A BIM-Based Solution for the Optimisation of Fire Safety Measures in the Building Design
2. Theoretical Background
2.2. Smoke Propagation
2.3. Fire Safety Measures
2.4. Application of BIM and Graph Theory in Fire Safety
2.5. Application of Optimization Methods in the AEC Industry
2.6. Binary Billiards-Inspired Optimization Algorithm (BBOA)
3. Proposed BIM-Based Framework Mechanism and Developed Plugin
- The initial framework and BIM plugin was developed based on a synthesis of the findings from the literature review.
- The binary version of the Billiards-inspired Optimisation Algorithm (BOA) is developed and utilised in the optimisation phase of the proposed framework.
- The proposed method was implemented and validated in an explorative case study in two projects. The findings from the implementation of this framework can be found in the Case Study section.
- The proposed framework is implemented in two case projects. The lead time sensitivity analysis is carried out to determine the appropriate lead time for each case project. Moreover, the effectiveness of the proposed approach was evaluated based on increasing the percentage of survived occupants using optimised fire safety measures effectively and economically in two case projects.
3.1. Phases List
3.2. BIM-Based Framework Description
3.2.1. Initial Preparation Phase
Manual and Automatically Calculated Inputs
Graph Extraction from BIM
3.2.2. Optimization Phase
Evaluation of Occupants’ Safe Evacuation Considering Smoke Propagation
3.2.3. Decision Making Phase
3.2.4. Finalization Phase
3.3. Assumptions Made in the Proposed Framework
- Process of occupants’ evacuation and smoke propagation are updated at each lead time, which is considered 0.5 s and 1.5 s for the hospital building and the residential building respectively.
- When occupants try to pass an entrance or passage that is not wide enough, they are stuck in queues and the required time for each occupant to pass a queue depends on the entrance or passage width and the density of occupants in there, which is considered in computations via equations in Table 1.
- All the doors are assumed to be open at the time of fire ignition and smoke can propagate between compartments. This assumption is particularly similar to the assumption of software packages such as CFAST.
- Costs of fire safety measures are presented in Table 3 according to the market:
- Population sizes of residential and hospital buildings for optimisation are considered 32 and 64, respectively.
4.1. Case Study
4.2. Lead Time Sensitivity Analysis
4.3.1. Evacuation Validation
4.3.2. Smoke Propagation Validation
4.3.3. BBOA Validation
4.4. Results of Applying the Framework to the Case Studies
4.4.1. Optimisation Results of Case Projects
4.4.2. Comparison of Individual Measures
- According to Table 4 and Table 5, without utilizing any fire safety measures, only 27.9% and 52.65% of occupants were able to evacuate from the residential and hospital buildings, respectively. Given the characteristics of the hospital building (e.g., two stairways, two main exits), the percentage of survival for the hospital building is more in comparison with the residential building. In the residential building, the only exit route of the building was quickly filled with smoke prohibiting occupants from evacuating the building. This finding emphasizes the number of main exits and generally exit paths outside of the building, which must be considered in complex public buildings.
- As can be seen in Figure 24, at the cost of €600, only self-closing fire doors are feasible. The optimised position of the self-closing fire doors prohibits the spread of smoke from each floor to the stairway (the evacuation route of the building). This can substantially increase the chance of occupants evacuating the building safely. Thus, this indicates the importance of using self-closing fire doors in the entrance of the main exit paths. This provides a safe exit path for occupants and consequently more available evacuation time.
- According to the budget limits, the proposed framework indicates that the initial rising trend in both cases plateaus for costs higher than €10,000. In other words, a 19% increase in the percentage of survival requires up to an 81% rise in expenditure (demonstrated in Figure 22 and Figure 23). This shows that spending about €10,000 for fire safety measures with their optimal positions in these buildings seems acceptable and economic.
- Until the cost limit surpasses €70,000, which is the infrastructure cost of sprinklers, no change in the percentage of survival is observed. At €95,970 budget, all the measures are utilised, and this results in a 94.55% survival. In this case, spending more than €11,750 is not economical anymore as it does not make any changes to the survival rate.
- Given the high infrastructure cost of sprinklers, sprinkler heads are not utilized in the building design until the cost limit surpasses €70,000.
