Automation in Construction最新文献

Digital twin framework to enhance facility management for relocatable modular buildings 数字孪生框架，加强可移动模块化建筑的设施管理

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-05-05 DOI: 10.1016/j.autcon.2025.106249

Truong Dang Hoang Nhat Nguyen , Dang Huy Ly , Hanbyeol Jang , Han Nguyen Ngoc Dinh , Yonghan Ahn

{"title":"Digital twin framework to enhance facility management for relocatable modular buildings","authors":"Truong Dang Hoang Nhat Nguyen , Dang Huy Ly , Hanbyeol Jang , Han Nguyen Ngoc Dinh , Yonghan Ahn","doi":"10.1016/j.autcon.2025.106249","DOIUrl":"10.1016/j.autcon.2025.106249","url":null,"abstract":"<div><div>Relocatable modular buildings (RMBs) are gaining recognition for their innovation, efficiency, and sustainability, especially in addressing urgent needs during natural disasters or pandemics. Their inherent flexibility, mobility, and scalability enable rapid deployment and adaptation to changing needs. However, managing multiple modular units and their relocation and reconfiguration over time presents significant challenges. This paper proposes a digital twin framework that integrates building information modeling (BIM), the internet of things (IoT), and geographic information systems (GIS) to enhance facility management for RMBs. Through a detailed case study of a relocatable modular school system, the framework's application is illustrated, showcasing its ability to streamline lifecycle management of modular construction, from initial design and fabrication to deployment, operation, and reconfiguration. The results highlight the potential of digital twin technology in fostering more sustainable, efficient, and resilient modular building environments, contributing to the evolution of smart construction practices and adaptive architecture</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"176 ","pages":"Article 106249"},"PeriodicalIF":9.6,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143903915","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

Synchronization in prefabricated off-site fit-out with graduation intelligent manufacturing system 预制非现场装配与毕业智能制造系统同步

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-05-05 DOI: 10.1016/j.autcon.2025.106243

Haoran Ding , Ray Y. Zhong , George Q. Huang

{"title":"Synchronization in prefabricated off-site fit-out with graduation intelligent manufacturing system","authors":"Haoran Ding , Ray Y. Zhong , George Q. Huang","doi":"10.1016/j.autcon.2025.106243","DOIUrl":"10.1016/j.autcon.2025.106243","url":null,"abstract":"<div><div>Prefabricated Off-site Fit-out (POF) plays a critical but often overlooked role in Modular Prefabricated Construction (MPC). Due to fragmented and asymmetric information, inconsistent production and intralogistics operations, and production uncertainty, the POF faces significant synchronization challenges. To address these challenges, this paper proposes the Graduation Intelligent Manufacturing System (GiMS), inspired by the university graduation ceremonies. GiMS creates a smart environment that supports POF real-time decision-making under uncertainties. A ticket-based synchronization mechanism is used to coordinate production and intralogistics operations dynamically. Numerical analysis verified that GiMS significantly improves synchronization performance and reduces earliness and tardiness across various uncertainty scenarios. The experiment results confirmed its effectiveness in optimizing POF processes. This paper presents a synchronization framework explicitly designed for POF, providing practical insights for applying smart manufacturing solutions in modular construction environments.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"176 ","pages":"Article 106243"},"PeriodicalIF":9.6,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143903916","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

Transfer learning for intelligent design of lightweight Strain-Hardening Ultra-High-Performance Concrete (SH-UHPC) 轻量化应变硬化超高性能混凝土智能设计的迁移学习

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-05-03 DOI: 10.1016/j.autcon.2025.106241

Yi-Xin Zhang , Qiao Zhang , Ling-Yu Xu , Wei Hou , You-Shui Miao , Yang Liu , Bo-Tao Huang

