288 publications from this institution
Performance-based design (PBD) has been playing an important function in fire safety of buildings, and how to accurately simulate occupants’ behavior gains attention from fire engineers. With booming development of evacuation software, developing an extensive database for evacuation models is imperative and urgent. According to the literature, the whole process of evacuation includes several stages, such as pre-movement, action period, walking period, etc. In order to develop an evacuation model, data in these stages concerning pre-movement time, walking speed, occupant characteristics, actions and exit choice decisions are compiled in this paper. These data can be used as input parameters for evacuation models in PBD or in validating the evacuation models’ accuracy.
:<div><br><div><pre><p>In system identification scenarios, classical adaptive filters, such as the recursive least squares (RLS) algorithm, predict the system impulse response. If a tracking delay is acceptable, interpolating estimators capable of providing more accurate estimates of time-varying impulse responses can be used; channel estimation in communications is an example of such applications. The basis expansion model (BEM) approach is known to be efficient for non-adaptive (block) channel estimation in communications. In this paper, we combine the BEM approach with the sliding-window RLS (SRLS) algorithm and propose a new family of adaptive filters. Specifically, we use the Legendre polynomials, thus the name the SRLS-L adaptive filter. The identification performance of the SRLS-L algorithm is evaluated analytically and via simulation. The analysis shows significant improvement in the estimation accuracy compared to the SRLS algorithm and a good match between the theoretical and simulation results. The performance is further investigated in application to the self-interference cancellation in full-duplex underwater acoustic communications, where a high estimation accuracy is required. A field experiment conducted in a lake shows significant improvement in the cancellation performance compared to the classical SRLS algorithm.</p> </pre></div></div>
The combination of solar energy utilization and spatial morphology is crucial to improve urban energy efficiency. This paper explores the internal relationship between solar energy potential assessment and spatial form indicators from three aspects: research progress related to solar energy utilization potential, its correlation with spatial form indicators, and spatial form optimization methods and frameworks. According to the corresponding categories of different indicators, the research conclusions and effectiveness are summarized from three aspects: overall planning, group layout and architectural form, aiming to provide theoretical reference for urban sustainable development. The review shows that most of the studies in this field mainly employ geometric and descriptive morphological parameters to indirectly reflect the neighborhood relationship of buildings, while more complex multi-dimensional parameters or performance parameters characterizing building properties remain to be explored. In addition, it is necessary to build a sound comprehensive benefit evaluation system that integrates product information related to solar energy system and physical information related to building environment; in the meantime, advanced simulation technology and big data analysis will be introduced to improve the rational distribution and utilization efficiency of solar light heat among building groups.
No abstract is provided for this article.
To investigate the improvement induced by horizontal smoke baffles during lateral smoke exhaust, an immersed road tunnel with various horizontal smoke baffles positioned below the lateral exhaust vent was studied numerically. Together with the velocity field characteristics, the temperature distribution was investigated near the lateral smoke exhaust vent, followed by the analysis of lateral smoke exhaust efficiency under different horizontal smoke baffles. Results showed that after installing the horizontal smoke baffle, there was a significant decrease in the extracted cold air, while the high‐temperature smoke in the exhaust vent increases, indicating the plug‐holing is effectively suppressed. It is known that the efficiency of smoke exhaust increases when the length exceedance ratio of the horizontal smoke baffle is smaller than 100%, while it changes slightly when the baffle length continues to increase. When the width ratio of horizontal baffle is smaller than 40%, the efficiency of smoke exhaust increases with the baffle width and then changes slightly with a wider smoke baffle. With a larger aspect ratio, the wider and shorter lateral exhaust vent is beneficial for improving the lateral smoke exhaust. Under the current conditions, the case shows the optimal smoke exhaust performance with a horizontal baffle length exceedance ratio of 100%, a baffle width ratio of 40%, and exhaust vent aspect ratio of 3:1. Finally, an empirical model is developed to describe the improvement of smoke exhaust efficiency caused by horizontal smoke baffle. These outcomes are helpful to the design of lateral smoke extraction system in road tunnels.
No abstract is provided for this article.
No abstract is provided for this article.
The solar chimney is a reliable passive ventilation system that can largely reduce the energy requirements with both low costs and maintenance for buildings to overcome the current energy crisis. To optimize its design, an empirical model is developed to predict the performance of typical solar chimneys considering both room and chimney cavity configurations using easily acquired inputs. Fire Dynamics Simulator (FDS) as an excellent and open-source tool to solve heating, ventilation and air conditioning problems is selected for this study. The numerical modelling of FDS was first validated by previous experimental data, and then used to develop the empirical model. In this model, a coefficient describing room and chimney configuration (e.g., room opening, inlet and outlet of cavity) is proposed. It is shown that room size (length, width and height) and opening location have limited influence on performance. Also the radiation from hot walls can be ignored when compared to convection heat transfer between the hot walls and the air inside the cavity. This study provides key knowledge to optimize the design of solar chimneys in energy saving for buildings.
Smoke temperature beneath tunnel ceiling is one of the most important parameters to determine its fire safety. A double long-narrow space is formed when a subway train stops inside a tunnel, where the smoke movement is quite different from those inside traditional road or train tunnel. The related smoke distributions beneath the tunnel ceiling in this double long-narrow space have been rarely investigated previously. Therefore, through this study, the effect of train fire location on the maximum smoke temperature beneath the subway tunnel ceiling were investigated both numerically and theoretically. Results showed that the smoke temperature beneath the tunnel ceiling is closely related to the spill plume through the train door, which is significantly affected by the fire location. The maximum smoke temperature beneath the tunnel ceiling increases exponentially as the fire source moves away from the train center. A modified model was then developed to predict the maximum temperatures under the spill plume considering various heat release rates and fire locations.
Although non-charring polymers have been frequently utilized in the industry, public transport and buildings, their fire risk could be more serious comparing to the others such as timber fire. This is much due to the melting process in solid phase and also the high temperature and a large number of gas volatiles in gas phase. The numerical modeling of non-charring polymers could be complicated because of the difficulty in describing melting processes and in-depth radiation (for some transparent polymers). In this study, a numerical model was developed to predict the fire behaviors of a typical non-charring polymer (high-density polyethylene). The focus was on its fire behaviors under spontaneous ignition conditions, namely without the acceleration of spark plug. The model has considered both solid and gas phases, such as pyrolysis reactions, melting process, in-depth radiation, gas and liquid transportation inside the solid phase, and gas phase combustion. The numerical results for solid phase were validated by cone calorimeter experiment. For gas phase modeling, the predicted temperature and gas velocity are consistent with the major heat transfer processes.