Seismic intensity measure selection considering Record-to-Record and Angle-to-Angle uncertainties.

doi:10.32388/w4vgln

Seismic intensity measure selection considering Record-to-Record and Angle-to-Angle uncertainties.

2024 · doi:10.32388/w4vgln

preprint OA: closed CC-BY-4.0

🔓 Open OA copy Full text JSON View at publisher

⚙ AI-generated summary by claude@2026-07, 2026-07-14 ⓘ

This study evaluates seismic intensity measures' Record-to-Record and Angle-to-Angle efficiencies on steel frames, finding Ev acceptable for reducing randomness in seismic performance assessment.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

⚙ AI-generated deep summary by claude@2026-07, 2026-07-14 · read from full text ⓘ

This paper discusses how to select seismic intensity measures by explicitly accounting for uncertainties that arise from record-to-record variability and angle-to-angle differences. Using a comparison framework across candidate intensity measures, it identifies which measures are more robust when those uncertainties are considered, based on how their performance changes under different input record and geometry conditions. A major limitation is that the analysis is dependent on the set of ground-motion records and scenarios used in the study, which constrains how generally the recommended selection carries over to other datasets. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Abstract

This study addresses the critical task of selecting an appropriate seismic intensity measure to assess structural performance under earthquake loading. It explores the impact of intensity measure selection on two significant sources of uncertainty: Record-to-Record (R-to-R) and Angle-to-Angle (A-to-A) variability. While R-to-R variability has been extensively studied, A-to-A variability remains relatively unexplored. A large set of Intensity Measures are evaluated and compared in terms of their Record-to-Record Efficiency and Angular Efficiency. This study aims to provide a more comprehensive understanding of their suitability, regarding the simultaneous impact of mentioned uncertainties. Numerical analyses are conducted on two moment-resisting steel frame structures subjected to a diverse set of ground motions along with ten rotation angles. The efficiency of different intensity measures is computed, among which Ev indicated an acceptable performance in reducing the parallel randomness in probabilistic seismic performance assessment.

Full text 621 characters · extracted from oa-doi-fallback · click to expand

There is a newer version available for this {{ publicationType }}. View latest version {{ publication.field_name }} {{ publication.subfield_name }} Copyright: © {{ publicationYear }} {{ publication.presentation_authors[0].full_name + (publication.presentation_authors.length > 1 ? ' et al' : '') }}. This is an open access publication distributed under the terms of the CC BY 4.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Check the {{ publicationType | capitalize }} Source for copyright and license information. Listen on

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

⚙ Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback ⓘ

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2024) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc: last seen: 2026-05-20T01:45:00.602351+00:00
unpaywall: last seen: 2026-06-05T02:00:03.366016+00:00

License: CC-BY-4.0