Fire TechnologyPub Date : 2024-07-26DOI: 10.1007/s10694-024-01615-8
Seyed Javad Mortazavi, Iman Mansouri, Alireza Farzampour, Eleni Retzepis, Jong Wan Hu
{"title":"Correction: Evaluation of the Fire Behavior of Low-Rise Eccentrically Braced Frame Structures Under Different Fire Scenarios","authors":"Seyed Javad Mortazavi, Iman Mansouri, Alireza Farzampour, Eleni Retzepis, Jong Wan Hu","doi":"10.1007/s10694-024-01615-8","DOIUrl":"10.1007/s10694-024-01615-8","url":null,"abstract":"","PeriodicalId":558,"journal":{"name":"Fire Technology","volume":"60 6","pages":"4101 - 4101"},"PeriodicalIF":2.3,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141798686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fire TechnologyPub Date : 2024-07-24DOI: 10.1007/s10694-024-01616-7
Amy J. Metz, Erica C. Fischer, Abbie B. Liel
{"title":"The Influence of Housing, Parcel, and Neighborhood Characteristics on Housing Survival in the Marshall Fire","authors":"Amy J. Metz, Erica C. Fischer, Abbie B. Liel","doi":"10.1007/s10694-024-01616-7","DOIUrl":"10.1007/s10694-024-01616-7","url":null,"abstract":"<div><p>This study develops random forest models to interrogate housing survival in the 2021 Marshall Fire, investigating the role of housing, parcel, and neighborhood characteristics. This grass fire affected suburban communities and destroyed more than 1,000 houses. The authors compiled a data set consisting of all the destroyed houses, along with damaged and standing neighboring houses. After removing houses with insufficient data, 1055 impacted houses were used to develop models for each of the three impacted jurisdictions and for the full data set of 1055 houses. In addition, model versions were developed that use only the subset of predictor characteristics available pre-fire. The pre-fire model results showed that the five housing characteristics that resulted in the largest increase in mean square error (MSE) when randomly permutated were predominantly neighborhood and parcel level characteristics. All predictors resulting in percent increases in MSE of 15% or greater were neighborhood level characteristics. Parcel and community characteristics encompass 78%, 86%, 100%, and 80% of predictors resulting in percent increase in MSE greater than 5% for the models developed for Louisville, Superior, Unincorporated Boulder County, and all data, respectively. Additionally, the identification of the most important parameters showed that the majority of the most impactful variables were not within the homeowner’s control. This conclusion demonstrates the importance of neighborhood and community characteristics on housing survival that are controlled by the jurisdiction, especially in a home rule state where building codes and planning may differ across jurisdictional boundaries. We found little reduction in model accuracy (%-change in balanced accuracy under 12%), when only pre-fire variables were considered. Taken together, these results suggest a crucial role for jurisdiction or community mitigation of risk in WUI areas.</p></div>","PeriodicalId":558,"journal":{"name":"Fire Technology","volume":"60 6","pages":"4065 - 4097"},"PeriodicalIF":2.3,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141772780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effect of Orientation of Test on Radiant Protective Performance of Outer Layer of Multilayer Thermal Protective Clothing","authors":"Sudhanshu Maurya, Apurba Das, Ramasamy Alagirusamy","doi":"10.1007/s10694-024-01601-0","DOIUrl":"10.1007/s10694-024-01601-0","url":null,"abstract":"<div><p>Thermal protective performance of protective clothing is greatly affected by structural parameters of fabric, air gap, and orientation of testing. This paper used Box-Behnken design experimental design to see the influence of pick density of shell (outer) layer, air gap, and orientation of test on thermal protective performance in terms of protection time. The testing was done at constant radiant heat flux. Thermal protective performance was measured in terms of second degree burn time using Stoll’s curve. The model showed F value of 72.98 and p-value 0.0001 which shows that model was significant. It was also found that there was significant effect of pick density, air gap, and orientation angle on thermal protective performance. There was positive effect of pick density and air gap but negative effect of orientation angle. This was also observed that effect of pick density was more when air gap increases. The study can help in development of thermal protective clothing for different parts of body.</p></div>","PeriodicalId":558,"journal":{"name":"Fire Technology","volume":"60 6","pages":"4045 - 4064"},"PeriodicalIF":2.3,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141772779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fire TechnologyPub Date : 2024-07-22DOI: 10.1007/s10694-024-01619-4
Jianan Wang, Changzhong Wang, Weiping Ding, Cheng Li
