Residential Components Research Articles

Bending Properties of Cold-Formed Thin-Walled Steel/Fast-Growing Timber Composite I-Beams

A cold-formed, thin-walled steel/fast-growing timber composite system has recently been presented for low-rise buildings. It aims to increase the use of fast-growing wood as a green building material in structures, thus contributing to the transformation of traditional buildings. This study proposed a composite I-beam combined with fast-growing radiata pine and cold-formed thin-walled U-shaped steel. A four-point bending test was used to measure the bending properties of steel–timber composite I-beams under various connection methods. Based on experimental results, this study examined the specimen’s failure mechanism, mechanical properties, and strain development. In addition, a method for calculating flexural bearing capacity based on the superposition principle and transformed section method was suggested. It is evident from the results that fast-growing timber and cold-formed thin-walled steel can have significant composite effects. Different connecting methods significantly impact beams’ failure mode, stiffness, and bearing capacity. Furthermore, the theoretical method for calculating the flexural bearing capacity of composite beams differs from the test value by less than 10%. This paper’s research encourages the applications of fast-growing wood as light residential components, and it serves as a reference for the development, production, and engineering of steel–timber composite structural systems.

Termite Identification Attacks on Buildings

House construction continues from time to time, the frequency of termite attacks on buildings in the area is also very high due to the disturbance of the termite's natural habitat. Termites target the structural wood of buildings and objects derived from cellulose. This study aims to analyze the diversity of termite, house component damage, the relationship between the age and condition of building in Jakarta, Indonesia . This study used a purposive sampling method from 134 houses in Jakarta, Indonesia with a cross-sectional approach. The research procedures included taking and identifying specimens, analyze the intensity percentage of building damage, analyze the relationship between the age of the building and the condition of the building, and environmental factors. Based on the results of research conducted on 134 houses in Jakarta, it is concluded that there are four types of termites in the study sites: C. curvignathus (61.14%), M. gilvus (18.65%), M. inspiratus (10.88%), and C. cynocephaus (9.33%). The worst damage to residential components is found in the sills. Based on statistical tests, there is a correlation between age and the condition of the building. It indicates that the age of the building is significantly related to its condition.

The essence of being a year nine teacher

Year nine students present a perpetual problem to schools and teachers alike. Typically aged 14 or 15 years old, year nines simultaneously experience puberty and adolescence. These converging life stages result in students’ whom teachers have described as being lost, disengaged and, more alarmingly, in never-never land. A largely unrecognised group of schools and teachers in Victoria, Australia, have chosen a novel approach to engaging year nine students through specific schooling structures and targeted curriculum—I term these approaches year nine programmes. These programmes typically involve different structures to mainstream schooling, including residential components, a greater focus on learning through experience and the use of an integrated curriculum. This paper shares the stories of six teachers who work on one such programme. The stories of the teachers are shared using phenomenological found poetry in search of the ‘essences’ of being a year nine teacher. Through the presentation of these essences, I argue that teachers of year nine programmes are required to have an accoutrement of skills, in addition to the skills needed by teachers who work in more mainstream settings.

A comparative study of environmental impacts due to conventional and sustainable concrete

There are countless options for construction materials in the market nowadays. Various materials are developed depending on their strength, durability, economy, and sustainability. But who will estimate how these materials will affect the environment? Yes, everything that exists on this planet contributes to or creates environmental pollution in some way. Since concrete is the second most widely used material on Earth and as it increases carbon emissions that are hazardous for both humans and the environment it is vital to quantify the impacts. Therefore, utilizing the eco-invent database and the Open-LCA software, the Life Cycle Assessment (LCA) of conventional concrete which has been used in G + 5 residential building components, and sustainable concrete which is obtained by replacement of eco-friendly materials is presented in this study. A comparative study of environmental impacts is also done. In order to take the required steps to reduce the effects on nature, choosing sustainable materials and evaluating the environmental impacts are essential. The findings demonstrate that choosing eco-friendly materials that have comparable properties to traditional building materials can help lessen negative environmental effects.

Artificial neural networks based multimodal device for autism spectrum disorder.

