Misan Journal of Engineering Sciences最新文献

{"title":"Experimental Investigation of Continuous Shear Bonding Field in Ferrocement-Aluminium Composite Elements","authors":"Prof. Dr. Sa’ad Fahad, Resan, P. D. N. A. Jasim","doi":"10.61263/mjes.v1i1.11","DOIUrl":"https://doi.org/10.61263/mjes.v1i1.11","url":null,"abstract":"Bonding between various construction materials is the key to developing smart composite action within structural elements, likewise beams, slabs, columns, etc. The push-out test is best to determine shear bonding strength and related slip and uplift response in composite components. Push-out test almost could be considered a smart, efficient technique to predict the shear bonding strength between various construction materials in the laboratory. There is no code specification related to the push-out test for adhesive shear bonding. This study introduces a suggested mode regarding continuous shear bonding field in concrete-metal composite elements, which adopts the most common configuration considered in investigating the mechanical fastener's shear resistance. An experimental program is considered. The results depict that the failure loads are changed from (55.7 kN) to (58.01 kN) as the thickness of the adhesive epoxy layer increased from 3 mm to 6 mm, and the results related to the behaviour of load - slip an exponential equation normalizes response of adhesive epoxy layer. Generally, the obtained results confirmed that the introduced continuous shear bonding field could be considered a more proper technique than the mechanical technique. The slip remains very small during the test.","PeriodicalId":253933,"journal":{"name":"Misan Journal of Engineering Sciences","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122787786","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":"Improving RC Beam-Column Joints Characteristics Using Different Reinforcement Details","authors":"A. Jaafer, Dhiaa Chasib Resheqal","doi":"10.61263/mjes.v1i1.10","DOIUrl":"https://doi.org/10.61263/mjes.v1i1.10","url":null,"abstract":"This paper aims to study the effect of concrete confining using a new style of internal closed stirrups and longitudinal steel bars along with the middle third of the beam length of the beam-column joints. Also, the influence of concrete compressive strength was investigated using three types of concrete normal strength concrete (NSC), high strength concrete (HSC), and steel fiber concrete (SFRC). Nine reinforced concrete specimens with the same dimensions are divided into three groups according to the concrete type with different reinforcement details in the middle third of the specimen’s length. Four specimens with (NSC) represent the first group, while three specimens consist in the second group with (HSC). Steel fiber of 2% was used in two specimens of the third group (SFRC). The test results showed that using additional reinforcement steel bars as a closed stirrup arranged about the neutral axis improved the flexural strength and enhanced the load-carrying capacity for the reinforced concrete joints. The ultimate capacity of the joints increased by a range (34 to 50) % more than the control specimen. The ultimate strength was also increased for the specimens due to using high-strength concrete with a range (of 13 to 66) % compared with the specimen of normal compressive strength.","PeriodicalId":253933,"journal":{"name":"Misan Journal of Engineering Sciences","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133572960","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":"Preparation of PMMA/SiO2 Composite Sheets for Tribological and Mechanical Tests","authors":"Mushtaq Abdul Kareem Hussein","doi":"10.61263/mjes.v1i1.22","DOIUrl":"https://doi.org/10.61263/mjes.v1i1.22","url":null,"abstract":"This paper aims to prepare PMMA sheets (Polymethyl methacrylate sheets) reinforced with SiO2 nanoparticles (Silicon oxide nanoparticles) to obtain samples for tribological and mechanical tests. PMMA reinforced sheets are prepared by three methods; dissolving, pressing, and casting. In the first method, the pure PMMA granules were dissolved with an organic solvent. The SiO2 nanoparticles were dispersed using a magnetic stirrer. Then, the solution was poured into a glassy mold. In the second method, pure PMMA powder was used, and SiO2 nanoparticles were dispersed using a nanoparticle disperser device; then, the mixture was placed in a metal mold and pressed by a thermo-hydraulic press. While in the third method, pure PMMA resin and hardener were used, and SiO2 nanoparticles were dispersed using an ultrasonic probe machine, and then the mixture was poured into a glassy mold. The three preparation results showed