Service overview
Infrastructure, earthquake analysis, geotechnics, transportation, water resources, construction materials. This service is part of that division and is scoped individually around what you need to learn, decide or publish.
Concrete is the most widely used construction material, and much of the environmental impact of building is tied to cement production. Research on alternative binders, recycled aggregates and durability aims to maintain performance while reducing impact. The experimental work is slow and costly: concrete cures over weeks, durability tests take months and properties depend on many interacting variables, from water-to-binder ratio to curing conditions.
These features make statistical planning and analysis particularly valuable. Designed experiments can reveal the effects of mixture variables and their interactions with few batches, regression models can predict properties, and life-cycle thinking helps ensure that an apparent benefit in one stage is not offset elsewhere. This service supports construction-materials researchers in planning, analysing and interpreting such studies.
If you plan to publish the outcome, see manuscript & publication support, for example computational & simulation manuscripts or original research article writing.
What this service covers
Problems this service can address
- Mix design studies with many interacting variables
- Durability behaviour that is slow to measure
- Quantifying embodied-carbon claims
Methods and analytical approaches
- Designed experiments for mix optimisation
- Strength and durability data analysis
- Predictive models for properties
- Life-cycle inventory concepts for materials
Applications
- Alternative binder and recycled-aggregate research
- Durability and service-life studies
- Sustainable construction assessments
Relevant engineering disciplines
Scope, inputs and deliverables
Scope of work
- Definition of the technical question, system boundary and success criteria
- Analysis, modelling or data work appropriate to your inputs
- Results with stated assumptions and limits of validity
- Documentation in a form suitable for reports or publication
- Feasibility check on: mix proportions and test results
Typical inputs required from you
- Mix proportions and test results
- Test standards followed
- Environmental data, if an LCA is intended
Deliverables
- Statistical analysis and models
- Material-property figures and tables
- Discussion of sustainability implications
Highly specialised requests are first checked for feasibility from this information. Please do not send confidential data through the public form; describe it first and agree secure transfer afterwards.
Project workflow and method
- 01Enquiry and requirement assessment
- 02Technical scoping and proposal
- 03Execution
- 04Quality review and delivery, with an agreed round of revisions
Read the full project workflow.
In depth: how the work is done
Designing mixture experiments
Concrete mixtures involve constrained proportions: the components sum to a whole, which calls for mixture designs and appropriate models. Factorial and response-surface designs handle process variables such as water-binder ratio, admixture dose and curing. We help select variables and ranges, plan blocking for casting days and curing regimes and determine the number of replicates needed to detect differences of practical importance, given the typical coefficient of variation of the test.
Analysing strength and durability data
Compressive strength tests give moderate scatter; durability measures such as chloride penetration, carbonation depth, sulphate resistance and freeze-thaw behaviour can vary more and depend on test procedure. Analysis must respect the structure of the data, with batches and specimens nested, and must report both the mean and the variability. We help choose appropriate tests and standards for the claims being made, and we quantify differences with confidence intervals.
Predictive models for properties
Regression and machine-learning models relate mixture and processing variables to strength, workability or durability measures. Physically informed models, such as those based on water-binder ratio and degree of hydration, improve extrapolation. Validation on independent mixtures is essential, since models fitted to one set of materials seldom transfer to materials with different chemistry. Prediction intervals and applicability ranges are reported.
Alternative binders and recycled aggregates
Supplementary cementitious materials, alkali-activated binders and recycled aggregates alter workability, strength development and durability in ways that depend on the source material, which can vary widely. Characterisation of the materials, including composition and particle size, is as important as the mixture proportions. Claims about performance should be restricted to the materials tested, with discussion of variability in supply.
Life-cycle and sustainability thinking
A sustainable construction claim requires a comparison across the life cycle: raw materials, production, transport, construction, use and end of life, with a stated functional unit and system boundary. Inventory data come from databases or measurements, with uncertainty. Durability affects the service life and thus the impact per year of service. We describe the approach and data limitations and caution against single-indicator conclusions when impacts trade off against one another.
Quality control and good practice
Quality-control approach
- Models and analyses are checked against hand calculations, published benchmarks or your data where available.
- Assumptions, boundary conditions and sources are listed in the deliverable.
- Units, symbols and terminology are checked for consistency.
- Limits of validity are stated; the work is research-level analysis, not certification.
Common pitfalls this service helps avoid
- Comparing mixtures at different workability or age. Differences in testing age or slump can confound the effect of the variable of interest.
- Neglecting batch-to-batch variation. A single batch per mixture cannot separate material effects from batch effects.
- Transferring models across materials. Property models calibrated for one set of materials may fail for another.
- Claiming sustainability from one indicator. Reduced carbon may come with higher impacts elsewhere or shorter service life.
What good reporting looks like
A construction-materials report details the materials and their characterisation, the mixture design and experimental plan, the test methods and standards, the data with replication and variability, the statistical analysis and effect estimates with intervals, the property models and validation, the life-cycle approach and boundaries where applicable, and limitations including material variability and test conditions. Statements of compliance with product standards are outside the scope and must be based on accredited testing.
An illustrative scenario
Hypothetical example written for explanation. It is not a client case, a result or a testimonial.
Imagine a researcher replacing part of cement with an industrial by-product. A mixture design with replacement level and water-binder ratio as factors is run over three casting days, with day as a block. The analysis shows a strength reduction at early age that diminishes at later ages, with an interaction between replacement level and water-binder ratio. A simple life-cycle comparison of embodied carbon per unit of strength is presented with caveats about transport distance and the variability of the by-product.
Questions to settle before you begin
- Which variables and ranges should I test?
- How many batches and specimens do I need?
- Which standards govern the tests I plan to use?
- How variable is my source material?
- What system boundary and functional unit will I use for sustainability claims?
Key terms
- Water-binder ratio
- The mass ratio of water to cementitious materials.
- Supplementary cementitious material
- A material used to replace part of the cement.
- Mixture design
- An experimental design for components whose proportions sum to one.
- Functional unit
- The reference quantity used to compare life-cycle impacts.
- Carbonation
- Reaction of carbon dioxide with cement hydrates reducing alkalinity.
Working together on Civil, Structural & Infrastructure Engineering projects
Civil, structural and infrastructure research engagements start with a description of the structure or system, the loads and environment, the codes or standards that provide context and the questions the research must answer. We ask for drawings or descriptions, material data, monitoring data where they exist and any previous analyses. The work provides research analysis, literature-based assessment and documentation. It does not replace the design responsibility of licensed engineers, code compliance checks or site-specific professional judgement, and it states clearly where those are required.
Frequently asked questions
Do you perform laboratory testing?
No. We analyse and model data from your laboratory or published sources.
Can you plan a mixture experiment for my recycled aggregate study?
Yes. We would define factors, ranges and replication and propose an analysis plan.
Can you analyse existing durability data?
Yes, with attention to the test procedures and the nesting of the data.
Do you carry out life-cycle assessment?
We can support simplified, transparent life-cycle analyses with data you supply or select, noting the uncertainties. Formal certified assessments are outside scope.
Do you do laboratory testing?
No. The service plans and analyses; testing must be done in a laboratory.
How is this service scoped and priced?
After your enquiry we review what you need, ask for missing information and send a written scope and quotation. Price depends on complexity, deliverables and timeline. See the project workflow.