基于纤维模型的受火后混凝土框架的有限元分析

为了分析受火后混凝土框架结构的残余力学性能,基于纤维模型的思路,将梁、柱构件截面划分成多个纤维,可以考虑构件截面的不均匀温度场分布以及受火损伤后材料力学性能的变化。以ABAQUS通用有限元软件为开发平台,利用Python编程语言对其进行二次开发,将SAP2000建立的模型文件导入到ABAQUS中,对基于纤维模型的混凝土框架进行受火后的温度场分析和非线性力学分析。通过一个多层多跨三维混凝土框架火灾反应的实例,对该框架在受火后的力学反应进行了分析,可为评估混凝土框架结构受火后的残余力学性能提供参考。     

基于模糊数学的震后建筑火灾危险性评估模型研究

震后建筑火灾涉及因素多,传统评估模型忽略了建筑截面温度变化与建筑形变程度的影响,导致评估准确度较低。为解决此问题,通过模糊数学方法建立震后建筑火灾危险性评估模型。在建立判断矩阵的基础上,获取评估模型权重,确定隶属度矩阵;通过确定震后建筑火灾后截面温度变化评估的因素集与评语集,进行单因素评判,为评估因素集中的因素赋予权重,实现一级模糊评估;再将一级评估结果作为二级评估的单因素评估,结合模糊数学分析完成对震后建筑火灾危险性的评估。实验中以建筑横梁截面温度变化与形变程度为指标,对震后建筑火灾危险性进行评估。实验结果表明,采用所提模型进行危险性评估,震后在发生火灾时建筑结构受到火灾影响,横梁截面温度越高,导致形变程度越大,危险性更高,模拟实验结果与实际情况更加接近,所提模型评估精度高。     

基于GIS的城市地震次生火灾危险性分析系统

以地理信息系统（GIS）为开发平台，研究了城市地震次生火灾危险性分析系统的基本构成与功能和系统的数据分层与组织，给出了地震次生火灾危险性分析模型及方法．以上海市中心城区为背景，开发了基于GIS的地震次生火灾危险性分析与火灾扑救辅助决策系统．      

Hazard analysis system of urban post-earthquake fire based on GIS

IntroductionPost-earthquake fire is described as the fire caused by earthquake directly or indirectly. Among the post-earthquake disasters or seismically secondary disasters, post-earthquake fire is usually the most dangerous. Experiences from historic earthquakes indicate that seismically secondary disasters may cause more severe damages and threaten our society seriously than the earthquake itself. To relieve the post-earthquake fire and minimize the economic loss, it is necessary to set up …     

地震次生火灾蔓延模型在MapX上的实现

本文根据经典的火灾蔓延模型，完成计算机火灾模型化和模拟技术的研究。首先分析地震次生火灾因素，建立相应的数学模型，其次使用Mapinfo公司的MapX控件开发了软件，最后以鞍山市为例进行了结果展示。     

城市地下轨道交通火灾风险评估体系模型研究——以某地铁车站为例

用按时序分阶段的评估方法建立了城市地下交通火灾风险评估体系的架构,并用改进的层次分析法建立了多层次评估指标权重模型,建立了判断火灾风险的评价标准。以北京地铁二号线某车站为例,在对其现有设备资料和运行特性进行详细调研分析的基础上,把风险评估结构划分为目标层、准则层、指标层,并按照现有的参考依据对各项影响火灾安全的风险因素进行赋值计算,得到了火灾各个阶段该车站的火灾风险水平,并对评价中的薄弱环节,提出了有针对性的建议。研究结果可供地下交通系统火灾应急预案制定参考。     

标准升温条件下PEC柱耐火极限理论分析及简化计算

基于ABAQUS软件建立了标准升温条件下局部填充混凝土（Partially Encaed Concrete,简称PEC）柱抗火性能分析的有限元模型,计算了火灾下PEC柱的变形曲线及耐火极限,计算结果得到了已有试验数据的验证。利用上述模型分析了截面几何参数、材料物理参数、荷载比及偏心率等因素对耐火极限的影响。在参数分析的基础上,建立了标准升温条件下PEC耐火极限简化计算方法。结果表明：无耐火保护PEC柱的耐火极限一般达不到现有抗火标准的要求;荷栽比、长细比和截面周长是影响PEC柱耐火极限的主要因素;该耐火极限简化计算方法可供工程设计参考。     

基于G1S确定城市地震次生火灾高危区方法的研究

本文采用建筑物震后火灾发生与蔓延危险性分析的概率模型,给出建筑结构在地震破坏状态下的次生火灾发生的概率。通过综合分析其它影响因素,给出判定城市地震次生火灾发生的高危险区的方法。并在GIS(Geograpllic Information System)下实现对城市地震次生火灾高危险区的划分。     

