Simulating Responses of Objects to Seismic Input Motion using Multibody Dynamics

Author(s):  
C.S. Belsham
Author(s):  
Sang Hoon Lee ◽  
Kwang Hoon Yoo

Liquefaction potential on the specific site of nuclear power plant is analyzed and reviewed. The layered site for this study consists of silt and sand. Based on the limited available soil data, maximum shear strength at critical locations using Seed & Idriss method and computer program SHAKE is calculated, and liquefaction potential is reviewed. As seismic input motion used for the assessment of liquefaction, the artificial time history compatible with the US NRC Regulatory Guide 1.60 is used. Assessment results of the liquefaction are validated by analyzing to the other typical soil foundations which can show the effects on the foundation depth and soil data.


Author(s):  
Anthony L. Crawford ◽  
Robert E. Spears ◽  
Mark J. Russell

Seismic analysis is of great importance in the evaluation of nuclear systems due to the heavy influence such loading has on their designs. Current Department of Energy seismic analysis techniques for a nuclear safety-related piping system typically involve application of a single conservative seismic input applied to the entire system [1]. A significant portion of this conservatism comes from the need to address the overlapping uncertainties in the seismic input and in the building response that transmits that input motion to the piping system. The approach presented in this paper addresses these two sources of uncertainty through the application of a suite of 32 earthquake realizations with equal probability of occurrence whose collective performance addresses the total uncertainty while each individual motion represents a single variation of it. It represents an extension of the soil-structure interaction analysis methodology of SEI/ASCE 43-05 [2] from the structure to individual piping components. Because this approach is computationally intensive, automation and other measures have been developed to make such an analysis efficient. These measures are detailed in this paper.


2010 ◽  
Vol 100 (3) ◽  
pp. 1375-1380 ◽  
Author(s):  
D. Bindi ◽  
S. Parolai ◽  
M. Picozzi ◽  
A. Ansal
Keyword(s):  

2018 ◽  
Vol 144 (8) ◽  
pp. 04018070 ◽  
Author(s):  
C. Jeong ◽  
E. Esmaeilzadeh Seylabi
Keyword(s):  

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