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Joint inverse analysis for instantaneous and creep deformation parameters of high rockfill dams based on surrogate models and improved multi-objective intelligent algorithm

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EXPERT SYSTEMS WITH APPLICATIONS 2025年 277卷

作者： Yu, Jia ao Sun, Yiqing Shen, Zhenzhong Gan, Lei Hohai Univ Coll Water Conservancy & Hydropower Engn Nanjing 210024 Peoples R China Minist Transport Key Lab Transport Ind Comprehens Transportat Theor Nanjing Modern Multimodal Transportat Lab Nanjing 211100 Peoples R China Hohai Univ State Key Lab Hydrol Water Resources & Hydraul Eng Nanjing 210024 Peoples R China Southeast Univ Sch Transportat Nanjing 211189 Peoples R China

The monitoring data analysis and numerical calculation for the deformation of earth rock dams are essential basis for structural state assessment. However, due to the complexity of high rockfill dam, conventional finite element (FE) calculation and inverse analysis methods are often difficult to accurately reconstruct the deformation field of the dam body. In this paper, the improved multi-objective cuckoo search (IMOCS) algorithm was combined with the response surface model (RSM) to perform multi-objective joint inverse analysis for instantaneous and creep deformation parameters of a high rockfill dam, which is verified to have superiorities in aspects of iteration efficiency, coverage and uniformity of solution sets. Eventually, the reasonable mechanical parameters of rockfill material were obtained, and the settlement process of dam monitoring points was simulated. Unlike the conventional single objective method, the proposed novel method can avoid three issues including the difficulty of separating instantaneous deformation and creep, the inconsistency of buried and start measuring time for deformation monitors, and the neglection for the effect of water level changes during operation. In conclusion, the proposed approach possesses the potential of precise identification for mechanical parameter and the advantage in facilitating the assessment of structural safety for earth rock dams.

关键词： High core rockfill dam Joint inverse analysis Settlement monitoring Surrogate model Improved multi-objective cuckoo search algorithm

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Efficient Contact algorithm for 3D Finite Element Modeling of Bottomhole Assemblies: Validation and Application

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SPE JOURNAL 2025年第3期30卷 1237-1255页

作者： Zhang, He Tian, Kaixiao Bhaidasna, Ketan Halliburton Houston TX 77032 USA

Static analysis of the lateral deformation of a bottomhole assembly (BHA) is essential for controlling borehole trajectories in directional drilling. A major technical challenge in static BHA modeling is efficiently determining the contact configuration between the BHA and the borehole wall. This configuration, including contact locations and orientations, is not known a priori and introduces nonlinearities into the analysis. Most algorithms addressing the contact problem in BHA modeling are proprietary and lack detailed descriptions. Explicit algorithms based on the Newton-Raphson iteration method and linear/nonlinear complementarity problem formulations have limitations, such as computational inefficiency and the need for predefined contact locations. In this paper, we derive governing differential equations for 3D BHA static deformation, incorporating nonlinear effects from borehole curvature, axial forces, and both discrete and continuous contacts. The finite element method (FEM) is used to solve these equations under appropriate boundary conditions. Within the finite element framework, the Lagrange multiplier method (LMM) is used to impose displacement constraints at contact points, while an innovative iterative process ensures the unilateral nature of the contacts. The algorithm typically converges in O (10) each iteration involving the solution of approximately O (10(2)) iterations, with finite element equations, ensuring high computational efficiency. The algorithm, grounded in principles of structural mechanics, is robust across a wide range of conditions, and its accuracy is validated against a published algorithm. The proposed BHA model is further validated using downhole measurements. In one scenario, bending moment on bit (BOB) measurements from a BHA equipped with a rotary steerable system (RSS) shows strong agreement with the model results, both in magnitude and variation pattern, when a fixed displacement boundary condition is applied at the bit. In

关键词： geology contact point drilling operation trajectory design geologist directional drilling drillstring design deformation algorithm bit side force

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A time series forecasting method for oil production based on Informer optimized by Bayesian optimization and the hyperband algorithm (BOHB)

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COMPUTERS & CHEMICAL ENGINEERING 2025年 197卷

作者： Deng, Wu Xin, Xiankang Song, Ruixuan Yang, Xinzhou Wang, Weifeng Yu, Gaoming Yangtze Univ Sch Petr Engn Wuhan 430100 Peoples R China Yangtze Univ Hubei Key Lab Oil & Gas Drilling & Prod Engn Wuhan 430100 Peoples R China Yangtze Univ Natl Engn Res Ctr Oil & Gas Drilling & Complet Tec Sch Petr Engn Wuhan 430100 Peoples R China Univ Calif Santa Cruz Dept Earth & Planetary Sci Santa Cruz CA 95064 USA Shenzhen Branch CNOOC Ltd Shenzhen 518000 Peoples R China

