{"title":"Automated rule-based safety inspection and compliance checking of temporary guardrail systems in construction","authors":"K.W. Johansen , J. Teizer , C. Schultz","doi":"10.1016/j.autcon.2024.105849","DOIUrl":"10.1016/j.autcon.2024.105849","url":null,"abstract":"<div><div>The construction industry records more hazards compared to any other sector. Protective equipment, such as guardrail systems, is essential for protecting workers from deadly falls but may quickly become incompliant after installation. Yet, many construction projects do not have the resources to dedicate personnel to perform the inspection as frequently as needed. Therefore, this paper proposes an automated rule-based inspection and compliance-checking system that can assist the responsible personnel in detecting faulty guardrails in live work environments. The classification approach utilizes safety design and mimics the steps of human guardrailing compliance assessment, which enforces simplicity and transparency, allowing the human domain expert to remain in control. Even under scarce data availability, this first-of-a-kind classification approach is reliable and scalable and successfully classifies 21 predefined and 9 validation scenarios of guardrail systems for fall protection.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105849"},"PeriodicalIF":9.6,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142684182","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}
{"title":"3D Pixelwise damage mapping using a deep attention based modified Nerfacto","authors":"Geontae Kim, Youngjin Cha","doi":"10.1016/j.autcon.2024.105878","DOIUrl":"10.1016/j.autcon.2024.105878","url":null,"abstract":"<div><div>Recent advancements in structural health monitoring have highlighted the necessity for accurate three-dimensional (3D) damage mapping on digital twins, moving beyond traditional methods such as photogrammetry, which frequently struggle to capture intricate planar surfaces. To address this limitation, this paper proposes a new advanced 3D reconstruction method and its integration with 3D damage mapping techniques. As the 3D reconstruction method, an Attention-based Modified Nerfacto (ABM-Nerfacto) model is developed, and is integrated with an advanced damage segmentation method. Using a three-span continuous bridge with concrete piers as an example structure, and concrete cracks as the example damage, the state-of-the-art STRNet is utilized for crack segmentation. Through extensive parametric studies and comparative evaluations, the proposed ABM-Nerfacto model was demonstrated to produce high-quality 3D reconstructions and corresponding damage mappings for this bridge system. This integrated approach provides a promising solution for comprehensive 3D digital twin-based structural health monitoring.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105878"},"PeriodicalIF":9.6,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142684188","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}
Sehwan Chung , Jungyeon Kim , Joonwoo Baik , Seokho Chi , Du Yon Kim
{"title":"Identifying issues in international construction projects from news text using pre-trained models and clustering","authors":"Sehwan Chung , Jungyeon Kim , Joonwoo Baik , Seokho Chi , Du Yon Kim","doi":"10.1016/j.autcon.2024.105875","DOIUrl":"10.1016/j.autcon.2024.105875","url":null,"abstract":"<div><div>The uncontrollable nature of international construction projects requires continuous monitoring of issues in the host country. News articles can provide relevant information to monitor the issues, but the manual investigation of substantial news text is impractical. This paper proposes a framework to automatically collect information related to the host country's business environments from news text, consisting of three modules: (1) web scraping for collecting news text; (2) text embedding using a pre-trained language model; and (3) text clustering for extracting essential issues. Applying this framework to real-world news demonstrated its proficiency in identifying significant issues, outperforming the existing similar methods in terms of: (1) the accuracy of issue identification; (2) the quality of identified issues; and (3) the degree of human intervention. This paper contributes to the body of knowledge by showcasing the utility of news text in gathering information and identifying issues about the host country during international projects.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105875"},"PeriodicalIF":9.6,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142684229","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}
Anja Kunic, Davide Angeletti, Giuseppe Marrone, Roberto Naboni
