Fire Risk Research Articles

Dynamic planning of crowd evacuation path for metro station based on Dynamic Avoid Smoke A-Star algorithm

Considerable casualties can easily be caused once a fire occurs in a metro station, and a safe and effective evacuation path in time should be provided, taking on critical significance in the rapid evacuation of the crowd. In existing research, crowd evacuation paths have been generally planned without considering the fire environment and the real-time effect of fire products on the evacuation paths, such that the planned paths do not fit the realistic environment of crowd evacuation. An algorithm is proposed in this study to dynamically plan evacuation paths in fire scenarios in metro stations. First, the equivalent length of the path under the effect of fire on evacuation speed is determined in accordance with the effects of ambient temperature, visibility, and CO concentration, and then the fire risk model is built. Second, the fire risk model is incorporated into the A-Star algorithm, and the evaluation function of the A-Star algorithm is optimized, such that the determined path is capable of avoiding areas with higher fire risk. Subsequently, a dynamic update mechanism considering time factor is introduced to update the search environment information data of the algorithm in real time for dynamic path planning, with the aim of coping with the dynamically changing fire environment. Lastly, the A-Star algorithm is optimized, and the Dynamic Avoid-Smoke A-Star (DASA-Star) algorithm is built. As indicated by the simulation results, the DASA-Star algorithm is capable of making a trade-off between the fire risk and geometric length of the path in an underground station fire scenario and achieving dynamic planning of evacuation paths based on FDS fire simulation results. Accordingly, the algorithm conforms to the real-time requirements of path planning under fire conditions, and it is capable of more effectively planning the optimal evacuation path under the effect of fire.

Fire risk vulnerability and safety assessment of Farmgate area using fire risk index, Dhaka City and optimization of fire hydrant placement

This research addresses fire safety and assesses the vulnerability to fire hazards in the Farmgate area of Dhaka city employing Fire Risk Index (FRI) methodology. 16 key factors were identified from a comprehensive field survey for each building undergoing rigorous analysis for calculation of FRI value through weighting and scoring of each factor. The FRI values are divided into 5 grades of very high, high, moderate, low, and very low with a higher FRI value indicating better fire safety. The data analysis indicates that among all structures, 0.59 % exhibited a very high FRI, 5.35 % showed a high FRI, 17.24 % displayed a moderate FRI, 48.89 % had a low FRI, and 27.93 % had a very low FRI. Geographic Information System (GIS) tools were employed to spatially to optimize fire hydrant placement using data integration and strategic analysis in high-risk areas. By ensuring efficient resource utilization, this research aims to implement fire prevention approaches and serve as a foundational resource for stakeholders, including landowners, residents, and policymakers, to fortify risk awareness and improve overall fire safety protocols. Ultimately, this research aims to foster resilient urban environments, improving disaster preparedness not only in Dhaka but also in similar high-risk areas worldwide.

The effect of fire-wall distance on the flame attachment characteristics and flame height of near-wall fires

Near-wall fires happen frequently in buildings and may ignite the solids on the wall, leading to a rapid spread of fire. A series of experiments and numerical simulations were conducted on near-wall and free (the same as that of near-wall fire source after mirroring) fires using propane and methane as the fuel to investigate the effect of the wall on flame attachment properties and flame height. The presence of a wall decreases the degree of turbulence for downstream flame and influences the velocity and temperature evolutions due to the no-slip and impermeability conditions. Due to the asymmetric evolution of vortices, intermittent flame attachment emerges at a certain downstream location and is intensified with decreasing fire-wall distance. The upper attachment limit increases with the heat release rate, however, the dependence of the lower attachment limit on the heat release rate is related to the fire-wall distance. The flame attachment probability increases with the aspect ratio of the gap between the fire source and the wall. Grashof number is a suitable parameter to correlate the flame attachment parameters of near-wall fires, including flame attachment limit, length and probability. The flame height increases with decreasing fire-wall distance and is 17.8%∼46.5% higher than that of free fires. By defining a dimensionless heat release rate incorporating the flame attachment probability, a unified model was built to predict the flame height of near-wall and free fires. The data and models are expected to be useful for evaluating the risk of early-stage near-wall fires.

