TY - GEN
T1 - Statistical uncertainty on assessment of spatial liquefaction resistance
AU - Namikawa, T.
N1 - Funding Information:
The author acknowledges the support of the Japan Society for the Promotion of Science (JSPS KAKENHI Grant No. 18K04351).
PY - 2019
Y1 - 2019
N2 - This paper presents a probabilistic assessment framework of spatial liquefaction resistance with considering the statistical uncertainty. The method based on N value obtained from SPT is adopted to evaluate the liquefaction resistance. A Bayesian approach is used to evaluate the statistical uncertainty occurring in determining the statistical parameters of the modified N (Na) value from observation data. The posterior probability distribution of the statistical parameters of Na is evaluated using the Bayesian approach to inference. A Markov chain Monte Carlo (MCMC) method is adopted to draw the values of the parameters from the target posterior distributions in this study. To illustrate the performance of the proposed approach, an example analysis is conducted based on the statistical parameters of Na inferred with the site investigation data. The influence of the statistical uncertainty on assessing the spatial liquefaction resistance is discussed.
AB - This paper presents a probabilistic assessment framework of spatial liquefaction resistance with considering the statistical uncertainty. The method based on N value obtained from SPT is adopted to evaluate the liquefaction resistance. A Bayesian approach is used to evaluate the statistical uncertainty occurring in determining the statistical parameters of the modified N (Na) value from observation data. The posterior probability distribution of the statistical parameters of Na is evaluated using the Bayesian approach to inference. A Markov chain Monte Carlo (MCMC) method is adopted to draw the values of the parameters from the target posterior distributions in this study. To illustrate the performance of the proposed approach, an example analysis is conducted based on the statistical parameters of Na inferred with the site investigation data. The influence of the statistical uncertainty on assessing the spatial liquefaction resistance is discussed.
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M3 - Conference contribution
AN - SCOPUS:85081174645
SN - 9780367143282
T3 - Earthquake Geotechnical Engineering for Protection and Development of Environment and Constructions- Proceedings of the 7th International Conference on Earthquake Geotechnical Engineering, 2019
SP - 4095
EP - 4102
BT - Earthquake Geotechnical Engineering for Protection and Development of Environment and Constructions- Proceedings of the 7th International Conference on Earthquake Geotechnical Engineering, 2019
A2 - Silvestri, Francesco
A2 - Moraci, Nicola
PB - CRC Press/Balkema
T2 - 7th International Conference on Earthquake Geotechnical Engineering, ICEGE 2019
Y2 - 17 January 2019 through 20 January 2019
ER -