Computer-Aided Civil and Infrastructure Engineering最新文献

Probabilistic seismic damage assessment for partition walls based on a multi-spring numerical model incorporating uncertainties

IF 11.775 1区工程技术

Computer-Aided Civil and Infrastructure Engineering Pub Date : 2025-03-26 DOI: 10.1111/mice.13472

Jiantao Huang, Masahiro Kurata

引用次数: 0

Deep line segment detection for concrete pavement distress assessment

IF 11.775 1区工程技术

Computer-Aided Civil and Infrastructure Engineering Pub Date : 2025-03-26 DOI: 10.1111/mice.13467

Yuanhao Guo, Yanqiang Huo, Ning Cheng, Zongjun Pan, Xiaoming Yi, Jiankun Cao, Haoyu Sun, Jianqing Wu

引用次数: 0

Complete-coverage path planning for surface inspection of cable-stayed bridge tower based on building information models and climbing robots

IF 11.775 1区工程技术

Computer-Aided Civil and Infrastructure Engineering Pub Date : 2025-03-25 DOI: 10.1111/mice.13469

Zhe Xia, Jiangpeng Shu, Wei Ding, Yifan Gao, Yuanfeng Duan, Carl James Debono, Vijay Prakash, Dylan Seychell, Ruben Paul Borg

{"title":"Complete-coverage path planning for surface inspection of cable-stayed bridge tower based on building information models and climbing robots","authors":"Zhe Xia, Jiangpeng Shu, Wei Ding, Yifan Gao, Yuanfeng Duan, Carl James Debono, Vijay Prakash, Dylan Seychell, Ruben Paul Borg","doi":"10.1111/mice.13469","DOIUrl":"https://doi.org/10.1111/mice.13469","url":null,"abstract":"Climbing robots present transformative potential for automated structural inspections, yet their deployment remains limited by the reliance on manual control due to the absence of effective environment perception and path-planning solutions. The critical bottleneck lies in the difficulty of generating accurate planning maps solely through onboard sensors due to the challenge of capturing open, large-scale, and irregular environments (e.g., cable-stayed bridge towers). This study proposes a building information modeling (BIM)-based complete-coverage path planning (BCCPP) framework, leveraging BIM to enable autonomous robotic inspection. The framework constructs accurate grid maps through BIM data, addressing the map-perception problem for robots in open, large-scale, and irregular environment while refining the boustrophedon-A* algorithm with multi-heuristic optimization, which reduces path repetition and improves energy efficiency. Field and simulated experiments on a cable-stayed bridge tower show the BCCPP achieves 93.5% coverage with 9.1% repetition, and planned paths were executable within a 0.2 m tolerance and collisions avoided. This work bridges BIM, climbing robot, and path planning, offering a scalable solution for intelligent infrastructure inspection.","PeriodicalId":156,"journal":{"name":"Computer-Aided Civil and Infrastructure Engineering","volume":"29 1","pages":""},"PeriodicalIF":11.775,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143703478","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

Bridge damage identification using a small amount of damage labeling data

IF 11.775 1区工程技术

Computer-Aided Civil and Infrastructure Engineering Pub Date : 2025-03-25 DOI: 10.1111/mice.13470

Hongshuo Sun, Li Song, Zhiwu Yu

{"title":"Bridge damage identification using a small amount of damage labeling data","authors":"Hongshuo Sun, Li Song, Zhiwu Yu","doi":"10.1111/mice.13470","DOIUrl":"https://doi.org/10.1111/mice.13470","url":null,"abstract":"This paper proposes a method for bridge damage identification using a small amount of damage labeling data. This method first trains a deep neural network (DNN) with undamaged bridge inclination responses as inputs and bridge equivalent loads as labels. The ratio curve related to the bridge damage state can be obtained by quantifying the change in the DNN prediction error before and after bridge damage. Then, this method achieves the efficient calculation of ratio curves corresponding to different damage states based on finite element static simulation, and damage index curves calculated based on ratio curves are used to produce bridge damage localization labeling data to achieve bridge damage localization. Finally, the quantification of bridge damage can be achieved by only calculating the ratio curves of different damage degrees at the damage location. The proposed method not only overcomes the limitations of high modeling cost, low efficiency, and poor robustness to measurement noise and modeling errors of the finite element dynamic simulation method in producing damage labeling data to some extent but also can achieve bridge damage localization by using only the damage labeling data of a single damage degree at each damage location, and can achieve the approximate prediction of multi-damage locations without including multi-damage localization labeling data. The feasibility of the proposed method under conditions of unknown loads, a small number of sensors, and the presence of modeling errors and measurement noise is verified by numerical simulations.","PeriodicalId":156,"journal":{"name":"Computer-Aided Civil and Infrastructure Engineering","volume":"183 1","pages":""},"PeriodicalIF":11.775,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143703479","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

