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Feature 2. Feature 1. 土木基礎結構損壞偵測技術: 含非線性環境影響之考慮. Feature 2. 題目:. 題. Feature 1. 許丁友 先生 Associate Research Fellow, National Center for Research on Earthquake Engineering. 講者:. Feature 2. 時地:. 民國 101/05/10 ( 三 ) 3:00 PM. 土木館 5F. Feature 1. 1. Introduction.

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4121063

Feature 2

Feature 1

土木基礎結構損壞偵測技術:含非線性環境影響之考慮

Feature 2

題目:

Feature 1

許丁友 先生

Associate Research Fellow, National Center for Research on Earthquake Engineering

講者:

Feature 2

時地:

民國101/05/10 (三)3:00 PM.土木館5F

Feature 1

1. Introduction

3. Treating Nonlinear Environmental Effects

Motivation of SHM

Due to Environment

Due to Damage

  • Situation 1

  • Features are sensitive to damage but insensitive to environmental factors

  • Environmental variability

  • Conditional variability

  • Physical size

  • Material variability

  • Vibration-based Damage Detection

    • Cost-effective

    • On-line automatic

    • Condition-based

Ho-Feng Bridge (2008)

  • Situation 2

Structural

Life

Trends of features due to damage and environment are analogous

Point

Excitation

Ground Excitation

Hungary (2010)

Minneapolis Bridge (2007)

  • Performance Monitoring

  • Visual inspection or NDT

    • Costly

    • Time consuming

    • Time-based

Alamosa Canyon Bridge (Sohn et al. 2001)

Z24 Bridge(Peeters & De Roeck 2001)

  • Damage Detection

  • Situation 3

  • Trends of features due to damage and environment are distinct

Metrodome(2010)

Hubei (2008)

4. Conclusions

  • The Frequency Response Function Change (FRFC) method

    • Non-FEM-based Level-III damage detection

    • Numerical and experimental studies

  • The integration between FRFC method and WSS

    • On-line automatic Level-III damage detection

    • Collocated computing resources of WSS

    • The energy consumed by WSUs could be greatly reduced

  • A method treating nonlinear environmental effects to achieve Level-III damage detection is proposed and verified by numerical studies

    • Without measuring the environmental factors

    • Non-decreasing or non-increasing, e.g. damage index

2. Damage Detection Methods

Motive & Literature Review

感謝 許丁友 先生 精彩的演講


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