Grid query optimization in the analysis of cone penetration testing data

Patrick M. Dudas, Hassan A. Karimi, Abdelmounaam Rezgui

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Soil liquefaction takes place during and/or after the occurrence of an earthquake and is a major contributor to urban seismic risk. Geologists use a technique called the cone penetration test (CPT) to determine the properties of soils, including liquefaction levels, which yields large amounts of soil data. The analysis of such massive amounts of data requires high-performance computing resources. In this paper, we present GQO (Grid Query Optimizer), a distributed algorithm that enables the analysis of large CPT data sets efficiently on a grid cyberinfrastructure.

Original languageEnglish (US)
Title of host publicationSocietal Challenges and Geoinformatics
PublisherGeological Society of America
Pages59-67
Number of pages9
ISBN (Print)9780813724829
DOIs
StatePublished - Jan 1 2011

Publication series

NameSpecial Paper of the Geological Society of America
Volume482
ISSN (Print)0072-1077

All Science Journal Classification (ASJC) codes

  • Geology

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    Dudas, P. M., Karimi, H. A., & Rezgui, A. (2011). Grid query optimization in the analysis of cone penetration testing data. In Societal Challenges and Geoinformatics (pp. 59-67). (Special Paper of the Geological Society of America; Vol. 482). Geological Society of America. https://doi.org/10.1130/2011.2482(06)