Article
Construction & Building Technology
Long D. Nguyen, Dai Q. Tran
Summary: The study found that only 11 risk factors represented 77% of the variables, and the majority of studies arbitrarily assigned FMFs to their risk variables, despite the fact that defining FMFs is a critical step for the successful use of FST-based methods.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2021)
Article
Engineering, Industrial
Peng Yan, Junying Liu, Xianbo Zhao, Martin Skitmore
Summary: This research aims to develop a decision method for international construction project managers to generate appropriate risk response strategies, considering their different risk preferences. The study finds that PMs with higher risk aversion may result in a higher mitigation ratio of expected losses of risk events and a higher total cost of risk response.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2022)
Article
Construction & Building Technology
Muhammad Saiful Islam, Madhav Prasad Nepal, Martin Skitmore, Robin Drogemuller
Summary: This study introduces an integrated model combining fuzzy set theory and fuzzy Bayesian belief network for determining contingency costs in infrastructure projects. The model, demonstrated in real power plant projects in Bangladesh, shows promising results with a maximum error of 20% in predicting contingency costs. It has the potential to assist owners and contractors in setting realistic contingency costs and dynamically updating them during project execution.
AUTOMATION IN CONSTRUCTION
(2021)
Article
Construction & Building Technology
Qiankun Wang, Jiaji Zhang, Ke Zhu, Peiwen Guo, Chuxiong Shen, Zhihua Xiong
Summary: With the rapid urbanization, the construction of urban subway tunnel networks is becoming deeper, denser, and larger. However, there is a lack of systematic identification and dynamic reasoning analysis of factors in the whole process of subway tunnel construction using the mining method. In order to improve safety risk management, a dynamic safety evaluation method based on Fuzzy Set Theory and Bayesian Network is proposed. This research provides insights for the scientific management of safety risks in the construction of subway tunnels using the mining method.
Article
Energy & Fuels
Amirhossein Karamoozian, Desheng Wu, James H. Lambert, Cuicui Luo
Summary: A novel approach is proposed to assess the investment risks of renewable energy projects, and wind energy is found to be the most appropriate alternative. The robustness and validity of the results from the proposed approach are also examined.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Construction & Building Technology
Mamdouh Mohamed, Dai Q. Tran
Summary: This study investigates the impact of inspection activities on the quality of HMA pavement by developing a risk analysis model, using fuzzy set theory and Bayesian belief networks. The model is capable of identifying potential causes of risk and providing guidance on risk mitigation, contributing to optimizing inspection resources.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2021)
Article
Construction & Building Technology
Sherif El-Habashy, Fahad K. Alqahtani, Mohamed Mekawy, Mohamed Sherif, Mohamed Badawy
Summary: Planners often face obstacles in project planning, particularly when it comes to project scheduling due to the uniqueness and complexity of each project. While traditional planning and scheduling methods are insufficient, integrating 4D-BIM with modern technologies such as UAS can greatly improve project scheduling by providing access to project plans and details. Despite the benefits, planners still prefer traditional methods due to barriers in adopting modern technologies. This research proposes a model to estimate the weights of BIM barriers in offshore construction projects and provides guidance for project managers to enhance the use of 4D-BIM.
Article
Construction & Building Technology
Xiaolin Xun, Jun Zhang, Yongbo Yuan
Summary: This paper proposes a safety risk assessment approach based on BIM, IFS theory, and D-S evidence theory. It establishes a collapse risk evaluation index system and enriches the semantic information of the BIM model. Utilizing IFS theory and D-S evidence theory, multi-information fusion is performed to dynamically determine safety risk levels. The method is applied to a tunnel construction project in Dalian, China, and its feasibility and effectiveness are verified.
Article
Engineering, Civil
Mohammadsaeid Parsamehr, Rajeev Ruparathna
Summary: Building Information Modeling (BIM) is a promising technology in the construction sector. However, current BIM-based safety risk assessment methods overlook data uncertainty. This study integrates BIM with fuzzy set theory to predict safety risks. A Fuzzy Inference System (FIS) extracts construction project data from BIM models to assess potential safety hazards and overall project risk. The proposed method was demonstrated in a building project, accurately predicting a low safety risk. It can help enhance worker safety by indicating safety risks at different stages of a construction project.
