Building Strategies Research Articles

Energy-saving cooling strategies in tunnel-ventilated dairy buildings: Computational fluid dynamics (CFD) simulations and validation

Ventilation is a key strategy for addressing heat stress in dairy cattle. In this study, we developed computational fluid dynamics (CFD) models for a 252-head free stall tunnel-ventilated dairy building equipped with ridge openings and circulation fans. A detailed cow model was developed for a standard 625 kg Holstein cattle. Both tube and floor cooling were developed as supplemental cooling strategies using a ground source heat pump while the ventilation fans continued to operate at a reduced air speed (30 to 65 % reduction). The average air velocity within the stalls for the control (1.4 ± 0.32 m s-1) was significantly higher than the average velocity achieved with floor cooling (1.02±0.41 m s-1) and tube cooling (0.69±0.21 m s-1) (p = 0.043). Despite lower air velocities, CFD simulations showed that the average temperature at cow resting height for tube cooling (27.9 ± 0.21 °C) was significantly lower than that for the control (28.6 ± 0.36 °C) and floor cooling (28.3 ± 0.14 °C) (p = 0.021). For 252 cows, the total electricity consumption for the control was 40,590 kWh during summer, while for floor cooling, it varied between 30,683 and 36,181 kWh, and for tube cooling, it ranged from 15,879 to 21,378 kWh. Ventilation-related greenhouse gas (GHG) emissions from the tunnel-ventilated barn were 0.12 t of CO2 eq. per cow. Future studies could investigate the impact of reduced airflow rates on air quality inside the buildings.

Interface characteristics and performance of additively manufactured steel-titanium bimetals prepared through composition gradient layers

In this study, laser-directed energy deposition (LDED), a powder-feeding laser additive manufacturing technique, was utilized to fabricate bimetals comprising high-strength steel (HSS) and Ti6Al4V (TC4). Through meticulous compositional control, four distinct regions (labeled Areas 1 through 4) comprising Fe-Ti intermetallics with varying sizes and morphologies were obtained at the LDEDed HSS/TC4 interface. These zones exhibited thicknesses of approximately 190 μm, 210 μm, 525 μm, and 205 μm, respectively. The effect of these intermetallics on the performance of LDEDed HSS/TC4 bimetals was investigated. The results indicated that most Fe-Ti intermetallics, characterized by reticular/granular morphologies or fine precipitates, were dispersed at the bonded interfaces (Areas 1, 3, 4). Nevertheless, irregular and long-striped C14_Laves phases were observed in Area 2, indicating the presence of a pure Fe2Ti region. Performance testing revealed that fractures predominantly occurred within a hard and brittle Fe2Ti region (Hardness: 891.5HV) during mechanical grinding or tensile clamping, highlighting the formidable challenge of achieving high-quality LDEDed HSS/TC4 bimetals through a component-regulated building strategy. The difficulty arises from the high Fe content in HSS and high Ti content in TC4, resulting in the formation of a pure Fe2Ti region at the interface. Thermodynamic calculations suggest that the composition-gradient-layer strategy may not be optimal for the integrated laser additive manufacturing of HSS and TC4. These findings provide valuable insights into the design of steel-titanium functional gradient materials and other multi-material components.

Factors influencing the adoption of artificial intelligence in e-commerce by small and medium-sized enterprises

The rapid evolution of technology has fundamentally transformed business operations. Therefore, companies are increasingly leveraging technology to enhance their processes and gain a competitive edge. In this context, the adoption of artificial intelligence (AI) in e-commerce has become a crucial area for business development. However, there is currently a lack of understanding regarding the key factors that determine the adoption of AI in e-commerce by small and medium-sized enterprises. Thus, to fill this gap, this study aims to investigate the factors influencing the adoption of AI tools in e-commerce for SMEs. This study will also explore how the adoption of AI by SMEs contributes to the business performance of these organizations. To achieve this, the study proposes an integrated model based on the dynamic capabilities framework, entrepreneurial orientation, and customer-centric systems. Empirical data for the current study were collected using a digital survey, which was disseminated to a purposive sample of SMEs in Saudi Arabia. Analysis of the collected data was performed using structural equation modeling (SEM), and the results support the role of both dynamic capabilities and entrepreneurial orientation in facilitating the adoption of AI in e-commerce. The study confirms of the significant role of AI adoption in enhancing the business performance of SMEs. This study seeks to make several theoretical contributions and implications for practice. This will also provide small and medium-sized companies with valuable insights that help in making decisions and building strategies. However, it is important to acknowledge the limitations of this study, which will be discussed later in the paper.

