Editorial Material
Mechanics
J. C. Garcia-Merino, C. Calvo-Jurado, E. Garcia-Macias
Summary: This paper proposes the use of adaptive polynomial chaos expansion for uncertainty propagation analysis in the numerical homogenization of polymer composites. The developed method acts as a surrogate model, saving computational effort. Numerical results and discussion evaluate the accuracy and efficiency of the method for different filler contents. The main contribution is the ability to perform uncertainty propagation analysis with minimum computational effort, which has great potential for stochastic design.
COMPOSITE STRUCTURES
(2022)
Article
Energy & Fuels
Saman Jahanbakhshi
Summary: In this study, polynomial chaos expansion (PCE) and probabilistic collocation method (PCM) are used to investigate the propagation and sensitivity effects of uncertain model parameters on model outputs. The proposed approach shows higher accuracy and lower computational cost compared to the traditional Monte Carlo method.
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING
(2022)
Article
Physics, Multidisciplinary
Haozhi Li, Juan Zhao, Xiaokun Guo, Yu Cheng, Yanmin Xu, Xiaohui Yuan
Summary: In this paper, a sensitivity analysis method based on a Polynomial Chaos Expansion (PCE) surrogate model is proposed for flexoelectric materials. The mathematical expressions of the surrogate model for the flexoelectric materials are established by considering uncertain parameters, and the sensitivity expression is obtained through derivation. The validity and correctness of the proposed algorithm are demonstrated using numerical examples with the finite difference method (FDM).
FRONTIERS IN PHYSICS
(2022)
Article
Engineering, Aerospace
Wei Zhang, Qiang Wang, Fanzhi Zeng, Chao Yan
Summary: Uncertainty is important in aircraft design, and this study proposes a new robust aerodynamic optimization technique called R-Opt. By coupling with Polynomial Chaos Expansion (PCE), R-Opt efficiently quantifies uncertainty in target responses and improves aircraft performance.
CHINESE JOURNAL OF AERONAUTICS
(2022)
Article
Engineering, Mechanical
Liqun Wang, Guolai Yang
Summary: This paper introduces a novel approach for nonintrusive interval uncertainty propagation in multibody systems using Legendre polynomials, addressing issues of wrapping effect and suitability encountered in traditional methods. Mathematical examples and benchmark tests demonstrate the effectiveness of the proposed method in dealing with large, complicated multibody dynamic systems.
NONLINEAR DYNAMICS
(2021)
Article
Environmental Sciences
Mohamad Abed El Rahman Hammoud, H. V. R. Mittal, Olivier Le Maitre, Ibrahim Hoteit, Omar Knio
Summary: To support rapid response efforts for accidental oil spills, it is important to account for uncertainties in the spill nature, properties, and model parameterizations. A variance-based sensitivity analysis is conducted in this work to explore the possibility of restricting the set of uncertain parameters in realistic simulations of oil spills. The analysis indicates that by restricting certain input parameters, variability and confidence intervals of integral quantities characterizing the spill can be reasonably estimated.
FRONTIERS IN MARINE SCIENCE
(2023)
Article
Engineering, Industrial
Mishal Thapa, Samy Missoum
Summary: This paper presents a framework for uncertainty quantification (UQ) and global sensitivity analysis (GSA) of composite wind turbine blades using polynomial chaos expansion (PCE) with l(1)-minimization. The framework is capable of handling a large number of random parameters and can assess the relative importance of these parameters using Sobol Indices. It also allows for arbitrary distributions of random inputs and spatial variations of material and geometric properties. The presented framework is applied to three composite wind turbine blade problems, and results are compared to Monte Carlo simulations.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Computer Science, Interdisciplinary Applications
Shaoyi Cheng, Bisheng Wu, Ming Zhang, Xi Zhang, Yanhui Han, Robert G. Jeffrey
Summary: Hydraulic fracturing is widely used for enhancing conductivity of rock formations and increasing the rate of unconventional resource extraction. Uncertainties in completion operations and geomechanical parameter measurement may lead to large errors in fracture pattern prediction and parameter optimization. This paper presents a non-intrusive stochastic model that combines a hydraulic fracturing model with a surrogate model, allowing for uncertainty quantification. The model is validated against semi-analytical solutions and is used to investigate the impact of randomness in geomechanical and geometric parameters on fracture growth.