The neuro developmental condition known as Autism Spectrum Disorder (ASD) affects people on a lifetime basis and exhibits itself in a wide range of ways. In this research work a brand-new semi-supervised training method for the recognition of discrete multi-modal autism spectrum disorder is proposed. At the coarse-grained level, we consider that various methodologies are anticipated to explore equivalent information about child autism. To build DC AlexNet, this combines two small network branches and a large network (trunk network). The network trunk is programmed just to become familiar with the distinguishing characteristics shared by face images at different resolutions. It is built using recently suggested residential components. To project images to a place where their ranges are as little as possible, two branch networks are programmed to learn coupled-mappings (CMs) that are particular to a given resolution. The suggested technique is properly assessed utilizing the databases for the OMEGE and DIAEMO datasets by evaluating it to state-of-the-art techniques in terms of many parameters. Deep Coupled AlexNet is developed to obtain 98.13 % of accuracy, 95.1 % of precision, 94.3 % of recall and 95.4 of F1-score for OMEGE dataset. Moreover, 98.6 % of accuracy, 97.2 % of precision, 98.5 of recall and 97.5 % of F1-score for DIAEMO dataset (Tab. 8, Fig. 10, Ref. 16). Keywords: autism spectrum disorder, artificial neural networks, emotion recognition, interaction design, multimodal factors.

What will the water quality of the Yangtze River be in the future?

The long-term prediction of water quality is important for water pollution control planning and water resource management, but it has received little attention. In this study, the water quality trend in the Yangtze River is found to stabilize at most monitoring stations under environmental protection activities. Based on the physical mechanism and stochastic theory, a novel river water quality prediction model combining pollution source decomposition (including local point, local nonpoint and upstream sources) and time series decomposition (including trend, seasonal and residential components) is developed. The observed water quality data from 76 monitoring stations in the Yangtze River, including permanganate index (CODMn) and total phosphorus (TP), are used to drive this model to make long-term water quality predictions. The results show that this model has an acceptable accuracy. In the future, the concentration of CODMn will meet the water quality targets at most stations in the Yangtze River, but the concentration of TP will not be able to meet the water quality target at 28.5 % of the stations. Furthermore, the prediction value of CODMn is 62.2 % lower than the target on average. However, the prediction value of TP is only 24.4 % lower than the target on average, and it will exceed the water target by >50 % at some stations. This model has the potential to be widely used for long-term water quality prediction in the future.

Reducing staff burnout and turnover intentions in juvenile justice residential commitment programs: The promise of trauma-informed care

PurposeThis study investigates the relationship between perceptions of Trauma-Informed Care (TIC), burnout, and turnover intentions among juvenile justice staff members in residential commitment programs. MethodsDrawing data from a sample of Florida juvenile justice staff, a series of two-level mixed-effects linear regression models nesting staff survey responses (N = 1281) within residential program components (N = 58) regressed burnout and turnover intentions on five domains of organizational TIC—TIC Training, Trauma Screening and Procedures, Staff Safety, Attitudes Towards TIC, and TIC Complications and Barriers—and other confounding influences. Additional regression models utilizing the Karlson-Holm-Breen method consider the direct and indirect effects of TIC. ResultsThe results indicated that staff perceptions of key TIC domains, namely TIC Training and Trauma Screening and Procedures, and Staff Safety were predictive of burnout; however, the relationship between TIC measures and burnout was mediated by perceptions of Staff Safety. Additionally, staff turnover intentions were largely a function of staff perceptions of safety and burnout, with these factors again mediating the effect of TIC. ConclusionsTIC represents a popular service model for human service agencies working with trauma-exposed clients. This study is the first to assess how staff perceptions of organizational TIC impact burnout and turnover intentions in a juvenile justice setting. It suggests that aspects of organizational TIC have the potential to reduce burnout and increase employee retention by improving workplace physical and emotional safety.

The Coming Rise in Residential Inflation

Abstract We study how the recent run-up in housing and rental prices affects the outlook for inflation in the USA. Housing held down the overall inflation in 2021. Despite record growth in private market-based measures of home prices and rents, the government-measured residential services inflation was only 4% for the 12 months ending in January 2022. After explaining the mechanical cause for this divergence, we estimate that, if past relationships hold, the residential inflation components of the Consumer Price Index (CPI) and Personal Consumption Expenditure (PCE) are likely to move close to 7% during 2022. These findings imply that housing will make a significant contribution to overall inflation in 2022, ranging from one percentage point for headline PCE, to 2.6 percentage points for core CPI. We expect residential inflation to remain elevated in 2023.

