Three-Dimensional Networks Are Horizontally Superior in Robustness: A Mathematical Reasoning

After least squares adjustment, the possible outliers among the observations are detected using a statistical test, such as Baarda's data-snooping test. However, statistical tests do not guarantee that all of the incorrect observations will be detected. Robustness analysis is a technique that augments this classical approach with geometrical strength analysis using strain. The technique allows the effect of undetected errors among the observations to be portrayed. In this technical note, the authors show that 3-D networks are usually horizontally superior in robustness by explaining mathematically why the magnitudes of the deformation measures in the XZ and YZ planes are many times larger than their XY-plane counterparts.

  • Availability:
  • Supplemental Notes:
    • Abstract reprinted with permission from ASCE
  • Authors:
    • Hsu, Ronghin
    • Lee, Hsu-Chih
    • Kao, Szu-Pyng
  • Publication Date: 2008-5


  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 01100321
  • Record Type: Publication
  • Files: TRIS
  • Created Date: May 28 2008 2:51PM