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Towards Performance Towards Performance Based Civil EngineeringBased Civil Engineering
Emin Aktan and Frank Moon Emin Aktan and Frank Moon
Drexel University, Philadelphia, PA
11th Transportation EngineeringAnd Safety Conference September 6-9, 2005
December 7, 2005
ASCE-SEI Technical Committee (1999-2005): Performance-Based Design and Evaluation of Civil
Engineering Facilities
Purpose: Facilitating the development and adoption of realistic and reliable performance-based techniques. Establish the foundations for specifications, model codes and commentaries for performance-based design and evaluation.
Aktana, Alampallig, Arzoumanidesp, Berteroa, Bettia, Brennerp, Burkep, Catbasa, Chaseg, Chongg, Dasp, Dusenberryp, Farrarg, Fenga,Frangopola, Fujinoa, Garretta, Ghandeharia, Haldara, Jonesa, Inmana, Kareema, Khindap, Kratkyp, Muftia,C, Pinesa, Satoa,J, Shinozukaa, Sozena, Wanga, Wenzelp,E, Winterfeldta,Yanevg , Zimmermana
a Academic, p Practicioner, g Government, C, E, J Liaison
Performance-Based ?Civil engineers design, construct and manage very large and complexsystems that frequently cannot be entirely conceptualized and accurately characterized. Lifecycles range between 50-500 years. Operational demands and actions may be estimated only with greatuncertainty.
In the US, common civil infrastructure facilities such as buildings, bridges, pavements, etc are often designed by prescriptive codes and constructed in a process-oriented manner by a large number of fragmented sub-industries, and these facilities are regularly deliveredwith a 1-year or no warranty of performance.
Operation, maintenance and management are often detached from design and construction and are also disconnected from each other.
AUTOMOTIVE, AEROSPACE, ELECTRONICS, etc. ENGINEERS
HAVE ADOPTED PERFORMANCE-BASED APPROACHES ......
Opposite poles
• Performance Based:
An acceptable level of protection against structural failure under extreme load shall be provided
• Prescriptive Specification:1/2” diameter bolts
spaced no more than 6 feet on center shall anchor the wood sill of an exterior wall to the foundation
From: JR Harris, P.E., PhD, 2002 Structures Congress, Performance-Based Structural Engineering: A Review
HISTORY OF US DESIGN SPECIFICATIONS: 1916: Report on Recommended Practice and Standard Specifications for Concrete and Reinforced Concrete (by ACI, American Institute of Architects, American Railway Engineering Association,ASCE, ASTM)1926: First AISC Steel Construction Manual1927: First earthquake provisions for design in the UBC1931: First Standard Specifications for Highway Bridges by AASHO1976: Unified Standard Code of Practice for Structures, by the Inter-Association Joint Committee for Safety of Structures in Europe1978: ATC 3-06 "Tentative Provisions for the Development of Seismic Regulations for Buildings"1986: First AISC Steel Construction Manual based on LRFD 1987: ATC-14 "Evaluating the Seismic Resistance of Existing Buildings"1994 AASHTO LRFD Bridge Design Specifications1994 Report to CALTRANS by the Seismic Advisory Board "The Continuing Challenge- The Northridge Earthquake of January 17"
Evolution of CE Design Philosophy • Stress design• Strength design
• Limit-States design: Acceptable failure probabilityFor loads/actions and strength of materials:
– Level 1 Semi-probabilistic (characteristic values)– Level 2 Element level (idealized distributions)
– Level 3 System level (actual distributions)Modeling and analysis procedures:
– Linear for service limit-states– Nonlinear or plastic for ultimate
• Utility, Serviceability and Durability not yet sufficiently
addressed by codes, designer knowledge/experience
and creativity a necessary ingredient for success
SOME PROBLEMS WITH CURRENT DESIGN SPECS
The rationale and the heuristic knowledge-base underlying the "specification-based" approaches has served civil engineering design and evaluation practice reasonably well during the last Century.
However, past approaches to design, construction and evaluation of constructed facilities based on prescriptive codes and qualitative descriptions of performance have become inadequate for many projects.
The cost for maintaining the infrastructure has reached objectionable levels. Societal expectations from infrastructure delivery are changing: Design-Build, Design-Build-Warrant, Finance-Design-Build-Operate, etc
New sizes, systems, materials, processes and use-modes that are notcodified cannot be easily introduced.
Metrics and associated objective-measurable indices are required for: Performance, Condition, Health, and Damage so that we may take proper advantage of integrated asset management approaches to entire infrastructure systems.
CODE COMMENTARY STATEMENTS:
CALTRANS seismic criteria:
These criteria indicate that the permissible damage and post-earthquake service
required for "ordinary" bridges following a "maximum credible earthquake" are
"significant" and "limited" respectively.
AASHTO LRFD Bridge Design Specifications:
The structural system of a bridge shall be proportioned and detailed to ensure
the development of significant and visible inelastic deformations at the strength
and extreme event limit states prior to failure.
While explicit descriptions for performance expectations are available for
buildings and bridges at the ultimate limit-states, these remain subjective,
qualitative and nebulous. Measurable, meaningful indices are lacking.