{"title":"Transfer learning for intelligent design of lightweight Strain-Hardening Ultra-High-Performance Concrete (SH-UHPC)","authors":"Yi-Xin Zhang , Qiao Zhang , Ling-Yu Xu , Wei Hou , You-Shui Miao , Yang Liu , Bo-Tao Huang","doi":"10.1016/j.autcon.2025.106241","DOIUrl":"10.1016/j.autcon.2025.106241","url":null,"abstract":"<div><div>The design of lightweight Ultra-High-Performance Concrete (UHPC) requires pursuing superior material efficiency, which involves striking a delicate balance between ultra-high compressive strength and reduced material density. This paper compiled a comprehensive dataset of 176 ordinary UHPC and 72 lightweight UHPC and proposed a framework that integrates both transfer learning and Bayesian Optimization-enhanced Extreme Gradient Boosting (BO-XGBoost) for the design of lightweight UHPC. The BO-XGBoost model was pre-trained through hyperparameter tuning, laying a solid foundation for predicting material efficiency. Transfer learning was incorporated to address data limitations in lightweight UHPC while capturing its unique properties. The framework achieved 98.2 % accuracy in forward prediction and 94.7 % in reverse design. Notably, a lightweight UHPC using local materials was successfully developed and exhibited strain-hardening behavior based on the proposed approach, pushing the performance envelope of existing UHPC materials. This approach provided a solution for the design of lightweight strain-hardening UHPC towards superior material efficiency.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"175 ","pages":"Article 106241"},"PeriodicalIF":9.6,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143898673","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

Automated openBIM-based discrete event simulation modeling for cradle-to-site embodied carbon assessment 基于openbim的自动化离散事件模拟建模，用于从摇篮到现场的隐含碳评估

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-05-02 DOI: 10.1016/j.autcon.2025.106217

Yuqing Xu , Xingbo Gong , Xingyu Tao , Helen H.L. Kwok , Charinee Limsawasd , Jack C.P. Cheng

{"title":"Automated openBIM-based discrete event simulation modeling for cradle-to-site embodied carbon assessment","authors":"Yuqing Xu , Xingbo Gong , Xingyu Tao , Helen H.L. Kwok , Charinee Limsawasd , Jack C.P. Cheng","doi":"10.1016/j.autcon.2025.106217","DOIUrl":"10.1016/j.autcon.2025.106217","url":null,"abstract":"<div><div>Assessing cradle-to-site embodied carbon (EC) emissions enables stakeholders to make carbon-reduction decisions early. Discrete event simulation (DES) is useful for analyzing cradle-to-site EC by simulating construction operations. However, developing a DES model for cradle-to-site EC assessment in construction projects is time-consuming and error-prone. Therefore, this paper proposes an automated openBIM-based DES modeling approach. It starts with developing an integrated ontology of EC assessment, building information modeling (BIM) elements, and DES modeling to identify data requirements. It is followed by a BIM data verification flow using open standards, including extending Industry Foundation Classes (IFC) files and checking data integrity in IFC. Lastly, a general IFC-to-XML conversion tool is developed to convert processed IFC inputs into XML files, enabling the automation of DES modeling for cradle-to-site EC assessment. This openBIM-based DES solution was demonstrated in an actual project building. The results indicate that our approach can significantly improve DES modeling efficiency.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"175 ","pages":"Article 106217"},"PeriodicalIF":9.6,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143895550","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

Unified framework for digital twins of bridges 桥梁数字孪生的统一框架

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-04-30 DOI: 10.1016/j.autcon.2025.106214

Vedhus Hoskere , Delaram Hassanlou , Asad Ur Rahman , Reza Bazrgary , Muhammad Taseer Ali

{"title":"Unified framework for digital twins of bridges","authors":"Vedhus Hoskere , Delaram Hassanlou , Asad Ur Rahman , Reza Bazrgary , Muhammad Taseer Ali","doi":"10.1016/j.autcon.2025.106214","DOIUrl":"10.1016/j.autcon.2025.106214","url":null,"abstract":"<div><div>Digital twin technology is transforming bridge infrastructure management through virtual replicas that integrate sensor data with intelligent analytics to enable proactive decision-making. At the same time, rapid advances in sensing, artificial intelligence, robotics, and automated bridge modeling offer new opportunities to improve digital twin outcomes. This paper introduces a unified development framework for bridge digital twins, grounded in a systematic literature review and bibliometric mapping of cyber-physical interfaces, reality modeling, and twin-building methods. Advances in bridge information modeling, as well as 4D, geometric, condition-based, and structural digital twins, are surveyed. Key digital services enabled by digital twins for both new and existing bridges are highlighted, including design, construction, inspection, structural health monitoring, digital maintenance, disaster vulnerability assessment, and fatigue assessment. Critical challenges and research gaps are identified to guide future efforts toward the widespread adoption of digital twins in bridge infrastructure.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"175 ","pages":"Article 106214"},"PeriodicalIF":9.6,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143891795","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