{"title":"YOlOv5s-ACE: Forest Fire Object Detection Algorithm Based on Improved YOLOv5s","authors":"Jianan Wang, Changzhong Wang, Weiping Ding, Cheng Li","doi":"10.1007/s10694-024-01619-4","DOIUrl":"10.1007/s10694-024-01619-4","url":null,"abstract":"<div><p>To address the challenges of low detection accuracy, slow detection speed, coarse feature extraction, and the difficulty of detection deployment in complex forest fire backgrounds, this paper presents a forest fire object detection algorithm based on an improved YOLOv5s (YOLOv5s-ACE). The algorithm not only realizes the accurate identification of small objects, but also guarantees the accuracy and speed of detection. Firstly, YOLOv5s-ACE uses Copy-Pasting data enhancement to expand the small object sample set to reduce the overfitting risk in the process of model training. Secondly, it choose Atrous Spatial Pyramid Pooling (ASPP) to replace Spatial Pyramid Pooling (SPP) module in backbone part of YOLOv5 network. Therefore, the proposed algorithm can enlarge the receptive field while ensuring the resolution, which is conducive to the accurate positioning of small object forest flame. Third, after adding the Convolutional Block Attention Module (CBAM) module to the C3 module of the Neck layer, the key features of the forest flame object can be further screened, while irrelevant information that interferes with the flame detection, such as background information, can be eliminated. The network performance of forest fire detection is improved without increasing the depth, width and resolution of the input image. Finally, we replace CIOU losses (Complete-IoU) with EIOU losses (Efficient-IoU) to optimize the performance of the model and improve accuracy. The experimental results show that compared with the original algorithm, the proposed object detection algorithm improves mean Average Precision (mAP) by 5.6%, Precision by 2.7%, Recall by 6.5% and GFlops by 6.7%. Even compared with the YOLOv7 algorithm, the proposed algorithm YOLOv5s-ACE increases mAP by 0.9%, Precision by 2.2%, and Recall by 0.3%.</p></div>","PeriodicalId":558,"journal":{"name":"Fire Technology","volume":"60 6","pages":"4023 - 4043"},"PeriodicalIF":2.3,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141772778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fire TechnologyPub Date : 2024-07-13DOI: 10.1007/s10694-024-01593-x
Rikesh Amin, Yaxin Mo, Franz Richter, Christoph Kurzer, Norman Werther, Guillermo Rein
{"title":"Predicting the Average Charring Rate of Mass Timber Using Data-Driven Methods for Structural Calculations","authors":"Rikesh Amin, Yaxin Mo, Franz Richter, Christoph Kurzer, Norman Werther, Guillermo Rein","doi":"10.1007/s10694-024-01593-x","DOIUrl":"10.1007/s10694-024-01593-x","url":null,"abstract":"<div><p>Engineered timber is increasingly in demand for tall buildings due to its positive impact on building sustainability. However, quick adoption raises fire engineering questions regarding flammability and structural performance. Understanding the behaviour of timber in fire is crucial, particularly for structural calculations of tall buildings. The charring rate of timber plays a significant role in its structural performance because the loss of cross section reduces the load bearing capacity of the element. Eurocode-5 (EC5) provides a simple method to calculate the charring rate and it is widely adopted for design in many countries while more complex physics-based models exist but are rarely used for design. For example, we want to know when EC5 underpredicts or overpredicts and by how much. This paper compares different data-driven methods, including statistical and artificial intelligence algorithms, for predicting the average charring rate of timber in fire. A new database of charring rates, VAQT, was created comprised of 231 furnace tests of timber products found in the scientific and technical literature. Statistical methods such as ridge regression (λ = 0.001) predict the charring rate with a minimum 11% error whilst EC5 predicts with 27% error. A trained neural network predicts the charring rate with minimum 9% error. This paper presents a novel database of timber charring experiments and provides a set of data-driven predictive models, all of which calculate the average charring rate with a significantly higher accuracy than EC5 for a wide range of mass timber products.</p></div>","PeriodicalId":558,"journal":{"name":"Fire Technology","volume":"60 6","pages":"4001 - 4021"},"PeriodicalIF":2.3,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10694-024-01593-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141614575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fire TechnologyPub Date : 2024-07-12DOI: 10.1007/s10694-024-01606-9
Farshad Dabbaghi, Amin Tanhadoust, Ibrahim G. Ogunsanya