A micro-scale study on the spontaneous spatial improvement of in-between spaces in Chinese traditional districts considering the relationship between modifications and encroachment

ABSTRACT As the transition between streets and houses, in-between spaces represent unique and important residential components in East Asia, which reflect the spontaneous spatial improvement awareness of users in traditional districts and the state of public-private relations. To fill a gap in prior research regarding in-between spaces after spontaneous spatial improvement in traditional districts, this study considered 97 houses on Jiazhi Street and evaluated the two expressions of spontaneous spatial improvement of in-between spaces by quantifying modification indicators and encroachment using field surveys and area statistical methods. The research examined the correlation between various modifications and encroachment using multiple regression analysis and evaluated the characteristics of spontaneous spatial improvement by users based on multi-group relationships. The results offer a new perspective for observing the changes in residential environments in the context of urbanization, thus providing a basis for developing renewal strategies for traditional districts in China.

Destruction Feature Extraction of Prefabricated Residential Building Components Based on BIM

In order to improve the damage feature extraction effect of prefabricated residential building components and improve the structural stability of prefabricated residential components, this paper applies BIM technology to the structural feature analysis of prefabricated residential components. Moreover, this paper adopts the simple superposition method and combines the first strength theory of material mechanics to derive the formula for calculating the cracking torque of prefabricated residential building components under compound torsion. In addition, based on the variable-angle space truss model, this paper uses a simple superposition method to derive the calculation formula for the ultimate torque of composite torsion of fabricated residential building components and applies it to the BIM fabricated residential model. Finally, this paper constructs an intelligent BIM prefabricated residential building construction damage characteristic monitoring system. Through experimental research, it can be seen that the intelligent BIM prefabricated residential building construction damage feature monitoring system proposed in this paper can monitor the damage characteristics of prefabricated residential building construction and can predict the evolution of subsequent building features.

Analysis of the Repair Time of Finishing Works Using a Probabilistic Approach for Efficient Residential Buildings Maintenance Strategies

In general, the long-term maintenance planning of residential buildings is performed based on uniform repair times. However, in fact, various factors, such as the quality and user patterns, affect the performance of residential building components in the Operation and Maintenance (O&M) phase. Hence, various residential building components are repaired at uncertain times, acting as a risk for the residential building maintenance plan. Therefore, an efficient maintenance plan should be established considering maintenance uncertainty. In this regard, this study aims to analyze the uncertainty of repair times for various finishing works in residential buildings based on a probabilistic methodology and outline the implications for the establishment of efficient maintenance strategies in these buildings. Hence, 47,344 repair data for 63 buildings in 12 public residential building complexes completed between 1991 and 2001 in the Republic of Korea were used for analysis. Before the analysis, a repair time matrix was constructed by classifying the finishing works in 25 types and setting service life times to 6–26 years. The repair time distribution for each finishing work was then derived. Results confirmed that basic repair time setting can be performed and various information for reasonable maintenance decision making regarding each finishing work can be provided through a probabilistic approach. The probabilistic approach can be used as a critical decision-making method because there is uncertainty associated with the repair time of each finishing work owing to the performance degradations of various finishing works due to complex causes. Although this study focused on repair time owing to data collection limitations, maintenance strategies with strategic flexibility can be established by developing probabilistic methods that simultaneously consider frequency and cost by securing additional high-quality cost data.

ASSESSING THE CURRENT IMPLEMENTATION OF COMPACT AND MIXED-USE DEVELOPMENT WITHIN PUBLIC RAIL TRANSIT STATIONS IN MALAYSIA

In the past years, the concept of Transit-Oriented Development has been adopted in cities and countries including Malaysia and Singapore. The integration of land use and public transport stations through Transit Oriented Development (TOD) as part of urban and cities strategy is highly acclaimed in promoting sustainable development concept in cities development. To understand the performance of TODs implementation in Klang Valley, this study has selected eleven stations in of Mass Rapid Transit (MRT) Putrajaya Line as case studies. This paper aims to evaluate the current implementation of TODs in Malaysia, benchmarked against the TOD land use composition and percentage from Singapore’s model. The findings show that Raja Uda, Ampang Park and Persiaran KLCC stations show significant performance. However, Bandar Malaysia North station displayed poor result with the lowest percentage of residential and commercial components. All stations did not achieve the ideal TOD value for residential land use and eight out of eleven stations recorded higher than the ideal TOD value for roads. However, highest number of stations achieved the ideal TOD value for mixed-use and commercial land uses. These results would help policymakers to improve the current implementation of TODs in Malaysia.

