Article
Computer Science, Interdisciplinary Applications
Xiongming Lai, Ju Huang, Yong Zhang, Cheng Wang, Xiaodong Zhang
Summary: This paper presents a general methodology for reliability-based robust design optimization, addressing the computational complexity and lengthy computation time in complex engineering structures. Through improved formulation and approximate suboptimization sequence, the approach converts original probabilistic constraints into deterministic functions and ensures convergence to the original problem. The effectiveness and efficiency of the proposed methods are demonstrated through a test problem and three applications.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
W. Y. Tian, W. T. Sun, B. Y. Ni, J. W. Li, Z. T. Wu
Summary: An interval robust optimization method was proposed to improve the robustness and performance of the process or product in design. The method utilizes a nonlinear interval number programming approach to solve uncertain optimization problems, and has been successfully applied to heat transfer problems for performance optimization while ensuring robustness of the optimal design.
ENGINEERING OPTIMIZATION
(2021)
Article
Chemistry, Multidisciplinary
Chang Yong Song
Summary: This study presents an enhanced robust design optimization method for the seat belt anchorage strength design problem, incorporating probabilistic design to address uncertainties. By minimizing weight and meeting strength performance constraints, the optimum design was determined through reliability analyses. The most reliable structural safety was achieved using adaptive importance sampling method for reliability evaluations.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Electrical & Electronic
Jaegyeong Mun, K. K. Choi, Dong-Hun Kim
Summary: In the presence of design parameter uncertainties, a system-level robust design optimization method is proposed for a permanent magnet motor to enhance the dynamic and steady performances of the motor drive system. The influence of individual motor parameters on transient system responses is investigated through Taguchi experimental planning. The temperature-dependent material property of each motor component is examined, and the motor drive system is then optimized using the univariate dimension reduction method to ensure robustness against manufacturing tolerance and operating temperature fluctuation.
IEEE TRANSACTIONS ON MAGNETICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Zhou Yang, Unsong Pak, Yu Yan, Cholu Kwon
Summary: RBROD was conducted on a drum brake to reduce the influence of random parameters uncertainty on safety performance of vehicles, with a mathematical model established and results showing that the drum brake met reliability, robustness, and optimization design requirements. The adaptive Kriging method demonstrated the highest calculation accuracy and efficiency among the four meta-model methods used.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2022)
Article
Engineering, Industrial
Jinpei Wang, Xuejie Bai, Yankui Liu
Summary: Hazardous materials transportation poses great risks due to their inflammable, explosive, and corrosive properties. In order to address the challenges of the hierarchical relationship and ambiguous accident probability, we propose a bilevel optimization method and construct uncertainty sets. Our robust model improves transportation safety and can be transformed into a computationally tractable linear programming model. We apply the model to a real transport case and compare it with traditional optimization methods.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Environmental Sciences
Moritz Feigl, Stephan Thober, Robert Schweppe, Mathew Herrnegger, Luis Samaniego, Karsten Schulz
Summary: Parameter estimation is a challenging task in large-scale distributed modeling. This study presents the first large-scale application of automatic parameter transfer function (TF) estimation for a complex hydrological model. By relating model parameters to catchment/landscape characteristics, it reduces the number of parameters and enables the transfer of hydrological model parameters in time and space. The results show that using automatic TF estimation can achieve high performance in ungauged basins.
WATER RESOURCES RESEARCH
(2022)
Review
Mathematical & Computational Biology
Xiaoke Li, Qingyu Yang, Yang Wang, Xinyu Han, Yang Cao, Lei Fan, Jun Ma
Summary: Reliability-based design optimization (RBDO) involves handling uncertainties in engineering through surrogate models to reduce computational burden. This paper reviews commonly used surrogate modeling methods and discusses surrogate-assisted RBDO methods, including a comparison of existing methods, sample selection, and accuracy evaluation. Furthermore, global and local modeling methods are classified and compared using a two-dimensional RBDO numerical example, highlighting the advantages and disadvantages of each approach. Lastly, the paper provides a summary and future outlook on surrogate-assisted RBDO methods.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2021)
Article
Mathematics
Luca Martino, Fernando Llorente, Ernesto Curbelo, Javier Lopez-Santiago, Joaquin Miguez
Summary: A novel adaptive importance sampling scheme is proposed for Bayesian inversion problems, where variables of interest and data noise power are inferred using different methods. The technique involves iterative steps of sampling and optimization, with the noise power acting as a tempered parameter for the posterior distribution of the variables of interest. Numerical experiments show the benefits of the proposed approach in Bayesian analysis.
Article
Engineering, Multidisciplinary
Jiachang Tang, Chunming Fu, Chengji Mi, Haibo Liu
Summary: This paper proposes a method called Interval Sequential Linear Programming (ISLP) to solve nonlinear robust optimization problems. The method transforms the uncertain optimization problem into a series of possibility-sensitivity analyses and deterministic linear optimization problems, and includes an iterative mechanism to improve convergence rate.
