Blast, Explosion & Fire

Structural fire analysis of pipe racks, vessels and supports in pool and jet fires

A leak ignites, and the decision is which members need fireproofing and how long the rest will stand. Coupling a CFD fire field to thermal-structural FEA gives steel temperature, strength loss and time to failure per member and per fire, and a surrogate screens the scenario set.

Translucent CFD combustion field above a curved, perforated metal liner wall with two swirl nozzles, the flame volume shaded from blue to red
A CFD combustion field shown as a translucent volume above the metal wall it heats.

Structural fire analysis calculates how hot the steel of a pipe rack, vessel or support gets in a pool or jet fire, how much strength it loses on the way, and how many minutes pass before it can no longer carry its load. We build that chain, from a CFD fire field to a thermal-structural FEA model and a surrogate that screens fire scenarios, as a workflow your engineers run on your existing solvers.

A fuel-gas line on the lower level of a pipe rack leaks and ignites. The rack must hold its process lines until isolation and depressurising take effect, so the review asks which columns and beams need passive fire protection, and how much. Coat every member and cost and schedule absorb it. Coat too few and the first fire to engulf the rack decides for you. Without a time to failure per member and per fire, the safe-looking answer is to coat everything.

What does structural fire analysis have to answer?

For each member and each credible fire, three things: the steel temperature over time, the load the hot member must carry, and the temperature at which it can no longer carry it. Where the first meets the third is the time to failure, compared with the time your isolation, depressurising and emergency response need. If it is long enough the member needs no protection. If not, the model sizes the protection and shows how far it must extend.

Bare steel is fast. The JRC Eurocodes workshop material on fire resistance of steel structures to EN 1993-1-2 works through a six-level steel office building with an R60 requirement: a bare IPE 360 secondary beam, heated on four sides, reaches its critical temperature of 667 °C after 17 minutes of ISO 834 standard fire. The same material gives the effective yield-strength reduction factor as 0.78 at 500 °C and 0.47 at 600 °C. And the critical temperature is not one number: the four bare members of that frame have critical temperatures between 560 and 667 °C, because each carries a different share of its capacity in the fire.

Why is a real process fire harder than the standard fire curve?

Steel responds to the heat flux at its surface, not to the fire's temperature, and that flux depends on the surface: qnet = ε(qinc − σTs4) + h(Tg − Ts): radiation absorbed less radiation emitted, plus convection from the hot gas. Incident radiation comes from a sooty flame of a given size and distance, so it differs from member to member. A furnace test controls one gas temperature around a specimen. A pool fire engulfs a rack from below, radiates unevenly and leans with the wind.

A jet fire adds momentum and locality: it is narrow, directional, and strikes a leg, skirt or column at one spot. The ISO 22899-1 jet fire test describes how passive fire protection behaves in a jet fire under specified conditions, and its scope states that complete I-beams and columns cannot be tested to it, because they disrupt the characteristics of the jet. The shape of the member changes the fire that hits it, which a CFD model with the real geometry can resolve.

Then the steel. A thin section at uniform temperature heats by a lumped balance, dθ/dt = ksh(Am/V) qnet / (caρa), where Am/V is the section factor, the heated surface per unit volume of steel: slender members heat faster than heavy ones. Thick walls, insulated members and joints need conduction through the thickness. On a vessel, the wetted wall stays near the liquid temperature, the vapour-space wall has little cooling from inside, and pressure rises as the contents warm. A relief valve limits pressure. It does not cool the wall.