COMPUTERS AND GEOTECHNICS
(2023)
Article
Engineering, Multidisciplinary
Jingfei Liu, Chao Jiang
Summary: In this paper, a deep kernel polynomial chaos expansion (DKPCE) is proposed as a surrogate model for high dimensional uncertainty propagation. The novel network model connects deep neural network (DNN) and polynomial chaos expansion (PCE), allowing control of the PCE layer's input dimensionality by restricting the number of neurons in the feature layer. The back-propagation algorithm is employed for computing all the parameters of DKPCE, enabling dimension reduction and modeling process simultaneously. A data-driven method is implemented during the modeling process to compute the orthogonal polynomial bases within the PCE layer.
APPLIED MATHEMATICAL MODELLING
(2023)
Article
Energy & Fuels
Sinan Xiao, Timothy Praditia, Sergey Oladyshkin, Wolfgang Nowak
Summary: Global sensitivity analysis is conducted to identify the impact of uncertain parameters on the outputs of a thermochemical energy storage model, aiming to better understand predictive uncertainties and streamline uncertainty quantification efforts.
Article
Green & Sustainable Science & Technology
Yao Pei, Yann Le Bihan, Mohamed Bensetti, Lionel Pichon
Summary: By comparing different coupling coils in terms of mutual inductance and sources of uncertainty, it was found that circular coupling coils are recommended for SIPT systems.
Article
Engineering, Industrial
Gian Marco Melito, Thomas Stephan Mueller, Vahid Badeli, Katrin Ellermann, Gunter Brenn, Alice Reinbacher-Koestinger
Summary: Impedance cardiography is a non-invasive methodology for measuring cardiodynamic parameters. The conductivity of blood depends on various parameters and incorrect assumptions may lead to inaccurate results. A global sensitivity analysis in this study shows the impact of valid fluid mechanical assumptions on the accuracy of the model.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Mechanical
M. H. Ping, X. Han, C. Jiang, X. Y. Xiao
Summary: This paper presents a method for time-variant uncertainty propagation analysis, combining extended orthogonal series expansion method and sparse grid numerical integration, which effectively solves the output stochastic process of a time-variant function. By modeling the orthogonal time functions and correlated coefficients of the stochastic process and reducing dimensionality, an explicit expression for the non-Gaussian process can be obtained.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Computer Science, Interdisciplinary Applications
Boqun Xie, Chao Jiang, Zhe Zhang, Jing Zheng, Jinwu Li
Summary: In this paper, an uncertainty propagation method is proposed for multimodal distributions using a unimodal decomposition strategy. It avoids the need to compute higher-order statistical moments by constructing a set of unimodal elements based on decomposed multimodal random variables. The effectiveness of the proposed method is validated through three examples.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2023)
Article
Engineering, Mechanical
Jing Qian, You Dong
Summary: Sparse polynomial chaos expansion is a powerful tool for efficient uncertainty quantification and sensitivity analysis in emulating the stochastic model output. An algorithm for efficient computation of sparse PCE is proposed in this study, which integrates acceleration techniques to improve computational efficiency and predictive performance.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Environmental Sciences
Yun Yang, Jian Song, Craig T. Simmons, Behzad Ataie-Ashtiani, Jianfeng Wu, Jinguo Wang, Jichun Wu
Summary: This study proposes a multi-objective decision-making framework in CAM, combining simulation-optimization modeling and cost-benefit analysis to address the issue of seawater intrusion.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Engineering, Civil
Xin Dai, Yueqing Xie, Craig T. Simmons, Steve Berg, Yanhui Dong, Jie Yang, Andrew J. Love, Chuan Wang, Jichun Wu
Summary: The study utilized a fully-coupled surface-subsurface hydrologic modeling approach to simulate transient topography-driven groundwater flow and surface-water flow. Results indicated that wetter climate and smaller hydraulic conductivity could result in increased land inundation, stronger hierarchical nesting of groundwater flow systems, and more variable exchange fluxes.
