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ON THE DISTRIBUTION OF LATERAL LOADS FOR PUSHOVER ANALYSIS

Authors: COLAJANNI, Piero; POTENZONE B.;

ON THE DISTRIBUTION OF LATERAL LOADS FOR PUSHOVER ANALYSIS

Abstract

Two new simplified adaptive load patterns for pushover analyses are proposed, able to provide an accurate and on safe side assessment of the actual non linear dynamic response, by enveloping the results provided by using the two load vectors. Initially it will be shown how the input modelling can affect the assessment of the response parameters in Non-Liner Response History Analysis (NRHA), which will be assumed as benchmark to judge the effectiveness of the proposed load patterns. Then, the two new load patterns are presented and their effectiveness in reproducing the results provided by NRHA are compared with those of invariant and adaptive load patterns suggested by seismic codes and proposed in literature, for two structures of different typologies. To this aim, criteria for choosing target displacement in POA are shortly discussed.

Country
Italy
Related Organizations
Keywords

pushover curve; load patterns; non liner static analysis; input modelling; seismic codes.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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