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Record W6991219857

Framework for the Design of Seismically Isolated Part 9 Structures

2023· dissertation· en· W6991219857 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2023
Typedissertation
Languageen
FieldEngineering
TopicSeismic Performance and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsBase isolationGround motionResilience (materials science)IsolatorSeismic analysisLivelihoodEarthquake engineeringPopulationFrame (networking)
DOInot available

Abstract

fetched live from OpenAlex

Despite the recent advances in structural engineering made over the last century, earthquakes continue to pose a major risk to the lives and livelihoods of many communities. British Columbia is well known as a region at risk from seismic hazards, however, significant seismic risk extends to Canadians across the country as 70% of Quebec’s population lives in active seismic regions. Most single-family residential structures in Canada are built using Part 9, Housing and Small Buildings, of the National Building Code of Canada (NBCC). Part 9 provides conservative simplified design and analysis methods that facilitate design without engineering involvement. It is generally believed that Part 9 single family wood frame residential structures are resistant to seismic effects, however, the aftermath of several earthquakes have demonstrated that, while life safety resilience is fairly good, the economic losses are unacceptably high. To protect against this danger to life and livelihood the NBCC provides several ways to design structures for seismic events. One of the most promising of these is an emerging technology known as base isolation. Base isolators are specially designed structural components that effectively act as a suspension system, isolating the structure from the ground motion effects. While this technology has proven effective at protecting structures and their occupants, the current design methodology often requires custom base isolator designs and comprehensive engineering. This creates a significant cost barrier that disincentivizes application of base isolation to common Part 9 designed single family residential structures that normally avoid engineering involvement.To eliminate this cost barrier to widespread adoption of base isolation, a program was developed to perform the engineering seismic design for a base isolated single family residential structure. Currently the NBCC does not provide a design methodology for base isolated structures, and so the program utilizes the ASCE design method adapted for NBCC requirements. The program performs the design of the base isolated structure using a catalogue of pre-certified isolators, and structural characteristics and seismic data available to non-engineer Part 9 designers. This makes the program usable by non-technical experts who will be aided through a series of recommendations and provisions. The program produces key design data and performance metrics such as base shear, maximum deflection, distribution of loads, and the number of isolators required and their placement. The program was validated by time history analysis of common single family residential structure designs. Elastomeric isolators were proposed for the case study structures, and discussions and recommendations for the design of elastomeric bearings for Part 9 structures are proposed. It was determined that the developed program provides a suitable representation of the design characteristics and seismic response of single-family residential structures.This research serves to address and remove many of the barriers which have prevented widespread adoption of base isolation in residential structures. Through the development of this design methodology base isolation will move towards becoming available for widespread use in Part 9 single family residential structures in vulnerable regions.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.014
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0030.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0140.004

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 head0.026
GPT teacher head0.239
Teacher spread0.213 · 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 designTheoretical or conceptual
Domainnot available
GenreMethods

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
Published2023
Admission routes1
Has abstractyes

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