WATT progresses production of residential SOFC unit components

The analytical technique DGT (Diffusive Gradients in Thin-films) is able to gain access to a wealth of information by carefully interpreting accumulation data from passive samplers with different configurations (i.e. different thicknesses of its constituent layers). A set of DGT devices were simultaneously deployed in solutions of Ni and nitrilotriacetic acid (NTA) of different concentrations to measure the availability of Ni in these solutions. Accumulations indicate that the availability of Ni depends on both the thickness of the resin and the thickness of the diffusive gel. In both cases, the lability degree increases as the thickness increases. As the formation of successive complexes (such as Ni(NTA)2) proceeds, the availability of the metal decreases, which is quantitatively explained by reducing the formulation to a case with only one complex, but with an effective dissociation rate constant that decreases as the concentration of NTA increases. Simple analytical expressions are reported to quantify the lability degree in the different DGT configurations. These results indicate that a set of different DGT devices can characterize the availability of a cation in a natural sample with uptake processes at different spatial or time scales. Alternatively, and from a more fundamental point of view, information on speciation, mobilities and labilities of the species present in natural samples can be obtained with a set of DGT configurations.

A Forensic Engineering Approach to Documenting and Analyzing Domestic Plumbing Failures

Forensic engineering analysis of residential plumbing components can be a daunting task, particularly due to the manner in which they may be handled from the onset of a failure event. Usually, a water loss is discovered by a homeowner or tenant of a building where the source of the leak is easily determined. Remediation of a plumbing loss is likely to begin quickly and often compromises the investigation (i.e., the condition of the failed component changes, connections to the plumbing system are removed, etc.). Under most circumstances, the evidence is handled and collected by people without forensic training, such as the occupant or plumber, making spoliation a significant concern. This paper will discuss the scientific processes and evidence handling techniques utilized by forensic engineers to determine whether a product defect, installation defect, environmental condition, maintenance, or wear and tear were contributory factors to a plumbing loss.

A Scalable and Distributed Algorithm for Managing Residential Demand Response Programs Using Alternating Direction Method of Multipliers (ADMM)

For effective engagement of residential demand-side resources and to ensure efficient operation of distribution networks, we must overcome the challenges of controlling and coordinating residential components and devices at scale. In this paper, we present a distributed and scalable algorithm with a three-level hierarchical information exchange architecture for managing the residential demand response programs. First, a centralized optimization model is formulated to maximize community social welfare. Then, this centralized model is solved in a distributed manner with alternating direction method of multipliers (ADMM) by decomposing the original problem to utility-level and house-level problems. The information exchange between the different layers is limited to the primary residual (i.e., supply-demand mismatch), Lagrangian multipliers, and the total load of each house to protect each customer’s privacy. Simulation studies are performed on the IEEE 33 bus test system with 605 residential customers. The results demonstrate that the proposed approach can reduce customers’ electricity bills and reduce the peak load at the utility level without much affecting customers’ comfort and privacy. Finally, a quantitative comparison of the distributed and centralized algorithms shows the scalability advantage of the proposed ADMM-based approach, and it gives benchmarking results with achievable value for future research works.

Evaluation of the Environmental Performance of Residential Building Envelope Components

The role of buildings in the context of addressing the consequences of climate change and the energy deficit is becoming increasingly important due to their share in the overall amount of green house gas (GHG) emissions and rapidly growing domestic energy consumption worldwide. Adherence to a sustainability agenda requires ever-increasing attention to all stages of a building′s life, as such approach allows for the consideration of environmental impacts of a building, from design, through construction stages, until the final phase of a building′s life—demolition. A life cycle assessment (LCA) is one of the most recognized and adopted models for the evaluation of the environmental performance of materials and processes. This paper aims to perform an LCA of four different types of residential buildings in Nur-Sultan, Kazakhstan. The assessment primarily considered embodied energy and GHG emissions as key assessment indicators. Findings suggest that the operational stage contributed to more than half of the GHG emissions in all the cases. The results of the study indicate that there is a dependence between the comfort levels and the impact of the buildings on the environment. The higher the comfort levels, the higher the impacts in terms of the CO2 equivalent. This conclusion is most likely to be related to the fact that the higher the comfort level, the higher the environmental cost of the materials. A similar correlation can be observed in the case of comparing building comfort levels and life-cycle impacts per user. There are fewer occupants per square meter as the comfort level increases. Furthermore, the obtained results suggest potential ways of reducing the overall environmental impact of the building envelope components.