CANADIAN JOURNAL OF CIVIL ENGINEERING
(2023)
Article
Engineering, Civil
Mohammadsaeid Parsamehr, Rajeev Ruparathna
Summary: This study integrates building information modeling (BIM) with fuzzy set theory to predict safety risks in construction projects. Using a Fuzzy Inference System (FIS), potential safety hazards and overall project risk are assessed automatically. The method was demonstrated to accurately predict safety risks, as evidenced by the absence of safety incidents in the analyzed building project.
CANADIAN JOURNAL OF CIVIL ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Ibtisam Masmali, Ali Ahmad, Muhammad Azeem, Ali N. A. Koam
Summary: The uncertainty and ambiguity in information is a major challenge in aggregation. The use of the spherical fuzzy set (SFS) framework is significant in multi-attribute decision-making (MADM). This article introduces and investigates a family of new aggregation operators for the SFS framework. These operators are applied to assess pilot health projects (PHP) in MADM.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Construction & Building Technology
Mamdouh Mohamad, Dai Q. Tran
Summary: The study proposes a risk-based inspection framework for optimizing construction inspections in highways, using core inspection activities, risk impact data, and model development. The adoption of a fuzzy Bayesian belief network increases the efficiency and functionality of quality assurance inspection risk analysis, providing guidelines for highway agencies to develop risk-based inspection strategies.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2021)
Article
Computer Science, Artificial Intelligence
Melike Erdogan, Ihsan Kaya, Ali Karasan, Murat Colak
Summary: This paper proposes a study using a multi-criteria decision-making method to evaluate alternative solutions of autonomous vehicle driving systems, taking into account risk criteria. The results of the study indicate that "Software Specifications" and "Reliability" are the most important main and sub-criteria.
APPLIED SOFT COMPUTING
(2021)
Article
Engineering, Multidisciplinary
Kai Hu, Junwu Wang, Han Wu
Summary: Frequent extreme climate events and rapid urbanization have increased accidents like waterlogging and pollution overflow in cities, leading to a wider application of large-sized deep drainage tunnel projects. Scientific evaluation of construction safety risks can reduce economic losses and casualties. The proposed model for LSDDTP safety risk assessment outperformed other methods, demonstrating the importance of accurately assessing and managing construction risks in urban areas.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2021)
Article
Environmental Studies
Ting Yuan, Bo Shu, Hailin Li, Lanxing Xiong
Summary: With the increasing demands for environmental protection, risk analysis plays a significant role in assessing the environmental impact accidents (EIAA) of construction projects. This study aims to explore different risk scenarios and their probabilities of EIAA. By applying Grounded Theory and Bayesian Network methods, the research identifies 21 risk variables within 5 categories and proposes 4 high-risk scenarios with probabilities ranging from 89.6% to 90.3%. These findings provide valuable references for environmental impact assessments of construction projects.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2023)
Article
Multidisciplinary Sciences
Thrinadh Jadam, Rahul, Saurav Datta, Siba Sankar Mahapatra
Summary: This study outlines an experimental research on electro-discharge machining of Inconel 718 superalloy using a copper tool electrode, focusing on the effects of peak discharge current, pulse duration, and gap voltage on surface properties. EDS analysis and XRD tests were conducted to investigate carbon enrichment and metallurgical features, with results compared to micro-indentation hardness test data.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES INDIA SECTION A-PHYSICAL SCIENCES
(2021)
Article
Engineering, Multidisciplinary
Sarthak Prasad Sahoo, Saurav Datta
Summary: Traditional dry machining of 'difficult-to-cut' titanium alloy Ti-6Al-4V has always been challenging due to its low thermal conductivity, work-hardening tendency, and chemical reactivity. Selecting the right tool material and controlling cutting parameters are crucial for satisfactory machining results. In this study, cermet tools outperformed other counterparts in terms of lower tool-tip temperature, reduced flank wear, and better machined surface integrity.
SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
(2021)
Article
Engineering, Multidisciplinary
Sarthak Prasad Sahoo, Saurav Datta, Tarapada Roy, Suman Ghosh
Summary: The study investigated the machining performance of Ti6Al4V under different environments, with water-based MQL showing significant reduction in tool wear at low cutting speeds. Vibration amplitude was found to have a positive impact on chip-curl degree.
SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
(2021)
Article
Engineering, Multidisciplinary
Sarthak Prasad Sahoo, Saurav Datta
Summary: Ti-6Al-4V alloy is a potential material for aerospace and biomedical engineering due to its high temperature strength, corrosion resistance, and strength-to-weight ratio. However, its low thermal conductivity and chemical properties often lead to aggressive cutting conditions and poor surface quality in conventional machining. Therefore, selecting proper cutting tools is crucial for achieving desired machining performance without using coolants.
SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
(2022)
Article
Engineering, Mechanical
Sarthak Prasad Sahoo, Saurav Datta
Summary: During dry machining of Ti-6Al-4V alloy, the use of HSN2 coated carbide tool reduces cutting forces, tool-tip temperature, and wear severity, resulting in the production of better machined surface quality with reduced chip segmentation ratio.
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING
(2022)
Article
Multidisciplinary Sciences
Nimai Haldar, Sameer Anand, Saurav Datta, Atanu Das
Summary: A slab with dimensions of (152 x 25 x 18) mm(3) was successfully fabricated using Cold Metal Transfer + Metal Inert Gas-based Wire Arc Additive Manufacturing (WAAM), achieving a deposition rate of 4.3 kg/h. The WAAMed Inconel 718 exhibited a dendritic microstructure that grew along the build direction. Different phases, such as Laves phase, Nb-rich MC-type carbides, and delta (d) phases, were detected in the solid solution matrix of Ni-Cr-Fe. The average tensile strength in the horizontal direction was approximately 824 MPa. The microstructure evolution at specific locations caused significant anisotropy in properties, primarily along the build direction.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Akshay Kumar, Saurav Datta, Tarapada Roy, Siba Sankar Mahapatra
Summary: Auxetic metamaterials, with cellular structures and better mechanical properties, have wide engineering applications. In this study, the auxetic behavior of chiral honeycomb structures was investigated using the Finite Element Method, and tensile specimens were fabricated using Fused Filament Fabrication (FFF). The effects of FFF parameters on part quality and build time were analyzed, and an optimal combination of FFF parameters was determined.
SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
(2022)
Article
Engineering, Multidisciplinary
Sarthak Prasad Sahoo, Kshitij Pandey, Saurav Datta
Summary: In this study, the machinability of difficult-to-cut Inconel 718 aerospace superalloy is investigated under vegetable oil-based minimum quantity lubrication (MQL) with different cutting tool materials. Coated tools show lower tool-tip temperature and cutting forces compared to uncoated tools.
SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
(2022)
Article
Engineering, Multidisciplinary
Kshitij Pandey, Saurav Datta, Tarapada Roy
Summary: This study investigates the turning performance of Inconel 825 superalloy under Nanofluid Minimum Quantity Lubrication (NFMQL), revealing that NFMQL machining exhibits lower cutting force, reduced tool-tip temperature, and less severe tool wear compared to dry machining. Additionally, NFMQL produces thinner chips with shorter segmentation spacing and wider shear angle.
SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
(2022)
Proceedings Paper
Materials Science, Multidisciplinary
Kshitij Pandey, Sarthak Prasad Sahoo, Saurav Datta
Summary: Inconel 825 superalloy has excellent hot strength and corrosion resistance, making it widely used in various industries. However, its properties make it challenging to machine. This study investigated the machining behavior of Inconel 825 under Minimum Quantity Lubrication (MQL), studying the effects of cutting speed on tool-tip temperature, cutting force, and tool wear depth.
MATERIALS TODAY-PROCEEDINGS
(2021)
Proceedings Paper
Materials Science, Multidisciplinary
Santosh Kumar Sahu, Jadam Thrinadh, Saurav Datta
Summary: The study investigates the machinability of K-90 alumina ceramic for Fluidized-Bed Abrasive Jet Machining (FB-AJM) with Silicon Carbide (SiC) abrasives. It considers various input process factors and uses a design of experiment to study the effects on output responses. TOPSIS integrated with Taguchi method is applied to determine the most appropriate AJM parameters for optimal results.
