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Structural behaviour and failure modes of reinforced modular double truss bridge from full scale tests and 3D nonlinear numerical models

2025· article· en· W4407270383 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

VenueEngineering Structures · 2025
Typearticle
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsWestern University
Fundersnot available
KeywordsStructural engineeringTrussNonlinear systemModular designFull scaleBridge (graph theory)Truss bridgeEngineeringScale (ratio)Scale modelComputer sciencePhysics

Abstract

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This paper presents an investigation into the structural behavior and failure modes of a reinforced full-scale double truss modular bridge subjected to full load moving truck and concentrated loads to failure. The field-testing program comprised operational loads of a specified truck positioned at ten different locations along the bridge span, followed concentrated loading to failure employing hydraulic jack to assess the bridge ultimate capacity and failure modes. Midspan deflections and axial strains of critical members were recorded and analyzed to deduce the bridge response characteristics under both service and ultimate load conditions. The measured responses were also used to validate the accuracy of three-dimensional finite element models and establish proper modeling techniques for the modular bridge. The finite element model is then used to conduct eigenvalue analyses of the bridge to evaluate its buckling behavior, and to perform both linear and nonlinear analyses to assess the bridge's response under service loads and its ultimate capacity under extreme loading. The numerical results closely aligned with the experimental results, validating the accuracy of the validated finite element model is employed to further explored the impact of reinforcing different parts of the bridge on its overall response and ultimate capacity. It is revealed that reinforcing 3/5 of the bridge's span significantly enhances both its stiffness and load capacity. Additionally, the calculated axial capacity of the top chord members is compared with the nominal axial compression capacity stipulated by the AASHTO standards. • Full-scale testing of a reinforced modular double truss bridge under operational and ultimate loads. • Linear buckling analysis and nonlinear evaluation of the bridge’s response under extreme loads. • Validation of the finite element model through comparison with experimental field data. • Parametric study to assess the effect of reinforcing six portions of the bridge on load capacity, deflection, and stiffness. • Comparison of axial capacities of reinforced top chord bridge members with AASHTO and CSA S6:19 nominal axial compression capacities.

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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 score0.132
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.006
GPT teacher head0.214
Teacher spread0.207 · 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