Ford Lumban Gaol, Rezaka Ardho Siswanto, Tokuro Matsuo
{"title":"Architectural modeling of data warehouse and analytic business intelligence for Bedstead manufacturers","authors":"Ford Lumban Gaol, Rezaka Ardho Siswanto, Tokuro Matsuo","doi":"10.1515/eng-2022-0508","DOIUrl":"https://doi.org/10.1515/eng-2022-0508","url":null,"abstract":"Abstract Proper decision-making in a company requires a company to make decisions quickly, precisely, and relevant to the problem at hand. The ability to examine problems encountered necessitates the use of data from all areas of an organization. These data will be the basis for decision-making. Due to the significance of these data, data warehouse (DW) and analytics and business Intelligence (ABI) are necessary form of information technology. The DW and business intelligence requirements for each organization differ based on the industry. As a result, this case study of the Bedstead manufacturers intends to build a blueprint of the DW and ABI that can be used as the basis and reference in the future by this company and similar companies in creating DWs and business intelligence.","PeriodicalId":19512,"journal":{"name":"Open Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135059053","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}
S. Ø. Rokvam, N. P. Vedvik, Lukas Mark, Eivind Rømcke, J. Ølnes, L. Savio, A. Echtermeyer
{"title":"A computational iterative design method for bend-twist deformation in composite ship propeller blades for thrusters","authors":"S. Ø. Rokvam, N. P. Vedvik, Lukas Mark, Eivind Rømcke, J. Ølnes, L. Savio, A. Echtermeyer","doi":"10.1515/eng-2022-0419","DOIUrl":"https://doi.org/10.1515/eng-2022-0419","url":null,"abstract":"Abstract This study investigates the feasibility of utilising common composite material layup techniques in ship propeller blade design to achieve an automatic pitch adjustment through bending-induced twist deformation. A comprehensive design approach, including various reinforcement materials and arrangements, was employed to attain the desired foil pitching, while minimising other undesirable deformation modes. The design process involved iterative computational analysis using finite element analysis and a deformation mode analysis based on foil shape parameters. The research showed that the proposed design approach effectively found options to improve the desired foil parameter pitch, while minimising undesirable deformation modes such as blade deflection and foil shape change. Furthermore, the proposed blade design was tested in thruster steering operational conditions and was found to have a pitch change well matched, potentially countering some changes in fluid flow. When compared to Kumar and Wurm’s design, which only focused on the angular orientation of glass reinforcement, the proposed design was found to outperform the twisting by achieving the same twist for a blade half the length. This study provides valuable insights into the utilisation of composite materials in ship propeller design and highlights the potential for further improvement through a composite engineering design approach.","PeriodicalId":19512,"journal":{"name":"Open Engineering","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43109353","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}
A. Jaafar, M. M. Yussof, A. A. Azeez, T. M. Mezher, Abrahem A. Ali Blash
{"title":"The nonlinear analysis of reactive powder concrete effectiveness in shear for reinforced concrete deep beams","authors":"A. Jaafar, M. M. Yussof, A. A. Azeez, T. M. Mezher, Abrahem A. Ali Blash","doi":"10.1515/eng-2022-0412","DOIUrl":"https://doi.org/10.1515/eng-2022-0412","url":null,"abstract":"Abstract The aim of this article is to investigate the effect of using reactive powder concrete (RPC) for reinforcement concrete deep beams (CDBs) to study the shear effect by the numerical analysis. The method of finite element analysis model simulations using a program was used. The characteristics of RPC and the deep beam of reinforced concrete were obtained from previous scientific research. Non-linear analysis for two models of deep beams, one with RPC and the other without using it, was conducted to compare with experimental results from recent tests of deep concrete beams with RPC and loaded until failure. The data obtained from the specimens have many factors related to the effect of the strength and action of reinforcement CDBs such as shear load deflection, crack pattern, mode failure, and concrete strength. On the other hand, the mesh changing was investigated in terms of the maximum concrete strength