Journal of Construction Engineering, Management & Innovation最新文献

{"title":"Investigating the building commissioning practices in Turkey","authors":"S. Caglayan, B. Ozorhon, Emre Ilicali","doi":"10.31462/jcemi.2022.02077094","DOIUrl":"https://doi.org/10.31462/jcemi.2022.02077094","url":null,"abstract":"Advances in technology give rise to buildings with complicated systems and components. Many building systems fail to perform as intended owing to lack of a systematic approach adopted during construction. Commissioning is known to enhance the building's operational efficiency through bringing a holistic perspective to design, construction, and operation. This study aims to investigate the building commissioning practices in Turkey with the intention of promoting energy efficient building communities in developing countries. Within this context, a questionnaire survey was designed and administered to the commissioning practitioners to explore their perceptions and experiences regarding a number of critical commissioning issues. The findings reveal that (i) most frequently encountered challenges are non-technical rather than technical; (ii) benefits realized in the post-occupancy period overweigh the pre-occupancy benefits; and (iii) experiential features of the commissioning agents are more important for the commissioning agent selection process than the technical and managerial features. The study contributes to the body of knowledge by presenting the main observations on building commissioning practices in a developing country and providing recommendations to enhance the commissioning performance. It is expected to provide a better understanding of the critical issues in building commissioning process and promote its implementation in developing countries.","PeriodicalId":167511,"journal":{"name":"Journal of Construction Engineering, Management & Innovation","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129199690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Turkish building construction contracts vs. FIDIC contracts","authors":"Levent Sümer, D. Arditi","doi":"10.31462/jcemi.2022.02107118","DOIUrl":"https://doi.org/10.31462/jcemi.2022.02107118","url":null,"abstract":"Contract administration is one of the most important pillars of a construction project. Its effect starts at bidding and lasts until the end of the guarantee period. A common mistake made by construction owners is structuring the construction contract in a way that minimizes the owner’s risks by relaxing the timing of owner payments, including heavy penalty clauses, requesting bank guarantees with indefinite duration, etc. However, a well - balanced construction contract may protect the work against any unexp ected events, avoid potential disputes between the parties, and provide contract clauses that are fair to both parties. Being one of the pioneers in this area, the aim of this study is to compare the time and payment -related clauses of the Turkish bespoken construction contracts with standard FIDIC contracts and provide important insights and guidelines to practitioners. In this study, 304 bespoken contracts undertaken in the Turkish building construction market are analyzed and compared against standard FI DIC conditions. The results show that the timing of the payments is similar to those in FIDIC general conditions, yet time extension is mostly awarded for force majeure only. The majority of the projects were delayed in most cases observed independently from the type of contract and wording of the time extension clause. Recommendations are made to structure a more balanced building construction contract and more successful construction project management in Turkey.","PeriodicalId":167511,"journal":{"name":"Journal of Construction Engineering, Management & Innovation","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130469773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparing the accuracy of ANN and ANFIS models for predicting the thermal data","authors":"Sami Shams Aldin, Hatice Sözer","doi":"10.31462/jcemi.2022.02119139","DOIUrl":"https://doi.org/10.31462/jcemi.2022.02119139","url":null,"abstract":"The study aims to propose a suitable prediction model to deliver the full heating season’s thermal performance dataset by using short-term measured data during the system operation period. Two machine learning-based models, BackPropagation Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System are compared by utilizing the measured data of indoor temperature and relative humidity. The independent variables of the prediction are obtained from the weather data, in addition to the building energy simulation model. Conversely, the data of the dependent variable are obtained from the real measurements from inside of the building for 31,5 days of the heating season, starting from February 22 nd , which is called the first heating season. Moreover, the entire heating season of the building is evaluated between November 15 th and March 21 st , which is called the second heating season when the building’s monthly consumption exceeds 14 kW/m 2 . The first prediction approach is the feed-forward Artificial Neural Network (ANN) with Back Propagation Learning System (BPS). Four ANN models are structured by input-output and one hidden layer is performed. The second prediction approach is the Adaptive Neuro-Fuzzy Inference System (ANFIS). The Sugeno ANFIS method is utilized in this prediction work. Eight ANFIS models are structured by 6 layers are performed to achieve the prediction. Besides, the main motivation for approaching ANFIS is to avoid the stochasticity of the measured temperature and humidity data. The prediction results are compared with the measured data of the second heating season. The comparison showed that the ANFIS model is more efficient since it achieved an 85% accuracy rate for the indoor temperature and 81% for the humidity prediction. While the ANN prediction accuracy is 81%, 80% relatively for the temperature and humidity. Then the comparison is scaled by selecting the most ordinary period in the measured data to be the data sample that will be used in the comparison. The second comparison showed that the ANFIS model is once again better than the ANN model since the ANFIS prediction accuracy becomes 88% for temperature and 90% for humidity, while the ANN prediction accuracy becomes 83% for temperature and 87% for humidity. Nevertheless, the stochasticity of the measured affected the prediction results in accuracy rates. Hence, according to the achieved accuracy rates, both the ANFIS and ANN approaches are highly validated in this type of prediction.","PeriodicalId":167511,"journal":{"name":"Journal of Construction Engineering, Management & Innovation","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133976891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Potential benefits of agile project management in improving construction project performances: A case study of Iraq","authors":"Gokhan Kazar, Ahmed Almhamdawee, Onur Behzat Tokdemir","doi":"10.31462/jcemi.2022.02064076","DOIUrl":"https://doi.org/10.31462/jcemi.2022.02064076","url":null,"abstract":"Due