{"title":"Pruning Long Short-Term Memory: A Model for Predicting the Stress–Strain Relationship of Normal and Lightweight Aggregate Concrete at Finite Temperature","authors":"Farshad Dabbaghi, Amin Tanhadoust, Ibrahim G. Ogunsanya","doi":"10.1007/s10694-024-01606-9","DOIUrl":"10.1007/s10694-024-01606-9","url":null,"abstract":"<div><p>While normal weight aggregate concrete (NWAC) can experience significant strength loss and spalling at high temperatures, lightweight aggregate concrete (LWAC) can maintain its structural integrity. Stress–strain relationship of concrete is an important test to perform during designing phase of concrete infrastructures. Therefore, this study focuses on exploring the stress–strain behavior of NWAC and LWAC under uniaxial compression at temperatures ranging from 20 to 750°C. In addition, pruning long short-term memory (P-LSTM) networks to create a predictive model for the stress–strain relationship of NWAC and LWAC is also utilized. Concrete mixture designs containing ordinary Portland cement, silica fume, and lightweight expanded clay aggregate, were first optimized to reduce the number of experiments using the response surface method. Subsequently, 30 mixture designs were fabricated and subjected to compression tests, following exposure to varying temperatures that ranged from 20 to 750°C, to evaluate their stress–strain relationship and determine associated mechanical properties. Experimental results were then utilized to develop a P-LSTM model used to forecast the stress–strain relationship of concrete at varying temperatures. The P-LSTM model developed in this study improved the prediction accuracy and stability beyond conventional LSTM model, which would be useful in the design and optimization of NWAC and LWAC structures. Additionally, the P-LSTM model has a lower computational cost and less likelihood of over-fitting as compared to typical LSTM networks.</p></div>","PeriodicalId":558,"journal":{"name":"Fire Technology","volume":"60 6","pages":"3967 - 3999"},"PeriodicalIF":2.3,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141614576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fire TechnologyPub Date : 2024-07-08DOI: 10.1007/s10694-024-01609-6
Chao An, Jiawei Zhai, Zhi Luo, Zhiguo Lei
{"title":"Numerical Study on Thermal Runaway of LFP batteries Triggered by Low Temperature Heating","authors":"Chao An, Jiawei Zhai, Zhi Luo, Zhiguo Lei","doi":"10.1007/s10694-024-01609-6","DOIUrl":"10.1007/s10694-024-01609-6","url":null,"abstract":"<div><p>With the wide application of electric vehicles (EVs) in cold areas, low temperature heating of battery is becoming more and more mature, and the way of battery bottom heating is also widely used in EVs. Nevertheless, the battery is not completely safe during the heating process, and there may be a risk that the heating plate trigger the battery to overheat. Firstly, a thermal runaway (TR) model of the battery is built, and the simulation results are compared with the experimental results to verify the accuracy. Subsequently, a bottom heating module is added to the TR model to simulate and analyze. Results show, when the heat flux exceeds 1500 J (m<sup>2</sup> s)<sup>−1</sup> and heating continuously for over 26,787 s, TR is triggered. As the heat flux increases, the TR is triggered nearly half the time earlier, and the maximum temperature reached also increases by 7.62°C. Additionally, the ambient temperature has a great effect on the time of continuous heating to TR at low temperature, and has little effect on the maximum temperature. This work provides a reference for the model study of TR in the case of low temperature heating.</p></div>","PeriodicalId":558,"journal":{"name":"Fire Technology","volume":"60 6","pages":"3927 - 3947"},"PeriodicalIF":2.3,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141576418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fire TechnologyPub Date : 2024-07-08DOI: 10.1007/s10694-024-01613-w
Howard R. Baum, J. G. Quintiere
{"title":"The Emmons Problem Revisited","authors":"Howard R. Baum, J. G. Quintiere","doi":"10.1007/s10694-024-01613-w","DOIUrl":"10.1007/s10694-024-01613-w","url":null,"abstract":"<div><p>The “Emmons Problem” is a foundation of fire science and gives a mathematical boundary layer solution to the burning of a vaporizing fuel from the surface of a flat plate immersed in a uniform flow of oxidizing gas. It approximates the Navier–Stokes equations assuming infinitely fast chemistry and ignores differential diffusion and thermal radiation. This allows “similarity” solutions to be developed and expressed in terms of the classic Blasius function. The current paper extends the solution, in mathematical form, to the entire domain far from the boundary layer and upstream of the leading edge. The introduction of conformal parabolic coordinates and use of the Howarth transformation allows the solution for the stream function to be expressed in exactly the same form as that found by Emmons and furnishes an explicit recipe for the pressure perturbation. The same coordinate transformations allow the exact solution of the full elliptic mixture fraction equation to be obtained, and the representation of the velocity components in terms of the stream function guarantees that the continuity equation is also satisfied exactly. Further, an exact solution to the transverse momentum equation is also displayed permitting the introduction of a crossflow into the spectrum of results obtained. In short, an analytic solution is found for the Emmons problem in the entire elliptic domain - upstream and in the far field.