Building Design Research Articles

Analysis and Design of Pre-Engineered Industrial Warehouse Building with Different Standard

Over the years, pre-engineered building (PEB) has emerged as a sustainable alternative to conventional concrete construction as well as conventional steel construction. In this paper, pre-engineered industrial warehouse building will be design with different codal provision using software Staadpro and analyzed with different loads on building i.e. dead load, live load, collateral load, wind load and load combinations on building .The main objective of this study to find the optimum weight of steel quantity in building with use of different country codel provision .

Dynamics of the Euler — Bernoully beam with distributed hysteresis properties

In this paper, we present a new mathematical approach to the analysis of a beam with distributed hysteresis properties. These hysteresis characteristics are described by two methods: phenomenological (Bouc — Wen model) and constructive (Prandtl — Ishlinskii model). The equations for beam are developed using the well-known Hamilton method. We investigate the dynamic response of a hysteresis beam under various external loads, including impulse, periodic and seismic loads. The results of numerical simulations show that the hysteresis beam exhibits differently to external influences as compared to the classical Euler-Bernoulli beam. In particular, under the same external loads, the vibration amplitude and energy characteristics of the hysteresis beam are lower than those of the classical one. These findings can be useful for buildings developers in the design of external load resistant buildings and structures

PAMAM-Calix-Dendrimers: Third Generation Synthesis and Impact of Generation and Macrocyclic Core Conformation on Hemotoxicity and Calf Thymus DNA Binding

Background/Objectives: Current promising treatments for many diseases are based on the use of therapeutic nucleic acids, including DNA. However, the list of nanocarriers is limited due to their low biocompatibility, high cost, and toxicity. The design of synthetic building blocks for creating universal delivery systems for genetic material is an unsolved problem. In this work, we propose PAMAM dendrimers with rigid thiacalixarene core in various conformations, i.e., PAMAM-calix-dendrimers, as a platform for a supramolecular universal constructor for nanomedicine. Results: Third generation PAMAM dendrimers with a macrocyclic core in three conformations (cone, partial cone, and 1,3-alternate) were synthesized for the first time. The obtained dendrimers were capable of binding and compacting calf thymus DNA, whereby the binding efficiency improved with increasing generation, while the influence of the macrocyclic core was reduced. A dramatic effect of the macrocyclic core conformation on the hemolytic activity of PAMAM-calix-dendrimers was observed. Specifically, a notable reduction in hemotoxicity was associated with a decrease in compound amphiphilicity. Conclusions: We hope the results will help reduce financial and labor costs in developing new drug delivery systems based on dendrimers.

Integrating Machine Learning and Genetic Algorithms to Optimize Building Energy and Thermal Efficiency Under Historical and Future Climate Scenarios

As the global energy demand rises and climate change creates more challenges, optimizing the performance of non-residential buildings becomes essential. Traditional simulation-based optimization methods often fall short due to computational inefficiency and their time-consuming nature, limiting their practical application. This study introduces a new optimization framework that integrates Bayesian optimization, XGBoost algorithms, and multi-objective genetic algorithms (GA) to enhance building performance metrics—total energy (TE), indoor overheating degree (IOD), and predicted percentage dissatisfied (PPD)—for historical (2020), mid-future (2050), and future (2080) scenarios. The framework employs IOD as a key performance indicator (KPI) to optimize building design and operation. While traditional indices such as the predicted mean vote (PMV) and the thermal sensation vote (TSV) are widely used, they often fail to capture individual comfort variations and the dynamic nature of thermal conditions. IOD addresses these gaps by providing a comprehensive and objective measure of thermal discomfort, quantifying both the frequency and severity of overheating events. Alongside IOD, the energy use intensity (EUI) index is used to assess energy consumption per unit area, providing critical insights into energy efficiency. The integration of IOD with EUI and PPD enhances the overall assessment of building performance, creating a more precise and holistic framework. This combination ensures that energy efficiency, thermal comfort, and occupant well-being are optimized in tandem. By addressing a significant gap in existing methodologies, the current approach combines advanced optimization techniques with modern simulation tools such as EnergyPlus, resulting in a more efficient and accurate model to optimize building performance. This framework reduces computational time and enhances practical application. Utilizing SHAP (SHapley Additive Explanations) analysis, this research identified key design factors that influence performance metrics. Specifically, the window-to-wall ratio (WWR) impacts TE by increasing energy consumption through higher heat gain and cooling demand. Outdoor temperature (Tout) has a complex effect on TE depending on seasonal conditions, while indoor temperature (Tin) has a minor impact on TE. For PPD, Tout is a major negative factor, indicating that improved natural ventilation can reduce thermal discomfort, whereas higher Tin and larger open areas exacerbate it. Regarding IOD, both WWR and Tin significantly affect internal heat gains, with larger windows and higher indoor temperatures contributing to increased heat and reduced thermal comfort. Tout also has a positive impact on IOD, with its effect varying over time. This study demonstrates that as climate conditions evolve, the effects of WWR and open areas on TE become more pronounced, highlighting the need for effective management of building envelopes and HVAC systems.

