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Validation of the "FRAME" -method."FRAME" appeals to risk professionals as it "feels good", i.e. the
results of the calculations fit the intuitive evaluation, based on
knowledge and experience. But as for all empirical methods, the
question is often raised where does it stand scientifically? The distrust for empirical methods is understandable, yet such calculation rules have been established and used with confidence in many fields and for many years before
there was any scientific support for them. Men did have some empirical rules to
build ships before Archimedes discovered the physical law for
buoyancy.
Assessing Hazards and risksRisk assessment has become a common growing practice in all safety related disciplines, and various methods are used to assist the decision making processes, not only to know what to do, but also to have a reasonable insight in the cost/benefit balance of a proposed set of provisions. Fire risk assessment has been practiced for many years with variable success. The development of performance based fire codes and fire safety engineering has increased the interest for risk assessment tools suitable for fire safety issues. Some methods exist already for more than 40 years, others were developed and have been abandoned again, some in-house methods are only accessible for a few, but others are easily available at limited or even at no cost. All currently available methods use some kind of software to make calculations and to issue reports. The WG6 workgroup of the EC-funded FiRE-tECH research programme, Fire Risk Evaluation to European Cultural Heritage, issued in 2004 an overview report describing some 12 fire risk assessment methods and their main characteristics. The reports of the 8 working groups issued reports were for some time available at the Internet, but unfortunately the website is closed and the reports are no more readily accessible. An overview of the project and some documents are available on the FRAME - website under "Extra - FiRE-Tech project ". Guidelines for Fire Risk Assessments.In English, two guidelines exist to help the user of fire risk assessments: NFPA 551, Guide for the Evaluation of Fire Risk Assessments, and CFPA Europe Guideline n° 4 "Introduction to Qualitative Fire Risk assessment", issued in 2006. The NFPA 551 guide is intended to provide assistance, primarily to authorities having jurisdiction (AHJs), in evaluating the appropriateness and execution of a fire risk assessment (FRA) for a given fire safety problem. While this guide primarily addresses regulatory officials, it also is intended for others who review FRAs, such as insurance company representatives and building owners. The CFPA Guideline n°4 is mainly oriented towards safety in a workplace both for staff and visitors. To confuse the reader, both documents have different definitions for hazard, risk, exposure, etc. To make the confusion even larger in the United Kingdom, a different type of fire risk assessment is imposed since 2006 for non-domestic premises by the Fire Regulatory Reform Order and the Fire (Scotland) Act. The obligation basically requires a list of existing fire related hazards and a code compliance check. The websites of the numerous British companies which offer this kind of service are a nuisance for anybody who searches the internet for more elaborate fire risk assessment tools. Luckily, you might have found the "FRAME" website too. The French INRS has published a number of documents on the subject which follow basically the same checklist + code compliance approach as the British.
Acceptable risk arguments.All methods for risk assessment give some way of quantification of hazards, and in most of them there are also guidelines to compare the risk with a benchmark which is considered to be an "acceptable level" of risk. The "acceptable risk" idea has been debated for a long time. One of the first publications on the subject was William W. Lowrances' book "Of Acceptable risk, Science and the determination of safety." published in 1976. Lowrance already wrote that people accept risks, even with deadly consequences, if the combination of probability, exposure and severity is low enough. He also indicates a number of factors that influence the way risk are accepted or tolerated. Sometimes people are bound to accept a risk because they do not have the means to protect themselves or because they consider these risks as inherent to life. In this way, people accept in some countries floods or earthquakes as part of their living conditions. Risks are less acceptable when the consequences are more severe, when more people are exposed to the risk at the same time, and when the duration of exposure is lengthy. A risk is considered less acceptable when the consequences are readily visible. A risk is more easily accepted when the consequences are reversible, of short duration or repairable, when there is a visible benefit in taking the risk, and when one thinks to have control of the causes of the undesirable event. An unknown or hidden risk will be less acceptable. In this way, people have more fear of a fire during the night than during daytime, although the probability of starting a fire is much higher when they do all kind of things, then when they are at rest. The basic acceptable level of risk in a situation of permanent exposure to a hazard is a risk level that is lower than the natural death level. That level is usually defined as the risk of one death with a probability of less than 1 per million of persons per year, or 1.10-6 / person*year. For accidents with a potential of multiple deaths, it appears that the acceptance of risk is reduced by the square of the number of possible victims: for 3 deaths, the acceptability is 9 x less, for 10 victims, it is 100 x less, and for a 100 deaths, it is 10.000 x less. When the exposure to the hazard is not permanent, a higher level of risk will be accepted. NFPA 551 makes no clear distinction between continuous and discontinuous exposure, unlike the CFPA Guideline n° 4 which uses the following approach: RISK is defined as a function of EXPOSURE x SEVERITY, where EXPOSURE can have a range from 0 to 1 and SEVERITY can have a range from 1 to 3. For life threatening hazards such as aids, smoking cigarettes and also fire, it appears that the acceptable risk level is not defined by the frequency of occurrence but by the level of exposure. As the outcome is always death, the recommendations are meant to reduce the exposure to the hazard, not to reduce the effect of it. In fire protection, the common practice to impose higher requirements on high rise buildings compared to low or medium height buildings with the same occupancy, cannot be explained by a difference in fire probability, but is fits perfectly with the higher exposure in high rise buildings, where the time required to evacuate the occupants is much higher.
