Low-Carbon Concrete Binder Selection for Indian Exposure Conditions
A completed civil engineering study comparing six concrete binder families for five Indian exposure scenarios using screened literature, transparent decision criteria and uncertainty analysis.
Software compatibility
The retained release and clean Docker run use Python 3.12. No paid engineering software or external dataset is required.
Project definition
Problem statement
Lower clinker content can reduce embodied carbon, but binder families do not respond equally to early strength, chloride, carbonation, sulfate, heat, supply and standards constraints.
The engineering problem is to compare the evidence without turning broad literature trends into an unqualified product recommendation.
Project objectives
- Compare OPC, fly-ash PPC, Portland slag cement, LC3, composite cement and alkali-activated binders.
- Define ordinary inland, hot and dry, coastal chloride, sulfate-bearing and mass-concrete scenarios.
- Score nine technical and implementation criteria with stated evidence confidence.
- Calculate deterministic rankings and scenario shortlists.
- Test ranking stability under score and preference uncertainty.
- State the laboratory, supplier and standards checks required before project use.
Project structure
Project components
Evidence review
Screens 52 official, standards and peer-reviewed sources and records how each source is used.
Binder comparison
Defines six binder families with ordinal scores, carbon screening ranges and evidence confidence.
Exposure scenarios
Sets five civil engineering scenarios with different priorities for durability, strength, heat, carbon, supply and standards.
Decision model
Calculates weighted rankings while keeping non-compensable project qualification checks separate.
Uncertainty analysis
Runs 25,000 fixed-seed samples for every scenario and reports first-rank share and score intervals.
Engineering handoff
Provides scenario decision sheets, qualification tests, limitations and further-work requirements.
Methodology
Project workflow
- 01Review the evidence
Read the source matrix, test boundaries and evidence confidence before interpreting a score.
- 02Select the exposure
Choose the scenario that matches the governing civil engineering condition.
- 03Calculate the ranking
Apply the declared weights to the frozen binder scores and inspect the complete ordered result.
- 04Test uncertainty
Sample plausible score and weight changes and compare rank share and score intervals.
- 05Build a shortlist
Retain plausible binders and identify the evidence that must be replaced with product-specific data.
- 06Set qualification gates
Define mix trials, curing, exposure tests, supplier evidence and current standards review before use.
Demonstration scenario
OPC leads the ordinary inland central ranking by only 0.005 over PSC, so the result is treated as practically tied. PSC leads the hot and dry, coastal, sulfate and mass-concrete central cases, but each shortlist retains alternatives and requires product-specific testing before selection.
Engineering
Tools and method
- Tools
- The project uses Python, NumPy, Pandas, Matplotlib, Jupyter for subject analysis, simulation, and results.
- Evidence model
- A structured reference catalogue connects binder chemistry, durability, carbon, supply and Indian standards context.
- Decision analysis
- A transparent additive model provides comparable scenario rankings after mandatory gates are separated.
- Uncertainty
- Bounded score sampling and Dirichlet weight sampling expose fragile and stable preferences.
- Reproducibility
- Fixed configuration, seed, tables, figures, tests and a clean Linux container reproduce the retained study.
Testing
Evaluation
Evaluation measures
- Complete ranking of six binders in five exposure scenarios
- First-rank share from 25,000 samples per scenario
- Fifth, fiftieth and ninety-fifth percentile suitability scores
- Carbon and durability tradeoff
- Evidence confidence and uncertainty width
- Scenario-specific shortlist and qualification requirements
- Exact reproducibility of the retained numerical evidence
Project boundaries
- The one-to-five scores are analyst-coded literature synthesis values and not measured material properties.
- Carbon values are screening ranges and not product environmental declarations.
- The result changes with concrete strength, binder content, curing, source quality, transport, supply and project specification.
- A weighted score cannot replace mandatory durability, constructibility or compliance gates.
- The evidence cutoff is 29 August 2026 and current standards must be checked before real use.
- The study does not certify a binder, concrete mix or structure.
Included
- 01Complete Python analysis package
- 02Six concrete binder families and five exposure scenarios
- 03Nine-criterion evidence and decision model
- 04Twenty-five thousand Monte Carlo samples for each scenario
- 05Five result tables, one summary and ten labelled figures
- 0675-page project documentation in PDF and editable Word formats
- 0718-page setup and usage guide in PDF and editable Word formats
- 08Fifty-two screened and annotated references with a source matrix
- 09Complete project files, calculations and evidence in a private GitHub repository
Project record
No information is collected on this page.
- Permanent project ID
- GP-CV-0UXC1V3
- Catalogued
- 21 Aug 2026
- Completed
- 29 Aug 2026
- Verified
- 29 Aug 2026
- Demonstration
- Included in repository
Handover
After purchase
- 01Payment is confirmed
The project is marked unavailable and cannot be purchased again.
- 02Repository access is granted
The buyer's submitted GitHub account receives access to the private repository.
- 03The purchase record is delivered
The certification sheet is prepared from the reviewed buyer details and sent privately by email.