JOURNAL OF HYDROLOGY
(2021)
Article
Environmental Sciences
Camille Bouchez, Peter G. Cook, Daniel Partington, Craig T. Simmons
Summary: The study compares surface water-groundwater exchange fluxes calculated by different methods, revealing differences in directions and magnitudes. River abstractions and irrigation patterns directly impact the estimated fluxes.
WATER RESOURCES RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
Roza Asadi, Behzad Ataie-Ashtiani
Summary: This study utilized advanced finite volume schemes to model the coupled fluid-solid system, considering various parameters and testing the performance of hydro-mechanical models through different cases. While both MPFA O-FEM and DDFV-FEM methods showed good agreement with analytical solutions in homogeneous porous media, the DDFV-FEM demonstrated higher accuracy in situations with high heterogeneity.
COMPUTERS AND GEOTECHNICS
(2021)
Article
Ecology
Mohsen Emadi-Tafti, Behzad Ataie-Ashtiani, Seiyed Mossa Hosseini
Summary: This study utilized an integrated 2D numerical model to examine the mechanical effects of vegetation and soil type on slope stability. The results showed that vegetation can prevent shallow landslides but has limited impact on deep landslides. The ratio of root zone depth to the depth of slide is a key parameter in enhancing slope stability through vegetation.
ECOLOGICAL MODELLING
(2021)
Article
Geosciences, Multidisciplinary
James L. McCallum, Saskia L. Noorduijn, Craig T. Simmons
Summary: Accurate representation of groundwater flow and solute transport requires a sound representation of aquifer geometry, with faults having a significant influence on aquifer structure and connectivity. Representing fault features remains challenging for groundwater flow models, but utilizing non-neighbor connections in unstructured grids can help in including faults effectively.
Article
Engineering, Civil
Mingjie Chen, Ali Al-Maktoumi, Mohammad Mahdi Rajabi, Azizallah Izady, Hilal Al-Mamari, Jianchao Cai
Summary: In the past decade, feasibility of using CO2 as a working fluid for harvesting geothermal energy has been studied and demonstrated in North Oman. Depleting petroleum reservoirs in the area serve as excellent candidates for CO2 geological storage and geothermal reservoirs. The study provides quantitative guidance on site selection and geothermal field development in the region.
JOURNAL OF HYDROLOGY
(2021)
Article
Water Resources
Esmaeel Parizi, Seiyed Mossa Hosseini, Behzad Ataie-Ashtiani, Zahir Nikraftar
Summary: This study investigated the hydraulic interactions between Lake Urmia (LU) and the aquifers, providing a method to quantify this interaction. The results showed that the groundwater flux controls a significant portion of the lake's water storage. Understanding the hydraulic interaction between LU and the aquifers is crucial for sustainable management.