MATERIALS TODAY-PROCEEDINGS
(2021)
Proceedings Paper
Materials Science, Multidisciplinary
Kshitij Pandey, Lebbar Md Abdul Rahman, Saurav Datta
Summary: Nickel-based superalloy Inconel 825 is widely used in aerospace, defense, and automotive industries due to its high corrosion resistance and strength, but it is classified as 'difficult-to-cut' because of its strong work-hardening tendency. This study investigates the machinability of Inconel 825 under dry conditions using uncoated tungsten carbide tool.
MATERIALS TODAY-PROCEEDINGS
(2021)
Proceedings Paper
Materials Science, Multidisciplinary
Santosh Kumar Sahu, Thrinadh Jadam, Saurav Datta
Summary: The feasibility study of using transformer oil as dielectric media in EDM for Inconel 718 super alloy showed improved material removal rate, reduced surface roughness, and surface crack density, but thicker white layer formation. This concept promotes eco-friendly and economic execution of EDM operations.
MATERIALS TODAY-PROCEEDINGS
(2021)
Proceedings Paper
Materials Science, Multidisciplinary
Surjeet Singh Bedi, Sarthak Prasad Sahoo, Bikkina Vikas, Saurav Datta
Summary: This study investigates the machining performance of AISI304 stainless steel under a dry machining environment, analyzing tool-tip temperature, cutting forces, flank wear depth, wear mechanisms, and chip macromorphology at various cutting speeds. Key findings include the maximum tangential cutting force at 190 m/min cutting speed, highest tool-tip temperature at 88.9 degrees C, and peak flank wear depth at 247 m/min.
MATERIALS TODAY-PROCEEDINGS
(2021)
Proceedings Paper
Materials Science, Multidisciplinary
Thrinadh Jadam, Saurav Datta, Manoj Masanta
Summary: This study focuses on reducing the consumption of cutting fluid by using microwave post-treated WC-Co inserts without compromising dry machining performance when machining Inconel 718 superalloys. The effects of microwave treatment on tool wear, including different wear modes and progression depth of flank wear, are investigated and compared with conventional inserts. The study also analyzes the beneficial effects of microwave post-treatment on WC-Co inserts in terms of microhardness, wear resistance, and microstructural alteration. The improved properties of microwave-treated WC-Co inserts are correlated with the machinability of Inconel 718.
MATERIALS TODAY-PROCEEDINGS
(2021)
Article
Automation & Control Systems
Carmen Bisogni, Lucia Cimmino, Michele Nappi, Toni Pannese, Chiara Pero
Summary: This paper presents a gait-based emotion recognition method that does not rely on facial cues, achieving competitive performance on small and unbalanced datasets. The proposed approach utilizes advanced deep learning architecture and achieves high recognition and accuracy rates.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Soung Sub Lee
Summary: This study proposed a satellite constellation method that utilizes machine learning and customized repeating ground track orbits to optimize satellite revisit performance for each target.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Jian Wang, Xiuying Zhan, Yuping Yan, Guosheng Zhao
Summary: This paper proposes a method of user recruitment and adaptation degree improvement via community collaboration to solve the task allocation problem in sparse mobile crowdsensing. By matching social relationships and perception task characteristics, the entire perceptual map can be accurately inferred.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Yuhang Gai, Bing Wang, Jiwen Zhang, Dan Wu, Ken Chen
Summary: This paper investigates how to reconfigure existing compliance controllers for new assembly objects with different geometric features. By using the proposed Equivalent Theory of Compliance Law (ETCL) and Weighted Dimensional Policy Distillation (WDPD) method, the learning cost can be reduced and better control performance can be achieved.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Zhihao Xu, Zhiqiang Lv, Benjia Chu, Zhaoyu Sheng, Jianbo Li
Summary: Predicting future urban health status is crucial for identifying urban diseases and planning cities. By applying an improved meta-analysis approach and considering the complexity of cities as systems, this study selects eight urban factors and explores suitable prediction methods for these factors.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Yulong Ye, Qiuzhen Lin, Ka-Chun Wong, Jianqiang Li, Zhong Ming, Carlos A. Coello Coello
Summary: This paper proposes a localized decomposition evolutionary algorithm (LDEA) to tackle imbalanced multi-objective optimization problems (MOPs). LDEA assigns a local region for each subproblem using a localized decomposition method and restricts the solution update within the region to maintain diversity. It also speeds up convergence by evolving only the best-associated solution in each subproblem while balancing the population's diversity.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Longxin Zhang, Jingsheng Chen, Jianguo Chen, Zhicheng Wen, Xusheng Zhou