What’s Wrong with SuchPerformance Statements?
• Quantitative criteria are needed
– Sometimes difficult to formulate
– Often difficult to achieve consensus
• Evaluation procedures – Measurement is key; must find a way to
measure (analytically or experimentally) a meaningful quantity
From: JR Harris, P.E., PhD, 2002 Structures Congress, Performance-Based Structural Engineering: A Review
Hamilton Co. (OH) Bridge (1997)Over 24 subcontractors for construction Many Bureaus of ODOT and District 6
Price: $ 1,000,000 - $2,000,000
Performance Metrics: ??
Warranty: None
Process-Oriented Approac
Auto and Construction: The Need for Metrics
2001 Small Car
Price: $ 12,000
Performance Metrics !
Warranty Bumper-to-bumper: 5 yearsPowertrain: 10 years
Product-Oriented Approach
CRITICAL INFRASTRUCTURE SYSTEMS
• Telecommunications• Electric Power• Gas and Oil Storage and Delivery• Transportation• Water Supply• Food and Agriculture• Medicine and Health Care• Chemical Industry• Banking and Finance• Emergency Services• Government
Natural Environment
Human Elements
EngineeredElements
Maintenance
EngineeredSystems
NaturalSystems
HumanSystems
Construction
Integrated Design - Construction -Operation - Maintenance Systems
Constructed Systems at Intersection Shaping Infrastructure
Life-Cycle Performance
Design
Detached Design - Construction -Operation - Maintenance Systems
Sub-Systems Affecting Infrastructure Life-Cycle
Performance
Operation
ConstructionDesign
Construction
Maintenance
Operation OperationMaintenance
Design
Multi-Dimensional Performance Matrix for Infrastructures
ProtectionQuality of lifeLeveraging science, engineering and technology for society
HarmonyAestheticsAdvancing engineering and science education
SocietalObjectives
RecyclableAdaptabilityConditional events (w/very long return)
DeteriorationMaintainabilitySafety & stability of failure
AgingInspection & evaluation
Serviceability & durability
Engineering Limit States
Hazardous waste (chem, bio, etc.)Fiscal responsibilitySecurity
Env. FriendlyMulti-hazard risk managementEfficiency
SustainableOrganizational efficiencySafety
Operational and Utility Limit States
NatureSocial-Technical Elements
Engineering Elements
Performance Category:
Lack of multiple escaperoutes in buildings Lack of post-failureresiliency leading toprogressive collapse ofbuildings Cascading failures ofInterconnectedinfrastructure systemsFailures of Infrastructureelements critical foremergency responsemedical, communication,water, energy,transportation, logistics,command and control
Excessive:movements;settlements;geometrychanges
Material Failure
Fatigue
Localized or Member LevelStability failure
Excessive:Displacements;Deformations;Drifts
Deterioration
Local damage: Cracking, Spalling, Yielding
Excessive Vibrations
Environmental impacts
Social impacts
Sustainability of functionality throughout life cycle
Financing Initial cost and life cycle costs
Operational capacity safety, efficiency, flexibility and security
Feasibility of construction, protection and preservation
Aesthetics
Stability of Failure
Incomplete orpremature collapsemechanism(s)without adequatedeformability andHardening; Undesirablesudden brittlefailure mode(s)
Lack of Durability
Special limit statethat should governaspects of globaldesign, detailing,materials andconstruction
Substantial Safety at Conditional Limit States
Life Safety and Stability of Failure
Serviceability and Durability
Utility andFunctionality
Limit State
Design Limit States and Limit EventsLi
mit
Even
ts
War, TerrorismExtremely rare load
500 year100 yearFlood
Sustained fireExtreme cold or fire
Above normal heat and cold cycles
Average heat and cold cycles
Temp
2% excedencein 50 years
10% exceedencein 50 years
50% exceedencein 50 yearsEarthquake
Hurricane, tornado
Strong windstormTypical windWind load
Live load exceeds design
Live load = design live load
Typical occupancyLive load
Sustained, with remodeling
Sustained as designedDead load
Extreme (2500-5000)
Rare (205-500)Occasional (5-25)
Normal (0)
Frequency (Return Period in Years)Demands
Typical Design Loads and Their Frequency
Define Performance in terms of Health?Health = Reliability of bridge system to possess adequate capacity against any limit state demands at any time throughout its lifecycle
Health = (1-P f ) /for All Limit-State Demands /T<Lifecycle / As-Is Condition/Operational and Maintenance Management/
If ββ is 2nd Moment of (1-P f ): Reliability Index
β β = 0; (1-Pf) = 0.5, ββ = 3; Health = 0.999,
ββ = 4.75 Health = 0.99999, i.e. 10 -6 chance of failure
10-710-610-5Large (>10)
10-6
(β = 4.5)10-510-4
(β = 3)Medium
10-510-410-3Small (1<)
Very HighHighInsignificant
Economic ConsequencesPopulationAt Risk
Recommended Probability of Failure Levels for Ultimate Limit States (CEB-FIP 1978)
Typical Events Causing 500 Bridge Failures in Last Decade
• Hydraulic Events
• Collision
• Overload
• Deterioration
• Fire
• Construction
• Ice
• Earthquake
• Fatigue
• Design Errors
• Soil
• Storm/Hurricane/ Tsunami
• Beta=3
(Wardhana & Hadipriono, ASCE Journal of Performance of Constructed Facilities, 2003)
TENTATIVE PROCEDURE FOR DEVELOPING PERFORMANCE METRICS:
Review and Synthesis of Existing Standards and Heuristics.
