Computer-Aided Civil and Infrastructure Engineering最新文献_第10页

The expressway network design problem for multiple urban subregions based on the macroscopic fundamental diagram 基于宏观基本图的城市多分区高速公路网设计问题

IF 8.5 1区工程技术

Computer-Aided Civil and Infrastructure Engineering Pub Date : 2025-02-03 DOI: 10.1111/mice.13435

Yunran Di, Weihua Zhang, Haotian Shi, Heng Ding, Jinbiao Huo, Bin Ran

引用次数: 0

Autonomous construction framework for crane control with enhanced soft actor–critic algorithm and real-time progress monitoring 基于增强软角色评价算法和实时进度监控的起重机自主施工框架控制

IF 11.775 1区工程技术

Computer-Aided Civil and Infrastructure Engineering Pub Date : 2025-01-30 DOI: 10.1111/mice.13427

Yifei Xiao, T. Y. Yang, Fan Xie

引用次数: 0

Vehicle wheel load positioning method based on multiple projective planes 基于多投影平面的车辆轮载定位方法

IF 8.5 1区工程技术

Computer-Aided Civil and Infrastructure Engineering Pub Date : 2025-01-27 DOI: 10.1111/mice.13432

Kai Sun, Xu Jiang, Xuhong Qiang

{"title":"Vehicle wheel load positioning method based on multiple projective planes","authors":"Kai Sun, Xu Jiang, Xuhong Qiang","doi":"10.1111/mice.13432","DOIUrl":"10.1111/mice.13432","url":null,"abstract":"Computer vision-based vehicle load monitoring methods could obtain spatiotemporal data of vehicle loads, which is important for bridge monitoring and operation. However, during the process of vehicle detection and tracking, current research usually focuses on the vehicle as a whole, and there is a lack of research on the accurate positioning of vehicle wheel loads. For the fatigue analysis of orthotropic steel deck, stress at the structural details belongs to the typical third-class system, and related research requires accurate wheel load position. Based on the principle of camera imaging, this study proposes an innovative vehicle wheel load location method based on vehicle license plate detection and multiple projective planes, and the accurate positioning of the vehicle center is achieved by the projective relationship matrix of different planes. Then, accurate measurement of the lateral wheelbase is achieved through secondary detection and projective transformation. Further, accurate wheel load tracking for fatigue research is achieved by the multi-objective tracking algorithm. Based on theoretical analysis and practical application results, the effectiveness and accuracy of this method have been verified. Different from traditional positioning methods based on vehicle detection boxes and 3D reconstruction boxes, the proposed method has higher accuracy and will play a fundamental role in the use of vehicle load spatiotemporal data for more accurate analysis such as fatigue research.","PeriodicalId":156,"journal":{"name":"Computer-Aided Civil and Infrastructure Engineering","volume":"40 14","pages":"1993-2009"},"PeriodicalIF":8.5,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143050875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reinforcement learning-based trajectory planning for continuous digging of excavator working devices in trenching tasks 挖掘作业中挖掘机工作装置连续挖掘的强化学习轨迹规划

IF 8.5 1区工程技术

Computer-Aided Civil and Infrastructure Engineering Pub Date : 2025-01-27 DOI: 10.1111/mice.13428

X. Tan, W. Wei, C. Liu, K. Cheng, Y. Wang, Z. Yao, Q. Huang

{"title":"Reinforcement learning-based trajectory planning for continuous digging of excavator working devices in trenching tasks","authors":"X. Tan, W. Wei, C. Liu, K. Cheng, Y. Wang, Z. Yao, Q. Huang","doi":"10.1111/mice.13428","DOIUrl":"10.1111/mice.13428","url":null,"abstract":"This paper addresses the challenge of real-time, continuous trajectory planning for autonomous excavation. A hybrid method combining particle swarm optimization (PSO) and reinforcement learning (RL) is proposed. First, three types of excavation trajectories are defined for different geometric shapes of the digging area. Then, an excavation trajectory optimization method based on the PSO algorithm is established, resulting in optimal trajectories, the sensitive parameters, and the corresponding variation ranges. Second, an RL model is built, and the optimization results obtained offline are used as training samples. The RL-based method can be applied for continuous digging tasks, which is beneficial for improving the overall efficiency of the autonomous operation of the excavator. Finally, simulation experiments were conducted in four distinct conditions. The results demonstrate that the proposed method effectively accomplishes excavation tasks, with trajectory generation completed within 0.5 s. Comprehensive performance metrics remained below 0.14, and the excavation rate exceeded 92%, surpassing or matching the performance of the optimization-based method and PINN-based method. Moreover, the proposed method produced consistently balanced trajectory performance across all sub-tasks. These results underline the method's effectiveness in achieving real-time, multi-objective, and continuous trajectory planning for autonomous excavators.","PeriodicalId":156,"journal":{"name":"Computer-Aided Civil and Infrastructure Engineering","volume":"40 13","pages":"1847-1870"},"PeriodicalIF":8.5,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143050874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling the collective behavior of pedestrians with the spontaneous loose leader–follower structure in public spaces 公共空间中自发松散的领导-随从结构对行人集体行为的建模