Fire safety performance of functional vegetated green building systems: A comprehensive review

The rapid growth of the urban population and the increasing energy consumption of buildings due to global urbanization have led to a significant environmental impact. Therefore, energy conservation, emission reduction, and the adoption of green and low-carbon practices have become the focus of the transformation of construction industry in response to energy shortages and greenhouse gas emissions. This paper focuses on the use of functional green building technologies, specifically the integration of plant microbial fuel cell (PMFC) systems into green building systems, to regulate the indoor and outdoor thermal environment, mitigate the negative effects of urbanization, and enhance building energy efficiency. However, the incorporation of vegetation structures in green building systems significantly increases the risk of fire, necessitating a thorough evaluation of the fire safety system. This paper introduces the working mechanism of functional green building systems with energy harvesting capabilities by PMFC technique, the benefits they bring to the residential environment, and their impact in regulating indoor and outdoor thermal environments while improving building energy performances. Moreover, this paper discusses potential fire hazards caused by vegetation, electrical wire, curtain wall glass, and system layout in PMFC systems. It proposes methods and future research directions to improve safety levels. The paper presents ideas for developing resource-saving and environmentally friendly functional green building systems based on the principles of sustainable development and energy harvesting technology.

Strategic insights of imparting flame retardancy into nano-cellulosic materials: A review

Nanocellulose (NC) is a biomaterial with prospective use as a futuristic material. NC-based materials have several diverse uses, and their demand is growing every year. However, because of their highly flammable nature, the use of NC in harsh settings is greatly restricted. Hence, it is crucial to minimize the risk of fire caused by NC-based materials to maintain a superior level of performance. To diminish the inherent flammability of these substances, flame-retardant elements are often added as additives to produce flame-retardant nanocomposites. Hence, in this review, we have provided a comprehensive summary of the characteristics of NC and the principles and categorization of flame retardants. Subsequently, we have discussed the methods used for the synthesis and characterization of NC-based flame-retardant materials. It also delves into the historical progressions in these materials, intending to enhance the ability to resist flames. The article investigates the fire resistance properties of several materials based on NC, including aerogels, coatings, films, and textiles. The objective of this review is to provide a comprehensive analysis of the future directions and advancements in multi-functional flame-retardant NC materials, with a focus on their potential applications in harsh situations.

Pyrolysis modelling of insulation material in coupled fire-structure simulations

This paper presents a modelling approach to predict the thermodynamical and thermomechanical behaviour of structures with a layer of insulation material under fire, which takes into account the pyrolysis of the insulation and its effects on the structure. First, an existing 1D pyrolysis model is implemented and verified by theoretical and validated by experimental results. Then the model’s 1D setup is integrated into 3D Heat Transfer (HT) analyses of structures. The obtained thermodynamical results, i.e. temperatures as a function of time and the pyrolysis process, are transferred to a thermomechanical Structural Response (SR) analysis. Mechanical results are then obtained via temperature and pyrolysis-dependent material properties. The resulting HT and SR analyses are demonstrated in fire-structure simulations of facades made of sandwich panels, including their supporting frames with steel sections, and bolt and screw connections, modelled by non-linear spring elements. It is shown that in a short time window of 100 s, pyrolysis is limited to certain zones of the panel and for limited depths. Nevertheless, due to the endothermic process, it reduces expansion and bending of the panels, and consequently results in smaller displacements, and delayed failure of the connections. For longer periods, with connection failures neglected, significant pyrolysis takes place, which influences the temperature distribution in the complete interior of the sandwich panel. However, this has only a marginal effect on the structural behaviour. In conclusion, pyrolysis effects are relevant, can be modelled, and may somewhat reduce fire risks in structures. Future research can combine pyrolysis with advanced modelling of bolt and screw connections, using a two-scale method. As such, all relevant details of structures can be modelled and investigated for different fire scenarios, including fire-structure effects, all still to be validated by experiments.

Experimental and numerical study on fire development process and fire risk assessment of historic timber lounge bridges