APPLIED MATHEMATICAL MODELLING
(2022)
Article
Engineering, Mechanical
H. A. Jensen, D. J. Jerez, M. Beer
Summary: This paper focuses on general structural optimization problems with discrete-continuous design variables, using a Bayesian model updating approach to efficiently handle constraints and sensitivity analysis. Numerical examples demonstrate the effectiveness and potential of the method in reliability-based design optimization under stochastic excitation.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Computer Science, Theory & Methods
Adam Kasperski, Pawel Zielinski
Summary: This paper discusses a class of uncertain optimization problems, where unknown parameters are modeled by fuzzy intervals. Known concepts of robustness and light robustness for traditional interval uncertainty representation can be generalized to optimize solutions against plausible parameter realizations under this possibilistic setting. Solutions can be efficiently computed for linear programming problems with fuzzy parameters, making them not much computationally harder than their deterministic counterparts.
FUZZY SETS AND SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Jorge Alejandro May Alvarez, Ignacio Galiano Zurbriggen, Francisco Paz, Martin Ordonez
Summary: Microgrids with renewable generation and energy storage are an attractive solution for powering critical loads due to their high reliability. This paper introduces a new Vectorial Microgrid Optimization (VMO) design method that incorporates the selection of power conversion architecture and energy source sizing into a unified design strategy, using multi-objective optimization to balance power supply availability, cost, and efficiency.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Nanoscience & Nanotechnology
Lorenzo Beretta, Silvia Bonfanti, Jacopo Fiocchi, Francesc Font-Clos, Roberto Guerra, Ausonio Tuissi, Stefano Zapperi
Summary: Automatic design of mechanical metamaterials can achieve higher efficiency than human-designed solutions, leading to a multitude of possible functional solutions.
Article
Mathematics
Sahbi Boubaker, Noha Hamdy Radwan, Moatamad Refaat Hassan, Faisal S. Alsubaei, Ahmed Younes, Hameda A. Sennary
Summary: This study addresses the robust design problem for multi-source multi-sink stochastic-flow networks (MMSFNs) using a two-step approach. It formulates the problem as an optimization problem and proposes a sub-optimal solution based on a genetic algorithm (GA) involving two components. Extensive experimentation on different networks shows that the proposed solution is efficient.
Article
Energy & Fuels
Selcuk Erol, Virginie Harcouet-Menou, Ben Laenen, Peter Bayer
Summary: The major challenges of deep geothermal systems include drilling costs, induced seismicity, scaling and corrosion, emissions, and assessment of the inherent uncertainty associated with the reservoir properties. This study focuses on investigating the concept of using a single drill hole for thermal energy provision in detail, particularly in reservoirs with low natural permeability.
Article
Energy & Fuels
Selcuk Erol, Peter Bayer, Taylan Akin, Serhat Akin
Summary: The interpretation of tracer tests in geothermal reservoirs is often carried out using simplified analytical solutions or complex numerical models. This study presents an advanced workflow that combines a 3D analytical model with Monte-Carlo simulations and a 3D numerical model to evaluate tracer test data in large-scale reservoirs. The results demonstrate the robustness of the workflow in estimating effective parameters in complex reservoir systems with anisotropic flow paths.
Review
Environmental Sciences
Julia Becher, Constanze Englisch, Christian Griebler, Peter Bayer
Summary: Understanding the impact of urban pollution on groundwater fauna is crucial, but current knowledge is limited due to various interfering factors and the need for standardized and long-term testing.
JOURNAL OF CONTAMINANT HYDROLOGY
(2022)
Review
Environmental Sciences
Maximilian Noethen, Hannes Hemmerle, Peter Bayer
Summary: Anthropogenic warming of the atmosphere is a pressing challenge in the 21st century, but knowledge on subsurface warming is lacking. This review proposes a classification based on heat source geometry, scale, process, and intention of heat release. It explores the intensities of subsurface warming, heat flux density, and implications for processes and ecosystems, as well as the potential of recycling waste heat with geothermal installations.
CRITICAL REVIEWS IN ENVIRONMENTAL SCIENCE AND TECHNOLOGY
(2023)
Article
Environmental Sciences
Hannes Hemmerle, Grant Ferguson, Philipp Blum, Peter Bayer
Summary: Meeting the rising energy demands of cities is a global challenge. Recent research reveals the long-term increase of temperatures in the groundwater beneath Cologne, Germany and finds that the geothermal resources in urban areas are largely underused.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Environmental Sciences
Cecile Coulon, Jean-Michel Lemieux, Alexandre Pryet, Peter Bayer, Nathan L. Young, John Molson
Summary: This study presents a methodology for pumping optimization under uncertainty for island freshwater lenses using a sharp-interface model and demonstrates its application in a real case. Pumping optimization was conducted considering parameter and observation uncertainty, with a focus on avoiding well salinization due to upconing.
