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Record W6987210043

Seismic Performance of Steel Shear Walls with Rectangular Openings

2020· dissertation· en· W6987210043 on OpenAlexaboutno aff

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2020
Typedissertation
Languageen
FieldEngineering
TopicSeismic Performance and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSteel plate shear wallShear wallInfillShear (geology)DissipationStructural loadComposite numberBuckling
DOInot available

Abstract

fetched live from OpenAlex

Unstiffened Steel Plate Shear Wall (SPSW) has widely been accepted as an effective lateral load resisting system for resisting wind and earthquake loads. This system has significant post-buckling strength, high ductility, stable hysteretic behaviors and robust initial stiffness. Composite Plate Shear Wall (C-PSW) is also a new form of steel shear wall which has a steel plate and a layer of reinforced concrete (RC) at one or both sides of the steel plate. The steel plate and the concrete layer are connected with shear studs to have a complete composite behavior. C-PSW has some advantages over SPSW such as protection against fire and blast loading. In addition, the presence of the concrete panel can prevent buckling of the steel plate and thereby increase the stiffness, shear strength, and energy dissipation capacity of the C-PSW system in comparison to conventional SPSW system. \nOften, SPSWs and C-PSWs need to accommodate large door or window size openings in the infill plates, such as when SPSWs/C-PSWs are used in the building central cores around the elevators. Current AISC design standard recommends use of horizontal and vertical local boundary elements (LBE), in the form of stiffeners, around these large rectangular openings to anchor the tension field developed in the infill plate. Research on SPSW with stiffened large openings like door and window sized openings is limited. Also research on C-PSWs with large openings is still in the initial stage and a significant amount of research is needed before it can be adopted by the Canadian steel design code. This study presents seismic performance of SPSWs and C-PSWs with door size openings in the web plate. Nonlinear FE models were developed in ABAQUS for SPSW and C-PSW with door size openings. The FE models include both material and geometric nonlinearities. The proposed FE model was validated against available experimental data. The study describes details of the validation of the finite element model. Two multi-storey (3- and 5-storey) SPSWs and C-PSWs were designed following the capacity design concept and the guidelines of current AISC seismic design standard. The performance of selected SPSWs and C-PSWs were investigated through conducting a series of time history analysis using a suite of 8 ground motions that are developed for western Canada and are compatible with Vancouver design response spectrum. Nonlinear seismic analysis shows that both SPSWs and C-PSWs with rectangular openings exhibit excellent seismic performance with high ductility and strength when subjected to strong ground motions. Maximum contribution of various structural components (i.e., infill plate and boundary members) in resisting applied lateral loads are calculated from seismic analysis and presented in the study. The maximum interstorey drift is found to be within the code limit for both systems under all ground motions. It is observed that the designed stiffeners around the openings are very effective in limiting the in-plane and out-of-plane deformations around the rectangular openings, especially in the SPSW system and the presence of these stiffeners do not alter the recommended yielding sequence of the system. In addition, it is observed that current AISC requirement to attach horizontal and vertical LBE around rectangular opening of C-PSW is conservative and can be relaxed if the infill plate is connected with the concrete panel with adequate shear connectors.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.228
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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