AbstractHistoric timber lounge bridges are precious architectural heritages. But they are sensitive to fire. In order to obtain an adequate understanding of the fire vulnerability of historical timber lounge bridges for their better conservation, this paper proposes a framework based on experiment and computational fluid dynamics (CFD) analysis. Dengyun Bridge, a typical timber lounge bridge with cantilever beams, was chosen to carry out study on the fire development process and fire risk assessment. Firstly, the structural form and fire loads of the bridge were obtained by conducting on-site survey, and then a complex pyrolysis model of ancient wood was established in the Fire Dynamic Simulator (FDS) according to the pyrolysis characteristic of the ancient wood replaced from the bridge during its renovation. Secondly, the fire development process in Dengyun Bridge was simulated and four crucial fire events were defined. Finally, the comprehensive fire risk index for the Dengyun Bridge under those fire events was calculated by applying the Analytic hierarchy process (AHP) and Entropy method, and some mitigation and prevention strategies were discussed accordingly. The obtained results indicated that the flashover point was a boundary of fire development. After the flashover, the comprehensive fire risk index increased and reached its peak value rapidly. In the 1084 s (peak heat release rate), the comprehensive fire risk index was about 1.7 times of that in 847 s (flashover point). Mitigation strategies, such as the flame-retardant treatment and water-mist extinguishing system, were proved to be effective to retard the developed fire. The results of this study can provide a scientific basis for fire risk assessment and conservation of inherited timber lounge bridges.

Integrating Multi-Source Remote Sensing Data for Forest Fire Risk Assessment

Forest fires are a frequent and destructive phenomenon in Southwestern China, posing significant threats to ecological systems and human lives and property. In response to the growing need for effective forest fire prevention, this study introduces an innovative method for predicting and assessing forest fire risk. By integrating multi-source data, including optical and microwave remote sensing, meteorological, topographic, and human activity data, the approach enhances the sensitivity of risk models to vegetation water content and other critical factors. The vegetation water content is derived from both Vegetation Optical Depth and optical remote sensing data, allowing for a more accurate assessment of changes in vegetation moisture that influence fire risk. A time series prediction model, incorporating attention mechanisms, is used to assess the probability of fire occurrence. Additionally, the method includes fire spread simulations based on Cellular Automaton and Monte Carlo approaches to evaluate potential burn areas. This combined approach can provide a comprehensive fire risk assessment using the probability of both fire occurrence and potential fire spread. Experimental results show that the integration of microwave data and attention mechanisms improves prediction accuracy by 2.8%. This method offers valuable insights for forest fire management, aiding in targeted prevention strategies and resource allocation.

Impacts of climate change and deforestation on fire risk in the Amazon basin

Fires in the Amazon rainforest are a result of anthropogenic activity in the region. As the Amazon rainforest becomes vulnerable to fire through deforestation and climate change, it is imperative to understand how the fire risk will change in future years—not only for the potential of the forest to become a source of carbon to the atmosphere if burned but also for the potential loss of unique biodiversity and its critical role in regional and global climate. Therefore, we used the Eta regional climate model driven by 3 global climate models to simulate 2 distinct scenarios: one with a high CO2 emission (RCP8.5-DEF15) path and another with a high CO2 emission path and the total deforestation of the Amazon rainforest (RCP8.5-DEFTOT). Combining the multi-model ensemble of temperature and precipitation, we calculated the Keetch-Byram Drought Index (KBDI) and analyzed the results for the dry and wet seasons. In both scenarios, precipitation is reduced and maximum temperature increased. The greatest changes occur during the dry season and with the RCP8.5-DEFTOT scenario. In RCP8.5-DEF15, the KBDI is greatly affected, showing positive anomalies in both seasons. With the addition of deforestation, the fire risk is further exacerbated, thus highlighting the role of the forest in suppressing optimal conditions for fire. Additionally, more than half of the basin area is predicted to experience a high risk of fire in extreme years. Our results emphasize the importance of reducing global emissions and deforestation of the Amazon, given that fire activity could threaten the future of the Amazon rainforest.

Micro-Incubator Protocol for Testing a CO2 Sensor for Early Warning of Spontaneous Combustion

A protocol for detecting the potential occurrence of spontaneous combustion (SC) in stored cottonseeds and peanuts using a micro-incubator is described. The protocol indicates how to quantify CO2 production rates and final CO2 levels in wet versus dry cottonseed and peanut samples, which can provide crucial data for the early detection of SC risk in storage facilities. The experimental design utilizes a micro-incubator to simulate conditions found in large bulk crop storage. Parameters monitored include CO2 concentration, temperature, and relative humidity. The protocol includes preparation methods, experimental procedures for both control (dry) and wet seed tests, and test termination criteria that allow for safe experimentation of likely pathogenic fungi. The protocol has three replicates for wet and dry conditions. The protocol is intended to facilitate future experimental studies and ultimately contribute to the development of a consistently reliable early warning fire detection system for SC in cottonseed and peanut warehouse facilities. A consistently reliable fire detection system would address a critical need in the cotton and peanut industry for improved fire risk management and insurability of storage facilities.

