ISSUE 02WEDNESDAY, JUNE 3, 2026PRINT 06.2026

GEOMDIGEST

THE INSIDER PUBLICATION FOR COMPUTATIONAL GEOMETRY & DESIGN

Knowledge Graph

Paper Index

Search computational fabrication papers, source venues, authors, implementations, and code availability from the GEOMDIGEST knowledge graph.

1,417Papers
102,687Citations
1Artifacts
Corpus Strata
Venue / year coverage instrument
Lime height = indexed papersOrange mark = citation concentrationClick any cell to filter
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40 indexed papers
Transfer learning for intelligent design of lightweight Strain-Hardening Ultra-High-Performance Concrete (SH-UHPC)
2025 / Automation in Construction / 59 citations
No code
Yixin Zhang, Qiao Zhang, Ling-Yu Xu, Wei Hou, Y.Y. Miao, and 2 more
Rapid post-disaster infrastructure damage characterisation using remote sensing and deep learning technologies: A tiered approach
2025 / Automation in Construction / 41 citations
No code
Nadiia Kopiika, Andreas Karavias, Pavlos Krassakis, Zehao Ye, Jelena Ninić, and 3 more

Critical infrastructure is vital for connectivity and economic growth but faces systemic threats from human-induced damage, climate change and natural disasters. Rapid, multi-scale damage assessments are essential, yet integrated, automated methodologies remai...

Hybrid-Segmentor: Hybrid approach for automated fine-grained crack segmentation in civil infrastructure
2025 / Automation in Construction / 40 citations
No code
June Moh Goo, Xenios Milidonis, Alessandro Artusi, J. Boehm, Carlo Ciliberto

It is essential to detect and segment cracks in various infrastructures, such as roads and buildings, to ensure safety, longevity, and cost-effective maintenance. Despite deep learning advancements, precise crack detection across diverse conditions remains cha...

Land surveying with UAV photogrammetry and LiDAR for optimal building planning
2025 / Automation in Construction / 38 citations
No code
Paul Sestraș, Gheorghe Badea, Ana Cornelia Badea, Tudor Sălăgean, Sanda Roșca, and 2 more

Accurate land surveys are fundamental for optimal building planning, as topography bridges architecture and landscape. This paper proposes a Digital Feature Model (DFM) that integrates UAV photogrammetry and LiDAR data to optimize terrain mapping. UAV photogra...

Drone-based bridge inspections: Current practices and future directions
2025 / Automation in Construction / 36 citations
No code
Tommaso Panigati, Mattia Zini, Domenico Striccoli, Pier Francesco Giordano, Daniel Tonelli, and 2 more

As transportation infrastructure networks continue to age, bridges have become critical components requiring monitoring activities to ensure safety and functionality. Inspections and Structural Health Monitoring (SHM) play a vital role in aiding decision-maker...

Intelligent siltation diagnosis for drainage pipelines using weak-form analysis and theory-guided neural networks in geo-infrastructure
2025 / Automation in Construction / 34 citations
No code
Danyang Di, Yu Bai, Hongyuan Fang, Bin Sun, Niannian Wang, and 1 more
Explainable data-driven analysis of uncertainty propagation in 3D concrete printing via adaptive polynomial chaos expansion
2025 / Automation in Construction / 33 citations
No code
Baixi Chen, Xiaoping Qian
Aggregate-level 3D analysis of asphalt pavement deterioration using laser scanning and vision transformer
2025 / Automation in Construction / 29 citations
No code
Yishun Li, Chenglong Liu, Zihang Weng, Difei Wu, Yuchuan Du
Real-time defect detection in underground sewage pipelines using an improved YOLOv5 model
2025 / Automation in Construction / 29 citations
No code
Jingyi Lu, Wenjie Song, Yuxuan Zhang, Xianfei Yin, Shunyi Zhao

Sewer systems are critical to smart city infrastructure, but conventional pipeline inspection methods cause high costs and inefficiency. This paper presents a real-time detection method for pipeline defects based on an improved you only look once version 5 (YO...

Artificial intelligence-enhanced non-destructive defect detection for civil infrastructure
2025 / Automation in Construction / 29 citations
No code
Yong‐Wei Zhang, Cheuk Lun Chow, Denvid Lau

As civil engineering projects become more complex, ensuring the integrity of infrastructure is essential. Traditional inspection methods may damage structures, highlighting the need for non-destructive testing. However, conventional non-destructive methods inv...

BIM, IoT, and GIS integration in construction resource monitoring
2025 / Automation in Construction / 29 citations
No code
Xiangyang Liu, Maxwell Fordjour Antwi‐Afari, Jue Li, Yongcheng Zhang, Patrick Manu

In recent years, the advancement of digital technologies such as building information modeling (BIM), internet of things (IoT), and geographic information system (GIS) has had many impacts on the construction industry. However, limited research has been conduc...

Digital twin construction with a focus on human twin interfaces
2025 / Automation in Construction / 27 citations
No code
Ranjith K. Soman, Karim Farghaly, Grant Mills, Jennifer Whyte

Despite the growing emphasis on digital twins in construction, there is limited understanding of how to enable effective human interaction with these systems, limiting their potential to augment decision-making. This paper investigates the research question: “...

AI in automated sustainable construction engineering management
2025 / Automation in Construction / 27 citations
No code
Haytham H. Elmousalami, Mina Maxy, Felix Kin Peng Hui, Lu Aye
Automated detection of underwater dam damage using remotely operated vehicles and deep learning technologies
2025 / Automation in Construction / 27 citations
No code
Fei Kang, Ben Huang, Gang Wan
Digital twin model for analyzing deformation and seepage in high earth-rock dams
2025 / Automation in Construction / 27 citations
No code
Jichen Tian, Ruili Yu, Jiankang Chen, Chen Chen, Yanling Li, and 2 more
Generative AI in architectural design: Application, data, and evaluation methods
2025 / Automation in Construction / 27 citations
No code
Suhyung Jang, Hyunsung Roh, Ghang Lee
Large language model-empowered paradigm for automated geotechnical site planning and geological characterization
2025 / Automation in Construction / 25 citations
No code
Ze-Hang Qian, Chao Shi
UAV-based deep learning applications for automated inspection of civil infrastructure
2025 / Automation in Construction / 25 citations
No code
Chen Lyu, Shaoqian Lin, Angus Lynch, Yang Zou, Minas Liarokapis

Modern technologies such as Unmanned Aerial Vehicle (UAV)-based inspection and deep learning (DL) algorithms introduce new opportunities and challenges in Civil Engineering. To better facilitate the adoption and advancement of UAV-based detection technologies,...

Crack image classification and information extraction in steel bridges using multimodal large language models
2025 / Automation in Construction / 25 citations
No code
Xiaodong Wang, Qingrui Yue, Xiaogang Liu
Automating construction contract review using knowledge graph-enhanced large language models
2025 / Automation in Construction / 24 citations
No code
Chunmo Zheng, Saika Wong, Xing Su, Yinqiu Tang, Ahsan Nawaz, and 1 more
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