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Transformation models and their applications in geotechnical design

Transformation models and their applications in geotechnical design. Jianye Ching (National Taiwan University)

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Transformation models and their applications in geotechnical design

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  1. Transformation models and their applications in geotechnical design Jianye Ching (National Taiwan University) Marcos Arroyo, Jieru Chen (contributor of SAND/7/2794), Celeste Jorge, Tim Länsivaara (contributor of F-CLAY/7/216), Dianqing Li, Paul Mayne, Kok-Kwang Phoon, Widjojo Prakoso, Marco Uzielli June 5 2017 @ Geo-Risk 2017

  2. Transformation models • Models that convert test results to design parameter • Mostly based on generic/global dataset • Kulhawy & Mayne (1990) • How do these models perform? • For a region • For a specific site

  3. OCR versus su/v dataset • CLAY/10/7490 dataset • 30 regions, 250+ studies • All su converted to su(mob) • Median estimate • 95% confidence interval • Transformation uncertainty Ching, J. and Phoon, K.K. (2014). Transformations and correlations among some clay parameters – the global database, Canadian Geotechnical Journal, 51(6), 663-685.

  4. OCR versus su/v model • How does it perform for a region? • Scandinavia dataset • Courtesy of Tim Länsivaara • 22 sites, 168 data points • All su converted to su(mob) • Median estimate • Systematically biased • 95% confidence interval • Not genuine 95%

  5. OCR versus su/v model • What does it perform for specific site(s)? • Individual site can have its own local trend • Median estimate • Systematically biased • 95% confidence interval • Typically too wide • Ensemble global sites • Median estimate • Unbiased • 95% confidence interval • Genuine 95%

  6. Global transformation models Biased for a region or a specific site Wide confidence interval (conservative) Unbiased for ensemble global sites Genuine 95% confidence interval

  7. Future needs • Intermediate transformation models • Site-specific models are good, but not enough data • Large statistical uncertainty • Global models can be biased and with wide CI • Large transformation uncertainty • Is there something in between that works well? • Fusion between limited site-specific data and global data? • Accumulate soil & rock databases • Make them available to the public • Web software & Apps • Sinotech cooperation

  8. Thank you (Some useful global transformation models are at the end of Chapter 1)

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