Estimation of Understory Fine Dead Fuel Moisture Content in Subtropical Forests of Southern China Based on Landsat Images

The understory fine dead fuel moisture content (DFMC) is an important reference indicator for regional forest fire warnings and risk assessments, and determining it on a large scale is a critical goal. It is difficult to estimate understory fine DFMC directly from satellite images due to canopy shading. To address this issue, we used canopy meteorology estimated by Landsat images in combination with explanatory variables to construct random forest models of in-forest meteorology, and then construct random forest models by combining the meteorological factors and explanatory variables with understory fine DFMC obtained from the monitoring device to (1) investigate the feasibility of Landsat images for estimating in-forest meteorology; (2) explore the feasibility of canopy or in-forest meteorology and explanatory variables for estimating understory fine DFMC; and (3) compare the effects of each factor on model accuracy and its effect on understory fine DFMC. The results showed that random forest models improved in-forest meteorology estimation, enhancing in-forest relative humidity, vapor pressure deficit, and temperature by 50%, 34%, and 2.2%, respectively, after adding a topography factor. For estimating understory fine DFMC, models using vapor pressure deficit improved fit by 10.2% over those using relative humidity. Using in-forest meteorology improved fits by 36.2% compared to canopy meteorology. Including topographic factors improved the average fit of understory fine DFMC models by 123.1%. The most accurate model utilized in-forest vapor pressure deficit, temperature, topographic factors, vegetation index, precipitation data, and seasonal factors. Correlations indicated that slope, in-forest vapor pressure deficit, and slope direction were most closely related to understory fine DFMC. The regional understory fine-grained DFMC distribution mapped according to our method can provide important decision support for forest fire risk early warning and fire management.

Correction to “Evaluating Fire and Smoke Risks with Lithium-Ion Cells, Modules, and Batteries”

Correction to “Evaluating Fire and Smoke Risks with Lithium-Ion Cells, Modules, and Batteries”

Ignition Characteristics and Flame Behavior of Automotive Lubricating Oil on Hot Surfaces

Hot surfaces in industrial processes and automotive systems present a remarkable fire hazard. Lubricating oil is a widely used oil in these scenarios. Quantifying the ignition characteristics and flame behavior of lubricating oil on hot surfaces is critical for enhancing fire safety in energy-related applications. This paper utilizes a self-developed experimental platform for the hot surface ignition to systematically conduct combustion tests on lubricating oil with varying volumes at different surface temperatures. Through statistical analysis and image processing, the ignition temperature, flame height, flame propagation velocity, and flame temperature were examined to assess the fire risk of a hot surface ignition. The results demonstrate that the ignition and combustion process of lubricating oil on hot surfaces can be categorized into five stages. The ignition temperature decreases as the oil volume increases. The flame height and flame propagation velocity are positively correlated with the hot surface temperature. The maximum flame height increases with the increase in the oil volumes. When the flame height reaches the maximum value, the flame area is the largest, and the average flame temperature is 1540.30 °C, showing a greater fire risk. When the oil content is 0.2 mL, the flame propagation velocity is the fastest, reaching 3.81 m/s. Meanwhile, the flame is very close to the oil pipe, which may cause a secondary fire. Therefore, hot surface ignition of lubricating oil poses a direct threat to vehicle safety.