Developing Programs for Converting MIDAS GEN to ANSYS Models Based on Python

The reasonableness and accuracy of engineering design are often assessed through the use of a variety of structural design analysis software, which are then compared and verified. However, it is challenging for a single analysis software to meet the diverse and complex design requirements. In order to meet the specific engineering requirements, it is necessary to convert the MIDAS result model into an ANSYS structural model and conduct a nonlinear analysis and simulation in ANSYS. Nevertheless, the existing interface is unable to facilitate direct conversion of the model. Accordingly, this paper presents a Python-based ANSYS APDL program that enables the complete conversion of MIDAS GEN structural models to ANSYS finite element models. The program is capable of converting a range of data, including material, section, element, connection, load, node mass, constraint, time history function, and so forth. The program is capable of converting specific connection units, including elastic and general connection units. Additionally, the beam-column section direction, beam end freedom release, rigid element, and special anti-rocking structure of the structure can be considered. Ultimately, the theatre model is transformed. Following a comparison of the analysis results, it was found that the mass and mode of the model before and after the transformation were essentially identical. The maximum error of the first six orders of the structure is 2.95%, with the structural displacement under gravity load remaining essentially unchanged. The research and analysis demonstrate the accuracy and reliability of the MIDAS GEN conversion ANSYS program. The conversion program significantly reduces the time required for direct modeling in ANSYS, enhancing work efficiency. The study has considerable practical significance for the seismic sway design and analysis of buildings based on vibration isolation design.

Evaluating the Effect of Adaptive Reuse in the Energy Performance of Historic Buildings: A Case Study from Türkiye

The building sector accounts for 30% to 40% of total energy consumption, and historic buildings play an important role in this proportion. Historical buildings that do not meet the required comfort conditions for the residents are adaptively reused, with various revisions. Recognizing the energy design of a historical building in its original condition and comparing the current situation can help create future solutions. This study examines the changes that a historic house in a hot climate zone in Türkiye experiences, from its original state up until the current situation. Energy analyses of the pre- and post-restoration situation are carried out, and the effect of adaptive reuse decisions on the energy performance of the building is investigated. A dynamic thermal simulation created with DesignBuilder was used to identify the energy use, carbon emissions, and thermal comfort. TM59 adaptive thermal comfort was used for the pre-restoration and the Fanger model for the post-restoration phase. This building, which was repurposed from a three-block residence, consists of a four-block hotel. Although the preservation of its original value is at the forefront, various structural changes were observed. The analysis demonstrates a higher occurrence of discomfort hours during summer compared to winter, consistent across both phases. Furthermore, energy consumption increased significantly, predominantly for heating, representing a doubling of energy use during the post-restoration phase. This is attributed to the building’s conversion into a hotel and the use of mechanical systems. Future research is required to develop strategies to reduce the energy consumption, carbon emissions, and discomfort hours while maintaining the value of the historic building and its materials.

