Simulation Modelling Practice and Theory最新文献

{"title":"New insights on the downward evacuation speed on long-distance stairs by experiment and modelling","authors":"Yayun You ,&nbsp;Zhiming Fang ,&nbsp;Shaocong Xie ,&nbsp;Qize He ,&nbsp;Jun Zhang ,&nbsp;Tianyu Tang","doi":"10.1016/j.simpat.2025.103083","DOIUrl":"10.1016/j.simpat.2025.103083","url":null,"abstract":"<div><div>Current evacuation models for super high-rise buildings typically assume a fixed speed or a decrease in speed with distance traveled, which overlooks the combined effects of physical exertion, recovery after rest, and partnering behavior. In this study, we present new insights on the downward evacuation speed on long-distance stairs by experiment and modelling. First, long-distance down stairs experiments are carried out, in which the goal distance, rest, and partnering or not are used as control factors. Second, a speed formula that indicates how the speed decreases as accumulated distance and how much does the speed increase after the rest is defined according to the experimental results. Furthermore, an evacuation model with dynamic speed (Evac-DS model) for super high-rise buildings is built, in which the pedestrian's speed is determined by the factors considered in the defined formula, such as expected evacuation distance, evacuation time, rest time, goal distance, and partnering or not. The results show that whether in scenarios where pedestrians move alone or in pairs, the trend of speed changes in the evacuation process on long-distance stairs predicted by the Evac-DS model closely matches the experiment. Finally, the Evac-DS model is used to simulate the evacuation process in Shanghai Tower with 580m height, and the predicted speed is compared with the evacuation drill data, as well as two other models: one assuming a constant speed and another where speed decreases linearly with distance. The results indicate that the Evac-DS model can effectively predict the evacuation time and the variation of pedestrian's evacuation speed in actual super high-rise buildings. This study may be a key step in understanding the nonlinear changes in speed during long-distance stairs evacuation, and provide scientific reference and support for both theoretical research and model applications related to pedestrian evacuation in the stairwells of super high-rise buildings.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"140 ","pages":"Article 103083"},"PeriodicalIF":3.5,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143094699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and application of a 3D GPU-parallelized CDEM for blasting induced rock fractures","authors":"Huanning Hu ,&nbsp;Liyun Yang ,&nbsp;Chun Feng ,&nbsp;Junguang Huang ,&nbsp;Xinguang Zhu","doi":"10.1016/j.simpat.2025.103081","DOIUrl":"10.1016/j.simpat.2025.103081","url":null,"abstract":"<div><div>The study has developed a three-dimensional, GPU-parallelized Continuum-Discontinuum Element Method (CDEM) program, utilizing the CUDA C/C++ programming model on GPUs to simulate rock deformation, fracturing, and movement. Initially, the paper outlines the theory and algorithms of the 3D Graphics Processing Units (GPU) - parallelized CDEM, focusing particularly on parallelization and optimization. Performance tests indicate that the 3D GPU-parallelized CDEM achieves a computational speed 645.31 times faster than a single-core serial CDEM code, significantly boosting computational efficiency. The simulation results of rock fracturing were demonstrated through a single-borehole blasting simulation in granite. Material parameters for granite were calibrated using 3D Brazilian and uniaxial compression tests. Comparisons with experimental data demonstrated that the simulation effectively replicated the observed crack patterns. However, discrepancies were noted in stress wave attenuation, and significant errors in crack density were observed across different sections, which may be attributed to variations in loading methods. These comparisons indicate that the proposed model can simulate the entire process of explosive-induced fracturing with substantial improvements in computational efficiency. Nonetheless, further enhancements in accuracy are necessary. These findings underscore the advantages of the 3D GPU-parallelized CDEM in enhancing computational speeds and its potential in geotechnical engineering, especially for simulating rock fractures under quasi-static and explosive dynamic conditions.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"140 ","pages":"Article 103081"},"PeriodicalIF":3.5,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143094697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PyAdMesh: A novel high-performance software for adaptive finite element analysis","authors":"S. Asil Gharebaghi,&nbsp;A.H. Khatami","doi":"10.1016/j.simpat.2025.103074","DOIUrl":"10.1016/j.simpat.2025.103074","url":null,"abstract":"<div><div>This study introduces <span>PyAdMesh</span>, an open-source software for reducing discretization errors in finite element analysis using an h-adaptive method. Adaptive approaches iteratively refine meshes to minimize errors but require substantial computational resources due to repeated analyses. <span>PyAdMesh</span> addresses this