and the running time by changing the mesh size to 50, 25, and 15. Models were simulated with a two-point load using a shear span-to-depth with an av/d ratio of 0.77. The difference in percentage deflection between the numerical and experimental models’ data was observed at 2.60 and 5.9% for concrete deep beam and RPC deep beam, respectively, and the maximum shear load was 2.27 and 5.40%. The importance of the outputs of this article lies in bridging the research gap of this new topic and identifying the shear behavior of deep beams reinforced with RPC due to the lack of research related to this topic. It was noted that the obtained data for finite element analysis are very consistent with the previous laboratory scientific research, while the error rate did not exceed 10%.","PeriodicalId":19512,"journal":{"name":"Open Engineering","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43139505","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":"Compressive forces influence on the vibrations of double beams","authors":"Q. Atiyah, I. Abdulsahib","doi":"10.1515/eng-2022-0408","DOIUrl":"https://doi.org/10.1515/eng-2022-0408","url":null,"abstract":"Abstract The influence of compressive forces on the lower and upper natural frequencies of the double beams has been studied in this article. Euler–Bernoulli’s hypotheses have been used to derive the natural frequency equations. Two asymmetric beams were assumed in this work, and four different boundary conditions were applied in these equations: Pinned–Pinned, Clamped–Clamped, Clamped–Free, and Clamped–Pinned. When the axial compressive force is increased about 18 times, it is observed that the lower natural frequencies decreased by 19% for PP beam, 8% for CC beam, 81% for CF beam, and 12% for CP beam. However, the greatest effect of the axial force on the higher frequencies is by reducing it in the CC beam by a ratio that does not exceed 2%. A rise in the values of axial compressive force causes a reduction in the lower natural frequencies, mostly for the CF beam, while it has a little effect on the higher natural frequencies. Similarly, when the compressive forces on the upper and lower beams fluctuate simultaneously, their effect is doubled on the frequencies when the axial compressive force on one of the two beams changes only.","PeriodicalId":19512,"journal":{"name":"Open Engineering","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41736488","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":"Rehabilitation of overload-damaged reinforced concrete columns using ultra-high-performance fiber-reinforced concrete","authors":"H. Alasmari","doi":"10.1515/eng-2022-0437","DOIUrl":"https://doi.org/10.1515/eng-2022-0437","url":null,"abstract":"Abstract One of the problems experienced by reinforced concrete (RC) structures, whether a mistake at the design phase or a change in building use, is an overload. The goal of this study is to determine whether ultra-high-performance fiber-reinforced concrete (UHPFRC) is effective in repairing damaged concrete columns utilizing 30 mm thin concrete jacketing made of different steel fibers at various contents with varied aspect ratios (28, 37, and 45). Nine pieces of 500 mm long RC column specimens with a cross-sectional size of 150 mm × 150 mm were cast as part of the experimental program. By loading these columns with roughly 90% of their actual ultimate axial load capacities, damage was caused, and the columns were subsequently strengthened and rebuilt using UHPFRC jacketing materials. The results demonstrated that when steel fiber content increased, so did the mechanical qualities, such as compressive and tensile strengths. Rehab materials that contained 0.5% steel fiber recovered 138% of their maximum load-bearing capacities, while materials that contained 1.5% steel fiber recovered 164% of their original capacities, which were roughly 1.38–1.64 times that of the unjacketed reference column. Additionally, it was observed that employing steel fiber in UHPFRC contents in these approaches resulted in the ultimate displacement being improved from 2.91 to 5.53 mm at 1.5% of steel fiber content, which is an increase of almost double that of control specimens.","PeriodicalId":19512,"journal":{"name":"Open Engineering","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43935238","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}
S. T. Johansen, Perin Unal, Özlem Albayrak, E. Ikonen, Kasper Linnestad, Sudi Jawahery, Akhilesh K. Srivastava, Bjørn Tore Løvfall