Classify common constructed systems into population groups the
performance of which are governed by similar design, construction,
location, condition and use parameters.
Formulate and Describe Performance Metrics for a population
group that may be represented by a statistical sample.
Observation and Measurement of Reality for statistical samples:
System identification and health monitoring of statistical samples.
Quantification and Optimization of the Performance Matrix.
Incentives for Field MeasurementsIncentives for Field MeasurementsRobert Robert MaillartMaillart (1907):(1907): Designers should check their Designers should check their assumptions through load tests for deflections assumptions through load tests for deflections
Construction:Construction: Monitoring may be incorporated in design for Monitoring may be incorporated in design for optimum intrinsic forces, control of construction processes and optimum intrinsic forces, control of construction processes and its impacts, construction quality control, retrofit constructionits impacts, construction quality control, retrofit construction
Establish asEstablish as--builtbuilt properties at commissioning to serve as a properties at commissioning to serve as a baseline for properties from future tests as may be warranted baseline for properties from future tests as may be warranted
Evaluate: Evaluate: performance problems, vulnerability, permits, performance problems, vulnerability, permits, rate/rerate/re--qualify, life expectancy, retrofit, postqualify, life expectancy, retrofit, post--event conditions event conditions
Changes in: Changes in: loads, useloads, use--mode,mode, codes, expected eventscodes, expected events
Health MonitoringHealth Monitoring for proactive management for proactive management
Research and EducationResearch and Education of renaissance civil engineersof renaissance civil engineers
Classification of Experimental Tools Classification of Experimental Tools
GeometryGeometryMeasureMeasure--
mentment
Local Local NDENDE Load TestingLoad Testing
(Static or Quasi(Static or Quasi--Static Testing)Static Testing)
ControlledControlled UncontrolledUncontrolled
Static Static TrucksTrucks
Crawling Crawling TrucksTrucks
Measure Measure Outputs Outputs
OnlyOnly
Measure Measure Input by Input by WIM & WIM & OutputsOutputs
Vibration Analysis Vibration Analysis (Dynamic Testing)(Dynamic Testing)
ControlledControlled UncontrolledUncontrolled
Measure Measure Outputs Outputs
OnlyOnly
Measure Measure Input & Input & OutputsOutputs
Input by Input by TrafficTraffic
ImpactImpact
ForcedForced--Vibration Vibration
by by ExciterExciter
SurveyingSurveying
GPSGPS
LaserLaser
Remote Remote SensingSensing
Photo Photo MethodsMethods
Material Material TestingTestingThermalThermal
MagneticMagnetic
UltrasonicUltrasonic
AcousticAcoustic
ElectricalElectrical
OpticalOptical
ElectroElectro--ChemChem
NuclearNuclear
Special Special Loading Loading DevicesDevices
Measure Measure Input & Input & OutputsOutputs
Input by Input by Traffic, Traffic, Wind, Wind,
SeismicSeismic
Input by Input by TrafficTraffic
ShortShort--Term (Hours) Structural TestingTerm (Hours) Structural Testing
Classification of Experimental Tools Classification of Experimental Tools
LowLow--Bandwidth Bandwidth MeasurementsMeasurements
HighHigh--Bandwidth Bandwidth MeasurementsMeasurements
LongLong--Term Monitoring (Months Term Monitoring (Months –– Decades)Decades)
VibrationsVibrationsConstruction EffectsConstruction Effects
Traffic LoadsTraffic LoadsWind/Ambient Weather ConditionsWind/Ambient Weather Conditions
TemperatureTemperature
Movements or DisplacementsMovements or DisplacementsOperationsOperations
Incidents or AccidentsIncidents or Accidents
ImpactsImpacts
EarthquakeEarthquake
Security MonitoringSecurity Monitoring
Mechanical Variables (Force, Mechanical Variables (Force, Stress, Strain, etc)Stress, Strain, etc)
Changes in: Geometry, Changes in: Geometry, ElectroElectro--chemical Propertieschemical Properties
Deterioration/Damage EffectsDeterioration/Damage Effects