There a several approaches possible to make a (fire) risk assessment ( see also : "risk evaluation" ), but the most elaborate methods use mathematical expressions,based on a combination of values representing the probability of fire, the severity of the fire scenario and the level of exposure. Probability based risk quantification methods.Probability based methods start from the observation that unwanted vents like fire have a variety of outcomes. Most methods are not specifically developed for fire risks and need some kind of interpretation to be used for fire risk assessments. The existing methods can be classified as two-dimensional or three-dimensional evaluation of risks. The "American school" of fire protection engineers uses mostly two-dimensional risk quantification schemes, based on the technique described in NFPA 551, Guide for the Evaluation of Fire Risk Assessments. Two-dimensional methods were developed by the nuclear, chemical and aviation industry where the hazard exposure is continuous or exists over long periods. They express the risk as a combination of a probability of occurrence or frequency and a magnitude of the consequent loss or severity. These two-dimensional schemes tend to create some confusion as they do not fit the usual practice for life safety, where a combination of severity and exposure is more often used in the risk assessments. The most commonly used approach is the ASET/ RSET evaluation: A worst case RESET, Required safe egress time, calculated with an egress model is compared with a worst case ASET, the Available safe egress time, obtained with a zone or field model. Once the RSET is higher than the ASET, the occupants are considered to be exposed to a life threatening and unacceptable risk. In reality the probability of such a simultaneous occurrence of both scenarios is very low, and in many situations there will be still a comforting safety margin. NFPA 101 "Life safety code" chapter 5.5 defines 8 design fire scenarios for approvingperformance based designs. Except for scenario 1, none of these scenarios can be found back in the fire statistics among the most probable fire cases. This means that the probability component of the risk is disregarded and that the focus lays on the exposure component, when life safety is at stake. Methods based on a combined evaluation of exposure, probability and severity offer a better approach for fire, which is a non-continuous hazard and basically a rare but unwanted event. This approach fits better to the intuitive way of making fire risk assessments and to the reasoning underneath code requirements. Three-dimensional methods use Exposure, Probability and Severity for risk quantification. This type of risk evaluation is practised in those areas where the exposure to the hazard is not continuous, such as workplace risks, machinery defects, and fire. One of the oldest and widespread methods for workplace risk assessment was developed back in 1976 by Kinney, Wiruth e.a. and is widely used for the analysis of workplace hazards. The approach is known as the Kinney or ESP method. A similar approach can be found in the standards for the safety of machinery, such as EN-ISO 14121-1:2007 and the older EN 1050 and EN 954-1 standards, and this three-dimensional evaluation is also included in "FRAME". Three-dimensional risk expressions.For the safety of machinery, the way to combine severity and probability of occurrence into an acceptable risk is clearly defined and explained in EN1050 and EN954-1. The severity of a risk is evaluated as "worst case consequence" without consideration for the effectiveness of the protection or for the duration of exposure. Such "worst case" becomes acceptable when the combination of exposure and low probability balance the severity of the case. A generally used mathematical expression developed by KINNEY e.a. For such an acceptable situation is the formula: whereby :
It should be noted that the severity, probability and exposure are linked to the same undesirable event. The result can be visualised as a three-dimensional parabolic field; all risks located below this limit being acceptable, those above need correction.