ASSESSMENT OF THE PROBABILITY OF OCCURRENCE OF EMERGENCY SITUATIONS DURING OPERATION OF THE PYROLYSIS PLANT

The article discusses the issues of reliability and safety of operation of a pyrolysis plant for the disposal of used tires, which, in the context of an increasing volume of waste and the need for their effective disposal, is an urgent topic. The problem statement is related to the identification of factors affecting the reliability of the installation and the development of methods to prevent emergencies.The purpose of the study is to analyz the reliability of the pyrolysis plant and develop recommendations for its improvement. To achieve this goal, the causes and probabilities of failures of system elements are investigated, an analysis using the failure tree method is carried out. This method made it possible to identify the weaknesses of the system and assess the probability of their failures, which is critical to prevent emergencies.An assessment of the reliability of the installation showed that the greatest contribution to the probability of accidents is made by a malfunction of the gas separation system. This element is the most vulnerable due to its complexity and importance in the pyrolysis process, as it is responsible for the safe and effective separation of pyrolysis products. Any malfunction of the gas separation system can lead to the accumulation of dangerous gases, increasing the risk of explosions and fires. The identified emergencies require special attention to the development of effective measures to minimize them.The article proposes methods to improve the reliability of the system, the main of which is the redundancy of the most vulnerable elements. This will significantly reduce the probability of failures and increase the overall reliability of the installation. In addition, it is recommended to carry out regular inspections and maintenance of all elements of the system. These measures will help to identify and eliminate potential malfunctions in a timely manner, which will significantly reduce the likelihood of failures that can lead to emergencies.Thus, ensuring the reliability and safety of a pyrolysis plant for the disposal of used tires requires an integrated approach. Enabling redundancy of vulnerable elements and regular maintenance will minimize the likelihood of failures that can lead to emergencies and guarantee stable and safe operation of the system. These measures will not only increase the efficiency of disposal, but also ensure reliable and long-term operation of the installation.This article focuses on the importance of identifying vulnerable elements of the system and conducting regular maintenance to improve the reliability and safety of operation of the pyrolysis plant.

FORECASTING FIRE RISK VALUES USING MACHINE LEARNING AND TIME SERIES ANALYSIS

The probability of occurrence of emergencies and their consequences can be minimized by predicting events that contribute to the emergence of such a situation. An optimal and useful tool for such prediction and forecasting can be modeling, which can be carried out on the basis of information technology using computer programs.The methods of modeling and forecasting emergencies related to fires are the same as for other emergencies, but there are some specifics. The forecast of emergencies related to fires is aimed at three main stages: 1. forecasting the probability of occurrence with the determination of the place of the highest probability of fire occurrence, time and factors contributing to it; 2. forecasting the development of the situation and the spread of the fire (direction, speed) when it occurs, the process itself; 3. forecasting the consequences of a fire at a specific facility.The forecast is made based on the analysis of all possible unfavorable factors, their fields of action, features of the facility, its fire hazard and other data.The use of machine learning methods and time series analysis for forecasting fire risk values is substantiated. The possibility of using statistical methods of mathematical modeling of fire occurrence as the basis of the machine learning model is noted. This approach enables the machine learning model to process and analyze a large amount of statistical information for specific time periods and issue forecasts.

Assessment of Fire Safety Preparedness and Risk Management in Caleb University Hostels

Fire safety in university hostels is a critical concern, particularly in developing countries where resources and awareness may be limited. This study evaluates the effectiveness of fire safety measures in student hostels at Caleb University, Lagos, highlighting the current state of fire safety protocols and identifying areas for improvement. Employing a descriptive research design, the study gathered data from 329 respondents, including students and hostel staff, through structured questionnaires and semi-structured interviews. The findings reveal that while basic fire safety measures such as fire extinguishers are present, awareness and confidence in fire safety protocols among students are alarmingly low. A significant percentage of respondents (61.8%) expressed doubts about the effectiveness of existing measures, and only 6.7% reported participating in fire drills or training sessions. Furthermore, the study identified critical weaknesses in the current fire safety protocols, with 56.8% of students having experienced fire-related incidents during their residence. The research underscores the necessity for regular fire safety training, improved equipment maintenance, and enhanced communication of emergency procedures to ensure the safety and preparedness of hostel occupants. Recommendations include implementing mandatory fire drills, increasing the number of safety equipment, and collaborating with local fire authorities to develop comprehensive fire safety programs. This study contributes to the existing literature on fire safety in university settings and emphasizes the need for effective strategies tailored to the unique challenges faced by educational institutions.

Prominent Increase in Air Temperatures on Two Small Mediterranean Islands, Lastovo and Lošinj, Since 1998 and Its Effect on the Frequency of Extreme Droughts

The article analyzes the development of air temperatures and precipitation on two remote islands in the Adriatic Sea from 1961 to 2023, examining annual and monthly time scales. Lastovo Island is located in the southern Adriatic, and Lošinj Island is situated 277 km north, and both exhibit a sharp rise in air temperatures since 1998, though precipitation series show no significant trends of an increase or decrease. Using the New Drought Index (NDI) method, this study calculated drought intensities for the period 1961–2023. The analyses conducted in this study undoubtedly indicate a rising frequency and intensity of droughts, with severe droughts doubling and extreme droughts increasing fourfold in the recent period (1998–2023) compared to the previous one (1961–1997). The most pronounced increase in severe and extreme droughts occurs specifically from June to August. This trend is likely applicable to many small Mediterranean Islands, which number over 10,000 and have a permanent population of more than 1.6 million people, with numbers significantly rising during the tourist season. The increased water demand for agriculture and daily use, combined with increased drought risk, not only exacerbates the potential for forest fires but also threatens social structures and ecological conditions. This is particularly critical as the combination of drier conditions and increased fire risk poses a significant challenge, endangering natural landscapes and valuable historical sites that are integral to the islands’ identity and heritage. This study’s findings indicate a dangerous trend likely to persist and worsen with continued increases in air temperatures in the Mediterranean region.