{"title":"Design and construction automation of reconfigurable timber slabs","authors":"Anja Kunic, Davide Angeletti, Giuseppe Marrone, Roberto Naboni","doi":"10.1016/j.autcon.2024.105872","DOIUrl":"10.1016/j.autcon.2024.105872","url":null,"abstract":"<div><div>Structural adaptivity and readiness for change are some of the key enablers of resilient and sustainable architecture. This paper presents an approach to the design and construction of reconfigurable timber slabs, termed ReconWood Slabs, which integrate a stress-driven design approach and cyber-physical construction processes to enhance data-informed circularity. Using advanced computational design tools, the research outlines a workflow for generating optimised slab configurations that balance structural performance with material reusability. The slabs, composed of modular beams connected via reversible steel fasteners, are designed for easy disassembly and reconfiguration, promoting material reuse across multiple building lifecycles. The paper demonstrates the system's potential through the construction of three slab structures employing Mixed Reality for material data tracking and assembly. The three structures store nearly a ton of CO2eq in reusable parts.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105872"},"PeriodicalIF":9.6,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652728","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}
Yun Chen , Gengyang Lu , Ke Wang , Shu Chen , Chenfei Duan
{"title":"Knowledge graph for safety management standards of water conservancy construction engineering","authors":"Yun Chen , Gengyang Lu , Ke Wang , Shu Chen , Chenfei Duan","doi":"10.1016/j.autcon.2024.105873","DOIUrl":"10.1016/j.autcon.2024.105873","url":null,"abstract":"<div><div>With the increasing demand for water conservancy engineering (WCE), the number of safety accidents during construction has continued to rise, requiring an urgent improvement in construction safety. The existing safety management regulations for water conservancy construction engineering (WCCE) comprise a considerable amount of text, with cross-references between different standards severely reducing their use efficiency. To address this issue, this paper proposes an ALBERT-BiLSTM-CRF model based on textual data from WCCE safety management standards. ALBERT, a lightweight pretrained language model, is integrated with the BiLSTM-CRF to construct an intelligent text entity recognition method. Association rules are used to extract entity relationships, and a knowledge graph representing the WCCE safety management standards is established. The results show that the ALBERT-BiLSTM-CRF algorithm improves the precision, with a recognition accuracy exceeding 85 %. Case studies validate that the constructed knowledge graph can quickly query safety standard knowledge, aiding in the generation of safety measures.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105873"},"PeriodicalIF":9.6,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652729","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}
Yaxian Dong , Yuqing Hu , Shuai Li , Jiannan Cai , Zhu Han
{"title":"BIM-blockchain integrated automatic asset tracking and delay propagation analysis for prefabricated construction projects","authors":"Yaxian Dong , Yuqing Hu , Shuai Li , Jiannan Cai , Zhu Han","doi":"10.1016/j.autcon.2024.105854","DOIUrl":"10.1016/j.autcon.2024.105854","url":null,"abstract":"<div><div>Asset tracking is crucial for managing prefabricated construction projects, as delayed deliveries might disrupt interdependent offsite and onsite activities, causing economic losses and disputes. To clarify liabilities, tamperproof asset tracking and delay propagation analysis are necessary. To achieve this, a BIM-blockchain integrated framework via smart contracts is proposed given rich information in BIM and blockchain's immutable records. First, asset information and interdependent activity schedule are automatically transmitted from BIM to blockchain. Then, QR codes are generated and attached to physical assets for tracking. If any delays, compiled smart contracts will automatically derive propagated impacts on offsite and onsite activities considering their interdependencies and proactively notify relevant parties. Affected activities with assets, certification time, and responsible parties are automatically visualized in 4D BIM for timely collaboration. The developed IFC-Ethereum prototype demonstrates the framework's feasibility and effectiveness, reducing coordination overhead costs and time. Traceable records help further calculate parties' penalties and compensation.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105854"},"PeriodicalIF":9.6,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652808","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}
Atena Karbalaei Mohammad Hossein, Amir Golroo, Medya Akhoundzadeh
{"title":"Smart embedded technologies and materials for enhanced pavement management","authors":"Atena Karbalaei Mohammad Hossein, Amir Golroo, Medya Akhoundzadeh","doi":"10.1016/j.autcon.2024.105865","DOIUrl":"10.1016/j.autcon.2024.105865","url":null,"abstract":"<div><div>The integration of smart technologies is set to revolutionize pavement data collection and analysis, leading to more efficient decision-making in Pavement Management Systems (PMS). Smart pavements, featuring embedded sensors, offer continuous streams of high-quality real-time data, enhancing the PMS data analysis process. This paper provides a detailed examination of these embedded smart systems, discussing their technologies, applications, and potential impacts on pavement management. The study highlights the role of smart materials in pavement engineering, offering self-sensing, self-healing, and energy-harvesting capabilities. It investigates sensor technologies for monitoring pavement conditions, focusing on both on-surface and below-surface sensors for comprehensive data collection. Future research directions emphasize advanced data management systems, sensor durability enhancement, economic modeling, standardization efforts, energy-efficient technologies, and pilot programs for real-world testing. This research provides insights into smart pavement advancements and challenges, paving the way for improved road infrastructure efficiency and sustainability.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105865"},"PeriodicalIF":9.6,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142637388","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}