Semantic Models•Ontologies•Semiotic ModelsMeta Models•Rule-based meta Models•Mathematical (Ramberg-Osgood, etc.)Numerical Models•Probabilistic Models- Histograms to Frequency Distribution- Standard Prob. Distributions- Independent events- Event-based (Bayesian)- Time-Based (Markov)- Symptom-based•Agents: Meta + Monte Carlo•Statistical (Data-Based)- ARMA, ANN, others- Signal/Pattern Analysis, Wavelet, etc
Mathematical Physics Models•F=MA•E=MC2
Continua Models•Theory of Elasticity•Field and Wave Eqns•Idealized Diff. Eqns (Bernoulli, Vlasov, etc.)Discrete Geometric Models•Smeared-Macro or Element Level Models•FEM-for Solids and Field Problems•Modal Models:- Modal Parameters- Ritz VectorsNumerical Models•K,M,C Coefficients
Non-Physics-Based Models Physics-Based Models
MODELING ALTERNATIVES FOR CONSTRUCTED SYSTEMS
Experimental Technologies
Analytical Technologies
Analytical Modeling Macro- Element-FE
CAD-Reverse CAD Linear Analysis
Static Moving Dynamic
Non-linear AnalysisPush-to-Collapse
Geometry Material
Information TechnologiesData Acq,
Transmission, Synchronization,
and Quality Assessment
Data Processing, and Visual Display
Data Archival,Warehousing, and Analysis
DataInterpretation
Knowledge Wisdom DecisionInformationData
Geometry Monitoring
Controlled Testing
NDE Material/Characterization
SCADA SystemMonitoring
Systems Integration:
Experience
Clermont BridgeNon Destructive And
Destructive Testing Of A Concrete Slab Bridge and
Associated Analytical Studies(1990-1992)
40-year Old RC Slab Bridge
Servo-Controller and Data Acquisition Hardware in Field Office
Loading System
Shear Failure Triggered By Deterioration
Chem Deterioration of Concrete
D-Cracking and Alkali-Silica Reaction
Load-Displacement Test Response
Nondestructive/Destructive Tests and Associated Studies on
Two Aged, Decommissioned Steel Truss Bridges
(1992-1994)
Pratt Bridge
Camelback Bridge
Alkire Bridges
Load Transfer System Chord Failure
Pratt Bridge Camelback
Bridge
Nondestructive Testing and Identification for
Bridge Rating (1988-1993).
Reading RoadBridge
c
ccc
Bridge HealthMonitor
WIM ScaleMonitor
WeatherStation
TrafficCameraRemote Monitoring
Station
Pier 1Pier 2 Abut 1Abut 2
HAM-42-0992 Westbound
Concrete GagesRosette Strain Gages
Vibrating Wire Gage ClusterFoil Gage Cluster (Type 1)
c
type 1type 2type 3
Foil Gage Cluster (Type 3)Foil Gage Cluster (Type 2)
Site Design for Bridge Monitor System
-100
-50
0
50
100
150
200
250
Sep-94 Jan-95 Apr-95 Jul-95 Oct-95 Feb-96 May-96 Aug-96 Dec-96
Date
Mic
rost
rain
0
20
40
60
80
100
Tem
pera
ture
(F)
Ambient Temp. DEGF
PIER
MID
SPAN
ABUT
MEN
T
Two Year Continuous Monitoring Results(Nov 94-Nov 96)
∆T=111.4 F
∆ε =359 µε
Sampling: 1sample / 6 hours
Instrumentation of Steel Grid Superstructure
Data Acquisition Cabinet
for Teleremote On-Line
Monitoring of In-Service
Responses
Instrumentation, Testing and Monitoring of a Newly
Constructed Reinforced Concrete Deck-On-Steel
Girder Bridge (1994-1998).
Hamilton Bridge
Deck Pouring Operation
RC deck Embedment Sensors
Instrumentation of the Stringers
Pile Instrumentation
Heat-Camber Instrumentation
View Under the Deck
ANALYTICAL MODELING FOR ACCURATE SIMULATION
Bridge Ham 42-0992
LINK ELEMENTS
5150 D
OF'S
(a) 3-D FEM
(d) Pier
VERTICALSPRINGS
BEAM ELEMENT
SHELL ELEMENT
LINK ELEMENT
LINK
LINK BEAM ELEMENTVERTICAL SPRING
ROTATIONAL SPRINGSBEAM ELEMENT
LINKELEMENT
SHELL ELEMENT
LINK ELEMENT
(c) Abutment
BEAM ELEMENT
SHELL ELEMENT
BEAM ELEMENT
(b) Slab, Girders, and Cross-Braces
SLAB &CROSS BRACES
(BEAM ELEMENT)
SLAB &GIRDERS
(BEAM ELEMENT)
(a) 2-D Grid
(b) Slab, Girders, and Cross-Braces
(c) Equivalent Beams
LONG
ITUDIN
AL B
EAMTRANSVERSE BEAM
500 DOF'S
Bridge Characterization through Grid Model
Bridge Characterization through FE Model
Bearing Pad Detail Over Pier
Abutment Detail
ABUTMENT
PIER
Flexibility Change Due to Pads
-0.010
DEF
LEC
TIO
N (I
N.)
-0.008
-0.006
-0.004
-0.002
0.000
WESTPIER
EASTPIER
OCT. 1991 AUG. 1997
BGCI INDICATES CHANGEAT WEST PIER BRGS.
BGCI GIRDER 2 N
FALL 1991 SUMMER 1997
UPLIFT
Figure 13: Bridge Girder Condition Index Results
Damage Scenarios: Steel SuperstructureOne-Sided Flange Cut Two-Sided Flange Cut
Crossframe CutsWeb Cut
Bridge-Type Specific Management of Steel-Stringer Bridges in Ohio
(1996-1998)
Seymour BridgeTransforming a bridge into a laboratory:
-0.006
-0.002
0.00
1 kip/point
Deflection, in.
