Article
Computer Science, Artificial Intelligence
Yatong Chang, Wenjian Luo, Xin Lin, Zhen Song, Carlos A. Coello Coello
Summary: This paper proposes the definition of the biparty multiobjective optimal power flow (BPMOOPF) problem and introduces a novel evolutionary biparty multiobjective optimization algorithm (BPMOOPF-EA) to solve the problem. Experimental results show that BPMOOPF-EA outperforms other algorithms in solving the MOOPF problem.
APPLIED SOFT COMPUTING
(2023)
Article
Environmental Sciences
Bin Xu, Yu Sun, Xin Huang, Ping-an Zhong, Feilin Zhu, Jianyun Zhang, Xiaojun Wang, Guoqing Wang, Yufei Ma, Qingwen Lu, Han Wang, Le Guo
Summary: This study proposes a multiobjective robust optimization and decision-making framework to minimize the multiple risks of a cascade hydropower system through robust operation. The framework includes risk analysis, robust control, and decision-making models. The findings suggest that robust optimization can effectively reduce the risk values of ecological water shortfall, consumptive water shortfall, and energy shortfall compared to chance-constrained programming, but it also leads to tradeoffs in energy production efficiency and water usage efficiency.
WATER RESOURCES RESEARCH
(2022)
Article
Engineering, Civil
Ali Reza Ghanizadeh, Afshin Ghanizadeh, Panagiotis G. Asteris, Pouyan Fakharian, Danial Jahed Armaghani
Summary: Estimating the ultimate bearing capacity of a geogrid-reinforced sandy bed on vertical stone columns in soft clay is challenging due to the complex geometry and lack of knowledge about the parameters that affect it. Developing an accurate prediction model can be beneficial in practical applications. This study developed a model using MARS and EBS algorithms, with 219 experimental samples, and found that the undrained shear strength of unreinforced clay is the most essential input parameter for assessing bearing capacity.
TRANSPORTATION GEOTECHNICS
(2023)
Article
Computer Science, Artificial Intelligence
S. C. Maree, T. Alderliesten, P. A. N. Bosman
Summary: This study explores the advantages and disadvantages of hypervolume-based and domination-based multiobjective optimization methods in different scenarios, and proposes a new method, UHV-GOMEA, that can directly solve multiobjective optimization problems using a single-objective optimizer.
EVOLUTIONARY COMPUTATION
(2022)
Article
Public, Environmental & Occupational Health
Piotr Zebrowski, Aitor Couce-Vieira, Alessandro Mancuso
Summary: This article proposes a quantitative framework for assessing the cyberattack risk faced by critical infrastructures and allocating cybersecurity resources efficiently. The framework utilizes a Bayesian network to depict the cybersecurity landscape, constructs a multiobjective optimization model, and employs an algorithm to identify Pareto-optimal portfolios of security measures.
Article
Construction & Building Technology
Faegheh Moazeni, Javad Khazaei
Summary: This study introduces a multiobjective optimization formulation to optimize the demand, leakage, water age, and energy consumption of water distribution systems. The use of the Pareto navigator approach allows for the attainment of the final Pareto optimal solution for water network, leading to significant reductions in leakage, water age, water usage, and energy consumption. Additionally, the design of the energy system based on isolated energy units aims to minimize dependency on fossil-fuel-based power plants, while improving the carbon footprint of water distribution systems and their impact on climate change.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Energy & Fuels
David A. Linan, Luis A. Ricardez-Sandoval
Summary: This work presents the optimal design and operation of catalytic distillation units using discrete and continuous design and operation variables combined with rigorous non-linear dynamic process models. The proposed optimization method, based on the Discrete-Steepest Descent Algorithm (D-SDA), allows for the simultaneous improvement of design and dynamic transitions. The case study on ethyl tert-butyl-ether (ETBE) production demonstrates that a single CD unit can be optimally designed to produce multiple ETBE grades and optimize its dynamic performance.
CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION
(2022)
Article
Materials Science, Multidisciplinary
Narasimha Boddeti, Tien Van Truong, Vincent S. Joseph, Thileepan Stalin, Theo Calais, Shien Yang Lee, Martin L. Dunn, Pablo Valdivia y Alvarado
Summary: Material properties and composite structures are crucial in shaping the performance of soft robots. A novel approach that allows design and direct fabrication of soft composite structures is presented, utilizing computational topology optimization and resilient silicone polymers for precise mechanical property tailoring. This approach has demonstrated significant swimming performance improvements in underwater soft robots, with optimized prototypes showing faster swimming speeds, turning rates, and smaller turning radii compared to un-optimized benchmark prototypes.
