A probabilistic model to liquefaction assessment of dams
In an effort to evaluate earthquake liquefaction potential of soil media, several statistical models ranging from purely empirical to mathematically sophisticated have been devised. While deterministic methods define susceptibility of a soil structure to liquefaction, for a given seismic event, in the sense that the site does or does not liquefy, probabilistic approaches incorporate statistical properties associated with both the earthquake and site characterization. In this study a stochastic model is formulated to assess liquefaction potential of soil structures in general and earth dams in particular induced by earthquakes. Such earthquakes are realizations of a random process expressed in the form of a power spectral density. Uncertainties in the soil resistance to liquefaction are also introduced with probability density functions around in-situ measurements of parameters associated with the soil strength. The attempt of this study is to devise a procedure that will lead to a continuous probability of liquefaction at a given site. Monte Carlo simulations are employed for the probabilistic model. In addition a stochastic model is presented. The dynamic response of the two-phase medium is obtained with the help of the POROSLAM code and it is expressed in the form of a transfer function (Unit Response).
- Research Organization:
- Brookhaven National Lab. (BNL), Upton, NY (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- AC02-76CH00016
- OSTI ID:
- 71578
- Report Number(s):
- BNL-61504; CONF-950740-44; ON: DE95008867
- Resource Relation:
- Conference: Joint American Society of Mechanical Engineers (ASME)/Japan Society of Mechanical Engineers (JSME) pressure vessels and piping conference, Honolulu, HI (United States), 23-27 Jul 1995; Other Information: PBD: [1995]
- Country of Publication:
- United States
- Language:
- English
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