A pool fire and a jet fire heat a pipe rack and a pressure vessel by radiation and hot gas; the steel responds to the net heat flux at its surface A side view of a process area. On the left a pool fire burns on the ground, with flames drawn as three flickering tongues. Three straight moving rays carry radiation from the flame to the nearest column of a two-bay pipe rack, and two curved moving lines carry a buoyant plume of hot gas over the rack and down onto a vertical pressure vessel. The rack column nearest the fire is bare and is shown heated at its foot, the second column is wrapped in a dashed fireproofing layer. The vessel stands on a skirt; its lower wall is wetted by liquid and drawn cool, while the wall in the vapour space above the liquid level is drawn hot and the vessel contents are shown warming. On the right a leaking flange feeds a narrow, directional jet fire that hits the vessel skirt and heats it at one spot. A line of text under the ground states the heat balance at a steel surface: net heat flux equals emissivity times incident radiation minus emitted radiation, plus the heat transfer coefficient times the gas minus surface temperature. The drawing teaches that fire exposure is local, depends on radiation and convection together, and differs between a pool fire, a jet fire, bare and protected steel, and wetted and dry walls. No values are shown. POOL FIRE 1 HOT GAS RADIATION 2 BARE PROTECTED 3 VAPOUR LIQUID VESSEL 4 JET FIRE 5 NET HEAT FLUX AT THE STEEL SURFACE qnet = ε( qinc − σTs4 ) + h( Tg − Ts ) 6
  1. Pool fire. A burning liquid pool engulfs the equipment above it. The flame is large and sooty, so most of the heat arrives as radiation, and wind tilts the flame and moves the hottest zone from one member to the next.
  2. Radiation and hot gas. Radiation travels in straight lines from the flame to every surface that can see it, and a buoyant plume of hot gas washes the structure by convection. Together they set the heat flux at each steel surface, and neither is uniform.
  3. Bare and protected members. The member nearest the fire heats first, at a rate set by its section factor, the heated surface per unit volume of steel. A fireproofing layer slows the heat flowing in, but the layer, its joints and its edges have to survive the fire as well.
  4. Wetted and vapour-space wall. On a vessel, the wall in contact with liquid is held near the liquid temperature, while the wall in the vapour space has little cooling from inside and heats towards the flame. Internal pressure rises as the contents warm, so the hot wall carries more load with less strength.
  5. Jet fire on a support. A leak that ignites can form a narrow, high-momentum flame that hits a skirt, leg or column directly. It heats one spot far faster than a pool fire heats the whole member, and the shape of the member changes the flow around it.
  6. Heat balance at the surface. Steel responds to the net heat flux: radiation absorbed less radiation emitted, plus convection from the gas. The surface temperature is part of the equation, which is why the fire model and the structural model must agree on how the exposure is handed over.
A pool fire and a jet fire load a rack and a vessel by radiation and hot gas, and the steel responds to the net flux at its surface. Illustrative schematic.

How are pipe rack and vessel fires usually assessed, and where does that break?

Typical assessments use a prescribed heat flux or standard curve for every member, a lumped steel-temperature spreadsheet, and a fire test rating for the protection product. API RP 2218 gives guidance on selecting, applying and maintaining fireproofing to limit fire-related property loss from pool fires, with an informative annex on jet fire considerations. Each tool fits the question it was built for. Four things go wrong beyond it.

  • One flux for every member. It over-protects steel outside the flame and under-protects the member the jet hits.
  • The standard curve. EN 1991-1-2 states in its scope that its methods apply to buildings with a fire load related to the building and its occupancy. Its nominal curves, the hydrocarbon curve included, are still one gas temperature around a member, not a pool or a jet.
  • Test-only protection. HSE research report RR1120 (2017) examined whether the jet fire test represents severe release scenarios. Its summary finds the standard test representative of most but not all, says that simply raising the heat flux may not give a more onerous test, and calls for large-scale testing to show how products respond to actual fire events.
  • A study that cannot be rerun. A CFD fire run is post-processed by hand into a spreadsheet, and when the layout changes the study starts again.
A ring of sheet-metal combustor cans in a gas turbine casing, with the first turbine stage beside them
Combustor cans of a gas turbine, sheet-metal structures built for sustained exposure to hot gas.
Which fire question needs which model
QuestionFire exposureStructural modelDecision it supports
Pipe rack under a pool fireCFD flame with soot and radiation, handed over as an adiabatic surface temperatureThermal model of members and protection, loaded check at temperatureWhich members need protection, how thick, how far
Column, leg or skirt hit by a jet fireJet CFD with the real member geometryLocal heating through the thickness, check with restraintWhether the support holds until isolation and depressurising
Pressure vessel in a fireExposure on wetted and vapour-space wallWall temperature, strength at temperature, internal pressureTime to wall failure against relief and depressurising
Specifying passive fire protectionScenario set, not the standard curve aloneProtected-member thermal model, thickness sweepsThickness and extent per member, what the test must cover
Many members, many fire scenariosPlanned CFD runsSurrogate trained on the chain, with a gateWhich cases get a full run

How do you couple a CFD fire field to thermal-structural FEA?

