• General Article

    Determination of thermal comfort in residential buildings of Subtropical highland climate - A Case of Hamirpur, Himachal Pradesh, India
    Muralee Manav and Sharma Aniket
    The main aim of this research is to determine how environmental variables affect the thermal comfort of residents of 11 conventional and … + READ MORE
    The main aim of this research is to determine how environmental variables affect the thermal comfort of residents of 11 conventional and traditional residences in the Hamirpur district of Himachal Pradesh, India having a Subtropical highland climate (Cwa) zone. To record activity, level of clothing, and thermal preferences, during the months of July and September 2022, as well as January and March 2023, a questionnaire survey was undertaken. Using a handheld anemometer, relative humidity, air temperature, and airspeed were measured. The study found variation in neutral temperatures across the year’s different seasons as well as in thermal adaptation that included not only altering their clothing insulation, but occupants also actively controlled the air circulation by using fans and operable windows. The correlation between physical environmental variables that include indoor-outdoor temperature, relative humidity, and wind speed; and the personal variables that include Thermal sensation and preference of the residents has been studied. The findings reveal that the occupants were unsatisfied with their environment in January and July but satisfied with it during September and March. For the study area, the seasonal neutral temperatures are found to be 25.71°C in July, 24.65°C in September, 21.32°C in January, 22.60°C in March, and 23.39°C for the overall study with a thermal comfort range between 19.39°C to 27.39°C with a relative humidity of 42.5% - 60%. - COLLAPSE
    30 September 2024
  • General Article

    Experimental and numerical investigation on water absorption and strength of lightweight concrete containing LECA and cold bitumen powder
    Hadi Miri, Arash Rajaee, Morteza Ghodratnama, Amirhossein Davarpanah Tanha Quchan, Morteza Sheikhi and Pooyan Pournoori
    In recent times, there has been a growing interest among engineers in the utilization of lightweight concrete due to its potential benefits. … + READ MORE
    In recent times, there has been a growing interest among engineers in the utilization of lightweight concrete due to its potential benefits. However, lightweight concrete presents challenges, particularly its high water absorption. To address this weakness, the incorporation of cold bitumen powder has been proposed as a potential solution. Cold bitumen possesses favorable and cost-effective properties, including water impermeability and adhesive characteristics, making it a viable option. In this study, we examined the compressive strength, workability, and water absorption levels of five types of lightweight concrete samples containing 15% light-expanded clay aggregate (LECA) and varying proportions of cold bitumen powder (0%, 5%, 10%, 15%, and 20%). The findings revealed a corresponding decrease in water absorption as the proportion of bitumen powder increased. Specifically, reductions of 22%, 27%, 29%, and 35% were observed in 24-hour water absorption for the samples containing 5%, 10%, 15%, and 20% bitumen powder, respectively. Nevertheless, increasing bitumen powder content reduces concrete compressive strength by up to 22.5%. To reduce costs and avoid time wastage, genetic expression programming (GEP) prediction models were used to predict the compressive strengths. The results of this modeling confirm that using GEP models for prognosticating compressive strength has a robust and reliable approach. - COLLAPSE
    30 September 2024
  • General Article

    Experimental and numerical exploration of mechanical properties of sawdust concrete due to the addition of waste glass powder
    Ehsan Farahinia, Morteza Sheikhi, Davarpanah Tanha Quchan Amirhossein, Arash Rajaee, Morteza Ghodratnama, Seyed Mostafa Banihashem and Pooyan Pournoori
    This paper investigates the use of sawdust as fine aggregate and waste glass powder (WGP) as a replacement for cement and their … + READ MORE
    This paper investigates the use of sawdust as fine aggregate and waste glass powder (WGP) as a replacement for cement and their influence on the properties of hardened concrete. Sawdust, also known as wood dust, is the by-product generated when wood is cut or drilled using a saw or other cutting tools, and waste glass powder (WGP) exhibits pozzolanic properties, leading to the production of durable, affordable, and sustainable concrete. Both sawdust and waste glass powder (WGP) pose environmental concerns. In this research, we produced eco-friendly, lightweight, and cost-effective sawdust concrete mixtures with different dosages of WGP (15%, 20%, and 30%). The results reveal that with increasing the content of sawdust and WGP, a significant drop can be seen in the compressive strength of mixtures. However, an average of 15% reduction in density was seen in the samples compared to the control mixture, and the strength of all samples, particularly those containing WGP, increased as the curing time extended. Furthermore, to reduce costs and avoid time wastage, artificial neural network (ANN) and genetic expression programming (GEP) prediction models were used to predict the compressive strengths. The results of this modeling confirm that using ANN and GEP models for prognosticating compressive strength has a robust and reliable approach. - COLLAPSE
    30 September 2024
  • General Article

