Automation in Construction最新文献_第4页

Hybrid data generation and deep learning for GPR-based reconstruction of robotic-built underground structures 基于gpr的机器人地下结构重建的混合数据生成和深度学习

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-05-16 DOI: 10.1016/j.autcon.2025.106275

Haibing Wu , Brian Sheil

{"title":"Hybrid data generation and deep learning for GPR-based reconstruction of robotic-built underground structures","authors":"Haibing Wu , Brian Sheil","doi":"10.1016/j.autcon.2025.106275","DOIUrl":"10.1016/j.autcon.2025.106275","url":null,"abstract":"<div><div>There is substantial potential for future underground construction operations to be performed by autonomous robots. This paper proposes a 360-degree digital reconstruction framework for robotic-built underground structures using in-pipe rotating ground penetrating radar (GPR). Unlike conventional ground-level applications, placing GPR inside pipes significantly reduces signal attenuation by shortening the distance to the target, enhancing imaging accuracy. To overcome limited data, this paper proposes a high-fidelity in-pipe GPR generator that combines calibrated synthetic data with real-world pipe reflections, clutter, and random noises. Besides, a ‘stochastic-ellipse-union’ method models robot-constructed structures mathematically, ensuring dataset diversity. Moreover, a optimized 2D digital antenna model, calibrated to 97 % accuracy using a genetic algorithm, reduces radargram generation time by 99.2 % compared to traditional 3D methods. Benchmark tests among seven DL models identified ResNet101-enhanced U-Net as optimal, achieving an intersection-over-union score of 0.937, proving the effectiveness of the framework in reconstructing robotic-built underground structures.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"176 ","pages":"Article 106275"},"PeriodicalIF":9.6,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144066116","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

Benchmarking methods for classifying space functions and access elements in multi-unit apartment buildings 多单元公寓楼空间功能和通道要素分类的基准方法

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-05-16 DOI: 10.1016/j.autcon.2025.106237

Amir Ziaee , Georg Suter

引用次数: 0

Algorithm-based design optimization for building material reuse: Integrated path generation and reclaimed stock assignment 基于算法的建筑材料再利用设计优化：综合路径生成与回收物料分配

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-05-16 DOI: 10.1016/j.autcon.2025.106284

Seungah Suh, Christopher Rausch

{"title":"Algorithm-based design optimization for building material reuse: Integrated path generation and reclaimed stock assignment","authors":"Seungah Suh, Christopher Rausch","doi":"10.1016/j.autcon.2025.106284","DOIUrl":"10.1016/j.autcon.2025.106284","url":null,"abstract":"<div><div>Reuse is not commonly adopted in practice, despite its acknowledged benefits, partly due to the complexity of the design process, considering geometric constraints and fluctuating stock availability. A multi-objective optimization framework for algorithm-based stock assignment and path generation is developed, specifically for one-dimensional material systems (e.g., piping, timber, steel), to maximize reuse allowing for serial connections of stocks. Under the overall genetic algorithm-inspired optimization structure, improved A* and heuristic algorithms are used for pathfinding and stock assignment, respectively. A comparative analysis of the fitness values for both lab-based and real-world case studies demonstrates the robustness of the approach with different optimization parameters, stock availability, and scale complexity. This method can help the next users of construction and demolition waste and spare maintenance parts reuse more materials, contributing to a circular economy in the construction industry. Future research can further expand and apply the proposed approach to more complex real-world scenarios.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"176 ","pages":"Article 106284"},"PeriodicalIF":9.6,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144066115","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

Pre-trained machine learning for inverse structural design of piecewise developable surface 分段可展曲面逆结构设计的预训练机器学习

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-05-15 DOI: 10.1016/j.autcon.2025.106283

Chi-tathon Kupwiwat , Makoto Ohsaki

引用次数: 0

Façade systems for industrialised prefabricated prefinished modular construction 用于工业化预制预制模块化建筑的立面系统

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-05-15 DOI: 10.1016/j.autcon.2025.106269

Ramtin Hajirezaei , Pejman Sharafi , Ehsan Noroozinejad Farsangi , Payam Rahnamayiezekavat

