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Title: NONLINEAR SOIL-STRUCTURE INTERACTION ANALYSIS USING CO-SIMULATION

Abstract

Nonlinear soil-structure interaction (NLSSI) analysis methods are currently being developed at Idaho National Laboratory. Appendix B in ASCE (2016) includes a framework for performing NLSSI analysis. For NLSSI analysis to be widely implemented in industry, it is important to demonstrate that accurate response in dynamically loaded, nonlinear models can be achieved in an efficient manner. Both explicit and implicit dynamic solvers are applicable to NLSSI. When considering cpu time, an explicit dynamic solver is often desirable for large models with no features (e.g. small elements, stiff elements, or stiffness damping) that can drive the time step unreasonably small. An implicit dynamic solver may be desirable in models not well suited for an explicit solver. A further option is co-simulation where a portion of the model is run with an explicit dynamic solver and the rest of the model is run with an implicit dynamic solver. This study explores NLSSI examples where co-simulation could be the most cpu efficient modelling strategy.

Authors:
 [1]; ORCiD logo [1]
  1. Idaho National Laboratory
Publication Date:
Research Org.:
Idaho National Lab. (INL), Idaho Falls, ID (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1556095
Report Number(s):
INL/CON-19-54204-Rev000
DOE Contract Number:  
AC07-05ID14517
Resource Type:
Conference
Resource Relation:
Conference: SMiRT-25, Charlotte, NC, USA, 08/04/2019 - 08/09/2019
Country of Publication:
United States
Language:
English
Subject:
99 - GENERAL AND MISCELLANEOUS; NLSSI; co-simulation; finite element; soil-structure interaction

Citation Formats

Spears, Robert E, and Coleman, Justin L. NONLINEAR SOIL-STRUCTURE INTERACTION ANALYSIS USING CO-SIMULATION. United States: N. p., 2019. Web.
Spears, Robert E, & Coleman, Justin L. NONLINEAR SOIL-STRUCTURE INTERACTION ANALYSIS USING CO-SIMULATION. United States.
Spears, Robert E, and Coleman, Justin L. Sun . "NONLINEAR SOIL-STRUCTURE INTERACTION ANALYSIS USING CO-SIMULATION". United States. https://www.osti.gov/servlets/purl/1556095.
@article{osti_1556095,
title = {NONLINEAR SOIL-STRUCTURE INTERACTION ANALYSIS USING CO-SIMULATION},
author = {Spears, Robert E and Coleman, Justin L},
abstractNote = {Nonlinear soil-structure interaction (NLSSI) analysis methods are currently being developed at Idaho National Laboratory. Appendix B in ASCE (2016) includes a framework for performing NLSSI analysis. For NLSSI analysis to be widely implemented in industry, it is important to demonstrate that accurate response in dynamically loaded, nonlinear models can be achieved in an efficient manner. Both explicit and implicit dynamic solvers are applicable to NLSSI. When considering cpu time, an explicit dynamic solver is often desirable for large models with no features (e.g. small elements, stiff elements, or stiffness damping) that can drive the time step unreasonably small. An implicit dynamic solver may be desirable in models not well suited for an explicit solver. A further option is co-simulation where a portion of the model is run with an explicit dynamic solver and the rest of the model is run with an implicit dynamic solver. This study explores NLSSI examples where co-simulation could be the most cpu efficient modelling strategy.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {8}
}

Conference:
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