Abstract
Onshore facilities in the oil and gas industry are high risk structures because of their exposure to hazardous and flammable hydrocarbon materials, which can lead to fire and explosion accidents. Deoxygenation towers, typically made from steel plates with strengthening rings, are one of the common onshore facilities. In the literature, evaluations of onshore facilities subjected to fire or explosion actions were mainly on storage tanks with large diameters but shorte heights, while little research was conducted for deoxygenation towers. Therefore, this paper investigates the response of the deoxygenation tower subjected to blast loadings. Prototype towers with four different heights commonly used in onshore facilities in China were selected. Nonlinear finite element models were developed for the prototype towers with rate-dependent plasticity materials. Implicit dynamic analyses were performed with the input of blast loading. The blast loading was applied as a pressure wave on the tower surface which changes with location and time. The tower structural responses were evaluated in terms of roof drift, base shear, and plastic strain. By comparing the maximum demands with the code limits, it can be concluded that in general, the tower structures can withstand the pressure from explosion accidents with considerable damage, particularly local buckling of the steel plate.
Abstract
This study investigates the effectiveness of the Cheetah Optimizer for optimizing heat exchanger designs, specifically for shell and tube and plate fin heat exchangers. The optimizer's performance was validated through comparisons with established metaheuristic methods, ensuring robust results. In the case of shell and tube heat exchangers, the Cheetah Optimizer achieved a 3% reduction in overall costs compared to Particle Swarm Optimization (PSO). While the Cheetah Optimizer did not outperform α-EHO and Gravitational Search Algorithm (GSA) in the first case study, it surpassed both in the second case. For plate fin heat exchangers, the Cheetah Optimizer demonstrated superior performance over the Imperialist Competitive Algorithm and Teaching Learning-Based Optimization. These findings confirm the Cheetah Optimizer as a viable and competitive alternative for heat exchanger design optimization, particularly in certain scenarios.
Key Words
cheetah optimizer; computational geometry; design optimization; heat exchanger
Address
Makadia Jiten Jayantilal and Maniar Nirav Pravinchandra: Mechanical Engineering Department, VVP Engineering College, Rajkot, Gujarat, India
Abstract
This research presents a new mathematical framework for the optimal design of elliptical isolated footings under vertical load and two orthogonal moments. The suggested method considers the spatial variation of contact pressure between the footing and the supporting soil, facilitating an accurate representation of structural requirements. New formulations for bending moment, unidirectional shear, and punching shear are generated using volume integration, accurately representing the complex stress distribution beneath elliptical foundations. Lagrange multipliers are utilized to identify the crucial points of maximum and minimum contact stresses for elliptical and circular footing shapes. A thorough numerical analysis illustrates the benefits of the suggested strategy by contrasting its results with those of a conventional design methodology. The findings demonstrate that the newly created model produces more cost-effective designs while maintaining structural integrity and performance, underscoring its potential as a significant asset in engineering practice. A MATLAB code for design using new formulas is programmed and results obtained compared to those from literature and were more efficient and economic.
Key Words
contact pressure; circular footing; elliptical footing; optimum design
Address
Mohamed Elhanash, Ahmed K. Elsherif and AlHaytham Aref: Department of Mathematics, Military Technical College, Cairo, Egypt
Nabil M. Nagy: Department of Civil Engineering, Military Technical College, Cairo, Egypt
Abstract
This paper presents a study on optimizing the size and geometry of 3D frames using an improved meta-heuristic algorithm. 3D frames are integral parts of various engineering designs and require efficient optimization techniques to improve their performance and minimize material consumption. The proposed meta-heuristic algorithm builds on existing methods and incorporates novel improvements to increase search efficiency and solution quality. Through rigorous testing on benchmark problems, the algorithm demonstrates superior performance in achieving optimal design solutions that ensure structural integrity while reducing overall weight and cost. The results exhibit the potential of the improved algorithm to advance the field of structural optimization.
Key Words
optimization; genetic algorithm; meta-heuristic algorithm; particle perturbation algorithm; special bending frame
Address
Behzad Rahimi, Seyed Arash Mousavi Ghasemi, Reza Goli Ejlali and Adel Ferdous: Department of Civil Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran
Abstract
This research explores the application of computational continuum modeling to analyze both the dynamic and static stability of cantilever nano-scale systems. As nano-scale systems become increasingly prevalent in various engineering and technological applications, understanding their stability under different conditions is critical. The study employs advanced computational techniques to simulate the behavior of cantilever structures at the nano-scale, focusing on the effects of material properties, geometric configurations, and external forces. Through a series of numerical experiments, the research identifies key factors influencing stability, providing insights into the thresholds of dynamic and static responses. The findings highlight the importance of precise modeling in predicting failure modes and optimizing design parameters for enhanced stability. Ultimately, this work contributes to the broader field of nano-engineering by offering a robust framework for evaluating the performance of cantilever systems, paving the way for future innovations in nano-technology and materials science.
Key Words
coupled systematic criterion; evolved control systems; nanocomposite; nonlocal elasticity; size-dependent properties; stability; time delays
Address
C.C. Hung: School of Big Data, Fuzhou University of International Studies and Trade, No. 28, Yuhuan Road, Shouzhan New District, Changle District, Fuzhou City, Fujian Province, PR China
T. Nguyễn: Ha Tinh University, Dai Nai Ward, Ha Tinh City, Vietnam
Huang Huandi: School of Business, Macau University of Science and Technology, Macau
C.Y. Hsieh: National Pingtung University Education School, No.4-18, Minsheng Rd., Pingtung City, Pingtung County 900391, Taiwan