to poor performances in construction projects, there is a necessity to apply novel project management approaches instead of traditional ones. Recently, although new project management methods have emerged and applied in different industries, the construction industry has stayed behind in implementing these techniques. The agile Project Management (APM) approach is one of these methods, and it has been highly discussed recently. As developing countries considerably suffer from poor performance in construction projects, applying new project management methods has gained more importance in these territories. Even though different studies attempted to understand the applicability of the APM, it is also necessary to explore the potential benefits of the agile methods for the construction industry. For this purpose, we surveyed 140 construction experts for the prioritization of factors and received responses on the potential advantages of the APM regarding team and project performance in construction. The results achieved from the Iraq field study demonstrate that the APM could be feasible for the construction industry and could effectively bring solutions to the project performance issues. We also concluded that the adverse effects of poor project performance, such as quality defects, schedule variances, cost overruns, and low productivity, could be eliminated especially in the construction industry of developing countries, through APM approaches.","PeriodicalId":167511,"journal":{"name":"Journal of Construction Engineering, Management & Innovation","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114070968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A stakeholder-based review of the building inspection system in Turkey: The case of Yalova","authors":"Huseyin Erol, M. Dede","doi":"10.31462/jcemi.2022.02095106","DOIUrl":"https://doi.org/10.31462/jcemi.2022.02095106","url":null,"abstract":"Due to the recent natural disasters and the rapidly increasing need for construction, the concept of building inspection has gained considerable importance in Turkey. However, the literature lacks a stakeholder-based review of the building inspection system despite the fact that its success depends largely on the performance of the actors involved. In order to fill this gap, a survey was conducted with 110 participants representing six stakeholder groups that take an active role in the inspection process. The results of the study revealed that the system has problems in terms of overall performance and employee satisfaction, the stakeholders, especially the contractors and construction managers, do not fulfill their responsibilities, and the sanctions stipulated in the law are insufficient. Moreover, a significant positive correlation was found between the performance of the stakeholders and the sanctions imposed on them. Based on the research findings and synthesis of best practices, it has been suggested to strengthen the penal provisions in the law, increase the qualification and competence of the stakeholders, standardize the inspection procedures, improve communication, and use innovative technologies. Policymakers and practitioners can benefit from the findings of this study to enhance the building inspection system in Turkey.","PeriodicalId":167511,"journal":{"name":"Journal of Construction Engineering, Management & Innovation","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130670070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thermo-Economic optimization for saving energy in residential buildings using population-based optimization techniques","authors":"M. Moloodpoor, A. Mortazavi","doi":"10.31462/jcemi.2022.01045063","DOIUrl":"https://doi.org/10.31462/jcemi.2022.01045063","url":null,"abstract":"","PeriodicalId":167511,"journal":{"name":"Journal of Construction Engineering, Management & Innovation","volume":"289 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124172104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating the impact of building envelope on energy performance: A cooling analyses","authors":"M. Azima, Senem Seyis","doi":"10.31462/jcemi.2022.01028044","DOIUrl":"https://doi.org/10.31462/jcemi.2022.01028044","url":null,"abstract":"","PeriodicalId":167511,"journal":{"name":"Journal of Construction Engineering, Management & Innovation","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134362223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of BIM software with quantity take-off and visualization capabilities","authors":"Faruk Ergen, Ö. Bettemir","doi":"10.31462/jcemi.2022.01001014","DOIUrl":"https://doi.org/10.31462/jcemi.2022.01001014","url":null,"abstract":"","PeriodicalId":167511,"journal":{"name":"Journal of Construction Engineering, Management & Innovation","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133294025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of workday losses due to falls from scaffoldings in the construction industry","authors":"Kemal Dirgen Tözer, G. E. Gürcanlı, Zalihe Yarkıner","doi":"10.31462/jcemi.2022.01015027","DOIUrl":"https://doi.org/10.31462/jcemi.2022.01015027","url":null,"abstract":"The study aims to build a model for workday losses due to scaffolding accidents at construction sites to know information about the worker and the accident, and subsequently use the model for prediction, process optimization, or process control. The accident investigations from the archive of the Labour Office were searched and ongoing construction sites in North Cyprus were visited. Descriptive statistics were used to classify the full archival and inferential statistics were carried out to construct a statistical model using multiple linear regression (MLR) analysis to predict future workday losses furthermore binary logistic regression (BLR) model was carried out to identify whether the workday loss is considered to be a major workday loss or not. MLR model revealed that a 4.5-fold increase in workdays lost for each additional 1 meter of fall height and one year increase in workers’ age will increase the workday losses by 1.3 days. Additionally, the BLR model concluded that when the age of the victim increased by one unit, victims are 1.068 times more likely to have a major workday loss, and similarly, when the height of falling increases by one unit, victims are 1.735 more likely to have a major workday loss.","PeriodicalId":167511,"journal":{"name":"Journal of Construction Engineering, Management & Innovation","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124290355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The development of a design-for-assembly method for construction and infrastructure projects","authors":"Wim H. Verburg, J. Halman, H. Voordijk","doi":"10.3990/1.9789036551717","DOIUrl":"https://doi.org/10.3990/1.9789036551717","url":null,"abstract":"","PeriodicalId":167511,"journal":{"name":"Journal of Construction Engineering, Management & Innovation","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117065361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}