Development of a low-cost microscopic vision-based real-time strain sensor using Raspberry Pi

IF 11.775 1区工程技术

Computer-Aided Civil and Infrastructure Engineering Pub Date : 2025-03-23 DOI: 10.1111/mice.13468

Bingchuan Bai, Bo Lu, Zhichao Wen, Han Yuan, Weijie Li, Xuefeng Zhao

引用次数: 0

A multilevel track defects assessment framework based on vehicle body vibration

IF 11.775 1区工程技术

Computer-Aided Civil and Infrastructure Engineering Pub Date : 2025-03-22 DOI: 10.1111/mice.13466

Xingqingrong Chen, Yuanjie Tang, Rengkui Liu

{"title":"A multilevel track defects assessment framework based on vehicle body vibration","authors":"Xingqingrong Chen, Yuanjie Tang, Rengkui Liu","doi":"10.1111/mice.13466","DOIUrl":"https://doi.org/10.1111/mice.13466","url":null,"abstract":"High-frequency detection of track defects is crucial for accurate track condition assessment and system safety. Onboard vibration data collection devices can significantly increase detection density without additional costs. However, defect assessment based on this is significantly challenging, including the spatial heterogeneity of track parameters, distribution mismatch between vibration data and defect labels, and variability in vibration responses across different defects. This study proposes a multilevel track defect assessment framework based on vehicle body vibration. The correlation intensity between vibrations and heterogeneity factors was analyzed, and a correlation-view spectral clustering algorithm was designed to achieve effective data set partitioning. A spectral-normalized neural Gaussian process-based adaptive-threshold self-training method (SNGP-ASM) was developed to generate high-quality pseudo-labels and generate a fully labeled data set. An attention-guided multitask cascaded convolutional neural network (CNN) was constructed to progressively assess track defects using channel-wise attentions and a cross-hierarchical attention guidance module. Validations on multiple Chinese metro lines demonstrated that the framework achieved a high performance in training and testing for most defect assessment tasks within lines, and the trained model can effectively adapt to new lines with only lightweight fine-tuning. Moreover, the framework maintained a high computational efficiency, enabling high-frequency track condition monitoring in practical deployment scenarios.","PeriodicalId":156,"journal":{"name":"Computer-Aided Civil and Infrastructure Engineering","volume":"21 1","pages":""},"PeriodicalIF":11.775,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143672664","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

Optimization of passenger flow control and parallel bus bridging in urban rail transit based on intelligent transport infrastructure

IF 11.775 1区工程技术

Computer-Aided Civil and Infrastructure Engineering Pub Date : 2025-03-20 DOI: 10.1111/mice.13460

Qingqing Zhao, Jinjin Tang, Wen-Long Shang, Chao Li, Yifei Ren, Mohammed Quddus, Washington Ochieng

{"title":"Optimization of passenger flow control and parallel bus bridging in urban rail transit based on intelligent transport infrastructure","authors":"Qingqing Zhao, Jinjin Tang, Wen-Long Shang, Chao Li, Yifei Ren, Mohammed Quddus, Washington Ochieng","doi":"10.1111/mice.13460","DOIUrl":"https://doi.org/10.1111/mice.13460","url":null,"abstract":"Passenger flow control and bus bridging are used widely in the operations and management of urban rail transit to relieve the pressure of urban rail transit passenger flow, especially in peak periods. This paper presents an optimization method based on time-varying running time in links. We first develop a mixed integer nonlinear programming model seeking to achieve the minimum total passenger travel time and operation cost. An optimization network and an algorithm are then designed to solve the model. We use the developed method to solve both a small-scale simulated case study and a real-world case study involving the Chengdu Metro. The results obtained by the designed algorithm are comparable with those obtained by the CPLEX solver but with a shorter calculation time. The results show that parallel bus bridging can effectively reduce the number of waiting passengers. A sensitivity analysis of weight suggests that the algorithm successfully balances passenger travel cost and operating cost while incorporating time-varying running times leads to more realistic and dynamic infrastructure planning. This work contributes to the development of intelligent urban rail and road infrastructure systems, promoting safer and more efficient public transport operations.","PeriodicalId":156,"journal":{"name":"Computer-Aided Civil and Infrastructure Engineering","volume":"56 1","pages":""},"PeriodicalIF":11.775,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143661031","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 9