The coupling variable matters. Passing the CFD heat flux to the structural model looks obvious, but that flux was computed with the CFD model's own surface temperature, not the steel's. The better interface is the adiabatic surface temperature from the NIST paper by Wickström, Duthinh and McGrattan: the temperature of a perfectly insulating surface in the same exposure, defined by ε(qinc − σTAST4) + h(Tg − TAST) = 0. The structural model then computes qnet = εσ(TAST4 − Ts4) + h(TAST − Ts) with its own surface temperature. The authors call it a natural interface between fire and structural models.

We set the chain up that way. The fire field comes from Ansys Fluent or your existing CFD solver, with radiation and soot treatment checked against fire data you trust. A mapping script writes the surface temperature history on every member and feeds the heat-transfer model in Abaqus, LS-DYNA or your existing FE solver, which carries the wall or protection layer through the thickness. A second analysis applies the real loads at those temperatures and reports when the check fails. Our article on thermal stress covers the material side, and the blast, explosion and fire hub and its numerical methods page set the wider context.

Done properly, this leaves three records. Verification: mesh and time-step convergence, a heat-balance check, and the mapping tested on a known case. Validation: temperature histories from your last fire test or instrumented incident, against tolerances written before the run. Uncertainty: flame size and position, wind, leak rate, emissivity, convection coefficient and protection conductivity, swept so the result is a range. One-way coupling, fire to structure, holds until the structure deforms enough to change the flow or the protection falls away, and the workflow flags those cases.

Bare and protected steel temperature against the fire exposure, the critical temperature line, and the time to failure compared with the time your response needs A qualitative plot. The horizontal axis is time and the vertical axis is temperature. The fire exposure, an adiabatic surface temperature from the CFD fire field, climbs steeply and then levels off. A bare steel member heats more slowly and follows below it, and a protected member heats more slowly still. A dashed horizontal line marks the critical temperature at which the member can no longer carry its load in the fire. The bare curve crosses that line first and the protected curve crosses it later, and a dropped marker from each crossing shows the time to failure on the time axis. A bracket under the axis shows the time the plant needs for isolation, depressurising and response: the bare member fails inside that window and the protected member does not. On the right a vertical chain of four boxes with flowing arrows shows how the numbers are produced: a CFD fire field, the adiabatic surface temperature at each surface, a thermal finite element model through the wall or protection layer, and a structural finite element model that applies the loads at temperature. The drawing teaches that time to failure is the time at which the member's temperature meets its own critical temperature, and that it is compared with the time the response needs. No values are shown. TEMPERATURE TIME RESPONSE TIME t1 t2 5 CRITICAL TEMPERATURE 4 1 2 3 CFD FIRE FIELD SURFACE AST THERMAL FEA STRUCTURAL FEA qinc, Tg TAST T(x, t) tfail 6
  1. Fire exposure. The temperature the surface sees, expressed as an adiabatic surface temperature, climbs steeply and then levels off while the fire burns. It comes from the CFD fire field, surface by surface, and not from one gas temperature for the whole area.
  2. Bare steel. The steel lags the exposure because it has to be heated. A thin section with a large heated surface per unit volume follows the exposure closely, a thick section lags further, and its temperature meets the critical line first.
  3. Protected steel. Fireproofing lowers the rate of heating, so the same member reaches the critical line later. The thermal model carries the protection layer through its thickness with temperature-dependent properties.
  4. Critical temperature. The temperature at which the member can no longer carry its load in the fire. It is not one number: it falls as the load carried in the fire rises, so each member gets its own line.
  5. Time to failure against response time. Compare the time each member reaches its critical temperature with the time your isolation, depressurising and emergency response need. A member that fails inside that window needs protection or a different layout.
  6. The coupling chain. A CFD fire field gives the incident radiation and gas temperature at the surfaces. They become an adiabatic surface temperature, which drives a thermal FEA through the wall or protection layer, and the resulting temperatures go to a structural FEA that applies the real loads at temperature.
Steel temperature meets its own critical line, and the crossing is compared with the time your response needs. Illustrative schematic.

A time to failure is not a rating

A computed time to failure is the time for the modelled steel to reach the failure criterion in the modelled fire. A different leak position, wind direction or flame thickness moves it, so we report a range across the scenario set with the assumptions beside it. Nothing we build certifies, rates or approves a structure or a protection product, or replaces the fire tests, safety studies and sign-off that a regulation, insurer or authority requires. Acceptance of virtual evidence is agreed with the authority or your process-safety function, and no result guarantees that a member survives.