- The results of the comparison of individual fire safety measures reveal that self-closing fire doors are the most economical and effective measures to hinder the smoke movement and increase the percentage of survival for these two case projects. The sprinklers play a critical role in diminishing the fire spread and smoke movement in the building to prevent high property losses. However, the required time for a sprinkler to be activated and extinguish the fire may be enough to produce a considerable amount of smoke. This leads to injuries of some occupants and threatens the safety of others by blocking their routes to the exits, especially in the residential building case projects.
- Existing studies use and assess fire safety measures in the building designs and also evaluate safe evacuation to examine effective factors on safe evacuation. However, this study implemented optimisation of fire safety measures to find sets of measures with optimal positions in the building design while considering all of the fire scenarios, which were not taken into account in the previous studies. Unlike existing literature, this research provides optimised fire safety measures with an optimised budget. It helps determine the most appropriate position for fire safety measures considering budget limits, which is a challenge for stakeholders.
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
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|This equation calculates the required evacuation time for occupants to reach the exit, where|
RSET (s) is required safe evacuation time
(s) and (s) depend on the alarm system
|(s) and (s) depend on occupants’ characteristics|
|(s) is the duration between start and end of occupants’ movement|
| (s) is the duration between start and end of occupants’ movement |
(s) is occupants’ travel time without queuing
(s) is time for passing a queue
|(m/s) is the Velocity of occupants|
| (persons/ ) is the density of occupants in a determined area|
k is constant
a is constant
| (s) is occupants’ travel time without queuing|
L (m) is the travel distance
(m/s) is the Velocity of occupants
| is specific flow (persons/s/m)|
(m/s) is Velocity of occupants
(persons/ ) is the density of occupants in a determined area
| is the occupant’s flow rate (persons/s)|
is the effective width of the passage (meters)
is specific flow (persons/s/m)
| is time for passing a queue (s)|
is the number of persons
|is the occupant’s flow rate (persons/s)|
|is the heat release rate of fire (kW)|
|is the time after fire starts flaming (s)|
|is growth time (s)|
|is limiting height (m)|
|is the convective part of the heat release rate (kW)|
|Qc= χ Q|| is the convective part of the fire’s heat release rate (kW)|
χ is a convective deduction
|z is the height from the bottom of the floor to the smoke stratum (m)|
is the mass flow rate in a plume at distance (kg/sec.)
|Ts is smoke stratum temperature (°K)|
To is environment temperature (°K)
is a deduction of convective heat release encompassed in the smoke stratum
is the specific heat of fume (1.0 kJ/kg-°K)
|V is the volumetric flow rate of smoke (m3/sec.)|
ρ is density of smoke (kg/m3)
| is atmospheric pressure (Pa)|
R is gas constant (287)
T is smoke’s absolute temperature (°K)
|Fire Safety Measures||Cost (€)||Reference|
|Sprinkler||70,000€ cost for the water reservoir and pumps + 180€ cost for each room|||
|Self-closing fire door||200€|||
|Actual Costs||Percentage of Survivors||Number of Self-Closing Fire Door||Number of Utilized Emergency Exit||Number of Utilized Sprinkler Head|
|Actual Costs||Percentage of Survivors||Number of Self-Closing Fire Door||Number of Utilized Emergency Exit||Number of Utilized Sprinkler Head|
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Sabbaghzadeh, M.; Sheikhkhoshkar, M.; Talebi, S.; Rezazadeh, M.; Rastegar Moghaddam, M.; Khanzadi, M. A BIM-Based Solution for the Optimisation of Fire Safety Measures in the Building Design. Sustainability 2022, 14, 1626. https://doi.org/10.3390/su14031626
Sabbaghzadeh M, Sheikhkhoshkar M, Talebi S, Rezazadeh M, Rastegar Moghaddam M, Khanzadi M. A BIM-Based Solution for the Optimisation of Fire Safety Measures in the Building Design. Sustainability. 2022; 14(3):1626. https://doi.org/10.3390/su14031626Chicago/Turabian Style
Sabbaghzadeh, Mahdi, Moslem Sheikhkhoshkar, Saeed Talebi, Mohammad Rezazadeh, Mohammad Rastegar Moghaddam, and Mostafa Khanzadi. 2022. "A BIM-Based Solution for the Optimisation of Fire Safety Measures in the Building Design" Sustainability 14, no. 3: 1626. https://doi.org/10.3390/su14031626