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
(2022)
Article
Thermodynamics
Mohammad Mahdi Rajabi, Mohammad Reza Hajizadeh Javaran, Amadou-oury Bah, Gabriel Frey, Florence Le Ber, Francois Lehmann, Marwan Fahs
Summary: This study investigates the performance of encoder-decoder convolutional neural networks (ED-CNNs) in assisting the numerical modeling of natural convection in porous media. The ED-CNNs are applied to image-to-image regression tasks to evaluate their robustness in meta modeling and uncertainty propagation analysis, as well as their performance as an optimizer in input parameter estimation. Experimental results demonstrate the robustness and efficiency of the ED-CNNs in handling heterogeneous domains.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2022)
Article
Meteorology & Atmospheric Sciences
James T. Kirby, Stephan T. Grilli, Juan Horrillo, Philip L-F Liu, Dmitry Nicolsky, Stephane Abadie, Behzad Ataie-Ashtiani, Manuel J. Castro, Lucie Clous, Cipriano Escalante, Isaac Fine, Jose Manuel Gonzalez-Vida, Finn Lovholt, Patrick Lynett, Gangfeng Ma, Jorge Macias, Sergio Ortega, Fengyan Shi, Saeedeh Yavari-Ramshe, Cheng Zhang
Summary: The Mapping and Modeling Subcommittee of the US National Tsunami Hazard Mitigation Program held a workshop in January 2017 to evaluate numerical models for simulating tsunamis caused by submarine or subaerial landslides. Benchmark tests were conducted, showing the importance of including frequency dispersion in model formulations to obtain accurate results.
Article
Environmental Sciences
Arezou Dodangeh, Mohammad Mahdi Rajabi, Jesus Carrera, Marwan Fahs
Summary: Coastal aquifers, which are vital water sources for over one billion people, face the challenges of seawater intrusion and anthropogenic contamination. Identification and localization of contaminant source characteristics are needed to reduce contamination. However, most existing studies have focused on inland aquifers and have not addressed the complexities of coastal settings. This study presents an efficient methodology for identifying contaminant source characteristics and aquifer hydraulic conductivity in coastal aquifers. It uses numerical modeling and artificial neural network metamodels in the CRD-EnKF algorithm. The study successfully applies this approach to the complex setting of coastal aquifers and analyzes common issues in contaminant source identification monitoring.
JOURNAL OF CONTAMINANT HYDROLOGY
(2022)
Article
Engineering, Civil
Bahador Zarei, Esmaeel Parizi, Seiyed Mossa Hosseini, Behzad Ataie-Ashtiani
Summary: This study developed a groundwater sustainable management index that includes components of environmental, social, economic, and institutional responsibility. Four significant indicators were adopted and executed to evaluate 443 of Iran's aquifers. The results showed that 32% of Iran's aquifers have poor-very poor groundwater sustainable management, and the index is more sensitive to economic and social indicators. Additionally, there was an inverse correlation between the groundwater sustainable management index values and the coefficient of variation of the normalized difference vegetation index.
WATER INTERNATIONAL
(2022)
Article
Environmental Sciences
Francois Lehmann, Mohammad Mahdi Rajabi, Benjamin Belfort, Frederick Delay, Marwan Fahs, Philippe Ackerer, Anis Younes
Summary: This study proposes a novel experimental setup for reconstructing multiple fracture limestone media using glass beads and parallelepiped-shaped limestone beams. Three models of transport through fractured media are investigated under different flow conditions, and the results show that only the NLMIM model is able to accurately capture the experimental results.
JOURNAL OF CONTAMINANT HYDROLOGY
(2022)
Article
Engineering, Civil
Aref Panjehfouladgaran, Mohammad Mahdi Rajabi
Summary: This study addresses the challenge of contaminant source characterization in complex transient velocity fields, specifically in coastal aquifers. The proposed methodology combines a numerical model of density-dependent flow and multiple-species solute transport, artificial neural networks, and a customized Kalman filtering technique. It provides an effective way to estimate the location and strength of contaminant sources.
JOURNAL OF HYDROLOGY
(2022)
Article
Engineering, Civil
Mohammad Mahdi Rajabi, Mingjie Chen, Mohammad Reza Hajizadeh Javaran, Ali Al-Maktoumi, Azizallah Izady, Yanhui Dong
Summary: This study develops a simulation-optimization algorithm that considers both the sequestration and circulation stages of a CO2 plume geothermal system in choosing optimal well location and operations. By minimizing the probability of negative net present value and considering economic factors, the study provides insights into the profitability and risk of non-profitability of the proposed system.