Oil production forecasting is essential in the petroleum and natural gas sector, providing a fundamental basis for the adjustment of development plans and improving resource utilization efficiency for engineers and decisionmakers. However, current deep learning models often struggle with long-term dependencies in long time series and high computational costs, limiting their effectiveness in complex time series forecasting tasks. This paper introduced the Informer model, an enhancement over the Transformer framework, to address these limitations. For evaluation and verification, the Informer model and reference models such as CNN, LSTM, GRU, CNN-GRU, and GRU-LSTM were applied to publicly available time-series datasets, and the optimal hyperparameters of the model were identified using Bayesian optimization and the hyperband algorithm (BOHB). The experimental results demonstrated that the Informer model outperformed others in computational speed, resource efficiency, and handling large-scale data, showing potential for practical applications in the future.

关键词： Oil production forecasting Deep learning Time series forecasting Informer Bayesian optimization and hyperband algorithm

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Competition of tribes and cooperation of members algorithm: An evolutionary computation approach for model free optimization

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EXPERT SYSTEMS WITH APPLICATIONS 2025年 265卷

作者： Chen, Zuyan Li, Shuai Khan, Ameer Tamoor Mirjalili, Seyedali Univ Oulu Fac Informat Technol & Elect Engn Oulu 90570 Finland VTT Tech Res Ctr Finland Oulu 90590 Finland Univ Copenhagen Dept Plant & Environm Sci DK-1172 Copenhagen Denmark Torrens Univ Australia Ctr Artificial Intelligence Res & Optimizat Brisbane Qld 4006 Australia Obuda Univ Univ Res & Innovat Ctr H-1034 Budapest Hungary

Metaheuristic algorithms solve optimization problems mostly by imitating behaviors observed in nature. Over time, these algorithms have proven to be very effective in solving complex optimization problems. Due to the rising complexity and scale of practical engineering problems, numerous metaheuristic algorithms have been developed recently and applied in various fields. In response to this need, researchers continue to explore novel approaches inspired by natural and social phenomena. Inspired by the competition among ancient tribes and their cooperative behavior, this paper proposes a meta-heuristic called the Competition of Tribes and Cooperation of Members algorithm (CTCM). Experiments are conducted on 23 benchmark test functions and comprehensively compared with other state-of-the-art algorithms, including particle swarm optimization (PSO), grey wolf optimizer (GWO), sparrow search algorithm (SSA), egret swarm optimization (ESOA), beetle antennae search (BAS) and whale optimization (WOA). The standard deviation and average, as well as statistical tests are utilized to compare the performance of each algorithm, which demonstrates that CTCM is superior in the majority of problems. In addition, the results of Wilcoxon and Friedman rank tests show that the CTCM achieves the first place in all categories of problems. The results indicate that CTCM possesses strong global optimization search capability and stability, and has faster convergence speed. The paper also considers solving practical engineering optimization problems as proof-of-concept case studies, in which CTCM achieves all the optimal solutions for each engineering problem.

关键词： Evolutionary computation Competition of tribes and cooperation of members algorithm Meta-heuristics Swarm intelligence Engineering optimization Optimization algorithm

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ARC-LIGHT: algorithm for Robust Characterization of Lunar Surface Imaging for Ground Hazards and Trajectory

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AEROSPACE 2025年第3期12卷 177-177页

作者： Cushen, Alexander Bueno, Ariana Carrico, Samuel Wettstein, Corrydon Adalja, Jaykumar Ishvarbhai Shi, Mengxiang Garcia, Naila Garcia, Yuliana Gamba, Mirko Ruf, Christopher Univ Michigan Climate & Space Sci & Engn Dept Ann Arbor MI 48109 USA Univ Michigan Dept Aerosp Engn Ann Arbor MI 48109 USA Univ Michigan Elect Engn & Comp Sci Dept Ann Arbor MI 48109 USA Univ Michigan Dept Mech Engn Ann Arbor MI 48109 USA