NDamage Location
-0.004
3.823.81
3.85
After X-Brace Cut4.33 3.69
Modal Flexibility Based Deflections (BGCI)
After X-Brace Cut at South SpanWelding/Restoration of BC's
5.09
Test (Baseline)
Flex Coefficient = 0.0026 in/kip
78'
45'
55'55'50' 40'40'
40'
40'-2 1/2" 88'-5 5/8" 40'-3 1/2"
40'
Flex Coefficient = 0.0025 in/kip Flex Coefficient = 0.0021 in/kip
Reading Road Bridge, Cincinnati, OH
Cons. Year 1997
Hamilton Ave. Bridge, Cincinnati, OH
Seymour Ave. Bridge, Cincinnati, OH
Cons. Year 1953 Cons. Year 1989
FLEXIBILITY COEFFICIENTS FOR STEEL-STRINGER BRIDGES
78'
45'
55'55'50' 40'40'
40'
40'-2 1/2" 88'-5 5/8" 40'-3 1/2"
40'
Reading Road Bridge, Cincinnati, OH
Cons. Year 1989
Hamilton Ave. Bridge, Cincinnati, OH
Seymour Ave. Bridge, Cincinnati, OH
Cons. Year 1953
HS20-44 Loading(8 kips+32 kips)
Measured Deflection:0.0724 in
L/800: (AASHTO)0.0975 in
COMPARISONS FOR STEEL STRINGER BRIDGES
Cons. Year 1997
Freqs (Exp) 4.94 Hz5.30 Hz7.47 Hz
HS20-44 Loading(8 kips+32 kips)
Measured Deflection 0.0827 in
L/800: (AASHTO)0.0625 in
Flex Coeff. 0.0021 in/kip
HS20-44 Loading(8 kips+32 kips)
Measured Deflection:0.0846 in
L/800: (AASHTO)0.1106 in
Freqs (Exp) 4.55 Hz5.14 Hz7.95 Hz
Freqs (Exp) 7.16 Hz8.06 Hz8.82 Hz
Flex Coeff. 0.0026 in/kip
Flex Coeff. 0.0025 in/kip
MECHANISMS GOVERNING BEHAVIOR OF THE READING ROAD BRIDGE HAM-42-0992
NONCOMPOSITE
D=1.19"
D=0.67"
COMPOSITE
D=1.71"
W/O DECK
D=2.00"
W/O DECK & X-BRACES
PRE-725-0800
BUT-732-1043
HAM-27-1550LHAM-27-1550R
CLE-52-0498RCLE-52-0498L
Locations of 6 Bridges:Locations of 6 Bridges:State of OHIO, District and Counties MapState of OHIO, District and Counties Map
(Courtesy of Ahmet Turer, METU)
54'-0" (L) 67'-6" (L)
4 Spaces @ 9'-6"= 38'-0"
(L and R)
Varies
Varies
54'-0" (L)60'-0" (R) 75'-0" (R) 60'-0" (R)
Crossframes12 spaces @ 13' = 156' (L)
14 spaces @ 12'-3" or 13'-3.5" = 175'-8" (R)
HAM-27-1550L and R
BUT-732-1043
4 spaces@ 8'-4 1/2"
= 33'-6"
60'-0" 75'-0" 60'-0"
Crossframes18 spaces @ 10'-10" = 195'
1'-4"
1'-4"
CLE-52-0498L and R
68'-0"(L and R)
85'-0"(L and R)
68'-0"(L and R)
2'-4"
5'-6"
Crossframes18 spaces @ 12'-3 1/3" = 221'-0" (L and R)
1'-7"
4 spaces @ 7'-6"= 30'-0" (L and R)
Bridge Age Skew Deck Width Length* Span Ratio Gen. Insp.PRE-725-0800 30 yrs (1968) 10 deg. 38'-0" 192'-0" 0.7L, L, 0.7L 6HAM-27-1550L 28 yrs (1970) 9 deg. 42'-0" 175'-6" 0.8L, L, 0.8L 7HAM-27-1550R 28 yrs (1970) 9 deg 42'-0" 195'-0" 0.8L, L, 0.8L 7BUT-732-1043 46 yrs (1952) 0 deg 36'-2" 195'-0" 0.8L, L, 0.8L 6CLE-52-0498R 33 yrs (1965/91) 0 deg 39'-5" 221'-0" 0.8L, L, 0.8L 7CLE-52-0498L 33 yrs (1965/91) 0 deg 39'-5" 221'-0" 0.8L, L, 0.8L 7
PRE-725-0800
12' 12'Crossframes
14 spaces @ 12' = 168'
56'-0" 80'-0"
2'-3"4 Spaces
@ 8'-4 1/2"= 33'-6"
56'-0"
2'-3"
Comparison of BARS and Grid/FEM Based Rating Factors (ASD, Inventory, Nominal)
y = 2.0425xR2 = 0.6687
y = 1.9363xR2 = -2.8752
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4
BARS Rating Factors
Cal
ibra
ted
Grid
/FEM
Mod
el B
ased
Rat
ing
Fact
ors
BARS vs FEMBARS vs GridBest FitBest Fit
(Courtesy of Ahmet Turer, METU)
Steel-Girder Bridge Population ManagementDESIGN SYSTEMS
?