Dynamics of indoor volatile organic compounds and seasonal ventilation strategies for residential buildings in Northeast China

This study utilized a questionnaire survey to collect data from 265 residents in Changchun, encompassing building characteristics, ventilation frequency and overall satisfaction with the indoor environment. Statistical analysis revealed significant disparities in ventilation frequency and satisfaction with indoor temperature. The survey results indicate that the primary mode of indoor air exchange amongst Changchun residents is window ventilation, accounting for 93%. Field tracking was conducted to measure indoor air concentrations of volatile organic compounds (VOCs) in residential buildings during winter and summer seasons. The study revealed a significant increase in the average indoor/outdoor (I/O) ratio of the targeted 25 VOC concentrations in winter, rising from 10.8 to 17.7. The findings underscore indoor sources as predominant contributors to the measured VOCs. Temperature, humidity and room functions are the main factors affecting VOC concentration. Higher temperatures and increased relative humidity both contributed to elevated indoor VOC levels. This study recommended the opening of more windows during high temperature and high humidity in summer, to maintain good indoor air quality and effectively age the emission of VOCs from furniture. This study contributes to the enhancement of the database on indoor air quality and effective ventilation strategies in cold regions for safeguarding public health.

Training and capacity building: Developing a support framework for researchers using administrative data

BackgroundAdvances in data infrastructure and data access legislation supporting the safe use of securely held administrative data have led to increased data being available for research in recent years. While uptake by researchers has increased, opportunities for innovative, impactful research in the public interest outweigh the number of researchers using these data. Objective To drive up use, Administrative Data Research UK (ADR UK) embarked on the delivery of a Training and Capacity Building Strategy. Its objectives are to raise awareness across disciplines; to support more researchers to use administrative data for the first time; and to keep them using it for more advanced research, using a comprehensive researcher support framework. Approach By mapping potential users of administrative data across multiple career stages, we identified activities, products and approaches to test. These range from low-cost, high-reach activities to in-depth, targeted approaches, and include sustainable products to ensure longevity. ResultsTesting and evaluation of these varied approaches has enabled us to understand more about administrative data users and their needs, individually and collectively. They have underlined the need for sustained awareness and development of available data and opportunities, supported by accessible tools and resources to maintain momentum in what can be a frustrating research environment. Conclusions and ImplicationsThe framework we've created offers scaffolding from which to hang multiple approaches to drive up the use of administrative data. Communities and networks play an important role in supporting users in this niche area of study across different sectors and disciplines, and in creating a sustainable future for research in this field.

Investigating Ways to Mitigate the Effects of Wildfires on Structures

Wildfires are increasingly becoming a cause of concern with rising global temperatures. Understanding ways to mitigate wildfire impact on structures is vital for future development to reduce the risk of fire spread and destruction. Through my involvement with Dr. Mark Green’s research group, I gained a novel understanding of the importance of this global issue while also gaining insight into possible solutions. Doctoral student Tadele Getu writes about the factors influencing housing resiliency and mitigation measures elaborating on ways to reduce fire risk in homes. During my assistance with this paper, emphasis on the types of materials and housing building strategies were highlighted in the screening and data extraction process. Moreover, PhD student Branna MacDougal focuses her thesis on the impact of fire on insulated concrete panels. Using furnaces at the National Research Council, I witnessed the specimens’ performance under high temperatures. Assisting in the lab with MacDougal’s project, I helped test key factors that affected the panels' performance under high temperatures, such as the concrete’s strength. I also looked at the impacts of adhesives on wood specimens in collaboration with Joshua Woods and Post Doctoral student Bronwyn Chorlton under high heat by testing wood and rebar samples. Given Dr. Chorlton’s background in timber structures, I helped collect preliminary material for her future paper about mass timber by looking into encapsulated timber structures through standards and codes. Assisting Chorlton with this research has offered insight into the tools that are used for fire research such as the Satec Instron, for which I developed an instructional manual. Getting involved with these projects has provided me with insight into how engineering can be used to innovate against a big problem in our society that is the rising concern of wildfire occurrence.

