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Record W3088133278 · doi:10.18154/rwth-2020-03335

Analyse und Bemessung von Betonbalken mit vorgespannter CFK-Bewehrung

2019· article· en· W3088133278 on OpenAlexaboutno aff
Sophia Kueres

Bibliographic record

VenueRWTH Publications (RWTH Aachen) · 2019
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsnot available
Fundersnot available
KeywordsReinforcementStructural engineeringReinforced concreteEngineeringMaterials scienceComputer scienceForensic engineering

Abstract

fetched live from OpenAlex

Fiber reinforced polymer (FRP) reinforcements combine high strength with low weight and have a high corrosion resistance. Due to these beneficial characteristics, the use of FRP reinforcement in concrete structures has been established and investigated over the last 30 years as a suitable solution for sustainable and long-lasting concrete constructions. In particular, carbon fiber reinforced polymer (CFRP) tendons have a high potential to be applied as prestressing reinforcement due to their higher stiffness and tensile strength as well as better durability compared to reinforcements using glass or aramid fibers. CFRP tendons have been successfully used in many bridge projects in the United States and Canada. Nevertheless, the application of CFRP prestressing tendons in bridge design is not common. The main reasons for the limited implementation of this technology are the lack of standardized material properties as well as consistent and approved design guidelines. To enable a widespread and feasible application of CFRP tendons, comprehensive design methods, comparable to those for steel prestressed concrete structures, are necessary. Furthermore, the design guidelines have to comply with reliability requirements to guarantee the safety of the structures. In the present thesis, the behavior of prestressed concrete beams with CFRP tendons at the ultimate limit state is analyzed in detail. Based on the results, suitable design methods are developed. The transfer of the prestressing force and the tendon anchorage are important design aspects for the construction of pre-tensioned concrete structures. Based on experimental investigations and results from literature, detailing provisions are defined to avoid splitting cracks in the transfer zone and to secure an undisturbed transfer of the prestressing force. Moreover, a theoretical model is derived to determine both the transfer and development length of CFRP tendons depending on their bond characteristics. Using probabilistic calibration, a design model meeting the reliability requirements of Eurocode 0 is proposed. Besides the bond behavior, the flexural strength is a main aspect of the design of beams prestressed with CFRP tendons. Based on the concept of a balanced reinforcement ratio, a flexural resistance model is derived in compliance with Eurocode 2. To develop an appropriate design model, a reliability analysis is performed using stochastic simulations to determine the governing safety factor for the CFRP tendons. For this purpose, two footbridge concepts with prestressed CFRP reinforcement are investigated. To avoid brittle shear failures, the shear strength of reinforced concrete beams has to be verified at ultimate limit state. To extend the database of shear tests on prestressed beams with FRP reinforcement, beams with textile shear reinforcement and prestressed CFRP tendons are tested. Furthermore, theoretical investigations are conducted to derive a shear design model for prestressed and non-prestressed beams with FRP shear reinforcement. For this purpose, a truss model with variable strut inclination is developed. The angle of the compression strut is derived based on a compression field model originally developed for steel reinforced beams.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.011
GPT teacher head0.249
Teacher spread0.237 · 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

Citations4
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueRWTH Publications (RWTH Aachen)Same topicStructural Behavior of Reinforced ConcreteFrench-language works237,207