WATER RESOURCES RESEARCH
(2022)
Article
Multidisciplinary Sciences
Susanne A. Benz, Kathrin Menberg, Peter Bayer, Barret L. Kurylyk
Summary: Despite the global interest in green energy alternatives, little attention has been paid to the feasibility of recycling the ground heat accumulated due to urbanization, industrialization, and climate change. This study shows the theoretical potential of this heat on a multi-continental scale and highlights the importance of considering subsurface heat recycling in the move to a low-carbon economy in a warmer world.
NATURE COMMUNICATIONS
(2022)
Article
Thermodynamics
Christoph Bott, Mathias Ehrenwirth, Christoph Trinkl, Peter Bayer
Summary: This study employs a flexible, component-based model called STORE to investigate design scenarios and evaluate the performance and impacts of seasonal thermal energy storage. The results show that different designs have different performances, and the optimal design should focus on external cover and top insulation. The capability of STORE to rapidly analyze various scenarios proves its high applicability in optimizing the planning processes of seasonal thermal energy storage projects.
APPLIED THERMAL ENGINEERING
(2022)
Editorial Material
Environmental Sciences
Peter Bayer, Philipp Blum
Article
Green & Sustainable Science & Technology
Tiansheng Zhang, Chun Liu, Peter Bayer, Liwei Zhang, Xulong Gong, Kai Gu, Bin Shi
Summary: This study measured the shallow temperatures down to a depth of 100 m in 19 closed boreholes in Nanjing, China, for one year, aiming to understand the subsurface thermal regime and its influencing factors. The results showed that surface temperatures were most dynamic and influenced by air temperature, while temperatures remained stable at depths of 10-20 m. Geological and hydrological conditions played a primary role in affecting subsurface heat flux and loss, with urban land cover change and enhanced heat release from urbanization contributing to a subsurface urban heat island. The monitoring concept used in this study can provide continuous profiles of subsurface temperature and serve as a reference for city-wide geothermal monitoring in other urban areas.
Article
Water Resources
Lukas Roemhild, Gianluca Fiandaca, Linwei Hu, Laura Meyer, Peter Bayer
Summary: This study presents a new inversion procedure that allows for the direct computation of hydraulic conductivity (K) in an aquifer using induced polarization (IP) data. The novel approach was successfully implemented and showed a similar quality compared to hydraulic tomography. The results highlight the accuracy of the inversion and the significance of the proposed calibration strategies.
ADVANCES IN WATER RESOURCES
(2022)
Article
Engineering, Environmental
Bo Zhang, Kai Gu, Peter Bayer, Fulin Xiang, Zhuang Wei, Baojun Wang, Bin Shi
Summary: This study aims to develop a convenient method to investigate vertical water flow in slopes on the sub-meter scale. The method is successfully validated in a laboratory tank with a series of experiments and has the ability to estimate flow rates greater than 1.0 x 10(-6) m.s(-1) and identify the influence of moving water on thermal profiles even at a flow rate of 1.0 x 10(-7) m.s(-1).
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2023)
Article
Environmental Sciences
Bo Zhang, Kai Gu, Peter Bayer, Haibo Qi, Bin Shi, Baojun Wang, Yuehua Jiang, Quanping Zhou
Summary: The thermal response test (TRT) establishes a relationship between groundwater flow rate and temperature response curve. To minimize the borehole effects in the test, practical solutions for in situ heating and temperature sensing are needed. Numerical models were used to study the effect of grout and jacket on the simulated thermal response, and these findings were applied to develop groundwater flow rate estimation procedures. The developed approach was successfully applied in a case study, validating its applicability in the field.
WATER RESOURCES RESEARCH
(2023)
Article
Geosciences, Multidisciplinary
Lisa Maria Ringel, Mohammadreza Jalali, Peter Bayer
Summary: In this study, the authors used a stochastic inversion method to infer the structural and hydraulic properties of a highly fractured zone at the Grimsel Test Site in Switzerland. The results revealed the presence of two preferential flow paths, with an increased probability of fractures linking the paths as the distance to the second injection borehole decreased.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2022)
Article
Green & Sustainable Science & Technology
Arslan Ahmed, Fosca Conti, Peter Bayer, Markus Goldbrunner
Summary: Snowfall and ice formation on road surface can be a safety hazard for driving, and the traditional methods of using salt and de-icing chemicals have environmental and economic disadvantages. Hydronic road heating systems, which circulate a mixture of ethanol and water under the asphalt, provide a valid alternative. This study compares the environmental impact of using salts versus using a road heating system, and the results show that the heating system emits less CO2 over its lifetime.
ENVIRONMENTAL AND CLIMATE TECHNOLOGIES
(2022)