Research Collaboration

Graphene-enabled cementitious sensing — open research

INFORMPULSE is seeking research collaboration to investigate whether graphene-family and tyre-derived conductive-carbon cementitious systems can produce repeatable, measurable and engineering-relevant structural-health signals under realistic batching, curing and loading conditions. We invite academic collaboration across materials science, concrete engineering, electrical sensing, DAQ, signal processing, digital twins, lifecycle assessment and research commercialisation. INFORMPULSE is not a finished replacement for existing inspection systems — it is an applied research programme seeking rigorous validation through open, evidence-led collaboration.

Programme framing

How we work

Open research questions

We publish the questions we cannot yet answer. Collaborators engage with genuine unknowns, not pre-determined outcomes.

Evidence-gated governance

All work packages operate under stage-gate controls. No claim is made before project-specific evidence is verified.

Commercialisation pathway

Successful validation creates a joint pathway to publication, IP strategy, pilot design and potential commercialisation.

Open research questions Q01–Q08

The questions INFORMPULSE cannot answer alone

Q01

Which graphene-family material class (GNP, GO, rGO, turbostratic graphene, conductive-carbon analogue) provides the best balance of conductivity, dispersion, workability and cost in cementitious systems?

Q02

What dosage range produces measurable electrical response without compromising concrete mechanical performance or workability?

Q03

How reproducible is dispersion under practical batching conditions — and what mixing protocol, sonication energy and admixture combination is required?

Q04

How stable are electrode contacts during curing, sustained loading and environmental exposure (humidity, temperature, carbonation)?

Q05

Can DAQ/PULSE analytics distinguish useful structural signal from noise, humidity drift, temperature variation and curing effects?

Q06

What piezoresistive or impedance response threshold is required to provide decision-relevant information to asset owners and engineers?

Q07

What validation pathway — test standards, acceptance criteria, governance — would be required for adoption by engineers, asset owners, regulators and insurers?

Q08

Can a tyre-derived pyrolytic carbon black feedstock be reliably upgraded into a cementitious-grade conductive additive at repeatable quality under INFORM batch conditions?

Work-package matrix WP1–WP10

How collaboration is structured

IDWork packageScopePotential stakeholders
WP1Feedstock & pyrolysis characterisationTyre-derived feedstock supply, pyrolysis output characterisation, batch traceability.Tyre-derived feedstock partners, materials scientists, lab team
WP2Materials characterisationCOA/SDS review, morphology, batch traceability, material-class selection and supplier qualification.Materials scientists, suppliers, lab team
WP3Dispersion & mix designSonication method, surfactant/PCE compatibility, solids loading, workability and batching repeatability.Concrete technologists, chemists, admixture specialists
WP4Mechanical performanceCompressive and flexural response, curing behaviour, control sample comparison under standards-aligned protocols.Civil and concrete engineers, testing labs
WP5Electrical responsePercolation threshold, impedance/resistance measurement, gauge factor, electrode stability and environmental drift assessment.Electrical engineers, sensing and materials specialists
WP6DAQ / PULSE validationDAQ dry-run, calibration traceability, data ingestion, timestamping, noise-floor assessment, anomaly-detection validation.DAQ engineers, data scientists, software team
WP7SHM benchmarking (Layer 21)Benchmark against FBG, strain gauges, AE, DIC, vibration and visual inspection with ground truth and independent review.SHM academics, NDT specialists, statistics specialists
WP8Pilot & adoption pathwayField-trial design, standards alignment, asset-owner workflow integration, procurement requirements, commercial model.Industry partners, councils, regulators, commercial leads
WP9LCA, TEA & commercialLifecycle carbon analysis, cost-performance modelling, scalability assessment, circular-economy claims validation.LCA specialists, economists, commercialisation leads
WP10Evidence, standards & governanceDocument control, claim audit, risk register, IP / publication governance, stakeholder management.Project management, legal, governance, document control

Collaboration pathway

Six-step engagement

STEP 01

Technical scoping workshop

Define shared research questions, align on methodology, confirm governance arrangements and establish IP framework.

STEP 02

Stage 1 protocol freeze

Co-develop and lock the test protocol, material selection, DAQ configuration and WHS requirements before any lab execution.

STEP 03

Controlled lab validation

Execute the agreed test programme under frozen protocol. All data logged with full traceability. Results shared with all collaborators under the agreed publication framework.

STEP 04

DAQ / PULSE signal validation

Validate signal capture, electrode stability, ingestion pipeline and anomaly-detection classification against controlled test data.

STEP 05

Pilot design

Co-design a field-relevant pilot pour. Define constructability requirements, partner approvals and monitoring architecture.

STEP 06

Field trial, publication & commercialisation

Execute pilot, publish findings under agreed authorship and IP arrangements, and explore joint commercialisation, licensing or further grant opportunities.

Publication, IP and confidentiality

How results, IP and data rights are handled

Publication governance

Authorship, timing and pre-publication review arrangements are agreed in writing before lab execution. Researchers retain academic freedom subject to a reasonable confidentiality review period.

IP framework

Background IP remains with its owner. Project IP arrangements are documented in a collaboration agreement. Patentable inventions are reviewed before public disclosure.

Data rights

Raw data, processed data and analysis outputs are shared with collaborators under a documented data-management plan. Data retention, archive and access controls are defined per work package.

Confidentiality

Detailed formulation, dispersion, electrode and calibration parameters are not published publicly and are subject to confidentiality arrangements. Collaborators receive controlled access under NDA and data-room approval.