Article
Computer Science, Interdisciplinary Applications
Shujin Hou, Ying Fan, Bo-Wen Yi
Summary: This paper explores the crucial role of renewable energy in mitigating climate change and the challenges faced in electricity transition planning. Through the development of a new multistage stochastic mixed-integer model, the scalability and computational efficiency issues in model application have been effectively addressed.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Mechanics
Yuhang Xu, Yangyang Sha, Cong Wang, Yingjie Wei
Summary: In this study, PVNet (Pressure-Velocity Network), an improved U-shaped neural network combined with Transformer Modules and Multi-scale Fusion Modules, is proposed to predict velocity fields from pressure on the hydrofoil surface. The incorporation of position encodings into the input features improves prediction accuracy. Tests on the cavitation dataset of the NACA66 hydrofoil show that PVNet outperforms traditional models such as shallow neural networks and UNet. Furthermore, a quantitative analysis of the impact of input features on prediction performance and a comparison of different positional encodings are conducted.
Article
Computer Science, Interdisciplinary Applications
Yuxin Che, Zhenzhen Zhang
Summary: This paper proposes an exact algorithm to solve the vehicle routing problem with simultaneous pickup and delivery, considering stochastic customer demands. The problem is modeled as a two-stage stochastic programming problem with recourse, where routing decisions are made based on known delivery demand and deterministic expected pickup demand in the first stage, and recourse actions are taken in the second stage when stochastic pickup quantities are revealed. Three recourse policies are proposed to deal with failures in the first stage. The Integer L-shaped algorithmic framework is used to solve the problem, and effective lower bounding techniques are designed for the three recourse policies. Computational experiments validate the effectiveness of the proposed algorithm and lower bounding techniques.
COMPUTERS & OPERATIONS RESEARCH
(2023)
Article
Engineering, Civil
Zhongwei Zhao, Jiaxing Liu, Bin Wang, Yubin Gao
Summary: This study aims to reveal the changing rules of shear capacity of partially corroded steel beams considering the nonlinear buckling behavior. The contribution from support stiffener and flange to shear capacity is investigated and the influences of corrosion parameters are analyzed. The results provide valuable insights for assessing the shear capacity of actual steel beams.
THIN-WALLED STRUCTURES
(2023)
Article
Engineering, Ocean
Zhongwei Zhao, Lumeng Tang, Ni Zhang, Qi Cai, Shengjie Mo, Bing Liang
Summary: This study focuses on the influence of corrosion on the shear capacity of H-shaped steel beams, proposing a relationship between shear capacity and mass loss ratio, and presenting an analytical method for predicting the residual shear capacity of corroded steel beams. The results show high accuracy in predicting the shear capacity of H-shaped steel beams with corroded web, making the proposed method applicable for different material strengths.
APPLIED OCEAN RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Naeme Zarrinpoor, Mir Saman Pishvaee
Summary: This study presents a novel two-stage possibilistic-stochastic programming model for designing a reliable municipal solid waste management system (MSWMS). By developing an integrated system to generate revenue and utilizing enhancement strategies to expedite convergence, the proposed model addresses large-scale instances effectively.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Computer Science, Interdisciplinary Applications
Y. N. Hoogendoorn, R. Spliet
Summary: We propose an improved integer L-shaped method to address the vehicle routing problem with stochastic demands. Our approach achieves up to 325 times faster computation compared to the current state-of-the-art, enabling us to optimally solve 153 previously unsolved benchmark instances. The algorithm improves upon the existing literature by addressing technical issues, enhancing partial route inequalities, and introducing three new types of valid inequalities.
INFORMS JOURNAL ON COMPUTING
(2023)
Article
Construction & Building Technology
Kangji Li, Wen Zheng, Wenping Xue, Zifeng Wang
Summary: Accurately understanding the distribution of indoor environmental parameters is crucial for adjusting indoor thermal comfort and saving building energy. This study successfully rebuilds a reduced-dimensional model of the indoor temperature field through proper orthogonal decomposition (POD) and an offline-online strategy for large-space buildings. By using heuristic reasoning and linear stochastic estimation (LSE) methods, the optimal layout of temperature sensors is determined and the indoor temperature fields can be rapidly reconstructed and predicted. Experimental results show that with only six sensors, the large-space indoor temperature field can be accurately estimated online.