Predicting Housing Prices Using Supervised Machine Learning Models

Abstract: Variations in housing prices exert a profound impact on economic policies and personal financial decisions. This study aims to delve into the factors that affect housing prices and construct a predictive model using machine learning techniques. Machine learning enables computers to acquire knowledge from data and make predictions or decisions. This study forcasts house prices by analyzing the characteristics of data from Seattle, Washington using machine learning multiple linear regression, polynomial regression, and K-nearest neighbors regression (KNN). The findings of this investigation demonstrate that the polynomial regression model is the most accurate in predicting housing prices and can capture nonlinear relationships in the data more effectively than multiple linear regression and K-nearest neighbors regression. The main factors affecting housing prices are interior living space and the construction and design of buildings. These insights hold potential for enhancing government policies, facilitating effective land use decision-making by planners, and enabling investors to make more informed choices.

Transparent and Thermally Stable Rare-Earth-Doped Luminescent Gallate Glass toward Passive Daytime Radiative Cooling Applications.

Currently, the implementation of passive daytime radiative cooling based on zero-energy cooling methodologies primarily focuses on polymers and composite materials, whereas the available literature on all-inorganic materials is relatively few. Here, we present a novel microcrystalline glass material CaGa0.5Al1.5O4 (CGAO), doped with rare-earth elements and prepared by the high-temperature melting method. This material exhibits long-term stability at 200 °C, coupled with an effective infrared radiation cooling function, demonstrating a 4.9 °C temperature reduction at solar noon. The energy transfer and luminescence mechanisms of Tb3+ and Sm3+ doped CGAO glass have been thoroughly investigated, along with thorough assessments of its thermal stability and hardness. The glass exhibits ultrahigh light transmission in the ultraviolet to near-infrared range, with the transmittance reaching 98% in specific spectral bands. Furthermore, it demonstrates superior luminescent thermal stability, retaining 85.6% and 71.2% of its initial luminescence intensity at 423 and 523 K, respectively. The high-temperature resistance and stability and long-term cooling properties render CGAO glass as an optimal candidate for integration into future energy-efficient and sustainable building designs.

Exploring the Interaction and Impact of Green Building Design on People and Space

Abstract: With the progress and development of society, people's living standards improve at the same time, environmental pollution and resource shortages environmental problems also come. Construction engineering is one of the largest energy-consuming industries in China, and the implementation of a sustainable development strategy has become a top priority. Therefore, the state put forward the concept of greening and sustainable development, and green building has become a mainstream design concept. The purpose of this paper is to elaborate on the principles and design points of green building design and to study and discuss the application cases of green building design. Analyze the interaction and impact of green building design on people and space by analyzing the effects and impacts of the implementation of different designs in green building design cases, including focusing on siting design, ventilation design, energy efficiency design, recyclable design, plant design, and lighting design. Summarise the importance of applying green building design concepts and effective designs that have a positive impact on people. The results of the study can provide practical suggestions on improving the sustainability and eco-friendliness of green buildings for green building design stakeholders, such as architects, policymakers, and related stakeholders, and this study has certain reference values and significance.

A fire risk pre-warning framework for high-rise buildings based on unascertained method.

The growing global interest in preventing and controlling fires in high-rise buildings reflects the increasing significance of this issue today. This research aims to establish an early warning framework for fire risk in high-rise buildings. Firstly, considering the importance of a scientific indicator system for the application of the model, this study combines the event analysis method with the building design fire code to identify 11 key risk factors that have a far-reaching impact on the prevention of fires in high-rise buildings. Based on identifying the risk factors, a high-rise building fire risk warning tree is also established, which scientifically solves the problem of the indicator system of the warning object. Subsequently, in response to the various complex issues arising from the uncertainty of fire occurrence in high-rise buildings, this study adopts the unascertained method to model the fire risk of high-rise buildings for early warning. In addition, the developed methodology was empirically validated through case studies and analyses of empirical data on fire risks in nine representative high-rise buildings. The results of the unascertained method were also compared with the results of the K-means method, from which it was concluded that the unascertained method can predict building fires more accurately. The research results provide a reliable decision support system for fire disaster prevention and control in high-rise buildings.