?
?
?
?
?
?
HYDROLOGY
DRAINAGE
?
?
?
? PAVEMENT
FOUNDATION ?
ABUTMENT ?
PIER
BEARING
BEAMS ?
X-FRAMES ?
DECK ?
MOVEMENT ?
SOIL
PERFORMANCE SYSTEMS(OPERATION)
SERVICEABILITY
DURABILITY
MAINTAINABILITY
FATIGUEREDUNDANCYFAILURE MODES
CONCRETESTEELDETAILS (BRGS., PINS, ETC.)
INSPECTIONPAINTMOVEMENTOVERLAYSDRAINAGELIFE-CYCLE COST
STRESSESDEFLECTIONSCRACKINGVIBRATIONSAESTHETICS
ORGANIZATIONAL SYSTEMS
DESIGN
CONSTRUCTION
OPERATION
INSPECTION
RATING
PERMITS
MAINTENANCE
REHAB/RETROFIT
DECOMMISSION/RENEWAL
MANAGEMENT
FINANCING
FEASIBILITY & IMPACT
PLANNING
SAFETY
OPERATIONS
Instrumentation, Proof-Testing and
Monitoring of Three Reinforced
Concrete Deck-on-Steel Girder Bridges Prior to, During
and After Superload
(1996-1997)
Toledo Super-Load
Loaded Truck Crossing A Bridge Close-Up of
Superload
Correlations Between The Super-Load Measurements and Simulations Obtained From FE Analyses
Instrumenting bridges by strain, tilt and
displacement sensors
Nondestructive Condition Assessment of a Posted
Bridge(1996-1997)
Tindall Bridge Top Chord and Instrumentation Details
Floor Grate Compression- Strut-to-Lower-Chord Joint Deterioration
Micro-Sampling Technique FE Modeling for Sample Locations
Scanning Electron Miroscope Photos:
Aged Steel With Corroded Layer
Contemporary Steel
Tindall Bridge
Two-span 1927
1922
UNIVERSITY
Profile of T-Beam Bridges in Pennsylvania
Total Number in USA > 32,000Total Number in PA >2600Type Specific Design
Built Between ~1930 & 1950Span ~20 ft -40 ftWidth ~ 20 ft - 40 ftSkew ~ 0 - 45 degSlab Thickness ~ 8-8.5 inBeam Spacing ~ 5 ft on centerBeam Depth ~ 19 in - 40 in
Standard Design Dwgs.
1,651 Single Span T-beam Bridges in PA
Statistical Representative 60 T-Beam Bridges
Entire 1,651 T-Beam Bridge PopulationStatistical Representative 60 T-Beam Bridges
< 192930%
1929 to 193830%
1939 to 194817%
> 194823%
Year Built
201 to 55031%551 to 1000
17%
1001 to 500027%
0 to 20022%
> 50003%
Average Daily Truck Traffic
Skew Angle (degrees)
16 ft to 32 ft62%
33ft to 40ft18%
41 ft to 55 ft20%
> 500%
0 to 743%
8 to 2218%
23 to 3722%
38 to 5017%
Skew Angle(degrees)
536%
623%
7 to 818% 4
20%
33%
Year Built
1929 to 193834%
< 192924%
> 194824%
1939 to 194818%
Skew Angle (degrees)
> 501%
8 to 2219%
23 to 3722%
38 to 5020%
0 to 738%
Span(Width
Dependent)
16 ft to 32 ft64%
33ft to 40ft22%
41 ft to 55 ft14%
Average Daily Truck Traffic
0 to 20050%
201 to 55025%
551 to 100010%
1001 to 500012%
> 50003%
37%7 to 8
15%
617%
427%
534%
SuperStructure Condition
Rating
Span(Width
Dependent)
Nominal Structural Parameters Condition Parameters
SuperStructure Condition
Rating
Entire 1,651 T-Beam Bridge Population
STATISTICAL SAMPLING OF T-BEAM BRIDGES
Churchville Road Bridge, PA
Academy Road Bridge, PA
Coring of the deck
Manoa Bridge, PA
Core Samples
SAMPLE T-BEAM BRIDGES
Cross Section of the Model
16.85”
15.5”
15.75”
8.5”
Reinforcement
Statistics of The Model:Number of DOF =108243Number of Solid Elements = 22940Number of Frame Elements = 7636
T-Beams
Parapet
End Diaphragm
Structural Details & Boundary Condition
3.375”
3.375”12”
3.375”
3.375”12”
Typical Solid ElementDimensions
Pin End
Roller End
UNIVERSITY
Details of the Swan Road Bridge Finite Element Model
Transverse Centerline Deflection of the Superstructure (Test vs. Models)
Def
lect
ion
(in)
-0.010
-0.020
-0.030
0
-0.040
-0.050
-0.060
-0.070
Section A-A
A2 B2 C2 D2 E2 F2
K K
K = 1000 kip/in
K K
K = 1000 kip/in
Boundary Condition Idealization of Different Models:
Displacement Sensor Location
A-A
A B C D E F
3
2
1
CL
CL
Truck and Sensor Locations:
-0.010
-0.020
-0.030
0
Def
lect
ion
(in)
-0.040
-0.050
-0.060
-0.070
Deflection of the T-Beam "C" (Test vs. Models)
Superstructure
C3 C2 C1
Section B-B
B-B
UNIVERSITY
Regional Calibration-Deflections of the Swan Road Bridge & Test Results
H20 Truck
d) Field-calib. FEM w/o Concrete Deck Rating Factor: RI=2.18, RO=3.63
a) AASHTO based BAR7 Analysis Rating Factor: RI=1.27, RO=2.11
b) Field-calibrated FE Model Rating Factor: RI=3.18, RO=5.32
f) Damage and Deterioration Case 2 (Case e and only vertical restraints at the inner edge of the boundary)
Rating Factor: RI=1.05, RO=1.76
c) Field-calib FEM w/o Parapet and Sidewalks Rating Factor: RI=3.10, RO=5.18