that the obtained sheets were free of bubbles and that their surfaces were of excellent smoothness and could be cut using a laser to obtain the samples required for tribological and mechanical tests such as tensile test, impact test, wear test, surface hardness test, surface roughness test, and scratch resistance test and others.","PeriodicalId":253933,"journal":{"name":"Misan Journal of Engineering Sciences","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116057798","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":"Mechanical Properties of Concrete Contained Recycled PVC Additives","authors":"A. Dawood, H. Adnan","doi":"10.61263/mjes.v1i1.9","DOIUrl":"https://doi.org/10.61263/mjes.v1i1.9","url":null,"abstract":"This research is studied the possibility of reusing PVC pipes wastes as partial replacement of sand within concrete mixture. In this study, the fine aggregate is replaced with PVC at dosages 1.25%, 2.5%, 3.75% and 5% by weight of sand with superplasticizer (SP) admixture. The mechanical properties are evaluated, which included compressive strength, splitting tensile strength, and flexural strength, in which for each one, 60 specimens are tested for water to cement ratios 0.41 and 0.53. Also, the effect of these wastes on the strengths and serviceability of concrete beams are investigated by testing three simply supported reinforced concrete beams of dimensions 150×200×1400 mm.  It is concluded that w/c ratio of 41% of the replacement of fine aggregates with 1.25% PVC particles showed the optimum results for compressive, tensile and flexural strengths, namely 31.66 %, 6.45%, and 31.23%, respectively, more than control mixture. The beam specimen that contain on 1.25% of PVC particles showed an increase in ultimate load by about 6.06% compared to the reference beam. While the hybrid cross section beam showed a relatively small reduction in ultimate load compared to reference beam, i.e, 14.5%. Thus with hybrid sections considerable amount of plastic wastes could be recycled with relatively small reduction in ultimate capacity of beams.","PeriodicalId":253933,"journal":{"name":"Misan Journal of Engineering Sciences","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128007532","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":"Solving Unit Commitment Including Wind Power Generation Using PSS®E","authors":"Ameer L. Saleh, Hisham Dawood Salman Altai, Mohammed H. Lazim, H. Hazim, Aymen Lpizra","doi":"10.61263/mjes.v1i1.25","DOIUrl":"https://doi.org/10.61263/mjes.v1i1.25","url":null,"abstract":"Operating the power system in an optimal way and keeping it safe and reliable is very important in power systems planning and operation.  The power system currently has a large variety of power plants that operate with different kinds of fossil fuel or use renewable energy to produce power. As the demand on electricity is fluctuated, utilities are obligated to provide consumers with power at any time during a day. Power system operators try to supply electricity in an economic operation by turning on the cheapest generating units and turning off the most expensive ones at off-peak value of the load. Finding the optimal combination of units to supply forecasting load is called unit commitment problem (UC). The second step of the optimization problem is finding the optimal output power from each committed unit, which known as economic dispatch (ED). The main benefits of solving the unit commitment problem and economic dispatch are to minimize generation cost over the objective period horizon while applying all system constraints that come from generating units’ limits and the transmission system’s characteristics, as well as to verify the balance between power generation and power demand. While, the optimal power flow (OPF) tries to find the optimal dispatch for the whole power system, but by taking into account all systems constrain, such as voltage security and transmission line limit. The optimal power flow can control many variables to find the optimal operation of the system, like a transformer tap changer, phase shifter, switched shunt, and load adjustment. In this paper, power system simulator for engineering (PSS®E) is used to solve unit commitment, economic dispatch, and optimal power flow. The implementation is performed on IEEE 30-bus system for a 24-hour period. In the first stage, the UC, ED, and OPF were solved for the systems without including wind power generation. In the second stage, UC, ED, and OPF were solved by including a wind-power farm with 100 MW rated power connected to the system. The solution is based on 24-hour wind data forecasting, and 24-hour power demand's