Partitioning Displacement Demand of Flexible-base Structures because of SSI

Author(s):  
Anna Karatzetzou ◽  
Dimitris Pitilakis ◽  
Sotiria Stefanidou
2016 ◽  
Vol 32 (3) ◽  
pp. 1419-1448 ◽  
Author(s):  
Peter J. Stafford ◽  
Timothy J. Sullivan ◽  
Domenico Pennucci

Inelastic spectral displacement demand is arguably one of the most effective, simplified means of relating earthquake intensity to building damage. However, seismic hazard assessment is typically conducted using empirical ground-motion prediction equations (GMPEs) that only provide indications of elastic spectral response quantities, which an engineer subsequently relates to inelastic demands using empirical relationships such as the equal-displacement rule. An alternative approach is to utilize relationships for the inelastic spectral displacement demand directly within the seismic hazard assessment process. Such empirical relationships are developed in this work, as a function of magnitude, distance, building period, and yield strength coefficient, for four different hysteretic models that are representative of a wide range of possible structural typologies found in practice. The new relationships are likely to be particularly useful for performance-based seismic design and assessment.


2018 ◽  
Vol 5 (1) ◽  
pp. 1480189 ◽  
Author(s):  
Jayaprakash Vemuri ◽  
Syed Ehteshamuddin ◽  
Subramaniam V. L. Kolluru ◽  
Antonio Formisano

2003 ◽  
Vol 46 (3) ◽  
pp. 798-806 ◽  
Author(s):  
Lynnane E. GEORGE ◽  
Wayne J. BOOK

2021 ◽  
Vol 6 (4) ◽  
pp. 7413-7420
Author(s):  
Marc-Andre Begin ◽  
Ryan Poon ◽  
Ian Hunter
Keyword(s):  

Author(s):  
Walter Coelho Pereira de Magalhães Junior ◽  
Marcelo Bonnet ◽  
Leandro Diamantino Feijó ◽  
Marilde Terezinha Prado Santos

Here the Risk-Off Method is presented as a contribution to improve the quality of data and information using milk chemical safety as a model, as overseen by the National Plan for Control of Residues and Contaminants (PNCRC) of the Brazilian Ministry of Agriculture, Livestock and Supply (MAPA). In particular, Small and Medium Enterprises (SMEs), which notably lack internal expertise, could benefit from the Risk-Off method, given that SMEs worldwide contribute significant amounts of food to meet global needs. This study develops an innovative tool to help countries provide robust and transparent chemical safety guarantees for their food products. Creating a flexible base platform to appropriately pre-classify results generated by laboratory testing of food samples, the method pre-processes data undergoing the process of Knowledge Discovery in Databases – KDD, producing systemic intelligence deriving from effective, proactive assessment and management of chemical safety risks in foods, a complex issue of increasingly global concern.


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