Effects of spatial variation of soil properties on seismic performance of port structures

• Published in: Soil dynamics and earthquake engineering (1984) Vol. 29; no. 3; pp. 537 - 545
• Main Authors: Na, Ung Jin, Ray Chaudhuri, Samit, Shinozuka, Masanobu
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.03.2009; Elsevier
• Subjects: Caisson-type quay wall; Earth sciences; Earth, ocean, space; Earthquakes, seismology; Engineering and environment geology. Geothermics; Engineering geology; Exact sciences and technology; Internal geophysics; Marine; Natural hazards: prediction, damages, etc; Non-Gaussian random field; Nonlinear dynamic analysis; Seismic performance; Spatial variation; Far East; Asia; Honshu; Japan; Japan, Honshu, Hyogo Prefect., Kobe; INW, Japan, Honshu, Hyogo Prefect., Kobe; Spatial variation; Nonlinear dynamic analysis; Non-Gaussian random field; Seismic performance; Caisson-type quay wall; algorithms; damage; software; Monte Carlo analysis; liquefaction; digital simulation; earthquakes; pipelines; two-dimensional models; spatial variations; earthquake engineering; soils; performances; finite difference analysis; bridges; seismic response; natural disaster damages; numerical models; buildings; dispersion
• ISSN: 0267-7261; 1879-341X
• DOI: 10.1016/j.soildyn.2008.06.002

From past seismic events such as the 1995 Kobe (Hyogoken-Nanbu) and 2001 Nisqually earthquakes, it was found that liquefaction-induced lateral spread has caused significant damage to structures such as buildings and bridges, in addition to underground utility facilities like pipelines. In this respect, seaport facilities are particularly vulnerable to these liquefaction-related damages, because they are usually constructed on poorly consolidated natural deposit or fills. This study investigates the effect of the liquefaction and lateral spread on the seismic response of caisson type quay walls. For this purpose, 2D nonlinear dynamic analyses of soil–structure system are carried out with the aid of finite difference software, FLAC. The unique feature of this study lies in the fact that the 2D soil system is idealized as homogeneous non-Gaussian random field. A simulation algorithm is then used to generate a set of digital realizations of 2D random field sample. Each realization is used for the dynamic analysis to generate a unique response of the soil–structure system. Repeating this analysis for the entire set of realizations, the probabilistic nature of the response is characterized in the Monte Carlo sense. This result based on random field is compared with the response obtained under the uniform field assumption with the mean value of soil property. The comparison shows that in general the uniform model provides unconservative result compared with the response from the random field model due to nonlinear behavior of the soil–structure system. It is also found that the consideration of spatial variation of soil can capture the dispersion of observed response of quay walls.