MétaCan
Menu
Back to cohort
Record W3161004301 · doi:10.22215/etd/2019-13817

Finite Element Modelling of Anchorage to Concrete Systems at Different Strain Rates

2019· dissertation· en· W3161004301 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicStructural Response to Dynamic Loads
Canadian institutionsCarleton University
Fundersnot available
KeywordsStructural engineeringFinite element methodFlexibility (engineering)Dynamic loadingEngineeringUltimate tensile strengthStrain rateShear (geology)Shear wallMaterials scienceComposite material

Abstract

fetched live from OpenAlex

Demand for flexibility in design and faster construction times has resulted in the increasing use of fasteners in a variety of concrete structures. These structures are exposed to static and dynamic loading conditions. Furthermore, these structures can be exposed to high strain rate loading such as encountered in impact and blast loads. Thus, anchorage systems used to fasten elements to concrete structures are also exposed to the high strain rates of loading which can be tensile and shear loads. If not adequately designed and constructed, anchorages can fail in a catastrophic manner and pose significant threat to building safety and the life of building occupants.Behaviour of anchors embedded into concrete and subjected to static load has been widely investigated experimentally. However, despite the fact that many structures that contain anchorage systems are exposed to dynamic loads, the research in this vital area is limited. Currently, no guidance is available in design codes for the anchorage response under high strain rate loading. The American Concrete Institute and Concrete Capacity Design methods are recommended for anchorage system subjected to static and low cycle dynamic loading only. Hence, there is a need to develop a design method to predict the anchorage response and capacity under impact and blast loading.The project presented in this thesis aims to investigate the tensile and shear behaviour of cast-in-place, adhesive and undercut anchors subjected to different strain rates using LS-DYNA software. Numerical models of the anchorage systems with different design parameters were developed and mesh sensitivity analyses were carried out to determine mesh sizes that best simulated the experimental results obtained from the literature. The ultimate static capacity results were verified with the design methods. Effect of strain rate, embedment depth, and anchor diameter on the tensile and shear failure loads was investigated. Failure modes for the anchorage systems were also examined at different strain rates. Concrete cone breakout diameter and failure cone angles were investigated. A relation between the ultimate loads and the strain rates was investigated and dynamic increase factors (DIF) for design were determined. Regression analysis was performed to predict a relation that accurately represents the finite element results.Results of the tensile and shear loading of the anchorage to concrete systems show that anchorage to concrete system capacity increases with an increase in the strain rates. The failure mode of the anchorage systems is influenced by the strain rate. Maximum DIFs of 1.74, 1.13and 1.58were obtained for the cast-in-place, adhesive and undercut anchors under tensile load respectivelywhere concrete cone breakout failure mode was observed. Maximum DIFs of 1.17, 1.13 and 1.44 respectively were obtained for the cast-in-place, adhesive and undercut anchors exhibited steel failure mode. The maximum DIFs were 1.15, 1.18 and 1.45respectively for the anchors subjected to shear loadwhere steel failure was observed.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.016
GPT teacher head0.241
Teacher spread0.226 · 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

Quick stats

Citations4
Published2019
Admission routes1
Has abstractyes

Explore more

Same topicStructural Response to Dynamic LoadsFrench-language works237,207