Unified and interoperable digital twin models for emergency evacuation using building simulation identity cards 使用建筑物模拟身份证进行紧急疏散的统一和可互操作的数字孪生模型

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-04-30 DOI: 10.1016/j.autcon.2025.106225

Muhammad Farhan Jahangir , Aliakbar Kamari , Carl Peter Leslie Schultz

{"title":"Unified and interoperable digital twin models for emergency evacuation using building simulation identity cards","authors":"Muhammad Farhan Jahangir , Aliakbar Kamari , Carl Peter Leslie Schultz","doi":"10.1016/j.autcon.2025.106225","DOIUrl":"10.1016/j.autcon.2025.106225","url":null,"abstract":"<div><div>Digital Twin (DT) technology is crucial for effective emergency evacuation planning in buildings, requiring specialized simulation models, from earthquake propagation to evacuation route planning. However, the lack of a unified vocabulary and standardized framework for integrating these models hinders seamless collaboration and limits holistic simulations. This fragmentation poses a significant challenge, as no single simulator can accurately capture the complex dynamics in emergency scenarios. To address this gap, this paper proposes the Building Simulation Identity Card (BSIC), a framework designed to standardize, characterize, and integrate the properties of building simulation models. BSIC facilitates the enhancement of traceability, reliability, and interoperability between DT systems in the building industry. This paper presents the application of BSIC in a case study focused on earthquake-induced evacuation in a multi-story office building. Findings demonstrate BSIC's efficacy in aligning discrete-event (DE) and continuous-time (CT) simulations, enabling synchronized data flows, accurate event handling, and minimized integration errors.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"175 ","pages":"Article 106225"},"PeriodicalIF":9.6,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143891880","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

Optimizing BIM drawing element placement through reinforcement learning 通过强化学习优化BIM绘图元素放置

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-04-30 DOI: 10.1016/j.autcon.2025.106242

Yije Kim , Jeongjun Park , Jiyong Oh , Junghyun Bum , Sangyoon Chin

{"title":"Optimizing BIM drawing element placement through reinforcement learning","authors":"Yije Kim , Jeongjun Park , Jiyong Oh , Junghyun Bum , Sangyoon Chin","doi":"10.1016/j.autcon.2025.106242","DOIUrl":"10.1016/j.autcon.2025.106242","url":null,"abstract":"<div><div>Building information modeling (BIM) enhances communication in the architecture, engineering, and construction industry and automates drawing generation. However, optimizing the placement of drawing elements remains a challenge. This paper proposes a framework using proximal policy optimization to improve BIM drawing element placement, focusing on floor plan-type drawings in the construction documentation phase. Deep reinforcement learning ensures stable performance in high-dimensional, sparse-data environments. Experiments on a dataset of 150 drawings showed that the interference ratio among drawing elements converged to zero within 0.05 s to 5 min, improving readability. Compared with conventional BIM processes, the proposed framework reduced “element position adjustment” time and commands by 93.9 % and 94.3 %, respectively, leading to an overall reduction of 25 % in work time and 17.9 % in commands. These results validate the framework's effectiveness in improving productivity and reducing manual effort. It enhances readability, minimizes human errors, and allows designers to focus on essential tasks.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"175 ","pages":"Article 106242"},"PeriodicalIF":9.6,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143891881","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

Simulation as a decision-support tool in construction project management: Simphony-Dynamic-as-a-Service 模拟作为建设项目管理中的决策支持工具：模拟-动态即服务

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-04-30 DOI: 10.1016/j.autcon.2025.106198