{"title":"Hybrid and cognitive digital twins for the process industry","authors":"S. T. Johansen, Perin Unal, Özlem Albayrak, E. Ikonen, Kasper Linnestad, Sudi Jawahery, Akhilesh K. Srivastava, Bjørn Tore Løvfall","doi":"10.1515/eng-2022-0418","DOIUrl":"https://doi.org/10.1515/eng-2022-0418","url":null,"abstract":"Abstract In a Europe that is undergoing digital transformation, the COGNITWIN project is contributing to accelerate the transformation and introduce Industry 4.0 to the European process industries. The opportunities here can be illustrated by the SPIRE 2050 Vision document (https://www.spire2030.eu/sites/default/files/users/user85/Vision_Document_V6_Pages_Online_0.pdf), which states that “Digitalisation of process industries has a tremendous potential to dramatically accelerate change in resource management, process control and in the design and the deployment of disruptive new business models.” The process industries are characterized with harsh environments where sensors are either costly, not available, or may be subject to costly maintenance. The development of digital twins that can exploit the combinations of data-based and physics-based models is often found to be a preferred path to robust digital twins that can help cutting costs and reduce energy consumption. In this article, we present 5 out of 6 industrial pilots that are developed in the COGNITWIN project. We discuss the commonalities and differences between the selected approaches and give some ideas about how cognition can be incorporated into the digital twins. The aim of this article is to inspire similar projects in related industries.","PeriodicalId":19512,"journal":{"name":"Open Engineering","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44081429","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":"Deep learning model for intrusion detection system utilizing convolution neural network","authors":"W. F. Kamil, Imad J. Mohammed","doi":"10.1515/eng-2022-0403","DOIUrl":"https://doi.org/10.1515/eng-2022-0403","url":null,"abstract":"Abstract An integral part of any reliable network security infrastructure is the intrusion detection system (IDS). Early attack detection can stop adversaries from further intruding on a network. Machine learning (ML) and deep learning (DL) techniques to automate intrusion threat detection at a scale never previously envisioned have snowballed during the past 10 years. Researchers, software engineers, and network professionals have been encouraged to reconsider the use of ML techniques, notably in cybersecurity. This article proposes a system for detecting intrusion with two approaches, the first utilizing a proposed hybrid convolutional neural network (CNN) and Dense layers. The second utilizes naïve Bayes (NB) ML techniques and compares the two approaches to determine the best detection accuracy. The preprocessing of network data is necessary. The suggested technique is evaluated using the UNSW-NB15 Dataset to create a reliable classifier and an effective IDS. The experimental results for the proposed CNN-dense classifier outperformed the ML and DL models. CNN has a 99.8% accuracy rate compared to previous studies. At the same time, the Gaussian naïve Bayes, which is considered the best among the ML-utilized classifiers, yielded an 83% accuracy rate.","PeriodicalId":19512,"journal":{"name":"Open Engineering","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47080455","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":"Numerical study of the fluid flow and heat transfer in a finned heat sink using Ansys Icepak","authors":"S. Yaseen","doi":"10.1515/eng-2022-0440","DOIUrl":"https://doi.org/10.1515/eng-2022-0440","url":null,"abstract":"Abstract This research studies a three-dimensional fluid flow, and heat transfer in the heat sink numerically using air as a coolant. The numerical effects of the number of fins and their thickness on the performance of the heat sink are investigated using Ansys Icepak. Various fin numbers and fin thicknesses are used to check the heat sink’s optimal thermal performance. The results demonstrated that the maximum temperature, pressure drop, and thermal resistance decrease with the increase in the fin number and thickness. According to the results, the optimal thickness and number of fins for the current study are 15 and 0.25 mm, respectively. Also, it is observed that increasing the number of fins has a greater effect than increasing the thickness of the fins on the maximum temperature, pressure drop, and thermal resistance.","PeriodicalId":19512,"journal":{"name":"Open Engineering","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42641218","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}
