)
Su Tong (Kina), over river YangtzeL = 8.15 km, Lcbs.= 2088 m, Lmid= 1088 m
6 road lines, piles 120 m deep
Most often bridge combination for big crossing : CBS + continuous girder.
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Relation : overall crossing length vs. unit construction price.
Comparison :
Cont.girder and cable stayed
bridge up to 2500 m
For loading :* road* rail
3. Bridge systems for big crossingsBridge systems for big crossings
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Comparison :
Suspension bridges
and CBS +
cont.girdersup to 18 000 m
For loading :* road* road + rail
Relation of overall crossing lengths and unit construction price.
3. Bridge systems for big crossingsBridge systems for big crossings
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Project budget overruns during construction in traffic infrastructure :
• steady phenomena in last 100 years
• overruns up to 250 %
Unsure feasible studies :
• problem of „unhonest numbers“
• rough analyses
• possibility to manipulate
Intentions :
• make project more attractive
• animate investors
• start with construction asap
Results :
• phenomena of massive budget cost - overruns
3. Bridge systems for big crossingsBridge systems for big crossings
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4.4. Optimization method Optimization method
Method development :
• Considering project development phases
• Optimization during all phases
Optimization method following :Optimization method following :
Design phase : Empirical knowledge + numerical
analysis
Cost calcualtion :Empirical knowledge + costs,
numerical
Construction : Empirical knowledge + cost control,
numerical evaluation
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Optimization module :
Multicriterial analysis wit hqualitative and quantitative part
Qualitative analysis : Method PPA („Potential-Problem-
Analysis“) ebvaluation of negative scenarios of unexpected happenings
Quantitative analysis :Numerical cost analysis of values of
negative scenarios of unexpected happenings
4.4. Optimization method Optimization methodModul F A U S TModul F A U S T
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1. Design phase :• Basic solution• Overview of dimensions and structural
solutions• Comparison with results of NA and other
similar projects• Changes, improvements
6. Optimization• What is missing ?• Negative scenarios of unexpected items• Evaluation of negative scenario• Decision on change
1. Design phase :• change of structural detail• improvements and additions
4.4. Optimization method Optimization methodQualitative AnalysisQualitative Analysis
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4.4. Optimization method Optimization methodQualitative Analysis – Register R1Qualitative Analysis – Register R1
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4.4. Optimization method Optimization methodQualitative Analysis – Register R1Qualitative Analysis – Register R1
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Cathegorization matrix
Levels of influence and required action
4.4. Optimization method Optimization methodQualitative AnalysisQualitative Analysis
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Numerical evaluation of negative scenarios in economical way :
Evaluation of still-stands and costs that are caused
(based on the still–stand duration) :
Ui = Vi * Pi * Ci
“Ui” – overall cost
“Vi” - possibility
“Pi” - influence
“Ci” – cost of a scenario
4.4. Optimization method Optimization methodQuantitative AnalysisQuantitative Analysis
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dCi = n * Vi * min/max (Cdi + Cvi)
4.4. Optimization method Optimization methodQuantitative AnalysisQuantitative Analysis
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4.4. Optimization method Optimization methodQuantitative AnalysisQuantitative Analysis
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55.. Example from practice Example from practiceBridge over Golden Horn in Vladivostok,Bridge over Golden Horn in Vladivostok, L = L = 329,98 +737+ 321.94 = 1388.92m329,98 +737+ 321.94 = 1388.92m
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55.. Example from practice Example from practiceBridge over Golden Horn in Vladivostok,Bridge over Golden Horn in Vladivostok, L = L = 329,98 +737+ 321.94 = 1388.92m329,98 +737+ 321.94 = 1388.92m
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Financing types :
• Private financiog or hybrid financing models
Project development :
• Concessions :
• BOT – build-operate-transfer, etc.
• DBOT, DBOT, DBOM, or other PPP types
Cost calculation during different project development phases:
• analyses based on structural project capacity
Optimization :
• structural and economical feasibility to be evaluted
• Optimization method to minimize and cotrol the project budget
66.. Conclusion Conclusion