JOURNAL OF HYDROLOGY
(2022)
Article
Thermodynamics
Mahsa Taghavi, Swapnil Sharma, Vemuri Balakotaiah
Summary: This study investigates the natural convection effects in the insulation layers of spherical storage tanks and their impact on the tanks' performance. The permeability and Rayleigh number of the insulation material are considered as key factors. The results show that as the Rayleigh number increases, new convective cells emerge and cause the cold boundary to approach the external hot boundary. In the case of large temperature differences, multiple solutions may coexist.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2024)
Article
Thermodynamics
Jinyang Xu, Fangjun Hong, Chaoyang Zhang
Summary: This study introduces a self-induced jet impingement device for enhancing pool boiling performance in high power electronic cooling. Through visualization and parametric investigations, the effects of this device on pool boiling performance are studied, revealing the promotion of additional liquid supply and vapor exhausting. The flow rate of the liquid jet is found to positively impact boiling performance.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2024)
Article
Thermodynamics
Wenchao Ke, Yuan Liu, Fissha Biruke Teshome, Zhi Zeng
Summary: Underwater wet laser welding (UWLW) is a promising and labor-saving repair technique. A thermal multi-phase flow model was developed to study the heat transfer, fluid dynamics, and phase transitions during UWLW. The results show that UWLW creates a water keyhole, making the welding environment similar to in air laser welding.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2024)
Article
Thermodynamics
Xingrong Lian, Lin Tian, Zengyao Li, Xinpeng Zhao
Summary: This study investigates the heat transfer mechanisms in natural fiber-derived porous structures and finds that thermal radiation has a significant impact on the thermal conductivity in low-density regions, while natural convection rarely occurs. Insulation materials derived from micron-sized natural fibers can achieve minimum thermal conductivity at specific densities. Strategies to lower the thermal conductivity include increasing porosity and incorporating nanoscale pores using nanosize fibers.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2024)
Article
Thermodynamics
Yasir A. Malik, Kilian Koebschall, Stephan Bansmer, Cameron Tropea, Jeanette Hussong, Philippe Villedieu
Summary: Ice crystal icing is a significant hazard in aviation, and accurate modeling of sticking efficiency is essential. In this study, icing wind tunnel experiments were conducted to quantify the volumetric liquid water fraction, sticking efficiency, and maximum thickness of ice layers. Two measurement techniques, calorimetry and capacitive measurements, were used to measure the liquid water content and distribution in the ice layers. The experiments showed that increasing wet bulb temperatures and substrate heat flux significantly increased sticking efficiency and maximum ice layer thickness.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2024)
Article
Thermodynamics
Jinqi Hu, Tongtong Geng, Kun Wang, Yuanhong Fan, Chunhua Min, Hsien Chin Su
Summary: This study experimentally examined the heat dissipation of vibrating fans and demonstrated its inherent mechanism through numerical simulation. The results showed that the flow fields induced by the vibrating blades exhibited pulsating features and formed large-scale and small-scale vortical structures, significantly improving heat dissipation. The study also identified the impacts of different blade structures and developed a trapezoidal-folding blade, which effectively reduced the maximum temperature of the heat source and alleviated high-temperature failure crisis.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2024)
Article
Thermodynamics
Dan-Dan Su, Xiao-Bin Li, Hong-Na Zhang, Feng-Chen Li
Summary: The boiling heat transfer of low-boiling-point working fluid is a common heat dissipation technology in electronic equipment cooling. This study analyzed the interfacial boiling behavior of R134a under different conditions and found that factors such as the initial thickness of the liquid film, solid-liquid interaction force, and initial temperature significantly affect the boiling mode and thermal resistance.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2024)
Article
Thermodynamics
Jinyi Wu, Dongke Sun, Wei Chen, Zhenhua Chai
Summary: A unified lattice Boltzmann-phase field scheme is proposed to simulate dendrite growth of binary alloys in the presence of melt convection. The effects of various factors on the growth are investigated numerically, and the model is validated through comparisons and examinations.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2024)