A BIM-integrated Thailand building energy code framework for building envelope thermal requirements in a conceptual design stage

This work presents the development of a building energy code (BEC) of Thailand compliance framework during conceptual design stages (CDS) using building information modeling (BIM) through visual programming language (VPL). The proposed method included five steps: (i) establish a commercial building reference; (ii) develop a BIM base model; (iii) create a BIM overall thermal transfer value (OTTV) and roof thermal transfer value (RTTV) calculation model with VPL scripts; (iv) test the BIM framework with various scenarios; and (v) verify the results with Thailand BEC software. The findings revealed an insignificant difference between the results from the BIM calculation model and those estimated by the Thailand BEC software. This study demonstrated that using BIM with VPL for OTTV and RTTV calculations during the CDS may be implemented automatically, which could help designers make timely decisions to comply with Thailand’s BEC, considering building design, materials, and fenestration ratios.

Impact of Various High Intensity Earthquake Characteristics on the Inelastic Seismic Response of Irregular Medium-Rise Buildings

In the twenty-first century, the seismic design of buildings seems to have become a fully recognized topic. There are guidelines and standards which should be taken into account by designers in seismic areas. Designers using modern international guidelines have ascertained that the behavior of structures is not as expected. New challenges in the construction industry result in the construction of structures with new, unusual shapes. These are structures that do not meet the assumptions of safe construction in seismic areas. Contemporary buildings are also characterized by their irregular distribution of structural elements. Such solutions are not beneficial from the point of view of seismic engineering and can lead to reduced dynamic resistance and damage in such structures. In this paper, a five-storey, irregular-shaped reinforced concrete (RC) building model was subjected to different earthquakes with varying magnitudes, PGA (peak ground acceleration) and PGV (peak ground velocity) values, and durations of the intense shock phase. Once the model was verified using previous in situ measurements, the building model was subjected to five earthquakes. A numerical nonlinear analysis of the building was performed using a verified FEA (finite element analysis) model in the time domain through non-linear time history analysis with the Broyden–Fletcher–Goldfarb–Shanno (BFGS) method. The building’s dynamic properties were measured using various methods of excitation. The model was influenced, among others, by two far-field representative events caused by the last earthquake in Turkey, which resulted in strong ground motion. The analysis results identified the locations of structural damage and allowed for the assessment of the structure’s dynamic resistance. The results of the calculations prove that the duration of the intensive phase of extortion is one of the reasons for building damage in earthquake-prone areas. Building damage occurs with earthquakes that are characterized by an intensive phase of excitation with a long duration and high values of velocity in the earthquake components. The article highlights the inadequate dynamic resistance of the building, leading to excessive displacements and unfavorable structural solutions. Damage to buildings at this earthquake intensity caused damage to the load-bearing structure, which was not designed for such intensities. This paper is a research report with a specific case study of medium-rise irregular RC buildings.

Understanding the Integration of Building Energy Modeling into the Building Design Process: Insights from Two Collaborative Construction Projects

This research investigates the integration of building energy modeling (BEM) within collaborative construction projects to inform design decisions for achieving high-energy performance goals. The study aims to understand current practices, benefits, and challenges associated with this integration. Using an ethnographic case study approach focused on two high-energy performance social housing projects with integrated project delivery and integrated design processes, data were collected through direct observations, document analysis, and interviews with project team members. Design process modeling was utilized to dissect current practices, followed by a hybrid inductive and deductive thematic analysis to find challenges related to energy performance design in collaborative projects. Findings from this research revealed that BEM experts often operate in isolation, with late integration of energy models into design decisions. Compliance-centric BEM usage and challenges related to interoperability of design and BEM tools further compound the issue of seamless collaboration. However, the study highlights that early collaboration among project stakeholders emerges as a pivotal factor in informed design decisions, bridging the gap between energy modeling and design. This research provides valuable insights for practitioners seeking to optimize BEM in their design process, and offers support to policymakers aiming to enhance the role of BEM in projects.