Application of an intelligent model developed from experimental data to building design for fire safety

Computational fluid dynamics (CFD) techniques are widely adopted to simulate the behavior of fire. However, CFD suffers from the shortcoming of requiring extensive computer storage and a lengthy computational time. In practical applications, although comprehensive field information on velocities, temperatures, pressure, and the fractions of different constitutes can be obtained from CFD simulations, the user may only be interested in few important parameters that index the performance of a compartment design in the event of a fire. The height of the thermal interface (HTI) is one such key index, and refers to the average height above floor level inside a fire compartment at which the temperature gradient is highest. In practice, a fire compartment is considered untenable when the HTI drops below the respiratory level of the occupants, and in optimizing the design of a fire system, another set of design parameters (e.g., the width of the door opening) must be examined if the HTI of a fire compartment design is evaluated by CFD as being too low. This trial and error exercise then continues until a close to optimum set of design parameters is achieved. This approach is theoretically feasible, but requires lengthy computational time. This paper proposes the application of an Artificial Neural Network (ANN) approach as a fast alternative to CFD models to simulate the behavior of a compartment fire. A novel ANN model named GRNNFA has been specially developed for fire studies. It is a hybrid ANN model that combines the General Regression Neural Network (GRNN) and Fuzzy ART (FA). The GRNNFA model features a network structure that grows incrementally, stable learning, and the absence of the noise embedded in experimental fire data. It has been employed to establish a system response surface based on the training samples collected from a full-scale experiment on compartment fire. However, as the available training samples may not be sufficient to describe the behavior of all systems, and especially those involving fire data, this paper proposes that extra knowledge be acquired from human experts. Human expert network training has thus been developed to remedy established system response surface problems. After transforming the remedied system response surface to the problem domain, a Genetic Algorithm (GA) is applied to evaluate the close to optimum set of design parameters.     

基于径向基函数网络的地震火灾损失预测

针对地震火灾的复杂性和多变性的特点，利用径向基函数网络的自学习、自适应能力和容错性特性，根据地震火灾的历史资料，建立了基于径向基函数网络的地震火灾损失预测模型，并对该模型进行了检验和讨论，说明本方法的适用性，也为其它自然灾害的损失预测提供了简单、有效的方法.      

A Simple Model for the Movement of Fire Smoke in a Confined Tunnel

Fires in tunnels are unfortunately frequent occurrences often with tragic outcomes. A recent example is the fire on the funicular train at the ski resort in Kaprun (Austria), which caused nearly 160 deaths. Design engineers and risk analysts require knowledge of the fluid dynamics of the fire and smoke movement to answer questions such as how much oxygen can access and feed the fire, and what concentration of smoke will the people be exposed to. As an example in the Austrian accident the geometry was a long tunnel with fire doors closed at one end, and with a fire initiated near the closed (lower) end. The hot smoke from the fire is a source of buoyancy; the smoke reaches the ceiling of the tunnel, and then develops along the ceiling as a wall-bounded plume. The motion of the smoke is driven by a buoyancy force, but at the same time, mechanisms of turbulent heat and mass transfer act as a brake to this motion. In this paper we present how a generic model describing a semi-enclosed buoyancy-driven flow can be interpreted and used in the modelling of fire smoke movement in a confined tunnel. A consideration of the net pollutant volume flux through the tunnel leads to predictions for the variation of concentrations along the tunnel. The smoke concentrations near the fire smoke source scale linearly with the length of the tunnel, with higher concentrations at the lower section of the tunnel, as could be expected. Similarly the concentration of oxygen making its way through to the fire source decreases linearly with the length of the tunnel. A lower bound estimate of the smoke residence time can be obtained based on smoke concentration predictions from the model.     

半横向排烟下隧道火灾烟气控制效果试验研究

为了研究隧道火灾半横向排烟对烟气排放效果的影响参数,同时为半横向通风排烟下隧道火灾烟气蔓延情况的系统性研究提供试验数据支持,建立缩尺比例为1：10的水平模型隧道开展火灾试验,并对火灾半横向排烟时排烟阀和排烟道内的烟气流动进行理论分析。结果表明,水平公路隧道半横向排烟情况下,理论分析得出的排烟阀处烟气流速与模型试验结果基本吻合;在火源附近,冷空气与高温烟气掺混较少,温度较高;在靠近风机处,排烟阀烟气流速较大,但同时因远离火源,热量损失和掺混冷空气较多,因而温度较低;排烟阀开启个数、间距、单个面积以及排烟阀离风机的距离,均会对半横向排烟系统的排烟效果产生影响。     

Geomorphic influences on the distribution and accumulation of pyrogenic carbon (PyC) following a low severity wildfire in northern New Mexico

