Automation in Construction最新文献

3D measurement of dynamic structures using monocular camera 单目相机动态结构的三维测量

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-05-06 DOI: 10.1016/j.autcon.2025.106240

Ken Kobayashi, Takashi Fuse

引用次数: 0

Large language model-based agent Schema and library for automated building energy analysis and modeling 基于大型语言模型的智能体架构和库，用于自动化建筑能源分析和建模

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-05-05 DOI: 10.1016/j.autcon.2025.106244

Liang Zhang , Xiaoqin Fu , Yanfei Li , Jianli Chen

引用次数: 0

Assessment of construction workers' fall-from-height risk using multi-physiological data and virtual reality 基于多生理数据和虚拟现实的建筑工人高空坠落风险评估

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-05-05 DOI: 10.1016/j.autcon.2025.106254

Francis Xavier Duorinaah , Samuel Oluwadamilare Olatunbosun , Jeong-Hun Won , Hung-Lin Chi , Min-Koo Kim

{"title":"Assessment of construction workers' fall-from-height risk using multi-physiological data and virtual reality","authors":"Francis Xavier Duorinaah , Samuel Oluwadamilare Olatunbosun , Jeong-Hun Won , Hung-Lin Chi , Min-Koo Kim","doi":"10.1016/j.autcon.2025.106254","DOIUrl":"10.1016/j.autcon.2025.106254","url":null,"abstract":"<div><div>Efficient identification of at-risk construction workers is crucial for reducing fall-from-height (FFH) accidents. However, current methods of evaluating worker FFH risk rely on manual inspections, which are ineffective because of the complex nature of construction sites. To address this issue, this paper presents a technique for FFH risk assessment using physiological data. A virtual reality experiment with three FFH risk scenarios was conducted, during which four categories of physiological data were recorded. Using the physiological data and machine learning algorithms, FFH risk classification models were developed. Three key findings are as follows. (1) All four physiological metrics showed significant changes in response to varying FFH risk levels (2) EEG was the most effective physiological metric for FFH risk assessment, achieving a test accuracy of 0.924 (3) Combining all four physiological categories provided the highest accuracy of 0.998. The findings demonstrate the feasibility of using physiological signals for effective FFH risk assessment.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"176 ","pages":"Article 106254"},"PeriodicalIF":9.6,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143906968","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

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

Prompts to layouts: Hybrid graph neural network and agent-based model for generative architectural design 布局提示：生成式建筑设计的混合图神经网络和基于代理的模型

IF 9.6 1区工程技术

Automation in Construction Pub Date : 2025-05-05 DOI: 10.1016/j.autcon.2025.106253

Yangpeng Xin, Ying Zhou, Yuanyuan Liu

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