FRAME approach of fire risksThe similarity between the "FRAME" basic formulas and the expression used in the KINEY method clearly shows that "FRAME" is not a "point-system" like some checklist based other methods ( e.g. NFPA 101A FSES method) but a probability - exposure - severity based method. This formula can also be written as : The potential risk P is the severity dimension, the protection degree D is the probability dimension and the acceptable risk A is the exposure dimension. Fire severity evaluation.The potential risk P is decisive for the severity. by the combination of the 3 factors q, i and v. The fire load factor q measures the possible fire duration, and the i and v factors modify this value for the initial fire growth and for the flash-over conditions. Natural fire models usually show a slow growing beginning, usually a t² - curve, representing the initial development of fire before flash-over, a nearly horizontal curve for a fully developed fire and a declining tail (linear or t²) to represent the extinguishing
phase of the fire.
The nearly horizontal part of the temperature-time curve covers two current scenarios in real fire conditions: it can be either a post-flash-over ventilation controlled
fire or a situation where the heat output of the fire is nearly in
balance with the heat absorption potential of the water flow applied
by the fire brigade and sprinklers. In both cases a nearly constant
RHR (rate-of-heat-release) is assumed, and the duration of the fire
is almost linear linked with the available fire load. The tail end of the fire
extinguishing is not very interesting in risk assessment, as the key
question is to define when and how often the thermal action will be
sufficiently strong to cause the undesirable event. Fire Duration expression.Most mathematical models express the severity of the thermal action of a fire as a function of the duration of the fire. The standard fire curves, (see Eurocode EN1991-1-2) are logarithmic temperature-time curves. The curves have a fast growing head, representing the start of flashover conditions and a more horizontal body, representative of a severe fire with a more or less constant rate-of-heat-release.
In FRAME the duration part of the fire model is also represented by the logarithmic expression used for the fire load factor q. The basic formula for q is logarithmic, which corresponds with the logarithmic distribution of fire damage as found in fire statistics, and with the standard temperature-time fire curves. The 0.55 correction can be seen as that part of the fires heat output that is lost in the growing phase, goes into the smoke and is left in the extinguishing phase. Fire growth and rate-of-heat-release.Introducing a beginning phase in a fire model is more significant, as it gives
an indication of the time delay before the severe thermal action starts,
and influences greatly the effectiveness of defensive actions such as
fire operations and sprinkler actuation.
The combination and balancing of the three parameters is the result of reasoning and experienced guesswork, there is no scientific evidence available to support the combination as such, but there is NEITHER any scientific material that indicates that the combination is WRONG. The value of i will vary in the range of 0.5 to 1.65. The first value is representative for a storage of large blocks of concrete. The last one is typical for a heap of chips of expanded polystyrene. For most houses, the value of i will be about 1.2, assuming e.g. that m= 0.1, T = 200 and M = 3. Considering the logarithmic aspect of the basic formula, and the value for i, a "residential" fire (i=1.2) is then comparable to an ISO 834 standard fire, the i-value of 0.5 means that a fire in a storage of concrete blocks should be comparable to 20 % of an ISO fire, the polystyrene fire (i=1.65) could be 3 times as severe. Any other guess or approach is welcome, but the range seems fairly reasonable. Fire growth to flash-over.Generally speaking, localised fires are easier to handle: They do not impose a
severe action on the building elements and can be approached for extinguishment. The
transition from a localised fire to a fully developed fire is
described in the scientific literature and expressed as a function of
the fire heat release, the (square root) of the height between
ceiling and floor, and the area of available ventilation openings.
(E.g. Thomass flashover correlation, ventilation limit theory
by Kawagoe). The effect of this factor in the potential risk P reflects an increased severity for high fire loads inside the compartment, and a decrease in severity when favourable ventilation conditions allow for localised fires. Whether the expression is a correct transcription of the scientific theories cannot be proven, but in practice properly engineered smoke venting systems always give a v-value slightly below 1, meaning that the fire severity is reduced, which is exactly what smoke venting systems do. The probability of occurrence.