{"title":"Façade systems for industrialised prefabricated prefinished modular construction","authors":"Ramtin Hajirezaei , Pejman Sharafi , Ehsan Noroozinejad Farsangi , Payam Rahnamayiezekavat","doi":"10.1016/j.autcon.2025.106269","DOIUrl":"10.1016/j.autcon.2025.106269","url":null,"abstract":"<div><div>Industrialised construction, through the offsite manufacturing of standardised components, is emerging as a response to the growing demand for the mass production of high-performance buildings. A review of existing research and projects reveals a significant gap in the development of façade systems compatible with Prefabricated Prefinished Volumetric Construction (PPVC)—the most advanced form of offsite building manufacturing. This gap has contributed to inefficiencies in construction and, in some cases, irreversible damage.</div><div>This paper critically reviews current façade systems used in PPVC, analysing opportunities to develop more compatible systems across three key areas: weatherproofing, connections, and installation processes. It also examines challenges such as labour-intensive scaffolding, misalignment and collisions during assembly, and limited flexibility for automated solutions. The waterproofing of horizontal and vertical joints is identified as a critical issue, necessitating innovative approaches. The findings offer insights for industry professionals and policymakers to support the development of efficient modular façade systems.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"176 ","pages":"Article 106269"},"PeriodicalIF":9.6,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143947468","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

Artificial intelligence- and blockchain-enabled carbon emissions ledger system (AB-CELS) for sustainable construction processes 可持续建筑过程的人工智能和区块链支持的碳排放分类系统（AB-CELS）

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-05-15 DOI: 10.1016/j.autcon.2025.106286

Istiqlal Aurangzeb , Jong Han Yoon

{"title":"Artificial intelligence- and blockchain-enabled carbon emissions ledger system (AB-CELS) for sustainable construction processes","authors":"Istiqlal Aurangzeb , Jong Han Yoon","doi":"10.1016/j.autcon.2025.106286","DOIUrl":"10.1016/j.autcon.2025.106286","url":null,"abstract":"<div><div>Material transportation and on-site assembly are the building lifecycle phases that produce significant carbon emissions. However, traditional methods for capturing and recording these emissions lack automation, traceability, and immutability. This limitation hinders project stakeholders from data-driven decision-makings to promote sustainable construction practices and effectively implement regulations aimed at reducing carbon emissions. To address these challenges, this paper proposes a proof of concept for a transformational emissions ledger system that integrates an AI-powered large multimodal model for automatic parsing of emission-relevant data and a blockchain-enabled smart contract for a traceable and immutable emissions ledger. The proposed solution enables project stakeholders to automatically generate an immutable emissions ledger recorded on blockchain during the material transportation and on-site assembly phases, thereby enhancing their ability to make informed decisions regarding carbon emissions management. Additionally, this system enables regulatory approaches, including subsidies and tax incentives, all anchored in an immutable emissions ledger based on blockchain.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"176 ","pages":"Article 106286"},"PeriodicalIF":9.6,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143947469","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

BIM-lean integration for construction scheduling of road intersections 面向交叉口施工调度的bim精益集成

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-05-14 DOI: 10.1016/j.autcon.2025.106247

Karen Castañeda , Omar Sánchez , Carlos A. Peña , Rodrigo F. Herrera , Guillermo Mejía

{"title":"BIM-lean integration for construction scheduling of road intersections","authors":"Karen Castañeda , Omar Sánchez , Carlos A. Peña , Rodrigo F. Herrera , Guillermo Mejía","doi":"10.1016/j.autcon.2025.106247","DOIUrl":"10.1016/j.autcon.2025.106247","url":null,"abstract":"<div><div>Road intersections are critical components of urban infrastructure networks, ensuring safe and efficient traffic flow. However, their construction frequently experiences delays and cost overruns, often due to inadequate schedule planning. To mitigate these issues, the integration of Building Information Modeling (BIM) and Lean Construction has emerged as a promising strategy. Despite the recognized benefits, their combined application in road infrastructure projects remains limited. This paper proposes a planning framework for planning road intersection construction schedules based on integrating BIM and Lean Construction. The framework was developed using Design Science Research (DSR), through iterative design, development, and evaluation stages. Validation was conducted using a case study involving an at-grade and a grade-separated intersection. Results demonstrate that incorporating BIM and Lean facilitates improved scheduling by integrating digital simulations of construction and traffic management. The proposed framework helps planners make more accurate, efficient, and data-driven scheduling decisions in digital simulations of complex infrastructure.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"176 ","pages":"Article 106247"},"PeriodicalIF":9.6,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143942292","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

AEC Co-design workflow for cross-domain querying and reasoning using Semantic Web Technologies 基于语义Web技术的跨域查询和推理协同设计工作流

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-05-14 DOI: 10.1016/j.autcon.2025.106226

Diellza Elshani , Alessio Lombardi , Daniel Hernandez , Steffen Staab , Al Fisher , Thomas Wortmann