Pattern design for capacity building of promoters in climate-smart agriculture environment development

This study aimed to investigate the impact of agricultural environment, organizational, educational, economic, social, technical, cultural, and legal factors on the capacity building of extension experts in the development of climate-smart agriculture. The research is applied in terms of its objective and descriptive-survey in terms of its method. The statistical population of the research consisted of extension experts in three provinces, East Azerbaijan, West Azerbaijan, and Ardabil (N=4256). A sample size of 354 was selected using the Cochran formula. The data collection tool was a questionnaire using a five-point Likert scale. The formal and content validity of the questionnaire was confirmed by a group of experts and using the Average Variance Extracted (AVE) method before conducting the pilot study. The reliability of the research tool was evaluated by conducting a pilot study among 25 individuals outside the statistical population. In this research, SmartPLS software was used for data analysis. The results showed that infrastructural factors had the highest impact on climate-smart agriculture with 22%, followed by organizational factors with 21%, social factors with almost 17%, cultural factors with 16.5%, educational factors with 13%, legal factors with nearly 13%, technical factors with 11.4%, and finally, economic factors with just over 10%. Overall, the factors under study explain more than 68% of the variance in climate-smart agriculture (R2=0.687), indicating the impact of the aforementioned factors on the development of climate-smart agriculture. Also, the design of this model made the promoters, by identifying and increasing the potential and capacities of themselves, villagers and farmers, to be able to adapt themselves to climate change and drought, and by increasing resilience and adaptability, to have positive effects for the development of sustainable agriculture. Along with increasing the product, it will increase the income and reduce the costs for them.

A shape grammar-based design for modular buildings based on the Vitruvian triad: The case of Mächtig Kiosk K67

The kiosk K67 is a known example of mass-produced modular architecture designed in the 60s. Although these modules allow many design solutions, the designer Saša Mächtig did not guide the generation of such designs so that the final composition of elements could fit a specific design purpose. This study has two aims. The first is the development of a shape grammar for the kiosk K67, which enables a deep analysis and synthesis of this paradigmatic design. The study’s second aim is to combine the kiosk K67 shape grammar with design principles to guide the generation of design solutions. To do so, the Vitruvian triad dimensions – firmitas, utilitas and venustas – are combined with the developed kiosk K67 shape grammar to generate design solutions based on specific design briefs. The study identifies how each dimension of the triad can impact architecture and then correlates these impacts with the kiosk K67 shape rules. Finally, shape grammar and design alternatives are presented. Each Vitruvian dimension is taken with different priorities in the design alternatives to test the concept. Such an approach enables us not just to analyse the design of Mächtig but also to use the developed shape grammar in a pedagogical way to explore how balancing design principles and constraints impact design outcomes.

Seismic Response of Open Ground Story Reinforced Concrete Buildings, Considering with Soil-Structure Interaction

This study investigates the seismic behavior of open-ground story (OGS) reinforced concrete buildings with soil-structure interaction (SSI) using SAP2000. The study mainly focused on mid-rise (8-storey) and low-rise (4-storey) OGS buildings, incorporating different masonry infill materials such as brick, concrete blocks, and autoclaved aerated concrete (AAC) blocks. Selected ground motions from the Bhuj, El Centro, and Chi-Chi earthquakes were utilized to simulate varying seismic intensities and frequency content. Critical parameters such as top-story displacement and inter-story drift are analyzed to assess the structural safety and serviceability of RC buildings. The results demonstrate that both OGS coupled with SSI and masonry infill type significantly affect the displacement and drift, with mid-rise buildings showing more pronounced impacts. Furthermore, ground motion characteristics are critical in producing different response patterns. The study highlights the importance of considering SSI, infill materials, and ground motion characteristics in the design of OGS buildings to enhance earthquake resilience and reduce seismic damage.

Evaluation of Ventilation Strategies to Mitigate Airborne Infection Risk in a Dental School: A Three-Dimensional CFD Analysis of Airflow Patterns and Ventilation Efficiency

Infection prevention and control is a crucial element in providing a safe environment for dental clinics and reducing airborne infections risks during dental procedures. In response to the prevailing COVID-19 situations, the clinical space in the dental school was operated with ventilation strategies, increasing air exchanges and incorporating supply and return air arrangement based on seating positions. This study evaluated airflow patterns to examine personal exposure to airborne infection risk under these strategies. The three-dimensional computational fluid dynamics technique using computational fluid dynamics (CFD) analysis was performed in 50 multi-units of the dental school of the university in Bangkok, Thailand. The results revealed substantial improvements in indoor ventilation. Improvement of airflow patterns and directions surpassed conventional design of the pre-existing building’s system and helped reduce airborne contaminant concentrations. The further discussion of occupant-based design in dental schools is needed to optimize ventilation systems and engineering controls concerning indoor airborne infections.

