Application of probabilistic approach to the solution of inverse problems in nondestructive testing and engineering geophysics

Rambod Hadidi, Nenad Gucunski, Ali Maher

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Interpretation of geophysical data often requires the solution of an inverse problem or simply, inversion. Inverse problem is a problem where the observed data is used to infer the characteristics of the system under investigation. There are two general approaches to the solution of inverse problems, deterministic and probabilistic approaches. Traditionally, in engineering geophysics, inversion is carried out using a deterministic approach, where a single set of results is identified as the interpretation outcome. In complex inverse problems, the deterministic solution process is often guided by an interpreter, who uses his information, experience, or judgment to guide the process. The deterministic approach to the solution of inverse problems implicitly assumes that the uncertainties in data and quantitative models are negligible. However, this assumption is not valid in many applications and, consequently, obtaining a single set of results does not provide a complete picture in terms of quantifying the effects of data and/or theoretical uncertainties on the obtained solution. In this paper, a general probabilistic approach to the solution of inverse problems is introduced, which offers the framework required to obtain uncertainty measures and to include some a priori information in the solution process. A technique for the evaluation of the probabilistic solution using Monte Carlo Markov Chains (MCMC) with Neighborhood Algorithm (NA) approximation is introduced and explained. Finally, the application of the presented approach in the health monitoring of transportation infrastructure using non-destructive testing (NDT) is illustrated.

Original languageEnglish (US)
Title of host publicationEnvironmental and Engineering Geophysical Society - 20th, SAGEEP 2007
Subtitle of host publicationGeophysical Investigation and Problem Solving for the Next Generation
Pages156-165
Number of pages10
StatePublished - Dec 1 2007
Event20th Symposium on the Application of Geophysics to Engineering and Environmental Problems: Geophysical Investigation and Problem Solving for the Next Generation, SAGEEP 2007 - Denver, CO, United States
Duration: Apr 1 2007Apr 5 2007

Publication series

NameProceedings of the Symposium on the Application of Geophyics to Engineering and Environmental Problems, SAGEEP
Volume1

Other

Other20th Symposium on the Application of Geophysics to Engineering and Environmental Problems: Geophysical Investigation and Problem Solving for the Next Generation, SAGEEP 2007
CountryUnited States
CityDenver, CO
Period4/1/074/5/07

All Science Journal Classification (ASJC) codes

  • Geophysics
  • Geotechnical Engineering and Engineering Geology
  • Environmental Engineering

Fingerprint Dive into the research topics of 'Application of probabilistic approach to the solution of inverse problems in nondestructive testing and engineering geophysics'. Together they form a unique fingerprint.

  • Cite this

    Hadidi, R., Gucunski, N., & Maher, A. (2007). Application of probabilistic approach to the solution of inverse problems in nondestructive testing and engineering geophysics. In Environmental and Engineering Geophysical Society - 20th, SAGEEP 2007: Geophysical Investigation and Problem Solving for the Next Generation (pp. 156-165). (Proceedings of the Symposium on the Application of Geophyics to Engineering and Environmental Problems, SAGEEP; Vol. 1).