Vertical spatial correlation length based on standard penetration tests

Oguz E. A., Huvaj N., Griffiths D. V.

MARINE GEORESOURCES & GEOTECHNOLOGY, cilt.37, ss.45-56, 2019 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 37
  • Basım Tarihi: 2019
  • Doi Numarası: 10.1080/1064119x.2018.1443180
  • Dergi Adı: MARINE GEORESOURCES & GEOTECHNOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.45-56
  • Anahtar Kelimeler: Nearshore soils, scale of fluctuation, spatial correlation length, standard penetration test, variability, Autoreg, second order autoregressive, CL, low plasticity clay, CH, high plasticity clay, CosExp, cosine exponential, COV, coefficient of variation, CPT, cone penetration test, CPTU, piezocone penetration test, c(u), undrained shear strength, CU, consolidated undrained, DPL, dynamic probing, D-r, relative density, Exp, exponential, ML, low plasticity silt, MH, high plasticity silt, Pa, atmospheric pressure, SC, clayey sand, SCL, spatial correlation length, SM, silty sand, SP, poorly graded sand, SPT, standard penetration test, SPT-N, standard penetration test N value, SqrExp, squared exponential, Std, standard deviation, SW, well graded sand, RFEM, random finite element method, UC, unconfined compression, USCS, unified soil classification system, UU, unconsolidated undrained, BEARING CAPACITY, SOIL PROPERTIES, VARIABILITY, CLAY
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

The spatial correlation length (SCL), or the scale of fluctuation, is a parameter for describing the spatial variability of soil and one of the important parameters used in random field theory. Studies reporting the spatial correlation length based on real field data of offshore/nearshore sea bottom soils are rather limited in the literature, so in this study, the vertical spatial correlation length is determined using site investigation data from two sites of the southern coast of Turkey. Based on quite extensive data, the vertical spatial correlation length is estimated using four different autocovariance functions. The values are within typical ranges reported in the literature for similar soil groups, both onshore and offshore. It is also noted that the widely-used exponential function almost always gives the lowest value of spatial correlation length. The results of this study add to the database of spatial correlation lengths based on real data and could be useful for future studies on reliability assessment of offshore foundations using random finite element method.