Muhtasim Fuad Rafid , Stephen Hague , Simaan AbouRizk , Eleni Stroulia

{"title":"Simulation as a decision-support tool in construction project management: Simphony-Dynamic-as-a-Service","authors":"Muhtasim Fuad Rafid , Stephen Hague , Simaan AbouRizk , Eleni Stroulia","doi":"10.1016/j.autcon.2025.106198","DOIUrl":"10.1016/j.autcon.2025.106198","url":null,"abstract":"<div><div>Simulation can play a key role in construction project management, enabling decision-makers to forecast the impact of real-world events, alternative scheduling, and resource-allocation decisions. Such simulation-based forecasting can substantially inform project management but has not yet been widely adopted in the construction industry. This paper describes Simphony-Dynamic-as-a-Service, an advanced simulation tool that bridges the gap between simulation software and real-world construction practices. The contributions are the following: Re-architecting Simphony Dynamicinto a set of coordinated cloud-based micro-services. Grounding the construction project data in a well-defined project-modeling language — DiCon. Offering a variety of browser-accessible user interfaces, tailored to the needs of different stakeholders. Incorporating critical-path computation and comparisons to assist in identifying critical tasks and evaluating alternative schedules. The platform provides APIs for real-time project progress tracking, enhancing monitoring capabilities, and enabling model re-simulation from any point in time for exploring what-if scenarios and facilitating informed decision-making.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"175 ","pages":"Article 106198"},"PeriodicalIF":9.6,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143891796","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

AI-driven enhancement of customer-centric design for improved satisfaction and decision-making 人工智能驱动的以客户为中心的设计增强，以提高满意度和决策

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-04-30 DOI: 10.1016/j.autcon.2025.106220

Mehrshad Dorri , Soroush Hoseinpour , Mojtaba Maghrebi

{"title":"AI-driven enhancement of customer-centric design for improved satisfaction and decision-making","authors":"Mehrshad Dorri , Soroush Hoseinpour , Mojtaba Maghrebi","doi":"10.1016/j.autcon.2025.106220","DOIUrl":"10.1016/j.autcon.2025.106220","url":null,"abstract":"<div><div>Customer-centric design improves satisfaction by actively involving clients in the construction decision-making process. However, current Virtual Reality (VR) methods rely on manual processes, extensive human resources, and costly high-end hardware, restricting accessibility. This study proposes an AI-driven enhancement of customer-centric design in construction through an accessible smartphone-based VR platform integrated with an Intelligent Support System (ISS). The ISS employs an artificial neural network to predict customers' preferred design styles from user-uploaded images and utilizes the TOPSIS algorithm to rank design alternatives based on customer evaluations regarding cost, time, risk, and aesthetics. Selected designs are automatically communicated to the design team. A validation case study involving 30 construction industry participants indicated a satisfaction rate of 79 %, overall approval rating of 69 %, and an 80 % match between user-selected designs and ISS recommendations. The developed AI-driven VR platform effectively improves decision-making, customer satisfaction, and accessibility of customer-centric participation in construction.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"175 ","pages":"Article 106220"},"PeriodicalIF":9.6,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143891798","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

Pavement thickness evaluation using GPR and fuzzy logic 基于探地雷达和模糊逻辑的路面厚度评价

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-04-30 DOI: 10.1016/j.autcon.2025.106236

Ali Fares, Tarek Zayed, Nour Faris, Abdul-Mugis Yussif, Sherif Abdelkhalek

{"title":"Pavement thickness evaluation using GPR and fuzzy logic","authors":"Ali Fares, Tarek Zayed, Nour Faris, Abdul-Mugis Yussif, Sherif Abdelkhalek","doi":"10.1016/j.autcon.2025.106236","DOIUrl":"10.1016/j.autcon.2025.106236","url":null,"abstract":"<div><div>Accurate pavement thickness evaluation is essential, as insufficient thickness can lead to surface distress and structural failures. However, pavement thickness is often overlooked in condition assessment models. While ground penetrating radar (GPR) offers a useful non-destructive solution, existing models are typically limited to surface layers and require significant user input. To address these challenges, this paper developed an integrated layer interface detection system and a Thickness Condition Index (TCI) using GPR and fuzzy logic. The TCI is designed to support the incorporation of thickness evaluation into pavement condition models. The developed models were tested on twelve diverse road sections from the Long-Term Pavement Performance (LTPP) database. The developed TCI enables informed decisions, facilitating efficient pavement maintenance. While the models demonstrated consistent performance, key limitations include addressing low-thickness layers and low dielectric constant contrast between layers. Future research should explore signal processing techniques, such as decomposition methods, to enhance models robustness.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"175 ","pages":"Article 106236"},"PeriodicalIF":9.6,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143891797","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