Summary: This study proposes a lightweight PCB image defect detection network (LDD-Net) that achieves high accuracy by designing a novel lightweight feature extraction network, multi-scale aggregation network, and lightweight decoupling head. Experimental results show that LDD-Net outperforms state-of-the-art models in terms of accuracy, computation, and detection speed, making it suitable for edge systems or resource-constrained embedded devices.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Kemal Ucak, Gulay Oke Gunel
Summary: This paper introduces a novel adaptive stable backstepping controller based on support vector regression for nonlinear dynamical systems. The controller utilizes SVR to identify the dynamics of the nonlinear system and integrates stable BSC behavior. The experimental results demonstrate successful control performance for both nonlinear systems.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Dexuan Zou, Mengdi Li, Haibin Ouyang
Summary: In this study, a photovoltaic thermal collector is integrated into a combined cooling, heating, and power system to reduce primary energy consumption, operation cost, and carbon dioxide emission. By applying a novel genetic algorithm and constraint handling approach, it is found that the CCHP scenarios with PV/T are more efficient and achieve the lowest energy consumption.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Abhinav Pandey, Litton Bhandari, Vidit Gaur
Summary: This research proposes a novel model-agnostic framework based on genetic algorithms to identify and optimize the set of coefficients of the constitutive equations of engineering materials. The framework demonstrates solution convergence, scalability, and high explainability for a wide range of engineering materials. The experimental validation shows that the proposed framework outperforms commercially available software in terms of optimization efficiency.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Zahra Ramezanpoor, Adel Ghazikhani, Ghasem Sadeghi Bajestani
Summary: Time series analysis is a method used to analyze phenomena with temporal measurements. Visibility graphs are a technique for representing and analyzing time series, particularly when dealing with rotations in the polar plane. This research proposes a visibility graph algorithm that efficiently handles biological time series with rotation in the polar plane. Experimental results demonstrate the effectiveness of the proposed algorithm in both synthetic and real world time series.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
ChunLi Li, Qintai Hu, Shuping Zhao, Jigang Wu, Jianbin Xiong
Summary: Efficient and accurate diagnosis of rotating machinery in the petrochemical industry is crucial. However, the nonlinear and non-stationary vibration signals generated in harsh environments pose challenges in distinguishing fault signals from normal ones. This paper proposes a BP-Incremental Broad Learning System (BP-INBLS) model to address these challenges. The effectiveness of the proposed method in fault diagnosis is demonstrated through validation and comparative analysis with a published method.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Fatemeh Chahkoutahi, Mehdi Khashei
Summary: The classification rate is the most important factor in selecting an appropriate classification approach. In this paper, the influence of different cost/loss functions on the classification rate of different classifiers is compared, and empirical results show that cost/loss functions significantly affect the classification rate.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Jicong Duan, Xibei Yang, Shang Gao, Hualong Yu
Summary: The study proposes a novel partition-based imbalanced multi-label learning algorithm, MLHC, which divides the original label space into disconnected subspaces using hierarchical clustering. It successfully tackles the class imbalance problem in multi-label data and outperforms other class imbalance multi-label learning algorithms.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Review
Automation & Control Systems
Qing Qin, Yuanyuan Chen
Summary: This paper offers a comprehensive review of retinal vessel automatic segmentation research, including both traditional methods and deep learning methods. In particular, supervised learning methods are summarized and analyzed based on CNN, GAN, and UNet. The advantages and disadvantages of existing segmentation methods are also outlined.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