Evaluating energy retrofit strategies in enhancing operational performance of mosques: A case study of Al-Imam Al-Hussein Mosque

Mosques are unique in terms of architectural design and operational efficiency. Architectural Design, building envelope characteristics, intermittent operating schedules, and occupancy patterns all impact the performance. Managing these factors poses challenges regarding reducing energy consumption and simultaneously achieving the occupants' thermal and visual comfort, especially in hot, arid climatic conditions. Also, the potential benefits of daylighting in reducing energy consumption in mosque buildings need to be addressed. Accordingly, this study evaluates the impact of various retrofit strategies on the operational performance of Al-Imam Al-Hussein Mosque, one of the large historic mosques in Cairo, considering the energy performance, thermal comfort, and daylighting performance. The current performance of the mosque has been analyzed using energy simulation software to determine the areas that affect its performance. Hence, five retrofitting strategies have been studied to assess their impact on improving the performance of the mosque. When changes are applied to the building envelope only by changing the glazing type, the visual discomfort is improved while sufficient daylighting is maintained inside the prayer area. By adding a cooling system and applying changes to the building envelope, thermal comfort was improved, and the visual discomfort decreased. However, this has led to an increase in energy consumption. Combining different strategies (as in strategy 5) by changing the glazing type, changing the operation scheme, adding LED lamps with dimmers, and adding a cooling system has improved the defined performance metrics. It has achieved a 23% decrease in the annual energy consumption, decreasing the visual discomfort by 30% while maintaining sufficient daylighting conditions inside the space, and enhancing occupants’ thermal comfort by 65%. The proposed approach aids in evaluating the retrofit strategies of mosque buildings, considering different criteria, including daylighting performance, to be energy efficient, sustainable, and maintain occupants’ visual and thermal comfort.

The effect of building strategies on tensile strength of additively manufactured parts by laser metal deposition

Abstract Laser Metal Deposition (LMD) is a powder-based technology. This technology can be used for surface coating, repairing and additive manufacturing. The property of the part is dependent on the building parameters of the process. In the research work, we use austenitic steel (316L) powder to produce blocks with different building strategies, from which we machine tensile test specimens. The patterns were prepared according to three strategies: the welded bands were parallel to the longitudinal axis of the test specimen, perpendicular to it, and finally the parallel and perpendicular directions were alternated. We perform hardness and tensile tests on these specimens and search for correlations between the strength and the strategies.

Damage mitigation strategies for progressive collapse of modular steel buildings following sudden corner module removal

AbstractThis study evaluates gravity‐induced progressive collapse performance and damage mitigation strategies in modular steel buildings (MSBs) A typical three‐dimensional six‐story structure was modeled and analyzed using the finite element method, focusing on the instantaneous removal of a corner module. The study includes a parametric evaluation of the influence of beam moment capacity on progressive collapse and investigates the effect of using concrete as an infill for square hollow section columns. Additionally, the effectiveness of short K‐shaped braces in limiting gravity‐induced collapse was assessed. A response/damage index (DI) was proposed to quantify the overall structural response. The findings indicate that semirigid beam‐column connections outperform fully rigid connections. Both concrete‐filled columns and K‐shaped braces mitigate structural damage, with K‐shaped braces proving more effective in preventing collapse. Although increasing the beam moment‐resisting capacity reduced the DI, improvements were marginal beyond 50% of the fully rigid connection capacity. Higher beam moment capacities reduced local vertical displacement at the corner joint but led to undesirable lateral deformations. Reducing beam rigidity/capacity by 25% mitigated global structural deformations. The optimal beam moment capacity was identified as 75% of the total section capacity when using concrete‐filled columns. K‐shaped braces applied at the column midpoint entirely prevented progressive gravity‐induced collapse and no lateral deformations were observed in braced structures with fully rigid beam‐column connections, unlike unbraced structures. Concrete‐filled columns offer a cost‐effective solution for preliminary production of MSBs, while K‐shaped braces are suitable for retrofitting existing buildings. Further research is necessary to address other parameters influencing the mitigation of progressive collapse in MSBs.