ADVANCED MATERIALS TECHNOLOGIES
(2021)
Article
Chemistry, Multidisciplinary
Beatriz C. Silva, Carine Menezes Rebello, Aliirio E. Rodrigues, Ana M. Ribeiro, Alexandre F. P. Ferreira, Idelfonso B. R. Nogueira
Summary: This study proposes a novel strategy for the design of adsorption heat pumps, which involves simultaneous optimization and material screening using the particle swarm optimization (PSO) approach. The proposed framework effectively evaluates different adsorbents and temperature intervals to find the optimal solution in terms of maximum performance and minimum heat supply cost. This approach provides a fast and intuitive evaluation of multiple design and operation variables.
Article
Engineering, Civil
B. K. Pandey, S. Rajesh, S. Chandra
Summary: This study numerically examines the time-dependent behavior of embankment reinforced with encased stone columns in soft clay. The influence of encasement stiffness, column length, and floating columns on the performance of the embankment is investigated, considering factors such as excess pore pressure, settlement, deformation, and stress transfer. It is found that the reinforced embankment performs better than unreinforced embankment or embankment reinforced with non-encased granular columns.
TRANSPORTATION GEOTECHNICS
(2022)
Article
Green & Sustainable Science & Technology
Peijia Qin, Xianlin Tan, Youbin Huang, Mingming Pan, Tiancheng Ouyang
Summary: To improve the power supply reliability of microgrids in remote areas, a multi-energy system is proposed to enhance energy efficiency. However, uncertainties in load fluctuation and renewable energy hinder planning schemes, leading to mismatched scheduling plans and unsustainable economic operation. Therefore, a two-stage robust optimal scheduling framework is introduced, considering uncertainties and economic costs, to align the planning scheme with the actual project. Simulation results show that the BP neural network accurately forecasts load with less than 5% error. Additionally, a split ratio of 0.3 is found to be the optimal choice for recompression supercritical CO2 Brayton cycle, considering thermodynamics and economy. Finally, Case 4, incorporating energy recovery and demand response, is proven to be economically optimal, with significantly lower operating costs and total annual cost compared to the original Case 1.
Article
Chemistry, Multidisciplinary
Athina Grizi, Wisam Al-Ani, Dariusz Wanatowski
Summary: This study used a comprehensive 3D finite element analysis to investigate the influence of design parameters on the settlement behavior of stone columns supporting shallow foundations. The results showed that the model accurately predicted long-term settlement and revealed that the presence of a stiff crust layer significantly affected the deformation mode of the stone columns.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Interdisciplinary Applications
Hakan Ezgi Kiziloz, Ayca Deniz
Summary: In this study, a robust framework for feature selection is built leveraging the multi-core nature of a regular PC. Multiple execution settings are facilitated through the use of two multiobjective selection algorithms, four initial population generation methods, and five machine learning techniques. Extensive experiments on 11 UCI benchmark datasets show remarkable improvement in terms of maximum accuracy.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Thermodynamics
Jan Bohacek, Miroslav Raudensky, Ilya Astrouski, Ebrahim Karimi-Sibaki
Summary: Polymeric hollow-fiber heat exchangers are a viable alternative to metallic plate fin heat exchangers, offering various advantages. By setting up a numerical model and validating with experiments, optimal design parameters were determined to achieve the best performance of the heat exchanger.
Article
Chemistry, Multidisciplinary
Vinicius V. Santana, Marcio A. F. Martins, Jose M. Loureiro, Ana M. Ribeiro, Luana P. Queiroz, Carine M. Rebello, Alirio E. Rodrigues, Idelfonso B. R. Nogueira
Summary: Model-based optimization of SMBRs requires efficient solvers and significant computational power. Despite the applications of artificial neural networks (ANNs) in modeling SMB units, their usage in reactive SMBRs is limited. The evaluation of the representation capability of ANNs is an open issue, and the optimal assessment using surrogate models remains unresolved. The main contributions of this study are the optimization of SMBRs based on deep recurrent neural networks (DRNNs) and the characterization of feasible operation regions using metaheuristic techniques. The results show that DRNN-based optimization can effectively address complex optimization problems while achieving optimality.