e) Damage and Deterioration Case 1 (40% of concrete, only 80% of upper layer rebar)
Rating Factor: RI=1.16, RO=1.93
H20 Trucks
UNIVERSITY
Comparison of Different Model Load Rating Results
Mechanisms Contributing To 2.5 - 5 Times Capacity Rating Relative to Current Practice
(Limit Condition: First Yield in Steel)
v Demand Mechanisms• Compression due to Pavement
Thrust and Soil Pressure
• Boundaries Partially Restrained For Displacement and Rotation Due to Geometry and Dowels
• Reinforced Concrete Parapets
• Stiff Diaphragm Beams
• Lateral Load Distribution by Slab Is More Effective than simulated by DF
• Effective Force Redistribution Due To Cracking Not Incorporated
v Capacity MechanismsNot Incorporated in RF
• Bi-axial Compression State of Concrete Stress due to Restrained Boundaries
• Higher Yield Strength, Statistical Strength and Post-Yield Strain Hardening of Steel
• Multiple Rebar Layers
• Yield Line Capacity of Slab
Long-Span Bridges: St-ID
Conceptualize
A-Priori Modelingfor Exp Design
Utilization
Monitoring and Controlled Tests
Calibration,Parameter Id Process and
Interpret Data
1
3
2
45
6
Analytical Modeling and Simulation
Observation and Experiment
Conceptualization and FEM ProcessDesign Drawings
Photograph
CAD Model
Structural Model
Drawings
PP27
Upper Chord at PP27
PP27
Panel Point 27Lower Chord at PP 27
PP27
L27U27
L27L28L26L27
L27U28
Moment Release (Axis 3)Axial Force Release (Axis 1)
Moment Release (Axis 3)
PP 27 – PlanPP 27
LowerChord
Verticals and Diagonals
Floor System
PP27
Lower Chord at PP27
Floor System
PP 27 and Floor
System
Plan View at PP27
Floor System
Ambient Vibration Test with Dense Sensor Array
45 Accelerometers
Utilized
Vert. Accel.
Long. Accel.
Lat. Accel.
Pier W1
~416'
Pier CL
Bottom Chord Level
Static and Crawl Speed Load TestStatic and Crawl Speed Load Test
5-7 mph
0 10 20 30 40 50 60 70-5
0
5
10
15
20
25
30
35
PP27
panel points
Str
ain
(mic
rost
rain
)
L1
PP36
South Hanger Strains (L1)
13'-0"13'-0" 11'-4" 11'-4" 11'-4"
987654321
N 1 2 3 4 5 S
Stringer
Time (sec) and Position of Load
Stra
in (m
icro
stra
in)
14000 200 400 600 800 1000 1200-50
0
50
100
150
200
250
PP26
1'
PP26
PP25
NorthSouth
L1
Stringer 8
PP25
Repeatability Check
L.C. 1 ( Crane A)
L.C. 7 ( Crane A+B)
L.C. 7 ( Crane A)
L.C. 4 ( Crane A)
Single Crane During Crawl Speed Test
Static Test DataFor Stringer b/wPP25-PP26
Crawl Speed TestData for Influence Line Generation
Real-time Portal: http://216.178.81.122/portal/ installed sensors and systems accessible (http://216.178.81.122/cbb sensors.htm)
Using Field-Calibrated Models and Health Monitoring By Real-Time Information Systems for Management
SECURITYSECURITY
•Traffic Enforcement
•Weight Enforcement
•Detection/Response: Incidents/Accidents
•Security Surveillance
•Emergency Response Natural and Man-Made Hazards:
•Hit & Run•Terrorism
OPERATIONOPERATION•Safety:ØWeather ØRoad SurfaceØIncidents ØAccidents
•Traffic Flow:ØE-AdvisoriesØSpeed LimitsØTruck/Auto/HOV
•Revenue:ØE-TollingØZone/Time TollØWeight-TollingØLoad PermitsØStatistical Data
MAINTENANCEMAINTENANCE• Detect and Mitigate Deterioration (corrosion)
• Detect and Intercept Damage (fatigue- crack)
• Harden for Security• Repair Unavoidable Deterioration/Damage
• Retrofit (fracture-critical)• Rapid Condition Evaluation (Post-Hazard)
Natural Environment
Operating Environment
ConstructedSystems
Henry Hudson BridgeHenry Hudson Bridge
Manhattan The BronxEAST ELEVATION
South Approach
South Viaduct
South Tower
94 m 91 m
North TowerArch Span
256 m
North Viaduct
North Approach
91 m 82 m
T
T
V
V East Side Vertical East Side Vertical AccelerometerAccelerometer
West Side Vertical West Side Vertical AccelerometerAccelerometer
East Side Transverse East Side Transverse AccelerometerAccelerometer
West Side Transverse West Side Transverse AccelerometerAccelerometer
L
L East Side Longitudinal East Side Longitudinal AccelerometerAccelerometer
West Side Longitudinal West Side Longitudinal AccelerometerAccelerometer
V T V T Sensors used in Stage 1 & Stage 2 TestsSensors used in Stage 1 & Stage 2 Tests
Instrumentation PlanInstrumentation Plan
Tow
erTo
wer
Tow
erTo
wer
CL ArchCL Arch
South South ViaductViaduct
North North ViaductViaduct
Upper Upper LevelLevel
Lower Lower LevelLevel
T T T
T
T
TT
T
T
TT
TT
TT
T
T
T
T
T
T
T
T
