Assessment of Fire Engineering Design Correlations Used to Describe the Geometry and Thermal Characteristics of Externally Venting Flames

Externally venting flames (EVF) may emerge through openings in fully developed under-ventilated compartment fires, significantly increasing the risk of fire spreading to higher floors or adjacent buildings. Several fire engineering correlations have been developed, aiming to describe the main characteristics of EVF that affect the fire safety design aspects of a building, such as EVF geometry, EVF centreline temperature and EVF-induced heat flux to the façade elements. This work is motivated by recent literature reports suggesting that existing correlations, proposed in fire safety design guidelines (e.g. Eurocodes), cannot describe with sufficient accuracy the characteristics of EVF under realistic fire conditions. In this context, a wide range of EVF correlations are comparatively assessed and evaluated. Quantification of their predictive capabilities is achieved by means of comparison with measurements obtained in 30 different large-scale compartment-façade fire experiments, covering a broad range of heat release rates (2.8 MW to 10.3 MW), ventilation factor values (2.6 m^5/2 to 11.53 m^5/2) and ventilation conditions (no forced draught, forced draught). A detailed analysis of the obtained results and the respective errors corroborates the fact that many correlations significantly under-predict critical physical parameters, thus resulting in reduced (non-conservative) fire safety levels. The effect of commonly used assumptions (e.g. EVF envelope shape or model parameters for convective and radiative heat transfer calculations) on the accuracy of the predicted values is determined, aiming to highlight the potential to improve the fire engineering design correlations currently available.     

UK public’s intention to engage with academia via online technologies

Online technologies have made it possible for practitioners and the public to reach academics directly and seek information and knowledge in areas of professional or personal interest. This paper uses the extended version of the Unified Theory of Acceptance and Use of Technology (UTAUT2) to examine the factors that affect the adoption of online technologies by practitioners and other members of the public in order to engage with the academic community. Understanding the driving factors of such online engagement is very important as it can inform academic practice and how institutional support is provided. The results of our online survey (N?=?241), derived by using Structural Equation Modelling, show that behavioural intention is mainly affected by the user's habit, performance expectancy and facilitating conditions. Also, educational level has a moderating effect in the cases of habit and social influence and gender in the cases of habit and hedonic motivation.     

Structural damages of maxillofacial biopolymers under solar aging

Additional types of silicone biopolymers are widely used in maxillofacial prosthetics. Therefore, the knowledge of the solar radiation’s effect on their structural stability is highly important. Four different industrially synthesized biomaterials were examined, called Episil Europe 1, Europe 2, Europe 3 and Africa 3, which were exposed to solar radiation (UVA, UVB) for eight different time periods (from 8 to 168 h). Structural damages due to irradiation exposure were investigated by mechanical tests (compression) and differential scanning calorimetry (DSC) methods. Simple mathematical models were developed, containing parameters with physical meaning such as maximum stress (σ_max), maximum strain (ɛ), elasticity parameter (E), and viscoelastic parameter (p), for the compression test, and melting temperature (T _m) and Enthalpy in melting point (Heat) for DSC. With increasing irradiation time their maximum stress and strain decreased significantly, and the materials lost their elasticity and molecular stability. A decrement in their melting points and heats was observed as irradiation time was increasing. Finally, experimental results demonstrated that solar radiation has a severe effect on the structural stability of the examined biomaterials.     

A comparative reactivity and kinetic study on the combustion of coal-biomass char blends

The combustion behavior and kinetics of various biomass chars, a lignite and a hard coal char and their blends were investigated. Pure fuel chars were compared to blended chars with respect to their performance during combustion. Non-isothermal thermogravimetry experiments were performed in air atmosphere, over a temperature range of 25-850 °C and at a heating rate of 10 °C/min. Kinetic evaluation was performed using a power law model. Reaction kinetic parameters were obtained by modeling the combustion of biomass and coal chars as a single reaction, with the exception of lignite and olive kernel chars, the combustion of which was modeled by two partial reactions. A single reaction model was used in the case of coal-wood char blends, while for the lignite-biomass char blends two partial reactions were used. Reactivity was assessed using the specific reaction rate, as a function of conversion. Biomass chars were generally more reactive than those of hard coal and lignite. The combustion behavior of the blends was greatly influenced by the rank of each coal (hard coal or lignite) and the proportion of each component in the blend. Combustion performance of the blends showed some deviation from the expected weighted average of the constituent chars. An attempt was made to estimate the kinetics of the blends using, as a basis, the parameters estimated for the individual components. In this case, because of the interactions between the components of the blends, the kinetic parameters needed to be slightly modified. Alteration in reactivity was more pronounced in the case of lignite-biomass chars than coal-wood chars.     

A typological,environmental and socio-cultural study of semi-open spaces in the Eastern Mediterranean vernacular architecture: The case of Cyprus

Semi-open spaces – largely incorporated in vernacular dwellings in Cyprus during the 19th and 20th centuries – formed diachronically significant socio-cultural, functional and environmental features of the vernacular architecture of the area. The climate of the Eastern Mediterranean region, i.e., hot summers and mild winters, encouraged the use of open weather protected spaces, thus leading to the widespread incorporation of such spaces in the vernacular architecture of the region. This paper focuses on the interconnections between architectural forms and human comfort, convenience or pleasure in relation to the semi-open spaces found in the vernacular architecture of Cyprus – an island in the Eastern Mediterranean region. For the purpose of this research, characteristic traditional settlements found in the coastal, lowland and mountainous areas – which represent three different climatic regions and topographies of the island – were selected for an in-depth investigation. The findings confirm a high frequency of semi-open spaces, as well as the existence of a remarkable richness of typologies. Although semi-open spaces constitute a fundamental part of the structure of these vernacular dwellings in all climatic regions examined, they dominate in the lowland regions due to the particularly hot climate, as well as the specific activities of the inhabitants of these areas. The prevailing architectural forms and constructions of these spaces in each climatic region under investigation was found to be closely adapted to the local resources, terrain and climate, while also being related to the social, household and agricultural needs of the inhabitants, thus underlining their sustainable and locus-specific conception. Research findings can contribute towards critically re-thinking semi-open spaces and their inherent value in rehabilitation projects, as well as in contemporary residential architecture.     