The distribution, transport, and accumulation of wildfire‐generated pyrogenic carbon (PyC) has important consequences for contaminant transport and carbon cycling, but a conceptual model for PyC accumulation and loss that includes geomorphic processes is lacking. In this study we quantified PyC concentration in soil samples collected from the Jemez Mountains of New Mexico before and after the 2013 Thompson Ridge (TR) fire, and developed a conceptual model describing PyC redistribution. Pre‐fire samples were fortuitously collected 4 years before the TR burn and post‐fire samples were collected at the same locations 15 months following the TR fire. Samples were collected from the O and A horizon, with sites representing a range of slope angle, aspect, burn severity, and geomorphic setting. PyC was determined by a modified chemo‐thermal oxidation method to compare PyC to total organic carbon (TOC). The mean PyC/TOC ratio was significantly higher post‐fire than pre‐fire (0.14 vs 0.12), indicating increased PyC sequestration. O horizon PyC concentrations were more variable and more responsive to fire than the A horizon. Soil horizon, watershed, and geomorphic setting proved to be the most influential factors in predicting PyC concentration changes. PyC concentrations increased most on hillslopes and in low‐severity burn areas, suggesting higher rates of PyC production or post‐fire accumulation. Burn patchiness appears to facilitate PyC accumulation, with lower severity patches trapping PyC mobilized from high severity patches. While PyC content had greater point scale variance following the fire, the fire also homogenized pre‐fire PyC differences between soil horizons and among watersheds within the burn perimeter, differences that appear to develop over time between fires. The O horizon is a larger sink for PyC in the short term following fire, but based on pre‐fire concentrations the A horizon appears to be a more stable sink for PyC. Copyright © 2018 John Wiley & Sons, Ltd.     

基于GIS的城市地震次生火灾蔓延初步研究——以福州市区为例

以W Arcview/GIS为工具 ,结合传统的火焰蔓延数学模型 ,发展了复杂系统条件下城市地震次生火灾蔓延的计算机仿真模型 ,并结合福州市主要建筑物结构类型的具体情况 ,提出了根据建筑物类型来区分不同可燃物类型的划分方案。结合火源、风向风力、可燃物分布等因素 ,该模型在地震时可用以判定某一时段内可能的延烧区域 ,估计地震次生火灾的灾害程度及其直接经济损失     

后张无粘结预应力混凝土简支板抗火分析

预应力混凝土板因具备自重轻、跨度大等特点,广泛应用于建筑结构和桥梁结构中。但是,当这种结构受到火灾荷载作用时,其承栽能力就会大幅下降。在高温下,混凝土和预应力筋的力学性能都会劣化,进而造成板的大挠度变形甚至破坏。本文对后张无粘结简支预应力板建立了数值分析模型,其中混凝土和预应力筋采用实体单元模拟,受力筋和分布钢筋采用桁架单元模拟。模型中材料的力学特性和热工特性参数取自文献[15]。采用文献中的试验结果验证了该数值模型的可靠性,并进一步研究了混凝土受热膨胀系数、板的不同区域受火和不同的火灾场景等因素对火灾荷载作用下后张无粘结预应力混凝土简支板的挠度以及预应力的影响,得出了初步结论。     

Sediment transport due to tree root throw: integrating tree population dynamics,wildfire and geomorphic response

A field study was conducted to analyze root throw and associated sediment transport in Hawk Creek Watershed, Canadian Rockies. A large crown fire in 2003 allowed the opportunity to study pre‐fire and post‐fire root throw. Based on field data, a significant relation was found between gradient and root plate volume, as well as individual root plate dimensions. Given that tree diameters increase as trees age and that a relation in the field data was found between tree diameter and root plate volumes, sediment transport due to root throw is expected to change in response to forest disturbance and stand age. Sediment disturbance, which is the amount of sediment upheaved during tree topple and does not take into account transport distance, shows higher values on steeper gradients. Sediment transport was notable for the steepest plots, with pre‐fire values of 0·016 cm³ cm^–1 a^–1 and post‐fire values of 0·18 cm³ cm^–1 a^–1. A tree population dynamics model is then integrated with a root throw transport model calibrated for the Canadian Rockies to examine the temporal dynamics of sediment transport. Fire is incorporated as a disturbance that initiates development of a new forest, with the model cycling through generations of forest. Trees fall according to an exponential rate that is based on time since death, resulting in a time lag between tree mortality and sediment transport. When values of time‐since‐previous‐fire are short, trees are generally <13 cm, and minimal sediment is upheaved during toppling. If trees reach a critical diameter at breast height (dbh) at time of fire, a pulse of sediment occurs in the immediate post‐fire years due to falling of killed trees, with tree fall rates decreasing exponentially with time‐since‐fire. A second pulse of root throw begins at about 50 years after the previous fire, once new recruits reach a critical dbh and with initiation of competition‐induced mortality. Copyright © 2009 John Wiley & Sons, Ltd.     

