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Forests too thick with fuels that are too continuously spread to resist fire are common throughout the west. After a century or more of actively working to suppress fire across the landscape, we now recognize that fire is a part of our forests, shrublands, and range, and that it will come whether we wish it or not. At last, managers must realize forests cannot be fire-proofed (DellaSala, Williams, Williams, & Franklin, 2004). We must work with fire rather than against it.

The purpose of this paper is to present the development and implementation of a qualitative, code-compliance framework for property managers of student housing facilities.

The paper identified the fire safety code requirements for student housing facilities and arranged these requirements in the form of a checklist, which was further validated by professional experts. Additionally, the paper presented an IDEF₀ (Integrated Definition for Function Modeling) framework model that illustrates a stepwise process for the deployment of the checklist. A case study was conducted on three similar student housing facilities in a university campus to demonstrate the application of the framework. Furthermore, the findings from the case study were reported along with recommendations to improve the degree of compliance with the requirements of fire safety codes.

The developed framework was validated by professional experts and through a case study. Fire safety provisions were mostly found to be adequate in the case study building. The authors proposed several actions to improve the current status of fire safety in the building.

The paper serves to disseminate awareness about the occurrence of fires, their severe consequences and precautionary measures in student housing facilities. It also provides a standardized checklist for ease of use by property managers who may be unable to understand the technical terminologies found in fire safety codes and standards. Thus, the developed framework is of tangible value to property managers, building specialists and student housing administrators.

Peat swamp forest fire hazard areas were identified and mapped by integrating GIS‐grid‐based and multi‐criteria analysis to provide valuable information about the areas most likely to be affected by fire in the Pekan District, south of Pahang, Malaysia. A spatially weighted index model was implemented to develop the fire hazard assessment model used in this study. Fire‐causing factors such as land use, road network, slope, aspect and elevation data were used in this application. A two‐mosaic Landsat TM scene was used to extract land use parameters of the study area. A triangle irregular network was generated from the digitized topographic map to produce a slope risk map, an aspect risk map and an elevation risk map. Spatial analysis was applied to reclassify and overlay all grid hazard maps to produce a final peat swamp forest fire hazard map. To validate the model, the actual fire occurrence map was compared with the fire hazard zone area derived from the model. The model can be used only for specific areas, and other criteria should be considered if the model is used for other areas. The results show that most of the actual fire spots are located in very high and high fire risk zones identified by the model.

This study investigates the impact of the fire decay phase on structural damage using the sectional analysis method. The primary objective of this work is to forecast the non-dimensional capacity parameters for the axial and flexural load-carrying capacity of reinforced concrete (RC) sections for heating and the subsequent post-heating phase (decay phase) of the fire.

The sectional analysis method is used to determine the moment and axial capacities. The findings of sectional analysis and heat transfer for the heating stage are initially validated, and the analysis subsequently proceeds to determine the load capacity during the fire’s heating and decay phases by appropriately incorporating non-dimensional sectional and material parameters. The numerical analysis includes four fire curves with different cooling rates and steel percentages.

The study’s findings indicate that the rate at which the cooling process occurs after undergoing heating substantially impacts the axial and flexural capacity. The maximum degradation in axial and flexural capacity occurred in the range of 15–20% for cooling rates of 3 °C/min and 5 °C/min as compared to the capacity obtained at 120 min of heating for all steel percentages. As the fire cooling rate reduced to 1 °C/min, the highest deterioration in axial and flexural capacity reached 48–50% and 42–46%, respectively, in the post-heating stage.

The established non-dimensional parameters for axial and flexural capacity are limited to the analysed section in the study owing to the thermal profile, however, this can be modified depending on the section geometry and fire scenario.

The study primarily focusses on the degradation of axial and flexural capacity at various time intervals during the entire fire exposure, including heating and cooling. The findings obtained showed that following the completion of the fire’s heating phase, the structural capacity continued to decrease over the subsequent post-heating period. It is recommended that structural members' fire resistance designs encompass both the heating and cooling phases of a fire. Since the capacity degradation varies with fire duration, the conventional method is inadequate to design the load capacity for appropriate fire safety. Therefore, it is essential to adopt a performance-based approach while designing structural elements' capacity for the desired fire resistance rating. The proposed technique of using non-dimensional parameters will effectively support predicting the load capacity for required fire resistance.

The fire-resistant requirements for reinforced concrete structures are generally established based on standard fire exposure conditions, which account for the fire growth phase. However, it is important to note that concrete structures can experience internal damage over time during the decay phase of fires, which can be quantitatively determined using the proposed non-dimensional parameter approach.

The purpose of this paper is to investigate a set of preventive measures required for mitigating fire risks in big box retail facilities.

The paper identifies the potential sources of ignition and fuel in big box retail facilities. It describes the variety of hazardous situations commonly found in such facilities worldwide. The paper then endeavors to discuss the series of fire protection challenges that could be faced during fire emergencies. It also explores the challenges of evacuation and rescue in such mega store facilities.