Interview

Resonance guest editor Charles Eppley speaks with Bill Solomon, Jerry Pergolesi, and Sarah Hennies of the Queer Percussion Research Group. They discuss the group’s recently published zine, barriers to funding for queer art, the cis-heteronormative orientations of new music and the percussion music repertoire, and how experimental artistic research can be a productive strategy for community building and self-expression.

Energy conservation strategies on academic buildings using interpretive structural modeling to develop energy sustainability

Effective energy conservation strategies are required to be implemented in academic buildings as they consume significant energy while considering the convenience and function of the buildings. However, the influencing factors are interrelated and complex, requiring an appropriate approach to unravel the complexity. Therefore, this study aims to identify, analyse, and map the interaction relationship between factors affecting energy conservation in academic buildings. This study used Interpretive Structural Modeling (ISM) procedure starting from developing the Structural Self Interaction Matrix (SSIM), converting SSIM into a Reachability Matrix, revising the matrix, and categorizing the factors by using MICMAC analysis. This study involved 9 factors, including architectural design, illumination technology, education and awareness, energy monitoring and management, renewable energy use, efficient HVAC system, energy-saving equipment, institutional policies, and campus community participation. The study found that renewable energy use at level 3 was the factor that was not influenced by and did not interact with any other factors. Meanwhile, the illumination technology was a factor that interacted with the efficient HVAC System factor which was at level 1 where these two factors were influenced by other seven factors. This study aligns with current developments in energy conservation, including an increased focus on renewable energy and energy efficiency in academic buildings, supported by global and national policies aimed at achieving sustainability goals. It provides a comprehensive understanding on developing sustainable energy conservation strategies in academic buildings.

The Role of AUKUS in Australia’s Military Capacity Building Strategy

This paper explores the role of AUKUS in enhancing Australia's military capacity amid evolving Indo-Pacific geopolitics. The AUKUS partnership between Australia, the UK, and the US aims to increase Australia's defense capabilities, focusing on nuclear-powered submarines, cyber security, AI, and underwater warfare. The analysis shows how AUKUS addresses Australia's military challenges by offering advanced technology and strategic support. The SSN-AUKUS submarines symbolize a major advancement in Australia's naval capabilities. The partnership also promises economic and social benefits, including job creation and infrastructure development. However, the study also notes potential drawbacks, such as increased regional tensions and the risk of an arms race, highlighting the need for balanced diplomatic effort.

MODELLING STUDY ON CENTRAL COURTYARD SHADING STRATEGY IN TROPICAL CLIMATE REGION MALAYSIA

A courtyard is an open multi-functional space and an effective daylight passive design strategy in a building. However, to have a courtyard in a tropical country, it had to deal with the issue of visual discomfort, which requires some consideration in adaptation to the climate condition. These visual comfort issues include inconsistent light distribution, inappropriate illuminance levels, glare, and a lack of shaded areas. The focus of this research paper is to address the solution of shading strategies towards the visual discomfort issues associated with courtyard spaces. The solution is done by modelling study method on courtyard ratios and courtyard configuration to determine the effect on the internal courtyard percentage shaded area. This research aims to explore the potential benefits of using courtyards as a daylight shading design as a strategy in buildings. Besides, it is also to examine courtyard design variables in enhancing visual comfort, particularly in the context of commercial building design in Malaysia. Kuala Lumpur is chosen to represent the tropical climate region. The aim is achieved by identifying optimum courtyard ratios that can improve daylight, shading, and visual comfort that make courtyards functional and usable spaces. Results show that a small and deep courtyard is found to be best suited to tropical climate conditions with the configuration of the courtyard’s height being double the size or more than the size of the courtyard’s width. This courtyard ratio is able to produce a full shaded area during daytime. While courtyard length does not have any impact on the percentage of shaded area, wide and narrow courtyard need to adapt to the tropical climate constraint by having aided shading strategies such as multi-layered height of trees, independent covered structures like a canopy or gazebo, shading panels, awnings, and extended roof overhangs.