prediction.","PeriodicalId":253933,"journal":{"name":"Misan Journal of Engineering Sciences","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130638917","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":"Intelligent Expert System for Diagnosing Faults and Assessing Quality of Power Transformer Insulation Oil by DGA Method","authors":"A. R. Hussein, Adel M. Dakhil, J. Rashed, M. F. Othman","doi":"10.61263/mjes.v1i1.21","DOIUrl":"https://doi.org/10.61263/mjes.v1i1.21","url":null,"abstract":"Accurate assessment of oil and fault diagnostics of electrical power transformer insulation for lifelong endurance are the key issues addressed in this research. The durability of a transformer is significantly determined by the quality of its insulation oil, which deteriorates over time due to temperature fluctuations and moisture content. Protecting transformers from potential failure through the early and precise diagnosis of faults and efficient assessment of oil quality during the actual conduct of the operation can avoid sizeable economic losses. The ANFIS Expert System that uses intelligent software plays an important role. The dissolved gas analysis (DGA) in oil is reliable for diagnosing faults and assessing insulation oil quality in transformers. Transformer power plant protection teams often suffer sudden breakdowns that lead to massive damage and huge financial losses. The oil in transformers must be appropriately treated to circumvent such failures. In this research, an ANFIS Expert System was used to diagnose faults and assess insulation oil status and quality in power transformers. by the Rogers ratio method depending on the DGA in oil, a suitable treatment was identified. The graphical user interface from the MATLAB environment was used and proven effective for fault diagnosis and oil quality evaluation. The training algorithm can assess oil quality according to the specifications of the IEEE standard C57-104 and the IEC standard 60599.","PeriodicalId":253933,"journal":{"name":"Misan Journal of Engineering Sciences","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130302551","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 Hybrid Stochastic Algorithm with Domain Reduction for Discrete Structural Optimization","authors":"Mustafa Al-Bazoon, Jasbir Arora","doi":"10.61263/mjes.v1i2.14","DOIUrl":"https://doi.org/10.61263/mjes.v1i2.14","url":null,"abstract":"In recent years, many nature-inspired metaheuristic optimization algorithms have been proposed in an effort to develop efficient and robust algorithms. The drawback in most of them is the large number of simulations required to obtain good designs. To reduce the number of structural analyses to reach the best design, a new two-phase algorithm is proposed and evaluated. This hybrid algorithm is based on the well-known Harmony Search (HS) algorithm and recently developed Colliding Bodied Optimization (CBO). HS analyzes and improves one design in every iteration whereas CBO generates and analyzes a new population of designs in every iteration. Based on the observed behavior of these two algorithms, a Hybrid Harmony Search - Colliding Bodies Optimization (HHC) is proposed. The first phase of HHC uses the Improved Harmony Search (IHS) algorithm. A new design domain reduction technique is also incorporated in IHS that dramatically reduces the number of possible combinations of discrete variables. This improves the performance of the IHS algorithm. The second phase uses the Enhanced Colliding Bodies Optimization (ECBO). ECBO receives final designs from the first phase to enhance them further. This makes the second phase need fewer iterations in comparison with the ECBO alone. The performance of the proposed algorithms is evaluated using some benchmark discrete structural optimization problems, although the method is applicable to continuous-variable problems as well. The results show HHC with design domain reduction to be quite effective, robust, and needs a smaller number of structural analyses to solve optimization problems in comparison with IHS, ECBO, and some other metaheuristic optimization algorithms. HHC with design domain reduction is shown to be quite robust in the sense that different runs for a problem obtain the same final design. In comparison with HIS and ECBO, HHCD reduces the number of structural analyses to find the best design to less than half. This is an important feature that leads to better confidence in the final solution from a single run of the algorithm for a problem.","PeriodicalId":253933,"journal":{"name":"Misan Journal of Engineering Sciences","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121637573","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}