Stress inversion method and analysis of GPS array data

Muneo Hori, Takeshi Iinuma, Teruyuki Kato

Research output: Contribution to journalShort surveypeer-review


The stress inversion method is developed to find a stress field which satisfies the equation of equilibrium for a body in a state of plane stress. When one stress-strain relation is known and data on the strain distribution on the body and traction along the boundary are provided, the method solves a well-posed problem, which is a linear boundary value problem for Airy's stress function, with the governing equation being the Poisson equation and the boundary conditions being of the Neumann type. The stress inversion method is applied to the Global Positioning System (GPS) array data of the Japanese Islands. The stress increment distribution, which is associated with the displacement increment measured by the GPS array, is computed, and it is found that the distribution is not uniform over the islands and that some regions have a relatively large increment. The elasticity inversion method is developed as an alternative to the stress inversion method; it is based on the assumption of linear elastic deformation with unknown elastic moduli and does not need boundary traction data, which are usually difficult to measure. This method is applied to the GPS array data of a small region in Japan to which the stress inversion method is not applicable. To cite this article: M. Hori et al., C. R. Mecanique 336 (2008).

Original languageEnglish
Pages (from-to)132-148
Number of pages17
JournalComptes Rendus - Mecanique
Issue number1-2
Publication statusPublished - 2008 Jan
Externally publishedYes


  • Crustal deformation
  • Dynamical systems
  • GPS (Global Positioning System)
  • Identification of local constitutive relation
  • Inverse analysis

ASJC Scopus subject areas

  • Materials Science(all)
  • Mechanics of Materials


Dive into the research topics of 'Stress inversion method and analysis of GPS array data'. Together they form a unique fingerprint.

Cite this