TT
TV
VV
V
VV
V
VV L
V
LL LL L L L
East ElevationEast Elevation
Stage 1 Test SetupStage 1 Test Setup
V
Stage 2 Test SetupStage 2 Test Setup
Sensors and Data AcquisitionSensors and Data Acquisition
Ambient Vibration Testing of the Ambient Vibration Testing of the Brooklyn BridgeBrooklyn Bridge
Accelerometer InstallationAccelerometer Installation
Performance of InfrastructurePerformance of InfrastructureWhat is so different about civil infrastructure systems?What is so different about civil infrastructure systems?
Fabricated/constructed natureFabricated/constructed natureVariations in geometric and material properties, environment, Variations in geometric and material properties, environment, site conditions, usage, age, condition, etc.site conditions, usage, age, condition, etc.Lack of objective data = significant epistemic uncertainty = Lack of objective data = significant epistemic uncertainty = greater cost & less than optimal performancegreater cost & less than optimal performance
Performance limit states for constructed systemsPerformance limit states for constructed systemsCodes consider only a few of many possible limit states Codes consider only a few of many possible limit states (Functionality, Serviceability & Durability, Safety & Stability (Functionality, Serviceability & Durability, Safety & Stability of of Failure, Safety at Conditional Limit States)Failure, Safety at Conditional Limit States)Performance Based Engineering: expected performance Performance Based Engineering: expected performance criteria for the full spectrum of limit states in the life cyclecriteria for the full spectrum of limit states in the life cycle of of a bridgea bridgeWhy is state of practice so deficient? Lack of objective dataWhy is state of practice so deficient? Lack of objective data
Health index Beta Health index Beta –– different for different limit statesdifferent for different limit states
Disaster responsePlanning;Emergency
management
Protection ofescape routes,evacuation, search and rescue needs, minimizeCasualties;EconomicRecovery (years)
Multi-hazards RiskManagement
Assurance of lifesafety and quickrecovery ofoperations following ahazard
(days-months)
Multiple-objectivePerformancefunction forintegrated assetmanagement
Functions relating to optimizing inspection,maintenance andrehabilitation during lifecycle
Multi-objective performance function for integrated asset management
Functions relating to operationalefficiencysafety andsecurity
Substantial Safety at Conditional Limit States
Life Safety and Stability of Failure
Serviceability and Durability
Utility and Functionality
Limit State
Limit States and Performance GoalsPe
rfor
man
ce C
riter
ia
Performance Indices for Bridges• Operational Safety, Security, Utility and Functionality:
– Safety - under adverse weather (ice, wind, roadway freezing)– Security Risks: Threats - Vulnerability – Consequences – Bridge versus Network operational capacities/demands – Geometric Restrictions: Lanes, Height/Width, Approaches– Criticality for the network, necessary for emergency response?– User costs and economic (GDP) impacts of bridge if closed
• Safety:– Load capacity rating (based on actual measured load distribution)– Vulnerability to Hazards (Manmade and Natural) and Risks – Redundancy and Toughness (especially for hazards)
• Serviceability, Durability– Condition rating and rate of decrease in condition rating– Deflections, Cracks, Debonding, Vibrations, Settlements– Drainage, Chlorides, Reactive aggregates, Rebar corrosion
• Feasibility of Inspection and Maintenance
Vulnerability:Probability of
Failure to Perform
Hazard:Probability of
Extreme Design
Demands Exceeded
Exposure:Consequences
of failure to perform during that limit event
Uncertainty Premium
Risk of failure to perform at a limit event
Performance-Based Design Based on Uncertainty/Risk:
Establish the resistance envelope to meet the demands at each limit-event based on an acceptable risk of failure to perform at that event i.e.:
P (Φ Capacity <= γ Demand)
Establish P for each limit-event and select Demand,actions, Φ and γ based on an acceptable risk of failure to perform at that limit-event.
Performance-Based Design and Evaluation under Uncertainty and Risk