Driving the zero-carbon construction strategy: key barriers and enablers

PurposeIn the fast-changing field of zero-carbon construction there is a gap in understanding how zero-carbon construction strategies are experienced in practice. This paper aims to identify the key barriers and enablers to driving a zero-carbon construction strategy by industry, policymakers and educators.Design/methodology/approachThe research was conducted in two stages. The first stage used a literature review to determine thematic areas from which to develop discussion points for the second stage of the research, which gathered insights into key barriers and enablers to driving a zero-carbon construction strategy from analysing recorded discussion with industry, policymakers and educators. This study adopts a qualitative research methodological design underpinned by dialectical approach of enquiries involving 31 participants. The philosophical standpoint aligns with a constructivist participatory worldview based on multiple stakeholder perspectives. Data involving virtual and face-to-face engagement held simultaneously in Australia and India were transcribed, coded and synthesised to identify the barriers and enablers to driving zero-carbon construction strategy.FindingsThe paper identified key barriers and enablers driving zero-carbon construction strategy. Barriers included limited awareness of industry dynamics; fixed mental models of professional practice; complexities in identifying appropriate skillsets; difficulties associated with reviewing education and training models and integrating sustainable strategies at early stages of projects. Enablers included: fostering education reform and supporting frameworks and procurement strategies for developers and clients; implementing efficient building designs, construction and operationalisation of zero-carbon buildings and; utilising an industry-led integrated approach. A framework was developed to provide an illustrative view of the linkage between the research projects’ focus areas and emergent themes.Originality/valueThe paper provides zero-carbon action priorities for four significant stakeholder groups in the build environment, developers, building occupiers, educators and government. As the priorities are derived in the research from examination of current literature and analysis of stakeholder viewpoints, this paper presents a unique, realistic and timely identification of barriers and key enablers driving zero-carbon construction strategies. Methodology applied in terms of data collection involved a public discourse and a unique technology-driven collaborative approach where participants simultaneously contributed across countries and time zones in a synchronous manner across key topics related to driving the zero-carbon construction strategy.

FoCa – Free of Carbon Architecture –an educational and informational online platform supporting the decarbonization of the construction sector in Poland and Turkey

Wrocław University of Science and Technology, in consortium with the Polish Association of Ecological Buildings (PLGBC), the Institute of Building Technology (ITB) and research and scientific units from Turkey, started the international project FoCA – Free of Carbon Architecture. Its aim is to create a publicly available tool – an interactive internet platform providing information on the environmental properties of construction materials and products available in Poland and Turkey. The platform allows users to compare and evaluate the environmental impact of selected building materials. As part of the platform's development, information is collected about building materials or products available on local markets, in the form of data describing their selected environmental impacts (GWPfossil, GWPbiogenic, GWPtotal, TRPE, TNRPE, WD). The platform allows to compare building materials and perform analyzes for conceptual building designs. In addition, producers of building materials can also benefit from the project because they will receive information about the environmental properties of some of their products. The platform will be available in the second half of 2024.

Effects of Window Green View Index on Stress Recovery of College Students from Psychological and Physiological Aspects

Students often experience high levels of daily academic pressure, spending extended periods within indoor classroom environments. Windows, as a medium of proximity to nature, play an important role in relieving stress. However, the broader implications of the Window Green View Index (WGVI) on individual well-being remain underexplored. This study aims to assess the effects of WGVI on stress recovery in college students by utilizing virtual reality technology to create five classroom environments with varying WGVI levels: 0%, 25%, 50%, 75%, and 100%. Twenty-four participants were subjected to the Trier Social Stress Test before engaging with the different WGVI scenarios for stress recovery. Both subjective assessments and objective physiological indicators were evaluated. Results indicated that participants exhibited the lowest Profile of Mood States (POMS) score (−4.50) and significantly improved systolic blood pressure recovery at a 25% WGVI level. The examination of EEG data revealed that the O2 channel in the occipital region exhibited the highest level of activity in the alpha frequency range during the experiment. Additionally, a significant association was observed between the EEG measurements and the subjective rating of stress. This study underscores the significance of incorporating WGVI into the design and planning of college buildings to promote mental health and well-being among students.