Molecular level analysis of the influence of natural biomaterials on aviation flame retardant performance

The use of natural biomaterials in flame retardant formulations as sustainable alternatives has gained significant interest in recent years. Given the high-risk environment in which airplanes operate, aviation safety remains a top priority. Flame retardants (FRs) are crucial for preventing or reducing the spread of flames in flammable materials used in aircraft construction and interior furnishings, thus mitigating fire risks. This study aims to analyze the molecular-level influence of natural biomaterials on aviation flame retardant performance, with a focus on lignin. Lignin, a natural polymer derived from plant cell walls, offers an environmentally friendly alternative to conventional synthetic flame retardants. Lignin-based composites can be applied to various aircraft components, such as wings and fuselage. The study employs Fourier Transform Infrared Spectroscopy (FTIR), X-ray photoelectron spectroscopy (XPS) and Nuclear Magnetic Resonance (NMR) to investigate the molecular interactions of these biomaterials. Additionally, to assess thermal stability and degradation, Thermo-gravimetric Analysis (TGA) is utilized. The results indicate that lignin enhances flame retardancy by promoting the formation of a protective char layer and improving thermal stability. This research also provides insights into the molecular mechanisms underlying lignin’s effectiveness as a flame retardant and explores its potential in developing high-performance aircraft flame retardants.

Projected changes in forest fire season, the number of fires, and burnt area in Fennoscandia by 2100

Abstract. Forest fire dynamics are expected to alter due to climate change. Despite the projected increase in precipitation, rising temperatures will amplify forest fire risk from the present to the end of the century. Here, we analysed changes in fire season, the number of fires, and burnt area in Fennoscandia from 1951 to 2100. Regional simulations from the JSBACH–SPITFIRE ecosystem model (where SPITFIRE stands for SPread and InTensity of FIRE) were performed under two climate change forcing scenarios (Representative Concentration Pathway (RCP) 4.5 and RCP 8.5) and three global climate driver models (CanESM2, CNRM-CM5, and MIROC5) with a 0.5° resolution. Simulations were forced by downscaled and bias-corrected EURO-CORDEX data. Generally, as a consequence of the projected longer fire season and drier fuel, the probability of fires is projected to increase. However, changes in fire season, the number of fires, and burnt area are highly dependent on climate projections and location. The fire season is estimated to increase on average from 20 ± 7 to 52 ± 12 d, starting from 10 ± 9 to 23 ± 11 d earlier and ending from 10 ± 10 to 30 ± 16 d later, compared to the reference period (1981–2010), by the end of the century (2071–2100). The results for Finland indicate a change in the number of fires, ranging from −7 ± 4 % to 98 ± 56 %, and a change in burnt area, ranging from −19 ± 24 % to 87 ± 42 %. These findings contribute to a better understanding of potential changes in the future fire seasons of northern Europe.

Service-life multi-hazard risk assessment of structures: framework and application

Fragility and risk assessment of civil engineering structures against various design loads and their combinations need to be conducted to evaluate structural vulnerability. This is typically done at the design stage. However, during the service (design) life, it is important to investigate the change (increase) in the risk posed to the structure on account of multiple hazards. This article discusses a holistic novel framework that considers aging effects in addition to major or minor structural damage resulting from independent hazards. The framework is illustrated for independent action of earthquake and fire hazards on reinforced concrete (RC) buildings with varied occupancies while considering continuous structural deterioration on account of chloride- and carbonation-induced corrosion over a building’s service life. The change in the structure’s performance in the fire over its service life, in terms of incident risk and the resistance period, is evaluated for a combination of environmental effects and multi-hazard effects of earthquake and fire. The results from this study indicate that there is a significant increase in the risk of post-earthquake fire if continuous structural degradation due to environmental factors and minor damage due to earthquakes is not addressed.