Aliyaa M. Alsheameri, Laith Sh. Rasheed, Aymen J. Alsaad
{"title":"Enhancement of flexural behavior of hybrid flat slab by using SIFCON","authors":"Aliyaa M. Alsheameri, Laith Sh. Rasheed, Aymen J. Alsaad","doi":"10.1515/eng-2022-0487","DOIUrl":"https://doi.org/10.1515/eng-2022-0487","url":null,"abstract":"Abstract Flat slab systems are widely utilized in construction due to their versatility and efficient use of space. Nevertheless, they are susceptible to flexural failure, particularly in the tension zone. To address this issue, slurry-infiltrated fiber concrete (SIFCON) has been proposed as a solution owing to its exceptional strength and durability. This research examines the effect of utilizing SIFCON in the tension zone of flat slab systems to enhance their flexural performance. The study encompasses testing eight identical slabs, two of which were cast with normal concrete, while the remaining six were hybrid slabs incorporating SIFCON. The specimens were subjected to vertical loading to compare their flexural behavior and identify the optimal dimensions for the SIFCON layer. The slabs had identical dimensions but varied in reinforcement. Group A had a reinforcement ratio of ρ = 0.5%, whereas Group B had a ratio of ρ = 0.335%. All slabs had a constant thickness of the SIFCON layer of 20 mm in the tension zone but varied in the dimensions of the SIFCON layer (100, 50, 30%) from the slab dimensions. A square plate with dimensions (140 × 140 × 20) mm supported the load for all slabs. The load was applied gradually until failure, and the load–deflection curves were recorded for each slab. The result showed that using SIFCON in the tension zone improved the flexural resistance of flat slab systems. The hybrid slabs with SIFCON demonstrated higher ultimate loads and lower deflections than the control slabs that used regular concrete. In particular, the hybrid slabs with a 100% SIFCON layer exhibited the best results, with a rise in ultimate load of 179 and 100% for Groups A and B, respectively, compared to the control slabs. In addition, there was a significant decrease in deflection of 62.35 and 52.38% for Groups A and B, respectively, relative to the control slabs. The study found that the optimal combination of the SIFCON dimension was when the 50% slab dimension was covered and the reinforcing bar area for the hybrid reinforcement system was smaller.","PeriodicalId":19512,"journal":{"name":"Open Engineering","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135667568","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}
Ameer A. Alraie, Asaad M. Ali Kadhum, Ali Abbas Kadhem
{"title":"Studying pandemic effects and mitigation measures on management of construction projects: Najaf City as a case study","authors":"Ameer A. Alraie, Asaad M. Ali Kadhum, Ali Abbas Kadhem","doi":"10.1515/eng-2022-0459","DOIUrl":"https://doi.org/10.1515/eng-2022-0459","url":null,"abstract":"Abstract The corona virus pandemic greatly affected Al-Najaf construction sector and its economy. This study ex-amines the impact of pandemic on the sector and assesses the mitigation measures used. A questionnaire was given to 66 construction industry experts, covering 38 variables related to contracts, finance, chain supply, risks, and safety. Results, analyzed using the relative importance index, ranked finance as the top priority, followed by safety, risk, and other factors. Operational aspects, supply chain, and contracts were of lesser concern. Key variables included safety concerns, contractor payment delays, risk management, communication, and health projects. Mitigation measures revealed the importance of management actions and health and safety initiatives. Financial and communication measures were significant, while environmental measures ranked lower. Vaccination and emergency loans were highly valued. Evaluation, communication strategy, and cash support were also important. In conclusion, this study underscores the significance of risk management and safety in mitigating the impact of pandemic on the construction sector. Updating Iraqi legal documentation, particularly for crisis management, is crucial. Adopting a modern management approach is necessary to overcome pandemic-related challenges. The study provides recommendations for further investigation, offering valuable insights for decision-makers and future research in the field.","PeriodicalId":19512,"journal":{"name":"Open Engineering","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134883773","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}