Photocatalytic oxidation of methyl parathion over TiO2 and ZnO suspensions

The photocatalytic degradation of methyl parathion in aqueous solutions, using two different photocatalysts (TiO₂ and ZnO) has been investigated. The degradation of methyl parathion follows first order kinetics according to the Langmuir–Hinshelwood model. Complete degradation is achieved within 45 or 150 min when treated with illuminated TiO₂ or ZnO, respectively. It was observed that the initial rate increases linearly with an increase of the amount of catalyst up to a level where it reaches a plateau corresponding to the optimum of light absorption. The addition of an oxidant (K₂S₂O₈) leads to an increase in the rate of photooxidation. Moreover, illuminated TiO₂ suspensions were proved to be more effective in mineralizing the insecticide compared to ZnO suspensions. Measurements of phosphate, sulfate and nitrate ions gave valuable information about how this process is achieved. Addition of the oxidant enhances mineralization for both photocatalytic systems. Up to eight by-products were identified by GC–MS technique during the photocatalytic degradation of the insecticide that proceeds via oxidation, hydroxylation, dealkylation and hydrolysis of the ester group reaction pathways. Finally, the toxicity of the treated solution was reduced only in the presence of TiO₂, while ZnO suspensions appear to increase the toxicity due to photo-dissolution of ZnO releasing zinc in the treated solution.     

A robust optimization approach to enhancing reliability in production planning under non-compliance risks

Certain regulated industries are monitored by inspections that ensure adherence (compliance) to regulations. These inspections can often be with very short notice and can focus on particular aspects of the business. Failing such inspections can bring great losses to a company; thus, evaluating the risks of failure against various inspection strategies can help it ensure a robust operation. In this paper, we investigate a game-theoretic setup of a production planning problem under uncertainty in which a company is exposed to the risk of failing authoritative inspections due to non-compliance with enforced regulations. In the proposed decision model, the inspection agency is considered an adversary to the company whose production sites are subject to inspections. The outcome of an inspection is uncertain and is modeled as a Bernoulli-distributed random variable whose parameter is the mean of non-compliance probabilities of products produced at the inspected site and, therefore, is a function of production decisions. If a site fails an inspection, then all its products are deemed adulterated and cannot be used, jeopardizing the reliability of the company in satisfying customers’ demand. In the proposed framework, we address two sources of uncertainty facing the company. First, through the adversarial setting, we address the uncertainty arising from the inspection process as the company does not know a priori which sites the agency will choose to inspect. Second, we address data uncertainty via robust optimization. We model products’ non-compliance probabilities as uncertain parameters belonging to polyhedral uncertainty sets and maximize the worst-case expected profit over these sets. We derive tractable and compact formulations in the form of a mixed integer program that can be solved efficiently via readily available standard software. Furthermore, we give theoretical insights into the structure of optimal solutions and worst-case uncertainties. The proposed approach offers the flexibility of matching solutions to the level of conservatism of the decision maker via two intuitive parameters: the anticipated number of sites to be inspected, and the number of products at each site that are anticipated to be at their worst-case non-compliance level. Varying these parameters when solving for the optimal products allocation provides different risk-return tradeoffs and thus selecting them is an essential part of decision makers’ strategy. We believe that the robust approach holds much potential in enhancing reliability in production planning and other similar frameworks in which the probability of random events depends on decision variables and in which the uncertainty of parameters is prevalent and difficult to handle.     

Parametrized reduced order modeling for cracked solids

A parametrized reduced order modeling methodology for cracked two dimensional solids is presented, where the parameters correspond to geometric properties of the crack, such as location and size. The method follows the offline-online paradigm, where in the offline, training phase, solutions are obtained for a set of parameter values, corresponding to specific crack configurations and a basis for a lower dimensional solution space is created. Then in the online phase, this basis is used to obtain solutions for configurations that do not lie in the training set. The use of the same basis for different crack geometries is rendered possible by defining a reference configuration and employing mesh morphing to map the reference to different target configurations. To enable the application to complex geometries, a mesh morphing technique is introduced, based on inverse distance weighting, which increases computational efficiency and allows for special treatment of boundaries. Applications in linear elastic fracture mechanics are considered, with the extended finite element method being used to represent discontinuous and asymptotic fields.     

Preparing construction supply chains for blockchain technology: An investigation of its potential and future directions

Blockchain, a peer-to-peer, controlled, distributed database structure, has the potential to profoundly affect current business transactions in the construction industry through smart contracts, cryptocurrencies, and reliable asset tracking. The construction industry is often criticized for being slow in embracing emerging techno-logies and not effectively diffusing them through its supply chains. Often, the extensive fragmentation, traditional procurement structures, destructive competition, lack of collaboration and transparency, low-profit margins, and human resources are shown as the main culprits for this. As blockchain technology makes its presence felt strongly in many other industries like finance and banking, this study investigates the preparation of construction supply chains for blockchain technology through an explorative analysis. Empirical data for the study were collected through semi-structured interviews with 17 subject experts. Alongside presenting a strengths, weaknesses, opportunities, and threats analysis (SWOT), the study exhibits the requirements for and steps toward a construction supply structure facilitated by blockchain technology.