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Record W4390235362 · doi:10.18280/ijdne.180603

In-Situ Stabilization Analyses of Peaty Clay Soil Layers using Solid Waste from of Biomass Power Plant

2023· article· en· W4390235362 on OpenAlexvenueno aff
Andikanoza Pradiptia, Putera Agung Maha Agung, Sony Pramusandi, Muhammad Fathur Rouf Hasan, Suripto Suripto, Adnan Zainorabidin, Mustaffa Anjang Ahmad

Bibliographic record

VenueInternational Journal of Design & Nature and Ecodynamics · 2023
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Stabilization
Canadian institutionsnot available
Fundersnot available
KeywordsBiomass (ecology)Environmental scienceMunicipal solid wasteIn situWaste managementSoil scienceGeotechnical engineeringEnvironmental engineeringEngineeringAgronomyChemistryBiology

Abstract

fetched live from OpenAlex

The dominant soil layers in Mempawah District, West Borneo, consist predominantly of peaty clay, a material unsuitable for construction due to its high compressibility, low strength and volume instability.This study explores the use of solid waste derived from the combustion process at Biomass Power Plants as a stabilizing agent for these problematic soil layers, particularly those found along the Kapuas River shoreline.Initial laboratory experiments were conducted to establish field design parameters and the optimal mix composition between peaty clay and solid waste.Comprehensive analyses were performed to anticipate settlement, lateral movement, and pore water pressure.Subsequently, field implementation involved the application of filling and preloading procedures, utilizing clay and sand from the study site's periphery, presenting a weight volume of 1.8 gr/cm 3 , as the preload material.Post-implementation monitoring was performed using geotechnical instruments such as settlement plates, inclinometers, and piezometers.Data acquired over a three-month period showed that the average degree of consolidation (U), computed using the Asaoka method, was approximately 66%.Consolidation coefficients were found to be 3.5 × 10 -7 m 2 /sec in the vertical direction (cv) and 1.58 × 10 -6 m 2 /sec in the horizontal direction (ch) respectively.Lateral movement, as indicated by inclinometer data, remained less than 25.4 mm, confirming the safety of the upper and lower soil layers with a safety factor (SF) exceeding 1.30.Field Cone Penetration Tests (CPT) and laboratory triaxial tests indicated a 30% increase in the shear strength of the stabilized peaty clay from the ground surface.The pore water pressure, as monitored by the piezometer, decreased to hydrostatic pressure levels.These findings, drawn from three months of observational data, suggest that solid waste can be effectively employed as a stabilizing agent for peaty clay layers.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.249
Threshold uncertainty score0.386

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 head0.019
GPT teacher head0.274
Teacher spread0.256 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

Explore more

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