Tengchao Huang , Xuanwei Chen , Huosheng Hu , Shuang Song , Guifang Shao , Qingyuan Zhu
{"title":"Terrain-adaptive motion planner for articulated construction vehicles in unstructured environments","authors":"Tengchao Huang , Xuanwei Chen , Huosheng Hu , Shuang Song , Guifang Shao , Qingyuan Zhu","doi":"10.1016/j.autcon.2024.105864","DOIUrl":"10.1016/j.autcon.2024.105864","url":null,"abstract":"<div><div>In this paper, a terrain-adaptive motion planner is developed specifically for articulated construction vehicles (ACVs) to address instability issues caused by elevation changes on unstructured construction sites—challenges that traditional 2D motion planners struggle to manage effectively. The proposed planner adopts a modular framework, incorporating a terrain elevation model, an articulated vehicle kinematic model, and a posture response model. These models collaboratively capture the dynamic interactions between the vehicle and the terrain. The planner utilizes a multi-objective evaluation function to enhance the vehicle's 3D motion stability, especially in challenging terrains. By considering real-time vehicle-terrain interactions, this function estimates and optimizes the vehicle's stability. The planner's effectiveness is validated through field tests with a scaled-down ACV prototype, demonstrating significant improvements in stability and confirming its potential for practical application on unstructured terrains.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105864"},"PeriodicalIF":9.6,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142637450","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}
Raobo Li , Shu Gan , Xiping Yuan , Rui Bi , Weidong Luo , Cheng Chen , Zhifu Zhu
{"title":"Automatic registration of large-scale building point clouds with high outlier rates","authors":"Raobo Li , Shu Gan , Xiping Yuan , Rui Bi , Weidong Luo , Cheng Chen , Zhifu Zhu","doi":"10.1016/j.autcon.2024.105870","DOIUrl":"10.1016/j.autcon.2024.105870","url":null,"abstract":"<div><div>Point cloud registration plays a crucial role in processing large-scale building point cloud data. However, existing registration algorithms face challenges in effectively handling outliers in descriptor-based correspondence. This paper presents an automatic registration method for large-scale building point clouds that is capable of achieving swift and accurate registration without the need for initial guessing. The method employs a two-step matching optimization approach: coarse (two-point)-to-fine (three-point), selecting matches based on two-point reliability and three-point consistency. Spatial transformation parameters are broken down into rotations and translations. A progressively optimized kernel function is proposed for estimating rotation, while a clustering confidence algorithm computes translation. Comprehensive experiments were conducted using real-world data. The results indicate that the approach swiftly and accurately estimates optimal outcomes when processing large-scale building point clouds with outlier rates up to 99%. Compared to six existing registration methods, the proposed approach reduces rotation error by 6.15% and translation error by 12.83%, while improving efficiency by 2.57%.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105870"},"PeriodicalIF":9.6,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142637386","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}
{"title":"Procedural modeling of historic buildings' timber frames for HBIM based on carpenters' architectural rules","authors":"Feng Xu, Yexin Zou, Yangwenzhao Li","doi":"10.1016/j.autcon.2024.105862","DOIUrl":"10.1016/j.autcon.2024.105862","url":null,"abstract":"<div><div>The inherent complexity of historic buildings, particularly their internal structures, presents significant challenges to the efficiency of digital model creation. This paper aims to enhance modeling efficiency by automating the creation of timber frames using a procedural modeling method. It translates the architectural rules used by local carpenters into modeling rules for procedural modeling, allowing for the automatic generation of a digital model that closely resembles the actual timber frame with a few simple constraints. While some manual identification and correction are still necessary, the workload is significantly reduced compared to traditional methods, and the precision meets the requirements of HBIM. The results show that this approach greatly improves the efficiency of modeling large-scale historic buildings and serves as a valuable complement to traditional HBIM methods. Future research will focus on enhancing the integrity and diversity of the models, such as expanding the range of supported traditional building types.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"168 ","pages":"Article 105862"},"PeriodicalIF":9.6,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142637406","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}