Journal of Construction Engineering, Management & Innovation

Gozde Basak OZTURK Busra OZEN Fatih SOYGAZI

Novel technology use in Cultural Heritage (CH) research enables cultural sustainability. The aim of this paper is to reveal the current gaps, trends, and future prospects in novel technology use in CH research for Cultural Heritage 4.0 approaches. Data on the ‘technology use in CH research’ was collected from the Scopus database. This study adopted a scientometric analysis and mapping of bibliometric data. The scientometric analysis tool that is used in this research employ Machine Learning and Natural Language Processing (NLP) methods. The results were discussed and synthesized in detail for the fulfilment of the research scope. The findings shed light on the divergence of research intentions in CH research field, which mainly focuses on data visualization, digital preservation, and remote sensing technologies while the next trending subjects may be digital reconstruction and artificial intelligence for CH. The novel technologies that are used in the digital transformation of CH were further discussed in detail. The paper concludes with prospects for the future research in the field. The paper may enable a higher understanding of the relationship between technologies and concepts. Thereby, CH research field may increase the efficiency and effectiveness of the project results by exploiting the suggested technologies. Because of the analyzing tool’s shortfall, the language filter was used. The research input includes also limitations for publication type. These filters led to analyzing only English-written articles only. Future research may use all languages and all publication types for a broader perspective.

https://doi.org/10.31462/jcemi.2024.03172184

Muhammet Yıldırım Ömer Giran

Although Digital Twins have advanced remarkably in many industries, including manufacturing and healthcare, the construction industry faces a significant gap in adopting and implementing Digital Twins. Thus, this paper aims to examine the consequences of implementing Digital Twins technology in the construction sector to provide a comprehensive picture of Digital Twins applications within the construction lifecycle and the technologies employed, in addition to identifying the challenges facing the technology in the construction sector. The study utilized a systematic review methodology to accomplish its objective. The study categorized the applications of Digital Twins into four stages of the construction project lifespan. The four phases encompassed in this process are planning and design, construction, operation and maintenance, and demolition and recovery. The findings indicate that the utilization of Digital Twins in the planning and design phase, as well as the demolition and recovery phase, is not tangible compared to its applications in the construction, operation, and maintenance phases. This study identified the difficulties associated with implementing Digital Twins technology in the building industry. The problems encompass various aspects, including the sector itself, economic and political factors, technical advancements, and social issues. Through the resolution of these obstacles, the construction sector might attain complete integration of Digital Twins technology. Future research is advised to enhance the deployment of Digital Twins by gaining a more profound comprehension of Digital Twins knowledge throughout the lifecycles of construction projects.

https://doi.org/10.31462/jcemi.2024.03189212

Serkan YILDIZ

In Turkey, which is still classified as a water-stressed country, the amount and proportion of water consumed as drinking and sanitary water in buildings is increasing day by day. This situation not only threatens water resources, but also leads to additional infrastructure investments and high energy costs for the treatment, supply, and removal of water to and from buildings. The aim of this study is to look at the issue in a holistic way, to identify all the measures that can be taken to save water in a building, and to estimate how much water can be saved assuming that they are applied to a real house.. For this purpose, the water saving measures developed in the most well-known green building rating systems LEED, BREEAM and CASBEE systems and in the National Green Certification System YeS-TR, have been examined. The study investigated how much water could be saved if a house with a garden on a 780 m2 plot of land in the province of Sivas was built according to the specified measures. The study showed that the annual water consumption of the house, which is 800 tonnes, can be reduced to 414 tonnes through appropriate landscaping, rainwater harvesting, grey water harvesting and the use of water-saving devices. The study can be a guide for efforts to construct new buildings in a water-saving manner, which can make a significant contribution to solving the water shortage in Turkey and reducing the costs caused using water in buildings.

https://doi.org/10.31462/jcemi.2024.03213228

Şeyma Gebel Semahat Merve Top Çağatay Takva Berru İzel Gökgöz Zeynep Yeşim İlerisoy Mustafa Şahmaran

The use of concrete, which has an essential place in the construction sector, is becoming increasingly widespread in the sector with the additive manufacturing method. On the other hand, three-dimensional concrete printing (3DCP) technology, the centre of attention of many researchers, is still a developing method in the sector. Analyses on the current status of 3DCP are considered important in guiding academic studies on the potential and future of the subject. In this context, the study aims to evaluate the current status and potential of 3DCP technology in the AEC (architecture, engineering and construction) industry. In this study, the bibliometric analysis method was used to identify, select, evaluate and systematise the research literature on three-dimensional concrete printing technology in building production for the purpose of the study and to create new perspectives for future studies. According to the criteria determined within the scope of the study, 241 articles were reached in the Web of Science database. VOSviewer and biblioshiny programmes were used to determine data such as annual number of publications, publication production of countries, number of citations, and keywords. According to the findings based on the content of the reviewed articles, research on 3DCP technology is mainly focused on the fields of construction, performance and design. In this context, 35% of the 60 most cited papers were focused on construction, 57% on performance and 8% on design. According to the study's output, further research and application are needed in the field of 'design'. In this study, it is seen that 3DCP technology is still an emerging field and there is a need for further research and application in terms of 'design' in terms of the AEC sector. In this context, it is thought that the study will provide important references in terms of processes and trends in the sector.

https://doi.org/10.31462/jcemi.2024.03229246

Saman Aminbakhsh

Understanding how network complexity affects optimization algorithms is crucial for improving computational efficiency. This study investigates how variations in network complexity impact the performance of optimization algorithms. By examining networks with different serial/parallel indicator (I2) values, the research uncovers several key insights into how topology influences computational requirements. The experiments show that higher I2 values, which are closer to serial configurations, heighten the problem’s complexity. This study reveals that networks with lower I2 values, which exhibit steeper time-cost curves with fewer solutions over their efficient frontiers, require significantly more CPU time, indicating that project complexity does not necessarily scale with the extend of the Pareto fronts. This contradicts the expectation that more Pareto front solutions would inherently demand greater computational resources. Lastly, the study highlights that while the number of time-cost realizations is often used to gauge project complexity, it may not be conclusive on its own and that one complexity measure can outperform another. Although it can be an effective indicator, it does not fully capture the computational challenges posed by different network topologies. This study further acknowledges the difficulty in establishing a clear link between project performance and complexity due to the multifaceted nature of the problem. The findings suggest that exploring similar problems in other contexts could provide valuable insights into understanding and managing computational complexity.

https://doi.org/10.31462/jcemi.2024.03247265