IF 8.5 1区工程技术

Computer-Aided Civil and Infrastructure Engineering Pub Date : 2025-03-20 DOI: 10.1111/mice.13465

引用次数: 0

Enhanced consensus control architecture for autonomous platoon utilizing multi-agent reinforcement learning

IF 11.775 1区工程技术

Computer-Aided Civil and Infrastructure Engineering Pub Date : 2025-03-19 DOI: 10.1111/mice.13463

Xin Guo, Jiankun Peng, Dawei Pi, Hailong Zhang, Changcheng Wu, Chunye Ma

{"title":"Enhanced consensus control architecture for autonomous platoon utilizing multi-agent reinforcement learning","authors":"Xin Guo, Jiankun Peng, Dawei Pi, Hailong Zhang, Changcheng Wu, Chunye Ma","doi":"10.1111/mice.13463","DOIUrl":"https://doi.org/10.1111/mice.13463","url":null,"abstract":"Coordinating a platoon of connected and automated vehicles significantly improves traffic efficiency and safety. Current platoon control methods prioritize consistency and convergence performance but overlook the inherent interdependence between the platoon and the the non-connected leading vehicle. This oversight constrains the platoon's adaptability in car-following scenarios, resulting in suboptimal optimization performance. To address this issue, this paper proposed a platoon control framework based on multi-agent reinforcement learning, aiming to integrate cooperative optimization with platoon tracking behavior and internal coordination strategies. This strategy employs a bidirectional cooperative optimization mechanism to effectively decouple the platoon's tracking behavior from its internal coordination control, and then recouple it in a multi-objective optimized manner. Additionally, it leverages long short-term memory networks to accurately capture and manage the platoon's dynamic nature over time, aiming to achieve enhanced optimization outcomes. The simulation results demonstrate that the proposed method effectively improves the platoon's cooperative effect and car-following adaptability. Compared to the consensus control strategy, it reduces the average spacing error by 8.3%. Furthermore, the average length of the platoon decreases by 19.1%.","PeriodicalId":156,"journal":{"name":"Computer-Aided Civil and Infrastructure Engineering","volume":"14 1","pages":""},"PeriodicalIF":11.775,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143660435","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

Expanding sparse point deflection measurements to spatially continuous data via optical fiber sensors in long-span suspension bridges 通过大跨度悬索桥中的光纤传感器将稀疏点挠度测量扩展为空间连续数据

IF 11.775 1区工程技术

Computer-Aided Civil and Infrastructure Engineering Pub Date : 2025-03-18 DOI: 10.1111/mice.13459

Qianen Xu, Xinteng Ma, Yang Liu

{"title":"Expanding sparse point deflection measurements to spatially continuous data via optical fiber sensors in long-span suspension bridges","authors":"Qianen Xu, Xinteng Ma, Yang Liu","doi":"10.1111/mice.13459","DOIUrl":"https://doi.org/10.1111/mice.13459","url":null,"abstract":"In structural health monitoring, only the deflection of key sections of the bridge can be monitored; the spatial continuous deflection of the main girder cannot be identified. To solve this problem, a method for expanding sparse point deflection measurements to spatially continuous data via optical fiber sensors in long-span suspension bridges is proposed. First, the distributed fiber-optic sensors are arranged longitudinally along the bridge to obtain the strain data of high-density measurement points on the main girder. Second, the influences of ambient temperature and cable system on the main girder strain of the suspension bridge are eliminated by using multiple types of sensors, and a transformation model from strain to deflection of the main girder based on an inverse finite element method is established. Then, by using thin-walled bar torsion analysis and deflection data obtained from point sensors, a method for expanding the deflection data of high-density measurement points on long-span suspension bridges that combines data interpolation and particle swarm optimization is proposed. The proposed method can extend the deflection monitoring data at key sections to the spatial continuous position of the main girder, thus effectively identifying the deflection of high-density measurement points on the main girder. Finally, a numerical simulation and monitoring data of a real bridge are used to evaluate the effectiveness of the proposed method, and the results show that the deflection identification results of the proposed method are more accurate than the conjugate beam method and the inverse finite element method without considering the main girder torsion.","PeriodicalId":156,"journal":{"name":"Computer-Aided Civil and Infrastructure Engineering","volume":"27 1","pages":""},"PeriodicalIF":11.775,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143640561","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