challenge by employing efficient data transfer operators for displacement, stress, and strain, avoiding full reanalysis. The software achieves performance gains through parallel processing on CPU and GPU, leveraging <span>CuPy</span>, <span>Numba</span>, and Python’s <span>multiprocessing</span> library. GPU parallelization achieves speed-ups of 30 times compared to serial execution, while CPU parallelization yields an 8-fold improvement. <span>PyAdMesh</span> reduces discretization error from <span>5.5</span>% to <span>0.07</span>% using a recovery-based error estimation method. Despite low-end hardware, including an <em>Intel Xeon 6148</em> CPU and <em>NVIDIA Quadro P4000</em> GPU, the software demonstrates significant potential for adaptive finite element analysis. Future studies should explore its performance on high-end hardware. This work highlights <span>PyAdMesh</span>’s potential for large-scale engineering simulations, balancing computational efficiency and accuracy.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"140 ","pages":"Article 103074"},"PeriodicalIF":3.5,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143094694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of casted muck pile profiles using discrete element modeling and the Monte Carlo approach","authors":"R. Lamont ,&nbsp;S. Schafrik ,&nbsp;B. Diddle ,&nbsp;J. Silva ,&nbsp;J. Calnan ,&nbsp;Z. Agioutantis","doi":"10.1016/j.simpat.2025.103077","DOIUrl":"10.1016/j.simpat.2025.103077","url":null,"abstract":"<div><div>In applicable orebodies, well-designed cast blasting has proven to be a more efficient method of material transportation than traditional options. Cast blast design has historically been based upon the modification of previous field observations. More recently, numerical models have been developed to predict blasting effects such as vibration and sound, among many. The Discrete Element Modeling method, which creates a large quantity of individual particles, has experienced successful application in modeling blasted rock movement. This work examined several potential improvements to the prediction of muck pile profiles and evaluated their effect based on measured results. Model element shapes, sizes, and distributions were found to have little effect on predictive ability. A stochastic approach was taken to simplify the effect of several pre-blast variables into only initial velocity, which proved to be a valid assumption. A modest central portion of the bench was found to represent the entire bench accurately. Several factors were found to have a high impact on final muck pile profiles, including friction, pit floor variation, and timing. The results illuminate the effects of several parameters crucial to increasing the ability of operators to optimize cast blasts.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"140 ","pages":"Article 103077"},"PeriodicalIF":3.5,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143094695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Peridynamics simulating of dynamics crack propagation in rock mass under blasting load","authors":"Liping Li ,&nbsp;Xiaochu Chen ,&nbsp;Chenglu Gao ,&nbsp;Zongqing Zhou ,&nbsp;Minghao Li ,&nbsp;Daosheng Zhang ,&nbsp;Jinbo Chen","doi":"10.1016/j.simpat.2025.103079","DOIUrl":"10.1016/j.simpat.2025.103079","url":null,"abstract":"<div><div>It is important to study the crack propagation and failure criterion of fractured rock masses under dynamic blasting loads to ensure the safety and stability of tunnels constructed using the drill-and-blast method. Based on the idea of conventional peridynamics, a peridynamics constitutive model of the pull-compression composite failure of rock materials and a peridynamics simulation method for crack propagation in a fractured rock mass under a blasting load were established. In addition, the criterion for the stress wave incident angle and in-situ stress state for crack propagation in a rock mass were investigated. The incident angle of the stress waves was found to affect the crack propagation. When the incident angle was 0°, new cracks propagated parallel to prefabricated cracks. When the incident angle was 15°-75°, wing cracks formed at the tips on both sides of a prefabricated crack, and the initiation and propagation angles of these new cracks increased with the incident angle. The in-situ stress affected the propagation direction of an explosive-generated crack and the range of the fracture zone. When unidirectional stress was applied, the radial main crack expanded along the direction of the stress, and the range of the fracture zone decreased with an increase in stress. The applicability and accuracy of the proposed dynamic disturbance peridynamics simulation method for solving the problem of dynamic failure and crack growth in a rock mass were verified based on previous physical and model test results.