    A Study on the revitalization of old harbor through the reuse of industrial heritage: Focusing on the Incheon inner port area
    Hajong Lee and Insu Na
    This study is to identify and recycle industrial heritage existing in Incheon’s inner port and propose a plan to reactivate the declining … + READ MORE
    This study is to identify and recycle industrial heritage existing in Incheon’s inner port and propose a plan to reactivate the declining Incheon’s inner port. First, through literature review industrial heritage is defined and the value and type of industrial heritage recycling are identified. After that, it is proposed to identify and classify industrial heritage sites existing in Incheon Inner Port and recycle each industrial heritage. It is suggested to discover the value of each industrial heritage in Incheon’s inner port and utilize it to reuse the industrial heritage. Through this study, it is possible to reconsider the possibility of industrial heritage becoming a space like a new landmark with locality and historicity in the area, and to suggest that industrial heritage is an important factor from various perspectives. It is also meaningful in suggesting a way to functionally and physically connect the space, which has been disconnected from the surrounding urban context for a long time due to the function of the port. - COLLAPSE
    30 September 2024
  • General Article

    A Natural language processing based machine learning approach on building material eco-label databases wrangling
    Duy Hoang Pham, Sojin Park and Yonghan Ahn
    In recent years, databases promoting eco-labeled building materials (EBM) have received increasing attention. However, extracting valuable values from vast and disparate EBM … + READ MORE
    In recent years, databases promoting eco-labeled building materials (EBM) have received increasing attention. However, extracting valuable values from vast and disparate EBM databases remains a challenge due to inconsistencies in data formats, terminology, and organization. This research proposes a natural language processing (NLP) based machine learning (ML) approach to streamline the wrangling of EBM databases. An investigation of EBM databases, developing web-scraping and web-crawling to collect data from these databases, resulting in a refined dataset of 64,350 data points. The study then leverages NLP techniques and ML algorithms to standardize terminology, resolve inconsistencies, and integrate diverse EBM databases into a cohesive database. The Random Forest algorithm consistently emerged as a top-performing classifier, achieving high AUC scores in models such as “PBTs”, “Crate to Gate”, and the “UL GREENGUARD label”. For many ecolabels, the RF algorithm consistently delivered commendable performance, exemplified by its F1-scores for attributes like “PBTs” (94.19% in cross-validation, 94.72% in testing) and “C2Gate” (92.78% in cross-validation, 93.25% in testing). This structured representation facilitates efficient querying and analysis, enabling stakeholders to make informed decisions about EBM selection and utilization. By automating the labor-intensive process of EBM data wrangling, our research contributes to the advancement of sustainable construction practices and the broader goal of environmental stewardship in the built environment. - COLLAPSE
    30 September 2024
  • General Article

    Barriers to the design of construction projects containing national cultural values: A Study in Vietnam
    Minh Van Nguyen and Thuc Dinh Le
    The construction industry plays a vital role in preserving national cultural values toward the sustainable development of a nation. While previous studies … + READ MORE
    The construction industry plays a vital role in preserving national cultural values toward the sustainable development of a nation. While previous studies often emphasize preserving national cultural values by maintaining historic buildings, more research must be done on protecting these values in designing new projects. This study aims to investigate the barriers impeding the design and construction of new projects containing national cultural values in Vietnam. A list of 13 obstacles to the design of construction projects containing national cultural values was established. A questionnaire survey was then developed and delivered to the respondents who worked in Vietnamese construction firms. A total of 115 responses were collected for Exploratory Factor Analysis (EFA). The results of EFA showed that these barriers were categorized into three groups: market, construction companies, and educational institutes. This study indicates that the development of construction projects incorporating national cultural values encounters various challenges, underscoring the need to engage diverse stakeholders, including governmental bodies, construction firms, and educational institutes. - COLLAPSE
    30 September 2024
  • General Article

    The impact of digital technologies on energy-efficient buildings: BIM and AI-based study
    Moses Itanola and Seoung-Wook Whang
    The building and construction sector significantly contributes to global energy consumption and carbon emissions, necessitating the exploration of innovative solutions for sustainability. … + READ MORE
    The building and construction sector significantly contributes to global energy consumption and carbon emissions, necessitating the exploration of innovative solutions for sustainability. This study investigates the transformative impact of digital technologies, specifically Building Information Modelling (BIM) and Artificial Intelligence (AI), on the development of energy-efficient buildings. By conducting a comprehensive scientometric and systematic review of 559 publications from 2010 to 2023, the research identifies prevailing trends, significant advancements, and existing challenges in the field. The findings reveal that BIM and AI hold substantial potential for enhancing energy efficiency during the early design and construction stages, facilitating better decision-making, reducing errors, and optimizing resource use. The study also highlights 14 specific categories of significant barriers to widespread adoption. These categories include interoperability issues, knowledge gaps, process complexity, lack of standards, data unavailability, industry resistance, low client interest, high service costs, trust deficits, technical issues, inflated technology costs, workflow inefficiencies, design errors, and role ambiguities. Particularly, interoperability issues, data integration challenges, and high initial costs emerged as the most severe challenges, hindering the smooth implementation of these technologies. These challenges underscore the need for developing robust standards and fostering a culture of innovation within the industry. This paper synthesizes current research, offering valuable insights into the critical role of digital construction technologies in advancing sustainable building practices and outlining directions for future research to overcome existing limitations. - COLLAPSE
    30 September 2024
  • General Article