IF 8.5 1区工程技术

Computer-Aided Civil and Infrastructure Engineering Pub Date : 2025-01-26 DOI: 10.1111/mice.13429

Jie Xu, Dengyu Xu, Jing Wu, Xiaowei Shi

{"title":"Modeling the collective behavior of pedestrians with the spontaneous loose leader–follower structure in public spaces","authors":"Jie Xu, Dengyu Xu, Jing Wu, Xiaowei Shi","doi":"10.1111/mice.13429","DOIUrl":"10.1111/mice.13429","url":null,"abstract":"Gaining insights into pedestrian flow patterns in public spaces can greatly benefit decision-making processes related to infrastructure planning. Interestingly, even pedestrians are unfamiliar with one another, they often follow others, drawing on positive information and engaging in a spontaneous collective behavior of pedestrians. To model this collective behavior, this paper proposed a social force-based technique characterized by a loosely defined leader–follower structure. First, a complex field-based phase transfer entropy (PTE) method was applied to measure the difference in information flow between pedestrians. Setting the detecting threshold with the 3 sigma principle, the radial basis function (RBF) was utilized to identify the leader in the collective. Integrating the PTE, RBF, and social force model (SFM), a comprehensive model (PTE-RBF-SFM) was developed to simulate collective behavior. Some bidirectional pedestrian flow data, collected from Fairground Düsseldorf, were used to validate the model in a real-world setting. The results showed that the proposed model provided more realistic trajectories than benchmark models, and the spontaneous leader–follower structure was found to change over time and stable with time interval prolonging.","PeriodicalId":156,"journal":{"name":"Computer-Aided Civil and Infrastructure Engineering","volume":"40 14","pages":"1956-1974"},"PeriodicalIF":8.5,"publicationDate":"2025-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/mice.13429","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143044282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhanced three-dimensional instance segmentation using multi-feature extracting point cloud neural network 利用多特征提取点云神经网络增强三维实例分割

IF 8.5 1区工程技术

Computer-Aided Civil and Infrastructure Engineering Pub Date : 2025-01-23 DOI: 10.1111/mice.13430

Hongxu Wang, Jiepeng Liu, Dongsheng Li, Tianze Chen, Pengkun Liu, Han Yan, Yadong Wu

{"title":"Enhanced three-dimensional instance segmentation using multi-feature extracting point cloud neural network","authors":"Hongxu Wang, Jiepeng Liu, Dongsheng Li, Tianze Chen, Pengkun Liu, Han Yan, Yadong Wu","doi":"10.1111/mice.13430","DOIUrl":"10.1111/mice.13430","url":null,"abstract":"Precise three-dimensional (3D) instance segmentation of indoor scenes plays a critical role in civil engineering, including reverse engineering, size detection, and advanced structural analysis. However, existing methods often fall short in accurately segmenting complex indoor environments due to challenges of diverse material textures, irregular object shapes, and inadequate datasets. To address these limitations, this paper introduces StructNet3D, a point cloud neural network specifically designed for instance segmentation in indoor components including ceilings, floors, and walls. StructNet3D employs a novel multi-scale 3D U-Net backbone integrated with ArchExtract, which designed to capture both global context and local structural details, enabling precise segmentation of diverse indoor environments. Compared to other methods, StructNet3D achieved an AP50 of 87.7 on the proprietary dataset and 68.6 on the S3DIS dataset, demonstrating its effectiveness in accurately segmenting and classifying major structural components within diverse indoor environments.","PeriodicalId":156,"journal":{"name":"Computer-Aided Civil and Infrastructure Engineering","volume":"40 14","pages":"1975-1992"},"PeriodicalIF":8.5,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143026362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cover Image, Volume 40, Issue 4 封面图片，第40卷，第4期

IF 8.5 1区工程技术

Computer-Aided Civil and Infrastructure Engineering Pub Date : 2025-01-23 DOI: 10.1111/mice.13426

引用次数: 0

Integrating a mortar model into discrete element simulation for enhanced understanding of asphalt mixture cracking 将砂浆模型集成到离散元模拟中，以增强对沥青混合料开裂的理解

IF 11.775 1区工程技术

Computer-Aided Civil and Infrastructure Engineering Pub Date : 2025-01-18 DOI: 10.1111/mice.13425

