On the Use of Cloud Analysis for Structural Glass Members under Seismic Events

Silvana Mattei, Marco Fasan and Chiara Bedon
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Silvana Mattei: Department of Engineering and Architecture, University of Trieste, 34127 Trieste, Italy
Marco Fasan: Department of Engineering and Architecture, University of Trieste, 34127 Trieste, Italy
Chiara Bedon: Department of Engineering and Architecture, University of Trieste, 34127 Trieste, Italy

Sustainability, 2021, vol. 13, issue 16, 1-25

Abstract: Current standards for seismic-resistant buildings provide recommendations for various structural systems, but no specific provisions are given for structural glass. As such, the seismic design of joints and members could result in improper sizing and non-efficient solutions, or even non-efficient calculation procedures. An open issue is represented by the lack of reliable and generalized performance limit indicators (or “engineering demand parameters”, EDPs) for glass structures, which represent the basic input for seismic analyses or q -factor estimates. In this paper, special care is given to the q -factor assessment for glass frames under in-plane seismic loads. Major advantage is taken from efficient finite element (FE) numerical simulations to support the local/global analysis of mechanical behaviors. From extensive non-linear dynamic parametric calculations, numerical outcomes are discussed based on three different approaches that are deeply consolidated for ordinary structural systems. Among others, the cloud analysis is characterized by high computational efficiency, but requires the definition of specific EDPs, as well as the choice of reliable input seismic signals. In this regard, a comparative parametric study is carried out with the support of the incremental dynamic analysis (IDA) approach for the herein called “dynamic” (M1) and “mixed” (M2) procedures, towards the linear regression of cloud analysis data (M3). Potential and limits of selected calculation methods are hence discussed, with a focus on sample size, computational cost, estimated mechanical phenomena, and predicted q -factor estimates for a case study glass frame.

Keywords: seismic design; structural glass; q -factor; engineering demand parameters (EDPs); finite element (FE) numerical models; non-linear incremental dynamic analyses (IDA); cloud analysis; linear regression (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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