In FRAME, the combination of probability related factors is spread between P and D to
fit practical design conditions, as some parameters are more linked to the
buildings location, the others to the design of fire protection systems. Probability of ignition. A number of fire safety studies consider the probability of ignition to be more
or less uniform within compartments with similar occupancies, supported by
statistical values. A few surveys have established such values for offices, housing,
industrial building: they are in a range around 10-6 events per
m² per year. The probability of ignition is therefore linked to the compartment
floor area: the larger the compartment, the more likely a fire will occur. In
prescriptive codes, compartment size limitations are apparently not
linked to probability, but inspired by a concern for controllability
of the fire by limiting the total quantity of combustibles (area x fire load).
Probability of controlling the fire. 1/D indicates the probability that a fire develops fully into a catastrophic situation: A high level of protection reduces considerably the probability of such event.
Reliability of protection elements in FRAME.FRAME protection degree sub factors
W (water supply), N (normal protection), S (special protection), U
(escape) and Y (salvage) deal with a large number of variants of
design features, active fire protection devices and systems, fire
fighting organisation, etc., as well with reliability aspects. Early
control by the occupants is e.g. considered as part of the normal
protection. It can be easily checked that the values used in the
evaluation of these factors reflect the relative contribution of
these features to the overall probability of successful control of
fire before it reaches a critical situation. A lack of water supply
on the premises results in a value for W, which just means that the
fire brigade has one chance in two to extinguish the fire with the
water in their trucks. The combined result is a "probability"
correction for the risk assessment formula.
Probability of building collapse.The probability of a final
"victory" of fire depends in the end on the fire resistance
of the structural and separating elements compared to the estimated
duration of the fire. In general, codes require a certain level of
fire resistance for structural and non-structural elements, compared
with the available fire load as basis combined with a safety factor
to reduce the probability of ruin by fire. A typical fire in a
non-industrial environment has an average ISO 834 duration between 30
and 45 minutes.
The exposure component in FRAME.The EN954-1 approach of risk evaluation indicates that a higher level of protection reliability
is required when the exposure of the subjects to the risk is frequent or
prolonged. There is thus a requirement for some measurement of the exposure.
Exposure for peopleUsually people are considered to be safe, when they have left building on fire: the most evident measurement for the exposure is the evacuation time. But experience learns that the fire propagation in a building is not a uniform phenomenon and that rapid fire spread is the major reason for fire victims. This means that to evaluate correctly the exposure of people, evacuation time and fire propagation shall be jointly considered. In FRAME this results in the formula: A1 = {1.6 a} - ( t + r ) The most significant factor for fire spread is the presence of ignitable surfaces, mostly building finishing and packaging materials. This is the reason why FRAME uses an r-factor, calculated with the immobile fire load Qi (building materials) and the combustibility factor M (for the surface conditions). The evacuation time shall be calculated for the actual conditions of the compartment and its occupants. The t-factor in FRAME does this, considering the whole path from the most remote corner of the compartment to the outside of the building, the capacity of the occupants to move, and the compression effect when too much people use the same path. The formula is derived from scientific evidence on evacuation speed (ref. Engineering Handbook, indicates speed S = k - a k D.). The p-sub factor increases the total evacuation time for unfavourable conditions, such as lack of awareness, reduced mobility and confusion. One additional consideration that has be been built in FRAME is the fact that multiple death accidents are considered to be far more unacceptable than single death situations. Some researchers in social behaviour claim that the risk acceptance is reduced by the square value of the number of possible deaths. Multiple deaths in a fire are likely to occur where long evacuation times come together with rapid fire spread. The combined values of high t- and r-factors will result in a value of A <1, which means an increase in fire risk. In such situations, protective action must be taken to counteract the exposure; the effect of such action is reflected by the value of U, the escape factor. Exposure for propertyTo measure the exposure for property, FRAME uses basically the monetary value of the property, transformed in the c2-factor. A similar approach exists in the insurance industry where an additionally premium is asked for high value properties. This practice is unusual for property values below 7 to 8 million Euro / US Dollar, which is also the lower limit used by FRAME. A correction is added to reflect the uniqueness of the content by the c1-factor.An additional consideration made in FRAME is the fact that fire brigades will give priority to saving the occupants before starting large fire extinguishing operations. This means that lengthy evacuation