Safe and reliable lunar landings are crucial for future exploration of the Moon. The regolith ejected by a lander's rocket exhaust plume represents a significant obstacle in achieving this goal. It prevents spacecraft from reliably utilizing their navigation sensors to monitor their trajectory and spot emerging surface hazards as they near the surface. As part of NASA's 2024 Human Lander Challenge (HuLC), the team at the University of Michigan developed an innovative concept to help mitigate this issue. We developed and implemented a machine learning (ML)-based sensor fusion system, ARC-LIGHT, that integrates sensor data from the cameras, lidars, or radars that landers already carry but disable during the final landing phase. Using these data streams, ARC-LIGHT will remove erroneous signals and recover a useful detection of the surface features to then be used by the spacecraft to correct its descent profile. It also offers a layer of redundancy for other key sensors, like inertial measurement units. The feasibility of this technology was validated through development of a prototype algorithm, which was trained on data from a purpose-built testbed that simulates imaging through a dusty environment. Based on these findings, a development timeline, risk analysis, and budget for ARC-LIGHT to be deployed on a lunar landing was created.

关键词： Plume Surface Interaction (PSI) lunar landing navigation machine learning Artemis dust imaging algorithm surface hazards

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A stochastic recursive gradient algorithm with inertial extrapolation for non-convex problems and machine learning

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INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS 2025年 1-15页

作者： Mo, Zhongyu Ouyang, Chen Pham, Hongtruong Yuan, Gonglin Guangxi Univ Ctr Appl Math Guangxi Sch Math & Informat Sci Nanning 530004 Guangxi Peoples R China Thai Nguyen Univ Econ & Business Adm Thai Nguyen Vietnam

In recent years, the inertial extrapolation step has gained significant attention due to its capacity to expedite algorithm convergence. This technology has found widespread application across various algorithms. However, within the domain of machine learning, the utilization of extrapolation technology has yielded limited results. Therefore, we apply it to stochastic optimization algorithms to address non-convex and machine learning problems. By integrating the inertial extrapolation step and the modified Barzilai-Borwein (BB) technique into the SARAH framework, we propose an inertial stochastic recurrence gradient method. This method incorporates both the inertial extrapolation step and the improved BB technique. Through theoretical analysis presented in this paper, we demonstrate that the algorithm converges to a global optimum and analyze the linear convergence rate of the non-convex ((lambda) over tilde -gradient-dominated) objective functions. The numerical results obtained from evaluating three widely utilized machine learning problems clearly illustrate the superior performance and practical feasibility of the proposed algorithm.

关键词： Extrapolation algorithm Non-convex Global optimum Convergence Numerical results

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Prediction of total heat exchange factor using an improved particle swarm optimization algorithm for the reheating furnace

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INTERNATIONAL JOURNAL OF THERMAL SCIENCES 2025年 210卷

作者： Yang, Zhi Luo, Xiaochuan Qiao, Jinwei Chen, Jun Liu, Pengbo Qilu Univ Technol Shandong Acad Sci Sch Mech Engn Jinan 250353 Peoples R China Shandong Inst Mech Design & Res Jinan 250353 Peoples R China Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Peoples R China Northeastern Univ State Key Lab Synthet Automat Proc Ind Shenyang 110819 Peoples R China

For the reheating furnace, it is very difficult to determine the total heat exchange factor because of the complex environment and lack of efficient algorithms. To determine the unknown total heat exchange factors, an improved particle swarm optimization (named NDWPSO) algorithm is proposed by solving the inverse heat conduction problem (IHCP). Firstly, a nonlinear IHCP inversion model is built based on the one-dimensional heat transfer model with the Galerkin weighted residual method for the reheating furnace. Secondly, this study incorporates differential evolution(DE) and whale optimization (WO) into the NDWPSO algorithm to improve the effectiveness and enhance the adaptability. Thirdly, the global convergence and stability analysis are performed for the NDWPSO algorithm. Implemented in MATLAB, 2 different simulation experiments (3 typical benchmark functions experiment, the total heat exchange factor with the functional form) were given to compare the algorithm performance. The results demonstrate that the NDWPSO algorithm performs more quickly and accurately than the other 8 heuristic algorithms. Finally, the application of the NDWPSO algorithm with real furnace temperature data can obtain the minimum mean error of 0.4890 o C, indicating the reliability of the NDWPSO algorithm.

