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This paper presents a technique termed 'pushdown analysis' that can be used to investigate the robustness of building systems by computing residual capacity and establishing collapse modes of a damaged structure.
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To reduce the chances of such collapses, the U.S. General Services Administration GSAA) established a set of procedures and criteria to evaluate the robustness of buildings using traditional deterministic methods.
The probability of occurrences of these uncertainties are usually unknown and hence, scenarios are essential to assess the performance robustness of buildings.
Progressive collapse analysis is used to evaluate robustness of buildings against unexpected extreme events and is a highly nonlinear dynamic problem.
The present paper gives a global overview on recent developments performed at the University of Liege on structural robustness of buildings for the specific scenario "loss of a column".
This paper presents an ambitious review that describes all the main advances that have taken place since the beginning of the 21st century in the field of progressive collapse and robustness of buildings.
Following the verification study, the analytical predictions of the double-span beam systems with varying parameters were further presented and discussed, and an illustrative design example was finally given to clearly demonstrate the practical use of the analytical model for robustness assessment of building frames.
The traditional steps of building gene trees (constructing multiple alignments, the choice and configuration of inference methods, robustness verification, etc).
While several recent studies have examined the robustness of steel building frames with fully moment-resistant connections and their ability to sustain local damage to load-bearing elements, only limited research is available regarding the robustness of steel frames with partially restrained (PR) connections.
First, trees produced by PhyloBayes and by RAxML are highly consistent, indicating robustness of tree building.
Analogously, the robustness of an (office) building or an HVAC system can be defined as the measure by which the building or the system lives up to its design purpose in a real life situation.
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