ENERGY AND BUILDINGS
(2023)
Article
Management
Jonathan De La Vega, Michel Gendreau, Reinaldo Morabito, Pedro Munari, Fernando Ordonez
Summary: This paper tackles the vehicle routing problem with time windows and stochastic demands (VRPTWSD). It presents a two-stage stochastic program with recourse for modeling the problem, where routes are planned in the first stage and executed in the second stage. The paper proposes an Integer L-shaped algorithm that considers different recourse actions such as reactive trips, preventive trips, and additional actions to handle violated time windows. Experimental results using benchmark instances demonstrate the effectiveness of the proposed algorithm, particularly when using the fixed rule-based policy.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Materials Science, Paper & Wood
Xudong Zhu, Yingying Xue, Pengfei Qi, Qian Lan, Liang Qian, Jie Shen, Ying Gao, Jiajia Li, Changtong Mei, Shengcai Li
Summary: Three kinds of L-shaped latticed joint were designed to study the shear bearing capacity of joints prepared by welding of wooden dowels with self-tapping screws. The results showed that the composite dowels exhibited bending and splitting after the shear test. The bending bearing capacity of the joint was determined by the bending moment at the geometric center of the four composite dowels. The theoretical value was relatively consistent with the test value, and the calculated design value was conservative in estimating the ultimate bearing capacity of the joint.
Article
Computer Science, Interdisciplinary Applications
Eric Larsen, Emma Frejinger, Bernard Gendron, Andrea Lodi
Summary: We propose a methodology that combines operations research and machine learning to accelerate the solution of complex stochastic programming problems. By substituting exact solutions with supervised machine learning predictions, we can achieve significant reductions in online solution time without sacrificing too much solution accuracy in the first stage. Our numerical results demonstrate that our method outperforms state-of-the-art methods in solving hard instances of stochastic optimization problems.
INFORMS JOURNAL ON COMPUTING
(2023)
Article
Materials Science, Composites
Zhang Di, Bao Fei, Meiqi Wang, Xiaodong Ding, Zongzhan Gao
Summary: This article analyzes the failure mechanism and load-bearing capacity of equal-thickness and variable-thickness L-shaped joint structures through numerical simulation and experiments. The study finds that there are different failure mechanisms in the two joint structures.
APPLIED COMPOSITE MATERIALS
(2023)
Article
Engineering, Industrial
Ada Che, Jieyu Lei, Zhibin Jiang
Summary: This study redesigns the reverse logistics network of household appliances in China by introducing disassembly centers and three types of remanufacturing plants. By establishing a mathematical model and heuristic method to determine facility locations and capacities, the redesigned network is evaluated with an actual case. The results show a significant improvement in recycling rates, where almost all useful materials can be efficiently recycled compared to the traditional network.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Engineering, Industrial
Zhenping Li, Pengbo Jiao
Summary: This paper studies the multi-vehicle multi-compartment inventory routing problem with stochastic demands (MCIRPSD) in the context of fuel delivery. The proposed algorithms effectively solve the problem and demonstrate their efficiency through performance comparisons. The impacts of instance features on the results are further analyzed, leading to managerial insights.
INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING COMPUTATIONS
(2022)
Article
Construction & Building Technology
Yongqian Zheng, Shaoxi Zeng
Summary: This study investigated the flexural behavior of L-shaped multi-cell concrete-filled steel tubular members under different loading angles. The findings indicate that loading angles significantly impact the flexural capacity and stiffness of the specimens. It was also proposed that adding longitudinal stiffeners or using multi-cell cross-sections could improve the flexural capacity by approximately 20%.
JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
(2021)