Where does AI help structural fire analysis, and where does it not?

  • Scenario screening. A planned set of fire runs varies leak position, direction, rate, duration, wind and protection thickness. A surrogate trained on them ranks every member by time to failure across the scenario space, so full CFD and FEA runs go to the members and fires that decide the design. See surrogate models for CFD and FEA.
  • A flame-hit classifier. Whether a flame engulfs or misses a member changes its heating abruptly. A classifier on that mode sends cases near the boundary to the full model.
  • Run triage. Heat-balance, mapping and convergence checks run automatically, and a run that fails never enters the training set.

It does not replace the fire physics. A surrogate cannot predict a fire unlike those it was trained on, inherits every error of the CFD model, and never decides whether a time to failure is acceptable. Each has a stated range, and outside it the request goes to the full chain. See AI surrogate models you can sign off.

From one fire study to a screening capability you keep

The return comes when your engineers can put the next layout, leak case or fireproofing option through the same chain without rebuilding the model or the checks.

From one simulation study to a permanent workflow A loop of six steps: physics model, validation, automated runs, AI surrogate, decision tool and field data, which feeds back into the physics model. YOUR WORKFLOW Better with every run physics + data + AI, kept in-house 1Physics model 2Validation 3Automated runs 4AI surrogate 5Decision tool 6Field data CFD · FEA TESTS · TRIALS DOE · HPC CLOUD OPTIMISE DECIDE MONITOR RECALIBRATE
  1. Physics model. CFD and FEA set up once, as templates: geometry clean-up, mesh, solver settings and post-processing that every later run reuses.
  2. Validation. Mesh and time-step studies, and comparison with tests or full-scale data, so the model's uncertainty is known before it is trusted.
  3. Automated runs. Scripted runs over the parameters and operating conditions that matter, on your hardware or in the cloud.
  4. AI surrogate. A machine-learning model trained on those runs answers in seconds and says how sure it is; low-confidence questions go back to the solver.
  5. Decision tool. Optimisation, trade-off charts or operating guidance, in a form your engineers and operators use every day.
  6. Field data. Test, trial and monitoring data flow back to recalibrate the model, so it improves with every project instead of being rebuilt.
Physics, validation, automation and AI in one loop that improves with every run. Illustrative schematic.
  • A scenario file holding leak position, direction, rate, duration, wind and protection specification, so a fire case is a line of input, not a new model.
  • A fire-field template in your existing CFD solver, with its checks built in and a script that writes the surface exposure for every member.
  • A thermal-structural template in your existing FE solver that reads that exposure, applies member loads at temperature and reports the time to failure.
  • A validation record against your last fire test or instrumented incident: measures, tolerances set before the run, and results.
  • A surrogate with a stated range and a gate at the flame-hit boundary, so a request outside the range goes to the full chain.
  • Handover and training, so your team extends it itself. See our training and software development services.

Questions engineers ask about structural fire analysis

How long can unprotected steel last in a fire?
It depends on the section factor, the heat flux and the load in the fire. In the JRC worked example a bare IPE 360 beam reaches its critical temperature of 667 °C after 17 minutes of ISO 834 standard fire.
What is the difference between a pool fire and a jet fire for structures?
A pool fire is large, radiation-dominated and engulfs members over a wide area. A jet fire is narrow and directional and heats one spot hard. Your hazard study decides which apply.
Is the ISO 834 standard fire curve valid for hydrocarbon fires?
It is a furnace exposure, and EN 1991-1-2 states in its scope that its methods apply to buildings. Process fires are defined by the scenario and your fire protection philosophy.
Can simulation replace fire testing or a passive fire protection rating?
No. Simulation supports design decisions and test planning. Protection products are rated by fire test, and virtual evidence is accepted only as agreed with the authority or your process-safety function.

If a fireproofing decision or a fire case is waiting on a time to failure, send us the layout or model of the area, the fire scenarios from your hazard study, the member list with loads and the protection specification. We reply with how we would set up the fire exposure, which members the screening should rank first, and what the validation record should hold. Start with a conversation.

OLTRION Engineering

CAE, CFD and simulation team

The OLTRION engineering team runs CFD, FEA and multiphysics simulation programmes for aerospace, automotive, energy and industrial clients, and builds the machine-learning tools that speed them up. These articles come from that project work.

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