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Record W4206103979 · doi:10.33915/etd.10199

Investigation of Foundation Failures

2021· dissertation· en· W4206103979 on OpenAlexaboutno aff
Ali Jasem Buabbas

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicGeotechnical Engineering and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsFoundation (evidence)EngineeringAction (physics)DurabilityConstruction engineeringStructural engineeringForensic engineeringComputer sciencePolitical sciencePhysicsLaw

Abstract

fetched live from OpenAlex

Investigation of Foundation Failures Ali Buabbas Foundations form a very critical component of any structure. The integrity and lifespan of the structure are dependent on the strength and durability of the foundation. Under ideal conditions, immediately after the structure is constructed, the foundation meets all the requirements of the structure. However, after a while, due to the action of many other factors, the structure’s foundation may no longer satisfy the needs of the structure. Some of the factors contributing to the failure of the foundation can be due to natural events. Construction engineers should anticipate these factors to minimize their effects. Deep and shallow foundations exhibit different characteristics, making them experience slightly varying mechanisms of foundation failures. The characteristics of soil into which a foundation is constructed dictate the durability of the foundation. Soil which shows a higher bearing capacity, tends to offer a robust support to the foundation and makes it last longer. However, soil with undesirable characteristics such as low bearing capacity and a high-water level constantly jeopardizes a foundation's integrity, triggering its failure. In this study, several foundation failures were studied, failures were identified, and remediation measures were reviewed wherever applicable. The case study of the Lake View Tower in Sudbury, Canada highlights how the poor soil bearing capacity contributed to the eventual demolition of the building. Natural calamities such as earthquakes and tornadoes also lead to foundation failure. Frost action on the Family Life Center (FLC) in North Dakota, United States affected the integrity of its foundation leading to cracks in the wall. Remediation of the foundation is one of the ways to mitigate the effects of vulnerable foundations. The success of any type of remediation is dependent on its ability to restore the needs of the structure whose foundation has weakened. Use of push piles in the FLC building shows how the remediation was beneficial in this case of shallow foundation.

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 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 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 score0.315
Threshold uncertainty score0.464

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 head0.007
GPT teacher head0.199
Teacher spread0.192 · 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 teacher head, 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
Published2021
Admission routes1
Has abstractyes

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