{"title":"AEC Co-design workflow for cross-domain querying and reasoning using Semantic Web Technologies","authors":"Diellza Elshani , Alessio Lombardi , Daniel Hernandez , Steffen Staab , Al Fisher , Thomas Wortmann","doi":"10.1016/j.autcon.2025.106226","DOIUrl":"10.1016/j.autcon.2025.106226","url":null,"abstract":"<div><div>The Architecture, Engineering, and Construction (AEC) industry faces data integration challenges due to fragmented silos and diverse data representations, hindering cross-domain queries and early detection of design constraints. Semantic Web Technologies (SWTs) address data integration challenges.</div><div>This paper evaluates the impact of SWTs on co-design workflows by comparing them with alternative approaches to assess their effectiveness in supporting interdisciplinary collaboration and design constraint detection. Using Design Science Research, a co-design methodology is developed that integrates SWTs with AEC tools for reasoning and federated querying. A component of this methodology is a bidirectional mapping strategy for translating object-oriented data models, demonstrated with the Building Habitat Object Model (BHoM), an AEC interoperability framework.</div><div>Findings reveal that integrating SWTs enables reasoning and complex queries across federated datasets, improving co-design efficiency. These findings support AEC professionals in advancing co-design and data-driven decision-making, while also informing future research on integrating SWTs into AEC design workflows.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"176 ","pages":"Article 106226"},"PeriodicalIF":9.6,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143942291","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

Cost optimization of repetitive project scheduling through a constraint programming-based relax-and-solve algorithm 基于约束规划的重复项目调度成本优化松弛求解算法

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-05-13 DOI: 10.1016/j.autcon.2025.106272

Zhiyuan Hu , Futian Wang , Yuanjie Tang

{"title":"Cost optimization of repetitive project scheduling through a constraint programming-based relax-and-solve algorithm","authors":"Zhiyuan Hu , Futian Wang , Yuanjie Tang","doi":"10.1016/j.autcon.2025.106272","DOIUrl":"10.1016/j.autcon.2025.106272","url":null,"abstract":"<div><div>This paper focuses on the cost minimization of the multi-mode resource-constrained repetitive project scheduling problem with multiple crews, crew interruptions, and soft logic. The resource allocation of each crew is considered. To explore the impact of different construction strategies on project costs, mixed-integer linear programming (MILP) and constraint programming (CP) models are developed representing different construction scenarios. A relax-and-solve (R&S) algorithm, incorporating a rolling horizon and constraint programming, is proposed to obtain near-optimal solutions within reasonable time limits. The case study reveals that considering crew resource allocation and adopting more flexible construction strategies can contribute to reducing total project costs. The findings provide construction managers with practical strategies to improve scheduling, resource management, and cost control. Meanwhile, the proposed algorithm performs competitively compared with MILP and CP models, which inspires future research to apply this algorithm to other repetitive project scheduling problems.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"176 ","pages":"Article 106272"},"PeriodicalIF":9.6,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143935085","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

VIF–TOPSIS coupling algorithm for image quality assessment in smart construction site management 智能施工现场管理图像质量评价的VIF-TOPSIS耦合算法

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-05-13 DOI: 10.1016/j.autcon.2025.106239

Chunmei Wang, Yuming Tao

{"title":"VIF–TOPSIS coupling algorithm for image quality assessment in smart construction site management","authors":"Chunmei Wang, Yuming Tao","doi":"10.1016/j.autcon.2025.106239","DOIUrl":"10.1016/j.autcon.2025.106239","url":null,"abstract":"<div><div>Real-time monitoring is critical for smart construction management, yet environmental complexities degrade surveillance video quality. Traditional visual information fidelity (VIF) algorithms depend on reference images, which limits their use in no-reference scenarios such as autonomous systems and industrial inspection. Grounded in information theory, this paper proposes an algorithm that integrates VIF with the technique for order preference by similarity to ideal solution (TOPSIS), obtaining the coupling algorithm VIF–TOPSIS. Wavelet transforms extract the features; TOPSIS selects the optimal features; and the inverse wavelet transform reconstructs the images. An “ideal solution” image replaces the reference dependencies, enabling no-reference quality assessment. Evaluated on multiframe samples, the algorithm significantly improved peak signal-to-noise ratio (PSNR), structural similarity index measure (SSIM), and gradient magnitude similarity deviation (GMSD) compared to traditional methods. Enhanced contrast and brightness further validated its efficacy in dynamic environments. This framework advances real-time video processing, offering robust technical support for smart construction management.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"176 ","pages":"Article 106239"},"PeriodicalIF":9.6,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143942211","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