Article
Thermodynamics
Shaokun Ge, Ya Ni, Fubao Zhou, Wangzhaonan Shen, Jia Li, Fengqi Guo, Bobo Shi
Summary: This study investigated the temperature distribution of main cables in a suspension bridge during fire scenarios and proposed a prediction model for the maximum temperature of cables in different lane fires. The results showed that vehicle fires in the emergency lane posed a greater thermal threat to the cables.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2024)
Article
Thermodynamics
Shuang-Ying Wu, Shi-Yao Zhou, Lan Xiao, Jia Luo
Summary: This paper investigates the two-phase flow and heat transfer characteristics of low-velocity jet impacting on a cylindrical surface. The study reveals that the heat transfer regimes are non-phase transition and nucleate boiling with the increase of heat transfer rate. The effects of jet impact height and outlet velocity on local surface temperatures are pronounced at the non-phase transition stage. The growth rates of heat transfer rate and liquid loss rate increase significantly from the non-phase transition to nucleate boiling stage.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2024)
Article
Thermodynamics
Emad Hasani Malekshah, Wlodzimierz Wlodzimierz, Miros law Majkut
Summary: Cavitation has significant practical importance and can be controlled by air injection. This study investigates the natural to ventilated cavitation process around a hydrofoil through numerical and experimental methods. The results show that the location and rate of air injection have a meaningful impact on the characteristics of cavitation.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2024)
Article
Thermodynamics
Feriel Yahiat, Pascale Bouvier, Antoine Beauvillier, Serge Russeil, Christophe Andre, Daniel Bougeard
Summary: This study explores the enhancement of mixing performance in laminar flow equipment by investigating the generation of chaotic advection using wall deformations in annular geometries. The findings demonstrate that the combined geometry can achieve perfect mixing at various Reynolds numbers.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2024)
Article
Thermodynamics
Hui He, Ning Lyu, Caihua Liang, Feng Wang, Xiaosong Zhang
Summary: This study investigates the condensation, frosting, and defrosting processes on superhydrophobic surfaces with millimeter-scale structures. The results reveal that the structures can influence the growth and removal of frost crystals, with the bottom grooves creating a frost-free zone and conical edges promoting higher frost crystal heights. Two effective methods for defrosting are observed: hand-lifting the groove and airfoil retraction contraction on protruding structures. This research provides valuable insights into frost formation and defrosting on millimeter-structured superhydrophobic surfaces, with potential applications in anti-frost engineering.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2024)
Article
Thermodynamics
Thiwanka Arepolage, Christophe Verdy, Thibaut Sylvestre, Aymeric Leray, Sebastien Euphrasie
Summary: This study developed two thermal concentrators, one with a 2D design of uniform thickness and another with a 3D design, using the coordinate transformation technique and metamaterials. By structuring the thermal conductor, the desired local density-heat capacity product and anisotropic thermal conductivities were achieved. The homogenized thermal conductivities were obtained from finite element simulations and cylindrical symmetry consideration. A 3D concentrator was fabricated using 3D metal printing and characterized using a thermal camera. Compared to devices that solely consider anisotropic conductivities, the time evolution characteristics of the metadevice designed with coordinate transformation were closer to those of an ideal concentrator.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2024)
Article
Thermodynamics
Liangyuan Cheng, Qingyang Wang, Jinliang Xu
Summary: In this study, we investigated the supercritical heat transfer of CO2 in a horizontal tube with a diameter of 10.0 mm, covering a wide range of pressures, mass fluxes, and heat fluxes. The study revealed a non-monotonic increase in wall temperatures along the flow direction and observed both positive and negative wall temperature differences between the bottom and top tube. The findings were explained by the thermal conduction in the solid wall interacting with the stratified-wavy flow in the tube.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2024)