Article
Green & Sustainable Science & Technology
Faiz Habib Anwar, Hilal El-Hassan, Mohamed Hamouda, Abdulkader El-Mir, Safa Mohammed, Kim Hung Mo
Summary: This study evaluates the effect of mix design parameters on the properties of pervious geopolymer concrete and establishes regression models for predicting its performance using the design factors.
Article
Construction & Building Technology
Farshad Zahedi, Mehdi Dehestani
Summary: This research investigated the mechanical properties of mortar under high temperatures by conducting various mix designs and exposing them to different temperature levels. Through extensive tests, optimal water to cementitious material ratios and material percentages were determined for different target temperatures, providing valuable insights into the behavior of mortar under extreme heat conditions.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Thermodynamics
Yan Bai, Yifan Shen, Tingxiang Wang
Summary: This study aimed to assess the optimal ventilation parameters for stratum ventilation (SV) in heating conditions to meet thermal comfort requirements for occupants with different clothing insulations, while improving indoor air quality and achieving energy savings. The effects of operation parameters on thermal comfort were analyzed using experimentally validated Computational Fluid Dynamics simulations and the Taguchi method. Multi-objective optimization was then performed using SPA-TOPSIS to improve ventilation performance considering different clothing insulations.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2023)
Article
Mathematics, Applied
Ya Qin, Rizk M. Rizk-Allah, Harish Garg, Aboul Ella Hassanien, Vaclav Snasel
Summary: This study proposes a novel approach, TOPSIS-IFS, for solving multi-criterion optimization problems (MCOP). The approach integrates the TOPSIS technique with the intuitionistic fuzzy set (IFS) to characterize conflicting objectives and obtain a solution model. The approach is validated through an illustrative example and has been applied to solve the practical problem of multi-objective transportation. The impacts of IFS parameters on the solution are analyzed using the Taguchi method.
Article
Thermodynamics
Ayca Kucukoglu, Celalettin Yuce, Ibrahim Emrah Sozer, Fatih Karpat
Summary: Recently, the usage of laser transmission welding (LTW) technology in the automotive industry has been increasing due to its superior properties in joining thermoplastic parts. However, specifying the process parameters is crucial for achieving satisfactory welding quality. This paper proposes a new multi-response Taguchi-Based TOPSIS method to optimize machining parameters in the LTW process for taillight production in an automotive company.
ADVANCES IN MECHANICAL ENGINEERING
(2023)
Article
Chemistry, Physical
Tomasz Rudnicki
Summary: This article introduces a new functional method for designing self-compacting concrete, based on the double coating assumption. The method consists of four stages responsible for selecting different components of the concrete mix. The procedure takes into account the selection of the mineral skeleton to prevent aggregate grain blocking and ensures the designed liquid phase has high structural viscosity and low yield stress.
Article
Construction & Building Technology
Rahul Biswas, Manish Kumar, Raushan Kumar Singh, Majed Alzara, S. B. A. El Sayed, Mohamed Abdelmongy, Ahmed M. Yosri, Saif Eldeen A. S. Yousef
Summary: Machine learning models were used in this study to forecast the compressive strength of self-compacting concrete based on the replacement percentage of cement. A hybrid artificial neural network (ANN) combined with metaheuristic optimization techniques and two traditional models were employed. Multiple input factors were used, including cement, water-binder ratio, coarse aggregate, fine aggregate, fly ash, and superplasticizer. The suggested machine learning models showed consistent accuracy and can be considered as a robust technique for predicting the compressive strength of self-compacting concrete.
CASE STUDIES IN CONSTRUCTION MATERIALS
(2023)
Article
Construction & Building Technology
Jingjun Li, Enjia Zhao, Jiangang Niu, Chaojun Wan
Summary: The new mixture design method accurately determines the content of raw materials in self-compacting lightweight aggregate concrete, steel fiber addition improves crack resistance, and the improvement effect of micro-steel fiber is significantly better than that of long steel fiber.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Construction & Building Technology
Purwanto, Januarti Jaya Ekaputri, Nuroji, Bobby Rio Indriyantho, Aylie Han, Buntara Sthenly Gan
Summary: This study investigated the shear-bond behavior between conventional and self-compacting geopolymer concrete. The chemical bond characteristics of geopolymer concrete had little effect on the bond strength, but significantly influenced the load-slip pattern of the interface. The study concluded that self-compacting geopolymer concrete is a perfect solution for older structure's external strengthening or retrofitting, with better sustainability and environmental friendliness.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Construction & Building Technology
Sherin Khadeeja Rahman, Riyadh Al-Ameri
Summary: The study introduces a novel self-compacting geopolymer concrete as a sustainable construction material, cured under ambient conditions, and exhibiting mechanical properties comparable to traditional concrete. The concrete utilizes a single alkali activator, with zero cement and superplasticizers.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Construction & Building Technology
Linghui Liu, Mingfeng Lei, Chenjie Gong, Shuqing Gan, Zihan Yang, Lei Kang, Chaojun Jia
Summary: This paper proposes a robust approach to realize the mix design of self-compacting concrete (SCC) by analyzing the fresh behaviors of the concrete and calculating the areas of two generalized self-compacting zones (SCZs) under the coordinate of film's thickness and rheology. The framework is experimentally verified and the accuracy is significantly improved through threshold calibration. The proposed robust mix design method balances the two ranges and demonstrates broad applicability.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Construction & Building Technology
Jawad Ahmad, Zhiguang Zhou
Summary: The addition of steel fibers and marble waste has a positive impact on the performance of self-compacting concrete (SCC) in aggressive environments, improving its mechanical properties, durability, and microstructure.