Gyalwang Dhundup, Jianing Zhou, Michael Bekoe, Lijun Sun, Sheng Mao, Yu Yan

{"title":"Integrating a mortar model into discrete element simulation for enhanced understanding of asphalt mixture cracking","authors":"Gyalwang Dhundup, Jianing Zhou, Michael Bekoe, Lijun Sun, Sheng Mao, Yu Yan","doi":"10.1111/mice.13425","DOIUrl":"https://doi.org/10.1111/mice.13425","url":null,"abstract":"Cracks impact the performance and durability of asphalt pavements, necessitating a comprehensive understanding of the mixture cracking behavior. While discrete element modeling has been implemented, many studies oversimplify the simulation of asphalt mortar, a critical component affecting mixture cracking resistance. This study proposes a mortar model that is applicable to both two‐dimensional (2D) and, to a preliminary extent, three‐dimensional (3D) simulations. The model incorporates a geometric representation of mortar distribution and a mechanical softening model to simulate damage accumulation and fracture. Laboratory and virtual Superpave indirect tensile tests were performed on asphalt mixtures with varying gradations at different aging levels. The virtual simulations successfully mirrored indoor test results in volumetric parameters, load–displacement behavior, and stress distribution. Minor differences in strength, strain, and fracture energy between virtual and indoor tests confirmed the accuracy of the mortar model. Notably, the 3D simulations provided a more accurate reconstruction of the cracking process, showing smaller discrepancies between virtual and indoor results, compared to the 2D simulations, with errors in stress, strain, and fracture energy of 5.6%, 5.7%, and 4.7%, respectively. Employing the mortar model in discrete element simulation revealed insights into fracture angle distribution and tendencies, enabling meticulous analysis of mixture damage characteristics and cracking behavior. This allows for the improved design of mixtures with excellent cracking performance and contributes to advancing computational methods that could complement laboratory testing.","PeriodicalId":156,"journal":{"name":"Computer-Aided Civil and Infrastructure Engineering","volume":"9 1","pages":""},"PeriodicalIF":11.775,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142989527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A noise-based framework for randomly generating soil particle with realistic geometry 一个基于噪声的框架，用于随机生成具有逼真几何形状的土壤颗粒

IF 8.5 1区工程技术

Computer-Aided Civil and Infrastructure Engineering Pub Date : 2025-01-17 DOI: 10.1111/mice.13424

Chen-Xi Tong, Jia-Jun Li, Quan Sun, Sheng Zhang, Wan-Huan Zhou, Daichao Sheng

{"title":"A noise-based framework for randomly generating soil particle with realistic geometry","authors":"Chen-Xi Tong, Jia-Jun Li, Quan Sun, Sheng Zhang, Wan-Huan Zhou, Daichao Sheng","doi":"10.1111/mice.13424","DOIUrl":"10.1111/mice.13424","url":null,"abstract":"Particle morphology influences the mechanical behavior of granular soils. Generating particles with realistic shapes for discrete element method simulations is gaining popularity. However, it is still challenging to efficiently generate very angular particles with less computational cost. Addressing this challenge, this paper introduces a novel noise-based framework for generating realistic soil particle geometry. Noise algorithms are utilized to apply random variations with certain morphological patterns on the surface of the base geometry (e.g., a sphere), thereby generating a variety of particles with morphological patterns ranging from very angular to rounded. In addition, the base geometry can be replaced with other geometries including real particle scans, allowing rapid generation of realistic particles with morphological characteristics of the base geometry. The framework stands out for its simplicity, the wide range of particle morphologies generated, reducing the need for extensive computation and scanning, and provides a new idea for the granular soil behavior simulations.","PeriodicalId":156,"journal":{"name":"Computer-Aided Civil and Infrastructure Engineering","volume":"40 13","pages":"1829-1846"},"PeriodicalIF":8.5,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/mice.13424","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142989103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automatic tiny crack positioning and width measurement with parallel laser line-camera system 平行激光线摄像系统微裂纹自动定位与宽度测量

IF 8.5 1区工程技术

Computer-Aided Civil and Infrastructure Engineering Pub Date : 2025-01-16 DOI: 10.1111/mice.13420

Chaobin Li, R. K. L. Su

{"title":"Automatic tiny crack positioning and width measurement with parallel laser line-camera system","authors":"Chaobin Li, R. K. L. Su","doi":"10.1111/mice.13420","DOIUrl":"10.1111/mice.13420","url":null,"abstract":"Quantifying tiny cracks is crucial for assessing structural conditions. Traditional non-contact measurement technologies often struggle to accurately measure tiny crack widths, especially in hard-to-access areas. To address these challenges, this study introduces an image-based, handheld parallel laser line-camera (PLLC) system designed for automated tiny crack localization and width measurement from multiple angles and safe distances. Established by processing parallel laser strips, the camera coordinate system addresses crack positioning and pixel scale distortion challenges typical in non-perpendicular photography. The determined pixel scale enables accurate width measurement. An improved U-Net model automatically identifies crack pixels, enhancing detection accuracy. Additionally, the newly developed Equal Area algorithm enables the sub-pixel width measurement of tiny cracks. Comprehensive laboratory and field testing demonstrates the system's accuracy and feasibility across various conditions. This PLLC system achieves quantitative tiny crack detection in one shot, significantly enhancing the efficiency and utility of on-site inspections.","PeriodicalId":156,"journal":{"name":"Computer-Aided Civil and Infrastructure Engineering","volume":"40 13","pages":"1811-1828"},"PeriodicalIF":8.5,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/mice.13420","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142988135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0