Article
Environmental Sciences
Gourabananda Pahar, Anirban Dhar
ENVIRONMENTAL FLUID MECHANICS
(2018)
Article
Engineering, Civil
Madhumita Sahoo, Aman Kasot, Anirban Dhar, Amlanjyoti Kar
WATER RESOURCES MANAGEMENT
(2018)
Article
Green & Sustainable Science & Technology
Satiprasad Sahoo, Indrani Sil, Anirban Dhar, Anupam Debsarkar, Pulakesh Das, Amlanjyoti Kar
JOURNAL OF CLEANER PRODUCTION
(2018)
Article
Environmental Sciences
Selva Balaji Munusamy, Anirban Dhar
ENVIRONMENTAL MODELING & ASSESSMENT
(2019)
Article
Geosciences, Multidisciplinary
Satiprasad Saha, Anirban Dhar, Anupam Debsarkar, Amlanjyoti Kar
NATURAL RESOURCES RESEARCH
(2019)
Article
Environmental Sciences
Komal Kumari, Sheetal Jain, Anirban Dhar
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2019)
Article
Water Resources
Gourabananda Pahar, Anirban Dhar
ADVANCES IN WATER RESOURCES
(2019)
Article
Agricultural Engineering
Satiprasad Sahoo, Anirban Dhar, Anupam Debsarkar, Amlanjyoti Kar, Narayan Kayet
PADDY AND WATER ENVIRONMENT
(2020)
Article
Biodiversity Conservation
Satiprasad Sahoo, Saumava Dey, Anirban Dhar, Anupam Debsarkar, Biswajeet Pradhan
ECOLOGICAL INDICATORS
(2019)
Article
Water Resources
Saumava Dey, Anirban Dhar
ADVANCES IN WATER RESOURCES
(2020)
Article
Engineering, Mechanical
Chitaranjan Dalai, Selva Balaji Munusamy, Anirban Dhar
FLOW MEASUREMENT AND INSTRUMENTATION
(2020)
Article
Engineering, Civil
Sourav Hossain, Gaurav Singh, Anirban Dhar, Koeli Ghoshal
Summary: The present paper formulates a generalized model for non-equilibrium suspended sediment transport through an open channel turbulent flow and provides numerical analysis for the model.
JOURNAL OF HYDROLOGY
(2022)
Article
Engineering, Mechanical
Chitaranjan Dalai, Anirban Dhar
Summary: Density-dependent saltwater flow in coastal aquifers is influenced by tidal and beach slope conditions. This study conducted laboratory-scale experiments to investigate saltwater intrusion under different beach slopes. The results showed that saltwater intrusion occurred more rapidly on flatter beach slopes, while steeper slopes resulted in less intrusion and longer time needed to reach a quasi-steady state.
FLOW MEASUREMENT AND INSTRUMENTATION
(2023)
Article
Engineering, Civil
Sourav Hossain, Sumit Sen, Koeli Ghoshal, Anirban Dhar
Summary: The present paper investigates the problem of two-dimensional unsteady suspended sediment transport through a turbulent flow in an open channel that carries a large amount of sediments. The presence of a large amount of sediments results in density stratification, where distinct horizontal layers with different densities are formed. Additionally, hindered settling occurs as particles settle at a reduced speed due to interactions with neighboring particles. The model developed in this paper takes into account these effects and solves the governing equation, a nonlinear partial differential equation, using the finite difference method. The model has been validated with existing models and experimental data, demonstrating the decrement in sediment concentration due to stratification and the reverse effect for hindered settling.
JOURNAL OF HYDROLOGIC ENGINEERING
(2023)
Article
Water Resources
Tanmoy Das, Anirban Dhar
Summary: This study presents a set of analytical solutions for non-Darcian flow in a leaky confined aquifer system, taking into account leakage from the storage of semipervious layers above and below the main aquifer. The flow in the main aquifer is assumed to be non-Darcian and horizontal, while the flow in the semipervious layers is assumed to be Darcian and vertical. The Izbash equation is used to describe the non-Darcian flow. Six general cases are considered, including different conditions of wellbore storage and adjacent aquifers. Analytical solutions under unsteady and steady-state conditions are obtained in the Laplace domain and then numerically inverted to the actual solution domain using the Talbot method. The obtained analytical solutions clearly quantify the effect of storage.
ADVANCES IN WATER RESOURCES
(2023)