    Evaluation of visual comfort and indoor environmental quality of multi-unit residences in hot-arid climates: A Survey analysis and field measurements
    Souheila Tibermacine and Safa Daich
    This study adopts an empirical methodology, employing objective and subjective measurements to evaluate luminous comfort through post-occupancy analysis within multi-unit residential structures … + READ MORE
    This study adopts an empirical methodology, employing objective and subjective measurements to evaluate luminous comfort through post-occupancy analysis within multi-unit residential structures in Biskra City, Algeria. Comprehensive field measurements were conducted to ascertain external global horizontal and internal illuminance levels. A structured questionnaire survey is designed to scrutinize the interaction between human perception, behaviour, and the physical environment in influencing subjective luminous comfort. Results from subjective evaluations revealed that the window area emerged as the predominant factor impacting luminous comfort, with uniformity’s perception being a crucial aspect in the subjective assessment of daylight. Artificial lighting emerged as the most influential behavioural factor shaping luminous comfort. On-site measurements indicated average illuminance values of 403 lux in the South, 300 lux in the North, 350 lux in the East, and 368 lux in the West during the study hours. The implications of these findings extend to informing architectural practices and offering guidance to architects to improve daylighting strategies in housing projects. - COLLAPSE
    30 September 2024
  • General Article

    Dual-path multi-scale attention guided network based changes in land use/land cover classification
    Md. Arman Ali and Lalbahadur Roy
    One of the most important environmental changes brought on by human activity is changes in land use and land cover (LULC), particularly … + READ MORE
    One of the most important environmental changes brought on by human activity is changes in land use and land cover (LULC), particularly in places that are quickly growing. In this manuscript proposes, Changes in Land Use and Land Cover Classification using a Dual-path Multi-scale Attention Guided network (LCC-DPAGN-LOA) is presented. This study utilizes data from the Remote Sensing dataset. Then pre-processing using Fast Resampled Iterative Filtering (FRIF) to enhance image quality. Feature selection is performed utilizing Quadratic Phase Wavelet Packet Transform, followed by classification using a DPAGN. After that the extracted features are provided to the Dual-path Multi-scale Attention Guided Network (DPAGN) is used for the classification of Agriculture, Bare lands, Built-up Areas, Forests and Water Bodies. In general, the DPAGN does not express adapting optimization techniques to determine optimal variables to ensure accurate classification. Therefore, it is proposed to utilize the Lyrebird Optimization Algorithm (LOA) to enhance DPAGN for accurate land cover classification. The proposed LCC-DPAGN-LOA technique is implemented in Python and analyzed performance metrics likes accuracy, recall and precision. The proposed method attains 20.78%, 17.98% and 25.67% higher accuracy than existing methods like Artificial Neural Network (ANN), Particle Swarm Optimization (PSO), and Elephant Herd Optimization (EHO) for land use and land cover classification respectively. - COLLAPSE
    30 September 2024
  • General Article

    Benchmark-driven optimization of facade materials and shades for energy efficiency and monitoring: A Case study in Tehran
    Mohammad Ameli Arjomand and Amin Alah Ahadi
    This study systematically explores the optimization of building facade materials and shading configurations to enhance energy efficiency in Tehran’s residential buildings. By … + READ MORE
    This study systematically explores the optimization of building facade materials and shading configurations to enhance energy efficiency in Tehran’s residential buildings. By employing advanced parametric modeling tools integrated with environmental simulation plugins such as Ladybug and Honeybee, we analyzed how different material properties and shading designs affect the thermal performance of building facades. Our results demonstrate significant potential for reducing energy consumption through strategic material selection and shade design, tailored to Tehran’s distinct climatic conditions. The research identifies optimal material and shading solutions that align with regulatory requirements and offer substantial improvements in energy performance. These findings provide actionable insights for architects and urban planners aiming to implement energy-efficient strategies in building designs, particularly in regions with similar environmental profiles to Tehran. - COLLAPSE
    30 September 2024
Journal Informaiton International Journal of Sustainable Building Technology and Urban Development International Journal of Sustainable Building Technology and Urban Development
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