</p></div>","PeriodicalId":558,"journal":{"name":"Fire Technology","volume":"60 6","pages":"3949 - 3966"},"PeriodicalIF":2.3,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141576416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fire TechnologyPub Date : 2024-07-04DOI: 10.1007/s10694-024-01605-w
Peng Zhao, Zhongyuan Yuan, Chenchen Liang, Yanping Yuan, Rui Wang
{"title":"Smoke Control Strategy and Design Criterion in Tunnel Fire Hazards Using Point Extraction Ventilation: Experimental Analysis and Theoretical Modeling","authors":"Peng Zhao, Zhongyuan Yuan, Chenchen Liang, Yanping Yuan, Rui Wang","doi":"10.1007/s10694-024-01605-w","DOIUrl":"10.1007/s10694-024-01605-w","url":null,"abstract":"<div><p>The hot and toxic smoke is a major reason for deaths and injuries in tunnel fire hazards, therefore, it is of vital importance for safe evacuation to effectively control the smoke. This paper proposed a smoke control strategy, i.e., completing smoke extraction, and developed the design criterion of exhaust rate based on small-scale experiments and theoretical analysis. The heat release rate (HRR), damper length, and interval were considered. Experimental results showed the critical exhaust rate for completing smoke extraction rose with the increase in HRR and declined with a growing damper interval. Besides, it first rapidly decreased and then turned to be smooth with rising damper length. Subsequently, the ratio of the suction force, <i>F</i><sub><i>d</i></sub> to the force, <i>F</i><sub><i>s</i></sub> was adopted to determine the completing smoke extraction using force analysis. The results illustrated that the HRR and damper interval barely affect the relative magnitude between the suction force, <i>F</i><sub><i>d</i></sub>, and the force, <i>F</i><sub><i>s</i></sub>. It was linearly dependent on the dimensionless damper length and then exponentially grew. The critical length of the damper was 0.1 m. Finally, a prediction model was established, and the evaluated results deviated from the experimental data within 15%.</p></div>","PeriodicalId":558,"journal":{"name":"Fire Technology","volume":"60 6","pages":"3903 - 3925"},"PeriodicalIF":2.3,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141551591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fire TechnologyPub Date : 2024-07-03DOI: 10.1007/s10694-024-01603-y
Paul Lardet, Alain Coimbra, Lucas Terrei, ElMehdi Koutaiba, Renato Mole-Antoniazza, Gabriel Giovannelli
{"title":"An Empirical Correlation for Burning of Spruce Wood in Cone Calorimeter for Different Heat Fluxes","authors":"Paul Lardet, Alain Coimbra, Lucas Terrei, ElMehdi Koutaiba, Renato Mole-Antoniazza, Gabriel Giovannelli","doi":"10.1007/s10694-024-01603-y","DOIUrl":"10.1007/s10694-024-01603-y","url":null,"abstract":"<div><p>This article proposes an empirical expression to describe the pyrolysis and charring of spruce wood in bench-scale experiments for a wide range of incident heat fluxes. Spruce wood samples were exposed to a cone radiant heater oriented vertically with varying intensities, ranging from <span>(dot{q}_{text {cone}}^{''})</span> = 22 kW m<span>(^{-2})</span> to 93.5 kW m<span>(^{-2})</span> over 53 test samples. The mass loss rate (MLR), the position of the char front and a preliminary additional heat source from smoldering or flaming combustion were experimentally determined. The experimental data were processed to express the burning rate as a function of heat flux and char front position. A grouping of the experimental curves was obtained, allowing to predict the MLR outcome over time regardless of the incident heat flux. A linear regression at the quasi-steady state regime allowed the determination of the fitting coefficients of the correlation, which ultimately correspond to the mass of volatiles produced per unit of energy input into the material. A comparison was made with theoretical analysis of the pyrolysis of charring materials from the literature, and the discrepancies with the proposed approach and its limitations were finally discussed. The main advantage of this approach is that it provides a generalized expression, requiring minimal input of material properties, which predicts the MLR change over time for any heat flux within engineering accuracy.</p></div>","PeriodicalId":558,"journal":{"name":"Fire Technology","volume":"60 6","pages":"3883 - 3902"},"PeriodicalIF":2.3,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141518085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}