Mega stores, distribution centers and large retail stores are amongst the most challenging occupancies from a fire protection perspective. Fires can occur in big box retail facilities at any time and from a number of causes. These facilities represent a type of occupancy that poses considerable challenges to both fixed fire suppression systems and fire departments in cases of fire emergencies. The paper also describes the responsibilities of building management staff towards their employees and the public. Facility managers should always seek proactive measures to reduce the risk of fire and fire spread in big box retail facilities. These measure include providing sufficient number and capacity of exits; clear exit access; efficient smoke detection systems; voice communication systems; and efficient automatic sprinkler systems.

This paper serves to increase the awareness about fire and its effects in mega store facilities. The paper provides practical value to property directors and facility managers responsible for the daily operations of mega store facilities and for surveyors inspecting such properties.

This study integrates high spatial resolution remote sensor data with geographic information system (GIS) data and multi‐criteria analysis to develop a methodology to model disaster risk for flood risk management and in peat swamp forest fires in order to assist in providing decision support systems for emergency operations and disaster prevention. Landslides are the result of a wide variety of processes, including geological, geomorphological and meteorological factors. Spatial technology has the ability to assess and estimate regions of landslide hazard by creating thematic maps and overlapping them to produce a final hazard map which classifies regions according to three categories of risk.

Light-Gauge Steel Frame (LSF) structures are popular in building construction due to their lightweight, easy erecting and constructability characteristics. However, due to steel lipped channel sections negative fire performance, cavity insulation materials are utilized in the LSF configuration to enhance its fire performance. The applicability of lightweight concrete filling as cavity insulation in LSF and its effect on the fire performance of LSF are investigated under realistic design fire exposure, and results are compared with standard fire exposure.

A Finite Element model (FEM) was developed to simulate the fire performance of Light Gauge Steel Frame (LSF) walls exposed to realistic design fires. The model was developed utilising Abaqus subroutine to incorporate temperature-dependent properties of the material based on the heating and cooling phases of the realistic design fire temperature. The developed model was validated with the available experimental results and incorporated into a parametric study to evaluate the fire performance of conventional LSF walls compared to LSF walls with lightweight concrete filling under standard and realistic fire exposures.

Novel FEM was developed incorporating temperature and phase (heating and cooling) dependent material properties in simulating the fire performance of structures exposed to realistic design fires. The validated FEM was utilised in the parametric study, and results exhibited that the LSF walls with lightweight concrete have shown better fire performance under insulation and load-bearing criteria in Eurocode parametric fire exposure. Foamed Concrete (FC) of 1,000 kg/m3 density showed best fire performance among lightweight concrete filling, followed by FC of 650 kg/m3 and Autoclaved Aerated Concrete (AAC) 600 kg/m3.

The developed FEM is capable of investigating the insulation and load-bearing fire ratings of LSF walls. However, with the availability of the elevated temperature mechanical properties of the LSF wall, materials developed model could be further extended to simulate the complete fire behaviour.

LSF structures are popular in building construction due to their lightweight, easy erecting and constructability characteristics. However, due to steel-lipped channel sections negative fire performance, cavity insulation materials are utilised in the LSF configuration to enhance its fire performance. The lightweight concrete filling in LSF is a novel idea that could be practically implemented in the construction, which would enhance both fire performance and the mechanical performance of LSF walls.

Limited studies have investigated the fire performance of structural elements exposed to realistic design fires. Numerical models developed in those studies have considered a similar approach as models developed to simulate standard fire exposure. However, due to the heating phase and the cooling phase of the realistic design fires, the numerical model should incorporate both temperature and phase (heating and cooling phase) dependent properties, which was incorporated in this study and validated with the experimental results. Further lightweight concrete filling in LSF is a novel technique in which fire performance was investigated in this study.

This article describes a series of full scale fire tests to evaluate and develop an on‐board cabin water spray system for use in post‐crash fires. The baseline system used for the study was the ‘SAVE’ system designed in the UK and and consisting of a large number of small nozzles, mounted through the aircraft ceiling, which discharge a fine water‐mist spray for a period of 3 minutes. The FAA test programme comprised two phases: (1) looking at effectiveness, potential benefits and the adverse effects of accidental discharge; and (2) addressing the optimisation of the system and the development of requirements and specifications.

The purpose of this paper is to report the results of spatiotemporal analysis of the 3,506 fire incidents in the city of Manila from 2011 to 2016.

A spatiotemporal and statistical analysis was carried out to determine the pattern of fire incidents in the city of Manila.

Fire incidence in Manila did not exhibit any pattern in terms of time, day of the week or month of the year. However, fire incidence did exhibit a pattern in terms of location. Faulty electrical connections are the major cause of fires throughout the year and throughout the 14 municipalities of Manila. Thus, the null hypothesis stating that spatiotemporal characteristics of cases of fire in the city of Manila do not exhibit a pattern is partially rejected.

Future studies may investigate the influence of building maintenance, government control, and cooking and cigarette-disposal behaviors on fire occurrence. It is recommended that the study be replicated in other cities of Metro Manila.

Based on the causes and the spatiotemporal characteristics of fires, stakeholders (e.g. government, Bureau of Fire Protection, local government units (LGUs), communities and residents) can be informed about how to prevent fires. LGUs and government agencies can utilize the findings of this study in developing fire prevention programs for the municipalities with the highest incidence of fires.

These findings can serve as a basis for policy formulation and as a reference for the allocation of fire prevention resources and for the literature on strategic planning for fire prevention in Manila.