Circular and Flexible Indoor Partitioning—A Design Conceptualization of Innovative Materials and Value Chains

This article sheds light on the materialization and operation of residential partitioning wall components in relation to circular and flexible performance. The hypothesis is twofold: (1) A stronger integration of materialization and operation aspects is indispensable in establishing sustainable value-models, and (2) recent innovations, concerning the reversibility of material connections, will help disrupting the status-quo in that respect. Attention is drawn to renewable natural fibre composites (NFC), reversible adhesives, and biodegradable insulation materials. After a background sketch regarding the notion of time, change, and material circularity in design and planning, the housing challenge in the Amsterdam metropolitan area (AMA, the Netherlands) is described. Next, a design conceptualization stage is introduced, informed by two methods and tools in particular: Circ-Flex assessment, and activity-based spatial material flow analysis. Results of the conceptualization stage are presented regarding materialization and operation, culminating in Circ-Flex partitioning components, more specifically: Side panels and insulation. It was found that NFC can tackle current issues relating, most prominently, to circularity performance. Associated modifications in the value-chain occur, above all, in raw material sourcing, manufacturing, reutilization logistics, and data-sharing. The outcomes are valid for multiple building components other than indoor partitioning, such as kitchens and furniture, but also insulation—and interior side-sheeting—of walls and roofs in energy-renovations.

Improving the Sustainability of Traditional Dwellings in Yunnan, China: Seismic Resistance Testing of Wood-frame and Earth-Built Wall Dwellings

The Southwest provinces of China are locations with a rich variety of different dwelling design typologies based on traditional cultures and ethnic groups. In this area, the Province of Yunnan has many such dwelling types, and it is also an area with most frequent earthquakes in China. The seismic problems of housing structure must therefore be solved as part of the study on sustainable development of villages to provide relevant advice for future design options. This paper reports research, which evolved over a ten-year period that deals with the seismic capacity of residential buildings. Simulations using shaking table tests were carried out to assess the performance of traditional residential structures as well with the impacts of material modifications and the structural strengthening of common residential building components found in Yunnan. Relevant and pertinent construction technology solutions that could enhance the seismic capacity of residential buildings and act as innovative improvements for the sustainability of rural dwellings are suggested.

Racial Residential Segregation and Airborne Fine Particulate Matter Components in the United States

Racial Residential Segregation and Airborne Fine Particulate Matter Components in the United States

Residential aged care residents and components of end of life care in an Australian hospital

BackgroundWith ageing of Australians, the numbers of residential aged care (RAC) residents is rising. This places a spotlight on decisions about appropriate care for this population, including hospitalisation and end-of-life (EOL) care. The aim was to study a sample of RAC residents who attended and died in hospital, to quantify measurable components of EOL care so as to describe the extent of palliative care required.MethodsA retrospective case-note review of hospital records was conducted in Adelaide, Australia. Participants were 109 RAC residents who attended from July 2013 to June 2014 and died in hospital.Measurements were advance care planning, health care input from the RAC facilities to hospital and components of EOL care. Residents with and without advanced dementia were compared.ResultsAdvance care directives (ACDs) were present from 11 to 50%, and advance care plans (ACPs) at 60%. There were more ACPs, resuscitation orders (for/against) and do-not-hospitalise orders in residents with advanced dementia than those without. General practitioner (GP) and extended care paramedic (ECP) input on decisions for hospital transfer were 30% and 1 %. Mean hospital stay to death was 5.2 days. For residents admitted under non-palliative care teams, specialist palliative care (SPC) was needed for phone advice in 5%, consultation in 45%, transfer to palliative care unit in 37%, and takeover by SPC team in 19%. Mean number of documented goals-of-care discussions with family/caregiver was 1.7. In the last 3 days of life, the mean daily number of doses of EOL medications was 4.2. Continuous subcutaneous infusion was commenced in 35%.ConclusionStaff in RAC need to be adequately resourced to make complex decisions about whether to transfer to hospital. RAC nurses are mainly making these decisions as GP and ECP input were suboptimal. Ways to support nurses and optimise decision-making are needed. Advance care planning can be improved, especially documentation of EOL wishes and hospitalisation orders.By describing the components of EOL care, it is hoped providers and policy makers have more information to assist with making decisions about what is the most appropriate care for this population.