关键词： Total heat exchange factor Inverse heat conduction problem Improved particle swarm optimization algorithm Convergence analysis Benchmark function tests

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Peridynamic modeling of transient heat conduction in solids using a highly efficient algorithm

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NUMERICAL HEAT TRANSFER PART B-FUNDAMENTALS 2025年第5期86卷 1255-1270页

作者： Abdoh, D. A. Hong Kong Polytech Univ Dept Bldg Environm & Energy Engn Kowloon Hong Kong Peoples R China

This article presents a novel peridynamic algorithm to model the transient heat conduction in two-dimensional (2-D) problems. The peridynamic method is used to solve the heat transfer equation, and a new algorithm is developed to simulate heat conduction efficiently. The new peridynamic algorithm can simulate the heat conduction for the whole geometry within only 2 s when using up to 5,000 particles and 5,000 simulation steps, where the mesh-free nature of peridynamics is well utilized. Moreover, the thermal results obtained from the new peridynamic algorithm demonstrate high accuracy by solving several heat conduction problems under different boundary conditions. The results are validated against exact and analytical solutions and compared with other numerical models. The developed algorithm can be easily implemented in software packages and industrial applications.

关键词： algorithm Computational cost Heat conduction Peridynamics Transient

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Research on Simulation algorithm of Bounded Wave Simulator Based on Nonuniform Multiconductor Transmission Lines and Electric Dipole Theory

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IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION 2025年第1期73卷 351-361页

作者： Gu, Yixing Zhou, Zhongyuan Li, Chengjie Jing, Shenhui Sheng, Mingjie Zhao, Wei Southeast Univ Res Ctr Electromagnet Environm Effects Sch Mech Engn Nanjing 211189 Peoples R China

This article analyzes the E-field response in the test volume of bounded wave simulator (BWS) in time domain (TD) based on nonuniform multiconductor transmission lines (NMTLs) and electric dipole theory. First, the transmission lines (TLs) in BWS are modeled as a NMTL system and divided into a certain number of cascaded uniform multiconductor TLs (MTLs). Second, the current distribution in frequency domain (FD) along the TLs of BWS is determined based on the theory of MTL and the chain parameter matrix (CPM) when sinusoidal continuous wave signals of different frequencies are fed into BWS. Third, the E-field at field point of the test area of BWS is calculated by summing the E-field radiated by all the currents on the TLs in BWS via the electric dipole theory. Finally, the E-field response in TD is solved via discrete Fourier transform (DFT) and inverse DFT (IDFT). The validity of the proposed algorithm is investigated by analyzing an example of BWS, which is measured experimentally. It has been shown from the established results that the proposed method leads to an effective technique for analyzing the E-field response in the test volume of BWS. Related research in this article can provide some guidance in the analysis of BWS and transient electromagnetic field radiation sensitivity test (RS 105).

关键词： algorithm bounded wave simulator (BWS) current distribution current distribution electric dipole electric dipole Fourier transform (FT) Fourier transform (FT) nonuniform multiconductor transmission lines (NMTLs) nonuniform multiconductor transmission lines (NMTLs) nonuniform multiconductor transmission lines (NMTLs)

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A modified memetic algorithm for the home health care scheduling and routing problem considering caregiver skill deviation and synchronous service

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COMPUTERS & INDUSTRIAL ENGINEERING 2025年 203卷

作者： Li, Yan Wang, Qiangqiang Wang, Heping Wang, Fuyu Zhao, Dan Anhui Univ Technol Sch Management Sci & Engn Maanshan 243000 Peoples R China Multiple Sci Management & Control Complex Syst Key Maanshan 243000 Peoples R China

Based on the real scenario that two caregivers are needed to serve an elderly patient simultaneously, the paper studies the home health care synchronous scheduling and routing problem. The value function of prospect theory is used to describe their perceived satisfaction from the perspective of caregivers' bounded rationality towards skill deviations. A mixed-integer programming model is proposed to maximize the caregivers' satisfaction and minimize the total operating cost. An improved multi-objective memetic algorithm (IMOMA) is designed to solve the problem. In the IMOMA, an improved push-forward insertion heuristic (IPFIH) algorithm is proposed to generate initial solutions. Two types of crossover operators, three types of mutation operators and four types of neighborhood search operators with the properties of the problem are designed to improve the performance of the IMOMA. Taguchi experiment is constructed to set the optimal parameters of the algorithm. Simulation experiments are conducted in cases of various scales. The results indicate that the IMOMA can efficiently solve the scheduling problem by comparing with the three algorithms. Finally, the sensitivity analysis is conducted on the key parameters of the scheduling model to explore their impact on the optimization objectives of the scheduling scheme.

关键词： Home health care Scheduling and routing Skill deviation Synchronous service An improved multi-objective memetic algorithm

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