What is a smart maintenance strategy?

What is a smart maintenance strategy?

In the age of steam engines and shipyards, maintenance was mainly driven by experience: you could hear the metal 'working,' smell the oil, see the rust, and that told you enough. Today, bridges, tanks, offshore assets, and industrial installations are still just as physical, but the decisions around them are increasingly financial, contractual, and legal. And that's exactly where the friction is: maintenance budgets, warranties, and damage claims are still too often discussed as if degradation is a matter of opinion, instead of a measurable process.

Anyone who wants to be strong at the negotiation table in 2026 would do well to stop 'estimating' service life and start substantiating it. Data-driven service life assessments make the difference between debate and clarity, both towards the contractor and the insurer.

From rule of thumb to service life curve: why 'roughly' can be expensive

Many maintenance plans start with a simple assumption: 'this coating system will last 15 years' or 'that environment is C5, so recoat every 10 years.' Such rules of thumb are handy, until money is at stake.

As soon as you work with performance contracts, maintenance budgets, or warranty periods, every party wants the same thing: to minimize risk. Only, without data, risk becomes a negotiation game. With measurements and modeling, it becomes a conversation about facts.

Data-driven service life assessments start from real degradation, not average tables. They translate condition measurements and environmental effects into service life curves that you can explain, defend, and include in contracts.

 

How smart monitoring is changing maintenance of structures | Bjond Innovation | Blog

How smart monitoring is changing maintenance of structures

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Measuring what you can’t see: EIS and condition evidence for corrosion protection

Coatings rarely 'fail suddenly.' Usually, there is a long lead-up: water uptake, pore formation, loss of barrier function, underfilm corrosion. The problem is that you don't always see those signs with the naked eye, certainly not in time.

EIS measurements for corrosion protection, performed on existing layers or via sensor technology, do provide early indications of degradation. Consider:

  • change in impedance as a measure of protection quality
  • detecting initial water penetration even before blistering is visible
  • comparison between zones with different loads, for example splash water, UV, chemical precipitation

When you link that data to inspections and context (load, application quality, detail design), you get a substantiated picture of remaining service life. This picture is much more useful in liability discussions than a photo of a rust spot.

Bjond Innovation uses those measurements and interpretations specifically to translate material science complexity into predictable performance, with an approach that is both technically and contractually useful. More background on this approach can be found on the page Monitoring & Data-Driven Maintenance.

Monitoring data that makes maintenance strategies smarter (and discussions shorter)

A one-off inspection is just a snapshot. But monitoring data that guides maintenance strategies does something else: it shows trends. And trends are negotiation language.

With continuous or periodic follow-up, for example via sensors, repeated EIS measurements, climate data, and targeted field inspections, you can:

  • show whether degradation is accelerating or stabilizing
  • plan maintenance based on condition instead of calendar
  • prioritize zones where risk is actually increasing
  • allocate budgets with arguments that a finance committee understands

With that, you shift the conversation from 'we think that' to 'we see that.' In performance contracts, that’s an important difference: you make performance measurable, and therefore enforceable.

 

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How do you detect and prevent corrosion in steel structures?

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Accelerated aging to test realistic scenarios

Not every asset owner can wait until 8 years of field data is collected. Sometimes you have to decide within months about a coating system, a warranty arrangement, or a repair strategy. That’s when accelerated aging research becomes relevant.

In accelerated aging research according to NORSOK or in line with ISO 12944-9, you test coating systems under aggressive cycles (UV, salt, condensation, temperature). The goal is not 'a lab score', but a comparison basis that you translate to practice:

  • which system loses barrier properties the quickest
  • how sensitive a system is to application variation
  • what mechanical damage does to protection over time
  • which failure mechanisms fit your environment (offshore, industrial, infrastructure)

When you derive ISO 12944-9 durability curves from those tests, you can make choices and assumptions explicit. This is particularly useful for specifications and discussions about 'equivalent' materials.

Those who want to go deeper into test set-ups, interpretation, and expert reports can visit Research & Expertise, where Bjond Innovation conducts independent studies on corrosion and degradation.

 

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Is the salt spray test outdated in light of today’s corrosion tests?

Steering risk instead of reacting: planning maintenance with contract value

Risk-based maintenance planning is more than a matrix of likelihood and impact. It is a way to turn technical uncertainty into agreements that hold under stress: damage, delay, budget pressure, or claim discussions.

When you combine data-driven service life estimates with risk analysis, you can, for example:

  • link maintenance intervals to probability of failure, not average service lives
  • determine which inspection interval is economically optimal
  • show where 'acting too early' costs money and where 'acting too late' triggers claims
  • decide whether you should repair, reinforce, or replace

The result is a plan that not only makes technical sense, but also substantiates why budgets are what they are. That makes performance contracts on maintenance budgets more defensible, both internally and externally.

Three negotiation scenarios where data makes the difference

1) Warranty discussions with the contractor: from debate to measurement points

When negotiating with contractors about warranties, a gray area often arises: is the failure due to the product, the application, the detailed design, or the environment?

With condition measurements and trends you can make warranty agreements more concrete, for example by:

  • linking acceptance criteria to measurable coating condition
  • objectively documenting exceptions (chemical peak load, mechanical damage)
  • setting repair trigger points before visible rust occurs

This shifts a warranty from 'we’ll see' to 'we follow up.'

2) Claim settlement with the insurer: substantiation with degradation arguments

When negotiating claims with insurers, it is often about cause, timeline, and preventability. Monitoring and material research help to corroborate those three elements.

Consider:

  • demonstrating that degradation was present before an incident, or not
  • distinguishing between sudden damage and progressive deterioration
  • justifying that maintenance was reasonable and timely, based on measurement data

A file with measurement series, inspection history, and failure mechanism analysis is not only more convincing, it is also quicker to discuss.

3) Performance contracts: paying for results, not assumptions

Performance contracts often ask for availability, protection level, or service life. Without a measurement strategy, that remains vague.

With data-driven maintenance for coating systems you can define KPIs that make technical sense, such as:

  • condition bandwidths per zone (splash water, atmospheric, under insulation)
  • inspection and measurement frequencies linked to risk
  • intervention thresholds that prevent escalation

That makes the contract fairer: both asset owner and contractor know what they are being held accountable for.

The Bjond approach: independent, hands-on, and decision-focused

Bjond Innovation is an independent materials science consultancy for construction and industry, focusing on coatings, corrosion engineering, concrete, and monitoring. Instead of just reporting what is wrong, we translate measurements and research into choices that work in reality: budgets, planning, contracts, and liability.

Our added value lies in the combination of:

  • field measurements such as EIS for the actual condition of coatings
  • analysis of degradation and failure mechanisms, linked to environment and execution
  • test programs and interpretation in line with common standards, but without solely relying on minimum requirements
  • reporting that remains readable for non-specialists without losing technical precision

Those who want to explore which measurement or research approach is suitable for a specific asset can start via our areas of expertise or contact us directly via the Contact page.

 

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How do you protect high-rise buildings against stress corrosion with the right steel choice?

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Conclusion: those who measure, negotiate more calmly

Negotiation is often seen as a game of experience and position. In maintenance and corrosion protection, it is more often a game of uncertainty. By making degradation measurable, you reduce uncertainty, and every negotiation becomes simpler: with contractors about warranties, with insurers about claims, and internally about maintenance budgets.

If you want your structure or coating system to be assessed based on actual condition and realistic service life curves, Bjond Innovation is happy to help you with measurements, monitoring, and independent research. Take the first step and submit your situation via Bjond Innovation or schedule a conversation via contact.

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