钢管混凝土组合柱在标准火与真实火中的行为比较

以实际工程中常用的钢管混凝土组合柱为研究对象,通过ABAQU S大型有限元软件模拟钢管混凝土组合柱在标准火和真实火中的截面温度分布、应力、变形、破坏形态、耐火极限等力学行为。其中标准火选用ISO-834标准火模型,真实火采用欧洲规范Eurocode 1 Part 1-2中的参数火模型来近似模拟真实火灾的温度—时间关系。研究发现,钢管混凝土柱在两种火场环境中的行为差异很大,真实火中的冷却过程对钢管混凝土的破坏起重要的影响。基于本研究,还初步得到火灾过程中环境温度的升温速度、柱火灾荷载比等对钢管混凝土组合柱的抗火性能的影响。     

Charred forests accelerate snow albedo decay: parameterizing the post‐fire radiative forcing on snow for three years following fire

As large, high‐severity forest fires increase and snowpacks become more vulnerable to climate change across the western USA, it is important to understand post‐fire disturbance impacts on snow hydrology. Here, we examine, quantify, parameterize, model, and assess the post‐fire radiative forcing effects on snow to improve hydrologic modelling of snow‐dominated watersheds having experienced severe forest fires. Following a 2011 high‐severity forest fire in the Oregon Cascades, we measured snow albedo, monitored snow, and micrometeorological conditions, sampled snow surface debris, and modelled snowpack energy and mass balance in adjacent burned forest (BF) and unburned forest sites. For three winters following the fire, charred debris in the BF reduced snow albedo, accelerated snow albedo decay, and increased snowmelt rates thereby advancing the date of snow disappearance compared with the unburned forest. We demonstrate a new parameterization of post‐fire snow albedo as a function of days‐since‐snowfall and net snowpack energy balance using an empirically based exponential decay function. Incorporating our new post‐fire snow albedo decay parameterization in a spatially distributed energy and mass balance snow model, we show significantly improved predictions of snow cover duration and spatial variability of snow water equivalent across the BF, particularly during the late snowmelt period. Field measurements, snow model results, and remote sensing data demonstrate that charred forests increase the radiative forcing to snow and advance the timing of snow disappearance for several years following fire. Copyright © 2016 John Wiley & Sons, Ltd.     

Influences of vegetation disturbance on hydrogeomorphic response following wildfire

Quantifying the linkages between vegetation disturbance by fire and the changes in hydrologic processes leading to post‐fire erosional response remains a challenge. We measured the influence of fire severity, defined as vegetation disturbance (using a satellite‐derived vegetation disturbance index, VDI), landscape features that organize hydrologic flow pathways (relief and elongation ratios), and pre‐fire vegetation type on the probability of the occurrence of post‐fire gully rejuvenation (GR). We combined field surveys across 270 burned low‐order catchments (112 occurrences of GR) and geospatial analysis to generate a probabilistic model through logistic regression. VDI alone discriminated well between catchments where GR did and did not occur (area under the curve = 0.78, model accuracy = 0.72). The strong effect of vegetation disturbance on GR suggests that vegetation exerts a primary influence on the occurrence of infiltration excess run‐off and post‐fire erosion and that major gully erosion will not occur until fire consumes aboveground biomass. Other topographic and local factors also influenced GR response, including catchment elongation, per cent pre‐fire shrub, mid‐slope riparian vegetation, armoured headwaters, firehose effects, and concentration of severe burn in source areas. These factors highlight the need to consider vegetation effects in concert with local topography and site conditions to understand the propensity for flow accumulation leading to GR. We present a process‐based conceptual hydrologic model where vegetation loss from fire decreases rainfall attenuation and surface roughness, leading to accelerated flow accumulation and erosion; these effects are also influenced by interactions between fire severity and landscape structure. The VDI metric provides a continuous measure of vegetation disturbance and, when placed in a hydrologic context, may improve quantitative analysis of burned‐area susceptibility to erosive rainfall, hazard prediction, ecological effects of fire, landform evolution, and sensitivity to climate change. Copyright © 2015 John Wiley & Sons, Ltd.     

建筑物震后火灾发生与蔓延危险性分析的概率模型

本文探讨了建筑结构物震后可能发生的次生火灾的不确定性,给出分析的基本思路,提出了与建筑结构地震破坏状态相关的次生火灾发生和蔓延的危险性概率模型。通过对相关参数的初步量化分析,结合城市防灾工作中广泛使用的地理信息系统,给出了用于城市建筑物震后可能发生火灾或使火灾蔓延的危险性分析和次生火灾高危险区域的确定方法。