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"140 ","pages":"Article 103079"},"PeriodicalIF":3.5,"publicationDate":"2025-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143094696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modelling and visualization behavior simulation in public open spaces based on MLP and SFM","authors":"Chunxia Yang,&nbsp;Mengxuan Liu,&nbsp;Zhaoxiang Fan","doi":"10.1016/j.simpat.2025.103076","DOIUrl":"10.1016/j.simpat.2025.103076","url":null,"abstract":"<div><div>This research is grounded in the analysis of real human activity data in public open spaces (POS) and investigates the utilization patterns of 45 spatial segments and 121 subspaces within Shanghai's waterfront public areas. Employing a multi-layer perceptron neural network model, we explore the mechanisms by which 30 space, environmental, and facility factors influence various activities, including sightseeing, leisure, and sports. These findings are then integrated into a behavior simulation visualization system. Following a fitting and adjustment process, we validate the effectiveness of this behavior simulation system. The research outcomes reveal the robust performance of the multi-layer perceptron in predicting pedestrian activity in public spaces. Translating numerical predictive models into dynamic systems of behavioral simulation driven by social force model (SFM), we observe a relative error (RE) range of 0.041–0.158, with minimal loss of fit. Finally, through practical case testing, we illustrate the application of this behavior simulation workflow. The primary objective of this research is to provide predictive and scientific foundations based on human behavioral requirements for the design and optimization of POS, supporting human-centric and refined design decisions for urban landscape space.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"140 ","pages":"Article 103076"},"PeriodicalIF":3.5,"publicationDate":"2025-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143094693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Large-scale real-time evacuation modeling during urban floods: A coupled agent-based multi-model framework","authors":"Wei Lv ,&nbsp;Fangwei Deng ,&nbsp;Jinghui Wang ,&nbsp;Yefan Han ,&nbsp;Shuai Yang","doi":"10.1016/j.simpat.2025.103075","DOIUrl":"10.1016/j.simpat.2025.103075","url":null,"abstract":"<div><div>The escalating frequency of urban pluvial flooding disasters, attributed to climate change and rapid urbanization, has emerged as a formidable global challenge. Meanwhile, the task of large-scale real-time urban evacuation simulation research remains arduous and complex. In response, this paper presents a coupled agent-based multi-model framework (CABMF) that intertwines (1) an agent-based model capturing the decision-making attributes, (2) a transportation model delineating pedestrian and vehicular evacuation movements, and (3) a hydrodynamic model simulating catastrophic floodwater progression. Notably, this framework achieves pioneering real-time evacuation simulation concurrently with the impacts of flood disasters. Applying the CABMF to the evacuation simulation in a flood emergency of the 10-kilometer buffer zone along the Yangtze River and Han River within Wuhan city, along with scenario-based simulations, enables an examination of the influence of transportation modes, shelter arrangements, and flood-affected road networks on evacuation experimental results. Research findings suggest that optimizing the ratio of transportation modes, arranging vertical evacuation shelters, and restricting access to identified high-risk road links contribute to improved evacuation efficiency and reduced disaster risk. The proposed CABMF couples the impacts of flood uniquely and is anticipated to yield substantial insights for large-scale evacuation management in the context of flood disasters.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"140 ","pages":"Article 103075"},"PeriodicalIF":3.5,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143094692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transfer-Mamba: Selective state space models with spatio-temporal knowledge transfer for few-shot traffic prediction across cities","authors":"Shaokang Cheng,&nbsp;Shiru Qu,&nbsp;Junxi Zhang","doi":"10.1016/j.simpat.2025.103066","DOIUrl":"10.1016/j.simpat.2025.103066","url":null,"abstract":"<div><div>Spatio-temporal traffic forecasting significantly impacts the development of smart cities. Owing to uneven development levels and the substantial costs of data collection, many cities often encounter the challenge of limited data availability when undertaking traffic prediction tasks. This paper introduces Transfer-Mamba, a method that employs Spatio-temporal selective state space models with transfer learning for few-shot traffic prediction across multiple cities. Transfer-Mamba features a Spatio-temporal graph pre-training process, which incorporates an encoder–decoder architecture with a Mamba module and an adaptive graph convolutional network. This process enhances the feature representation and transferability of traffic data from multiple source cities by capturing Spatio-temporal correlations. To distinguish unique traffic patterns and data distributions in source cities, an unsupervised learning algorithm groups similar traffic characteristics during the Spatio-temporal knowledge clustering phase. These clustered patterns are then retrieved through a Spatio-temporal knowledge querying process, which extracts traffic meta-knowledge to guide the few-shot prediction phase for the target city. Extensive experiments conducted on four real-world traffic datasets demonstrate that Transfer-Mamba outperforms the existing mainstream baselines, which provides valuable insight for optimizing road traffic management.