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Record W7017540660

Biodeterioration of concrete sewer pipes: a practical analytical model

2015· dissertation· en· W7017540660 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2015
Typedissertation
Languageen
FieldChemical Engineering
TopicOdor and Emission Control Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsSanitary sewerSewageProcess (computing)DurabilityPollutionProduction (economics)Consumption (sociology)
DOInot available

Abstract

fetched live from OpenAlex

Durability of buried infrastructure is often "out-of-sight and out-of-mind". In Canada alone, according to a Federation of Canadian Municipality study from 2007, upgrading and building new water infrastructure to an acceptable level of service requires an expenditure of more than $40 billion. Unlike different types of degradation due to local soil contaminants, construction materials, or weather conditions, biodeterioration in sewage transportation and treatment systems is generally faced by all municipalities worldwide. Biodeterioration of concrete sewers occurs when microorganisms living in biofilm formation on unsubmerged sections of concrete excrete sulfuric acid, which is deleterious to the concrete because it contains acidity (H+ ions) and sulfates. This research program combines different areas of civil and environmental engineering by integrating important biological and chemical concepts. More specifically, the research program proposes two analytical models applicable to predicting reactions occurring during biodeterioration of concrete sewers. First, a new modeling approach for pH changes is proposed. In this new proposed pH approach, pH changes are calculated in each process definition by the stoichiometric coefficient (–∆H+/β), where ∆H+ is the production or consumption of protons and β is the buffering capacity. The method also includes the effects of the ionic strength. The method can predict pH changes due to the input or biological production of acids and bases, or equilibrium with gases and minerals. It is found to be simpler than the existing methods, while maintaining the same level of accuracy. The approach was then applied to reactions where pH changes kinetically. Two reactions occurring during the biodeterioration of concrete sewers were studied: the continuous production of sulfuric acid by sulfur-oxidizing biomass (decrease in pH), and dissolution of hydrated cement paste (increase in pH). In batch-reactors, the dissolution of hydrated cement paste was modeled by a surface reaction where calcium hydroxide dissolves preferentially. The decrease in pH due to the production of sulfuric acid from thiosulfate could be accurately modeled by a disproportionation reaction where the biomass stores part of the thiosulfate as sulfur granules and oxidizes the rest as sulfates and protons. The same reactions occurring in biofilm formation were also studied to represent the sewer conditions more closely. While the deleterious effects of sulfuric acid to hydrated cement paste and concrete are well known, the impact of the w/c ratio on the extent of degradation is not as clear. To help alleviate this situation, the dissolution kinetics of calcium from hydrated cement paste in acidic solution was parameterized. Sample characteristics (w/c ratio and carbonation) were tested but were not found to have a statistically significant impact on the dissolution parameters. However, acid type and concentration were found to significantly affect the same parameters. The parameterization was applied to predict the mass loss of concrete discs subjected to sulfuric acid and different brushing regimes. Brushing of the concrete surface creates shearing forces representing the effect of sewerage flow at the water line in sewers. These forces were found to cause a significant increase in deterioration. The part of mass loss due to diffusion was determined from the previous calcium solubilisation experiment on hydrated cement paste prism. Overall, this thesis offers a multi-disciplinary review of the biodeterioration of concrete sewers, proposes a new modeling approach to pH changes in process models, and develops some insights on the impact of acidic solutions on hydrated cement paste and concrete durability. Further research on this topic should focus on validating the buffering capacity approach to existing wastewater and biosolides treatment models, and modeling the interactions between concrete and biofilms.

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)0.000
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: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.031
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.038
GPT teacher head0.299
Teacher spread0.261 · 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
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
Published2015
Admission routes1
Has abstractyes

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