Predictive modelling of cooling consumption in nursing homes using artificial neural networks: Implications for energy efficiency and thermal comfort

The growing need for cooling within the built environment, propelled by climate change and the expansion of nursing homes due to the increase in life expectancy, highlights the urgency of implementing energy-efficient strategies in buildings occupied by older populations. As of today, there remains a need for comprehensive research into the influence of indoor and outdoor conditions, building, operational, and occupant characteristics, on energy consumption specifically for nursing homes. This study develops a systemic artificial neural network-based model with a multi-layer perceptron architecture to assess HVAC energy implications during the cooling season for older populations. Using monitored data from eight nursing homes, the model includes cooling area, construction age, outdoor and indoor temperatures, and outdoor relative humidity as inputs, and cooling consumption as the output. Results show excellent predictive capability (R2=0.95), with mean error of −0.5 kWh, root mean squared error of 13.7 kWh, mean absolute error of 10.2 kWh, and relative error of 0.051. These outcomes are better compared to linear models (R2≈0.65) under the same data set. Adjusting operative temperatures adaptively can significantly enhance resident comfort and achieve up to 23.4 % energy savings, particularly in hotter, drier climates. These findings are of paramount importance for effective energy management in buildings.

Advancing Circular Buildings: A Review of Building Strategies for AEC Stakeholders

The uptake of a circular economy (CE) in the building sector is challenging, primarily due to the complexity associated with the design process and the dynamic interaction among architects, engineers, and construction (AEC) stakeholders. The standard and typical design process and construction methods raise concerns about building life cycles. Buildings should not only fulfill current needs, but one also needs to consider how they will function in the future and throughout their lifetime. To address these complexities, early planning is required to guide designers in holistically applying systems thinking to deliver CE outcomes. This paper outlines a critical review of CE implementation in buildings, with a proposed trifecta of approaches that significantly contribute to the development of circular buildings (CBs). The findings outline a proposed visualized framework with a conceptual formula that integrates CE design strategies to simplify and enhance AEC stakeholders’ perception of the circularity sequence in buildings. By strategically integrating loop-based strategies with the value retention process (VRP) and design for X (DFX) strategies, along with efficient assessment tools and technologies, it becomes feasible to embrace a CE during the design phase. The outcome of this review informs AEC stakeholders to systematically and strategically integrate the critical dimensions of a CE throughout the building life cycle, striking a balance between environmental concern, economic value, and future needs.

Microstructure and mechanical properties of GH4169 thin-walled parts fabricated by ultrasonic vibration assisted laser directed energy deposition/milling hybrid process

Ultrasonic vibration (UV) was employed for the first time to assist laser directed energy deposition/milling hybrid process (LMHP) in fabricating GH4169 thin-walled parts. The effects of building strategy, including UV-assistance, milling rounds, and building heights, on the thermal history, printability, microstructure, and mechanical properties of the fabricated thin-walled parts were systematically investigated. The thermal history analysis revealed that the UV-assistance resulted in a reduction in the average temperature of the laser scanning area, an increase in pore defects, and compromised surface finish due to an enlarged molten pool and enhanced heat transfer. Moreover, the thin-walled parts exhibited refined grain structure, equiaxed crystallization, homogenized element distribution, decreased proportion of the Laves phase, and increased strength with UV-assistance. Notably, the grain size was significantly reduced from a millimetre scale to 86.2 μm, while the average yield strength increased from 489.1 MPa to 523.6 MPa and the average ultimate tensile strength increased from 747.1 MPa to 830.4 MPa. Furthermore, introducing more hybrid-processed interfaces within a certain distance allowed for further grain refinement, enhanced strength, and decreased elongation in the GH4169 thin-walled part. This work is anticipated to provide a comprehensive understanding of the thin-walled parts fabricated by UV-assisted LMHP with high surface quality and superior mechanical properties.