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"140 ","pages":"Article 103066"},"PeriodicalIF":3.5,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143094691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Discrete element modelling of water diffusion and softening characteristics in rocks","authors":"Kang Bian ,&nbsp;Yanan Chen ,&nbsp;Xuecheng Peng ,&nbsp;Qingrong Xiong","doi":"10.1016/j.simpat.2024.103065","DOIUrl":"10.1016/j.simpat.2024.103065","url":null,"abstract":"<div><div>The water softening effect is a critical factor that can cause or exacerbate large deformation phenomena or even instability in rock engineering. In this study, a meso water diffusion and softening model is proposed based on the discrete element method, the theory of saturated-unsaturated seepage and damage theory, which can be used to characterize the moisture diffusion process between rock pores quantitatively, as well as the mechanical behaviour of rock particles undergoing parameter deterioration subjected to a water-induced softening effect. In addition, by comparing the simulated values with the results of mercury intrusion, water absorption and uniaxial compression tests, the rationality of the proposed model has been validated. Furthermore, the relationships between the saturation coefficients and the mechanical parameters of rock samples are researched, and the moisture distribution characteristics of rock samples and their impacts on the meso mechanical parameters under water absorption, evaporation and closed boundary conditions are studied, as well as the evolution of the number of microcracks in rock samples during uniaxial compression tests. The research results indicate that the strength and stiffness parameters of the particle elements exhibit non-linear degradation with increasing saturation coefficient. With the same saturation coefficient, the degradation degree of the uniaxial compressive strength and elastic modulus of the sample during the evaporation process is usually greater than that of the sample during the saturation process. Compared with that in the low-saturation samples, the number of cracks in the high-saturation samples significantly increased under water absorption conditions. In contrast, the number of cracks in the sample does not change significantly with decreasing saturation under evaporation conditions. The proposed model provides a new approach for studying the water-softening effect in rocks using the discrete element method.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"140 ","pages":"Article 103065"},"PeriodicalIF":3.5,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143094026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Stochastic Energy-Efficient Robust Simulation-Based Truck Dispatching Optimization for Simultaneous GHG Mitigation and Operational Excellence in Open-Pit Mines","authors":"Mohammadreza Kazemi Ashtiani ,&nbsp;Ali Moradi Afrapoli ,&nbsp;John Doucette ,&nbsp;Hooman Askari-Nasab","doi":"10.1016/j.simpat.2024.103026","DOIUrl":"10.1016/j.simpat.2024.103026","url":null,"abstract":"<div><div>Almost all currently active large open-pit mines across the globe heavily rely on fleet of shovels and haul trucks for material handling. This material handling system has a significant contribution not only to the production cost of the mine (+50%), but also to its energy consumption (+41%) and greenhouse gas (GHG) emissions (+37%). However, traditionally, operation management in general and truck dispatching, in particular, focused primarily on production targets and operational efficiency, neglecting environmental considerations in open-pit mines. Nowadays, growing awareness of climate change and responsible resource extraction has shifted, however, the focus towards sustainable practices throughout the mining industry, open-pit mining not excluded. The significant contribution of this study lies in the development of an integrated simulation and optimization framework that simultaneously accounts for anthropogenic GHG emissions resulting from energy (fuel) consumption and enhances the operational efficiency of the material handling system, thus yielding direct economic and environmental benefits. The paper fulfills its goals with the aim of simultaneous achievement of four interdependent objectives: minimizing the deviations from target production rates set by strategic plans, minimizing the shovel idle time, minimizing the truck wait time, and minimizing the truck fuel consumption. The performance and the robustness of the proposed framework has been evaluated in a case study at Gol-E-Gohar mine in Iran, demonstrating a successful achievement of up to 6% reduction in fuel consumption per tonne of production leading to a significant overall decrease of up to 20,000 liters in fuel consumption, equivalent to 61,000 carbon dioxide (CO2) emissions, in a 10-day operation with 12 hours of operation per day.</div></div>","PeriodicalId":49518,"journal":{"name":"Simulation Modelling Practice and Theory","volume":"138 ","pages":"Article 103026"},"PeriodicalIF":3.5,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}