Assessment of the Automation Algorithm for TDR Bridge - Ohio ...

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$Page 1 of 8 Traffic Survey Report 12/29/2006 file://X:\TC\Traffic ...$

Laboratory Observations and Algorithm of Signal Interpretation (cont.) • Empirical equation can be used to estimate scour depth • Dry density and electric conductivity of water can be determined from TDR signals. • Analyses algorithms can be implemented for automation. 98
Evaluation of TDR under Various Conditions and Signal Interpretation • Algorithm works for different sediments. Dielectric scour estimation is more stable. • Insulated probe for highly conductive water • TDR works in air entrapped water, turbid water • Works in water with changing surface level Better submerged in water • Works in “dry scour”, but special interpretation algorithm is needed. • Scour measurements are real-time and accurate. 99
Page 1 and 2:
ODOT Project Review Session Present
Page 3 and 4:
Introduction 1.1 Motivation for Bri
Page 5 and 6:
Classification • General Scour
Page 7 and 8:
Local Scour • Pier scour and abut
Page 9 and 10:
Physical Modeling Parameters relate
Page 11 and 12:
Numerical Simulation • 1D simulat
Page 13 and 14:
Field observation • A co-operativ
Page 15 and 16:
Literature review: scour monitoring
Page 17 and 18:
2.1 Motivation for Scour Instrument
Page 19 and 20:
• Lagasse and Price 1997 NCHRP Pr
Page 21 and 22:
• Mueller and Landers 1999 PVC-po
Page 23 and 24:
National practice of scour monitori
Page 25 and 26:
Sonar (cont.) A sonar system for br
Page 27 and 28:
Sonar (cont.) • Data Acquisition
Page 29 and 30:
Time Domain Reflectometry Dowding a
Page 31 and 32:
Reflection at Interface Reflection
Page 33 and 34:
Outline • Introduction • Litera
Page 35 and 36:
Experiment Setup and Procedure •
Page 37 and 38:
Voltage(V) Test results 0.4 0.0 -0.
Page 39 and 40:
3.2 Algorithms for TDR Signal Inter
Page 41 and 42:
Mixing Formula for Electrical Condu
Page 43 and 44:
sqrt(Ka)/sqrt(kw) Empirical Equatio
Page 45 and 46:
River condition assessment • Elec
Page 47 and 48: Results by Using Design Equation
Page 49 and 50: Scour Estimation Based on Detecting
Page 51 and 52: Sample results 0.01 0 -0.01 -0.02 F
Page 53 and 54: Monitoring of Simulated Scour in Va
Page 55 and 56: Normalized dielectric constant 1.0
Page 57 and 58: Normalized dielectric constant 1.0
Page 59 and 60: TDR measurements of scour for diffe
Page 61 and 62: Scour Monitoring in Water of High E
Page 63 and 64: Dielectric constant by insulated pr
Page 65 and 66: Effect of air bubbles on dielectric
Page 67 and 68: Scour monitoring in water with vary
Page 69 and 70: A Comparison of TDR and Ultrasound
Page 71 and 72: Voltage(V) Results 0.5 0.0 -0.5 -1.
Page 73 and 74: ECb,w(ms/m) Electric conductivity o
Page 75 and 76: Outline • Introduction • Litera
Page 77 and 78: 5.2 Use of FEMLAB for TDR Probe Des
Page 79 and 80: Electric field, Case I 79
Page 81 and 82: • Effective measured dielectric c
Page 83 and 84: Sampling area ∫∫ Ω ∑ 100 ×
Page 85 and 86: 5.3 Coated TDR CS605 Moisture Probe
Page 87 and 88: Lab Evaluation of Strip Scour Senso
Page 89 and 90: FEMLAB Analysis of the Performance
Page 91 and 92: Electric potential Sensor in water
Page 93 and 94: Sampling area, saturate sand Field
Page 95 and 96: Scour measurement TDR measured scou
Page 97: Laboratory Observations and Algorit
Page 101 and 102: Future work •Continue to develop
Page 103 and 104: Acknowledgement • Ohio Department
Page 106: Connection to another scour monitor
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Assessment of the Automation Algorithm for TDR Bridge - Ohio ...

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