Fatigue analysis and life prediction of bridges with structural health monitoring data — Part I: methodology and strategy

By Z. X. Li, T. Chan, J. Ko. 2001

146 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Mechanical Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/8e9165832f334759b14f438edfcdb99a1f0333e9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Xiao-Wei Ye
2. Y. H. Su
3. J. P. Han

In Mechanical Engineering

1. Xiao-Wei Ye
2. Y. H. Su
3. J. P. Han

In Mechanics of Materials

1. Xiao-Wei Ye
2. Y. H. Su
3. J. P. Han

Citations in the corpus

• A State-of-the-Art Review on Fatigue Life Assessment of Steel Bridges (2014, methodology): “[121] developed a methodology and strategy for fatigue damage analysis and life prediction, and fatigue condition assessment of bridge-deck sections of the Tsing Ma Bridge was carried out taking full advantage of the on-line SHM data.”