How Does the Chinese Government Use Social Media to Control and Direct the Collective Actions of Overseas Chinese Communities

Through the analysis of social media platforms, this study hopes to understand how the Chinese government exerts specific influence on the behavior of overseas Chinese through these media, and further explore how the country indirectly supports the practice of national strategic policy through the control of social media platforms. This study will mainly analyze the data of the three major mainstream media (wechat, Weibo and Facebook) to study and discuss how the Chinese government uses the platform of social media to achieve its national strategic goals. In addition, the study assesses the role of such controls in supporting China's soft power building and national strategies such as the Belt and Road Initiative, and explores their potential long-term impacts and risks. By comparing implementation effects in different regions, this study provides an in-depth understanding of how the Chinese government uses social media to exert influence overseas in the context of globalization.

Driving Factors of Shading Adjustment Behavior Based on Social Cognitive Theory and Structural Equation Modeling

Research on occupant behavior is a crucial aspect of building energy-saving research. Among them, the shading adjustment behavior in buildings, which occurs frequently during building usage, significantly impacts building energy consumption. Due to the randomness of shading adjustment behavior and the complexity of its motivations, interdisciplinary research is required in this field. In order to better analyze the driving factors of shading adjustment behavior and thus provide a reference for promoting building energy-saving technologies and strategies, this paper employs novel methods for research. We establish a structural equation model based on social cognitive theory, then design a questionnaire and collect data. We utilize structural equation modeling to examine the interrelationships between different dimensions. We ultimately determine the connections between different driving factors of shading adjustment behavior. The results show that whether in the behavior of activating or deactivating shading, environmental factors have a positive correlation with personal factors, and both environmental and personal factors significantly influence shading adjustment behavior. Furthermore, within environmental factors, social environmental factors also significantly affect shading adjustment behavior. Lastly, comparing the behaviors of activating and deactivating shading, the impacts of light and thermal environmental factors on shading adjustment behavior show certain differences.

Advanced seismic control strategies for smart base isolation buildings utilizing active tendon and MR dampers

This paper investigates the seismic behaviour of a five-storey shear building that incorporates a base isolation system. Initially, the study considers passive base isolation and employs a multi-objective archived-based whale optimization algorithm called MAWOA to optimize the parameters of base isolation. Subsequently, a novel model is proposed, which incorporates an interval type-2 Takagi-Sugeno fuzzy logic controller (IT2TSFLC) utilizing clustering techniques. The building includes Magneto-rheological (MR) dampers installed at the base isolation level and two active tendons positioned on the first and second storeys of the structure. The semi-active control force of the base isolation with MR dampers is determined by the fuzzy system, while the active control force for the active tendons is computed using the linear quadratic regulator (LQR) algorithm, enabling control force provision during seismic events. The primary objective of this model is to enhance the seismic control of the building. Therefore, it is classified as a proposed model. The structural system is subjected to seismic analyses, considering three different structural configurations: uncontrolled, equipped with passive base isolation, and equipped with semi-active base isolation combining MR dampers and active tendons. The findings of the research demonstrate that by considering the optimization of parameters of the passive base isolation based on the white noise scenario and using these parameters as design parameters, during seismic analysis of the structure in some earthquakes, increased structural responses were observed when compared to uncontrolled structure, highlighting a potential risk. Nevertheless, the proposed system effectively addresses this drawback of passive control systems by markedly reducing structural responses, as compared to both passive base isolation and uncontrolled structure. These results suggest that the proposed system is an effective solution for mitigating seismic risks in structural seismic control.

The priority scale determination in sustainable maintenance strategy for university building based on the analytical network process (ANP)

The priority scale determination in sustainable maintenance strategy for university building based on the analytical network process (ANP)