will in fact increase the exposure for the property. The result is the formula: A = {1.6 a} - (t + c1 + c2) Exposure for the activities.An often-neglected aspect of fire risk is the business interruption potential. In fact, code requirements do not consider at all the impact of a fire on the economic life of a building. In the past, mostly insurance companies and corporate risk managers were concerned about it. Fire was easily accepted as a fortuitous event (an act of god), business interruption insurance was optional, unemployment after a fire was not a social issue. Risk managers have spent a great deal of their efforts to bring business continuity after fire in the picture, and more recently authorities have become more concerned about the impact of fire on vital constructions such as major hospitals, power plants, ministries, road tunnels etc.FRAME deals with this aspect of exposure in the following way. The duration of a fire is less important for its impact on the activities, as even a partial fire can stop an activity for several months, particularly if toxic combustion products like dioxins would be generated. Because of this "partial fire" consideration, the fire load factor q was not retained in the potential risk P2, as well as the correspondingly most effective protection (fire resistance) F for the protection degree D2. The most evident elements for assessing the impact on a fire are also the monetary loss and the uniqueness of the content, so the c-factor is maintained. The evacuation time is not important for this issue. In reality, it appears that large losses in storage buildings do not have a big impact on business interruption, but that fires in controlling areas and bottleneck installations are very critical. A measure for this was found in the "added value/ turnover" ratio, used as d-factor. It gives a good indication of the dependency of an activity on a certain location. The result of these considerations is the formula: A2 = {1.6 a} - (c1 + c2 + d) An increased exposure for the activities can be compensated by a general improved fire protection, but also by specific local protection systems for bottleneck operations and by organisational measures to reduce dependency from one location, to relocate the business or to speed up restarts. These considerations are the basis for the specific formula for D2 = N.W.S.Y. Risk distribution.The general KINNEY formula:
{ Sev * Poc * Exp < C} gives the impression that there is a constant level of acceptable risk. This is
not entirely true, as the values used to define the components Sev, Poc and Exp are defined on a non-linear scale. But even in comparable risk situations, the expression for the risk level should be modulated to reflect individual differences.
It means that instead of a constant acceptable limit of risk, there should be a modulated limit, linked to identifiable ignition sources. Risk aversion People do not like high severity risks even with low probabilities. This risk aversion is the basis for the whole insurance industry. By buying an insurance policy, the owner a a building transforms a high severity / low probability loss ( my house being destroyed by a fire) into a high probability / low severity loss : I have to spent every year a bit of my money on insurance premiums. A pure logarithmic risk calculation formula would be a sum of log values: "log Sev + log Poc £ Log C - log Exp " and not a division as in the FRAME formula R = P/D.A. However, by choosing for FRAME probability parameters values in the range around 1 , combined with an expression of the type "log Severity(Q) + Correction" x Probability Modulation, a risk value scale is built where minor risks are slightly underestimated and higher risks overestimated, which corresponds with the risk aversion phenomenon. This difference between a pure log based risk scale and the (1 + log ) scale is given in the following table, which illustrates the value changes by both formulas:
This modified formula avoids negative values for R, which would hurt the users’ need to express the risk on a positive growing scale. Furthermore preventive actions, such as avoiding ignition sources, have a greater risk reducing effect than adding a high level of protection. taken fully into account, which is an additional precaution. As preventive measures are in most cases more economical than protection systems, this feature of "FRAME" pushes the user to the more profitable design alternatives . Risk value expression.The expression of the fire risk on a numerical scale is very much a convention, in the same way as using metric or American units for the characteristics of a building. In the KINNEY method risk values vary between 0.05 and theoretically 10.000 (a continuous threat of catastrophe). Why does
FRAME (and its predecessor Gretener) use a scale that locates the value of the risk in a range around 1? Conclusion.The purpose of this note was to explain how the formulas of FRAME are based as far as possible on scientific knowledge, where available, but necessarily also on reasoning and experienced guesswork and equilibration by trial and error. The aim was to have a fire risk assessment tool that reflects the state of knowledge in fire safety with sufficient detail and built-in precautions to obtain reliable conclusions. Numerous test calculations support the conclusion that FRAME risk assessment calculations comply with the available scientific knowledge and the experience of experts. The application of FRAME to real fire cases (see at : Examples) shows eventually that reality unfortunately validates the calculations.
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