JOURNAL OF BUILDING ENGINEERING
(2024)
Article
Materials Science, Multidisciplinary
Ponalagappan Chokkalingam, Hilal El-Hassan, Amr El-Dieb, Abdulkader El-Mir
Summary: This study investigates the impact of using ceramic waste and granulated blast furnace slag as a blended binder on the mechanical and durability characteristics of geo-polymer concrete. By utilizing experimental design and optimization techniques, an optimal mix was obtained and validated through experimental testing.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2022)
Article
Construction & Building Technology
K. Vedhasakthi, R. Chithra
Summary: The study focuses on developing self-compacting concrete (SCC) with basalt fibre (BF) to meet the demands of environmentally friendly materials. The addition of BF enhances the strength properties of SCC and improves interfacial bonding with the surrounding concrete matrix. The experimental investigation confirms that BF reduces flow diameter and increases flow time, while increasing compressive, split-tensile, flexural, residual, and impact strength properties at appropriate volume fractions.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Mathematics
Nhat-Duc Hoang
Summary: This paper conducts a comparative study on the predictive capability of machine learning models for estimating the compressive strength of self-compacting concrete. The results indicate that deep neural network regression (DNNR) is the best model, followed by extreme gradient boosting machine (XGBoost). These models show great potential in modeling the compressive strength of self-compacting concrete.
Article
Engineering, Manufacturing
Yusuf Tansel Ic
Summary: This paper presents an analysis of the throughput of a unit-load automated storage and retrieval system (AS/RS) using an S/R machine for diagonal aisle transportation and a structure for both vertical and horizontal transportations. The authors propose a simplified and more efficient method for predicting the throughput performance of the AS/RS.
JOURNAL OF ADVANCED MANUFACTURING SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Ismail Bicakci, Yusuf Tansel Ic, Esra Karasakal, Berna Dengiz
Summary: In this paper, a multi-objective decision model is developed to minimize both the repair time and repair costs, considering the movement of defective components using multiple transportation modes. The epsilon constraint method is used to analyze the trade-off between total repair costs and total repair time. An example problem is used to demonstrate the approach.
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING
(2022)
Article
Computer Science, Artificial Intelligence
Kumru Didem Atalay, Yusuf Tansel Ic, Baris Kececi, Mustafa Yurdakul, Melis Boran
Summary: The study explores the use of fuzzy methods to address uncertainties and incomplete information in ranking nontraditional manufacturing processes. A hesitant fuzzy PSI method is proposed for assessing criteria weights and ranking the most suitable NTMP for specific applications effectively.
Article
Computer Science, Artificial Intelligence
Yusuf Tansel Ic, Mustafa Yurdakul, Esra Pehlivan
Summary: This study developed a hybrid model using AHP and DOE to obtain overall financial performance scores by combining performance scores at financial ratios and rankings within the commercial banking sector for 18 Turkish commercial banks. The comparison between the hybrid model and the AHP approach showed that the hybrid model provides statistically similar but more robust performance scores and rankings.
Article
Education & Educational Research
Muhammet Yorulmaz, Yusuf Tansel Ic
Summary: The accreditation studies and number of accredited programs in engineering education are increasing, with a focus on individual student achievement of program outcomes. A decision support system based on a multi-criteria decision-making model has been developed to determine individual program outcomes achievement levels, aiming to prevent deficiencies in the accreditation process.
EDUCATION AND INFORMATION TECHNOLOGIES
(2022)
Article
Engineering, Manufacturing
Yusuf Tansel Ic, Turgut Sasmaz, Mustafa Yurdakul, Berna Dengiz
Summary: This study aims to investigate the effects of different levels of flexibility parameters on the performance of a flexible manufacturing cell (FMC) using an interactive analysis framework based on TOPSIS and Taguchi parameter design principles. The effectiveness of the flexibility parameters for a FMC is assessed using a combined model of an interactive approach based on TOPSIS and Taguchi methods.
INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM
(2022)
Article
Engineering, Manufacturing
Osman Emre Celek, Mustafa Yurdakul, Yusuf Tansel Ic
Summary: This paper presents the combined usage of axiomatic design principles and simulation in the development and comparison of alternative assembly systems for airplane fuselage panels. It demonstrates how the proposed approach can provide performance results for each alternative and facilitate a comparison among them, serving as a reference guide for system designers in designing other assembly systems.
INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM
(2022)
Article
Engineering, Manufacturing
Yusuf Tansel Ic, Mustafa Yurdakul, Berna Dengiz, Turgut Sasmaz
Summary: A combined model of a 2(k) design of experiment (DOE) and goal programming (GP) approaches is presented to determine optimum levels of input variables and analyze their robustness for a multiobjective performance of a flexible manufacturing cell (FMC) in this study. The study shows that even with a limited number of experiments, one can determine optimum input levels for the multiobjective performance of the FMC and determine their robustness.
JOURNAL OF ADVANCED MANUFACTURING SYSTEMS
(2023)
Article
Social Sciences, Interdisciplinary
Inanc Barutcu, Yusuf Tansel Ic
Summary: The authors present a location selection model for field hospital establishment after a possible earthquake in Ankara, Turkey using the VIKOR method. The findings indicate that the VIKOR model significantly improves the decision-making process for field hospital location selection.
INTERNATIONAL JOURNAL OF EMERGENCY SERVICES
(2022)
Article
Engineering, Multidisciplinary
Levent Sozen, Mustafa Yurdakul, Yusuf Tansel Ic
Summary: This study evaluates pipelines with internal surface defects and under variable pressure, and proposes a new risk-based inspection planning method for pipelines. The study provides an evaluation of the probability of fatigue failure for pipelines with internal surface defects and calculates the probability of fatigue failure for a fuel pipeline between a refinery and an oil terminal.
INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING
(2022)
Article
Green & Sustainable Science & Technology
Dicle Oluklu, Yusuf Tansel Ic
Summary: This paper presents a TOPSIS-based LP approach for determining optimal quantities of renewable energy sources. By combining forecasting model, TOPSIS, and LP methods, the optimal results are determined. This decision support approach has practical applicability in meeting future energy demand in Turkey.
PROCESS INTEGRATION AND OPTIMIZATION FOR SUSTAINABILITY
(2023)
Article
Multidisciplinary Sciences
Yusuf Tansel Ic, Mustafa Yurdakul, Berna Dengiz, Turgut Sasmaz
Summary: Machine sequence flexibility is investigated in this study for its importance in the performance of a flexible manufacturing cell (FMC). Existing studies have examined the effects of flexibility types, such as routing flexibility, on manufacturing systems. This study presents a performance measurement model based on Taguchi methods to evaluate the effects of machine sequence flexibility factors on FMC performance.
GAZI UNIVERSITY JOURNAL OF SCIENCE
(2023)
Article
Energy & Fuels
Nejla Abaci, Yusuf Tansel Ic
Summary: This article develops an applicant company selection model for heat-pump VRF air conditioning systems, and presents a selection model for three different buildings based on building characteristics and climate conditions, using the Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE) method.
INTERNATIONAL JOURNAL OF ENERGY AND ENVIRONMENTAL ENGINEERING
(2022)
Article
Multidisciplinary Sciences
Yusuf Tansel Ic, F. Selin Akkoc, Nergis Gumusboga, Zeynep Balli
Summary: This paper presents an integrated Taguchi goal programming model to quantify carbon emissions in a conventional turning process, as well as investigate the breakdown of turning machine tool sub-systems contributing to overall carbon emissions. The study offers a different perspective from literature-based carbon emission optimization studies by presenting a sub-cutting factor level-based optimization study to determine more sensitive parameter ranges for the turning process.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2022)
Article
Multidisciplinary Sciences
Yusuf I. C. Tansel
Summary: This study introduces a novel prediction model in response to the limitations of clinical characteristic evaluation methods during the COVID-19 pandemic, and validates its effectiveness through real data. Despite the small sample size, the model provides a framework for real-time clinical applications.
GAZI UNIVERSITY JOURNAL OF SCIENCE
(2021)
Article
Automation & Control Systems
Haifei Peng, Jian Long, Cheng Huang, Shibo Wei, Zhencheng Ye
Summary: This paper proposes a novel multi-modal hybrid modeling strategy (GMVAE-STA) that can effectively extract deep multi-modal representations and complex spatial and temporal relationships, and applies it to industrial process prediction.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2024)