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Ahmadi, S Y; Lather, J I; Wittich, C E; Madson, K (2025) Current and future trends for resilient inland waterway transportation systems during flood disruptions. Journal of Construction Engineering and Management, 151(6).
Chammout, B; El-Adaway, I H (2025) Circular economy in construction: Decision-making factors and future research avenues. Journal of Construction Engineering and Management, 151(6).
Chen, G; Yan, Z; Hao, Y; Li, Q; Tian, Y (2025) BIM value creation through collaboration in construction projects: An empirical model with multiple collaborative behaviors. Journal of Construction Engineering and Management, 151(6).
Ejidike, C C; Mewomo, M C; Olawumi, T O; Wang, S; Buniya, M K (2025) Barriers to the adoption of smart building technology in developing countries: An empirical survey. Journal of Construction Engineering and Management, 151(6).
Ghosh, B; Karmakar, S (2025) Development and application of a digitalized construction quality document management system for advanced construction using building information modeling. Journal of Construction Engineering and Management, 151(6).
Guha, P; Kar, S; Jha, K N (2025) A framework to assess leadership quality of construction leaders. Journal of Construction Engineering and Management, 151(6).
Jin, H; Chan, M; Bai, Y (2025) Joint optimization of critical concession parameters for sustainable PPP contracts. Journal of Construction Engineering and Management, 151(6).
Karam, A H (2003) Marketing and architects in South Africa. Engineering, Construction and Architectural Management, 10(6), 402–12.
Liao, L; Gan, C; Yang, J; Liang, Y (2025) Impacts of safety capacity and personalized safety training on construction workers' hazard recognition using eye-tracking technology. Journal of Construction Engineering and Management, 151(6).
Ling, F Y Y; Sim, W X L (2025) Mediating role of vocational interest in the relationship between personality and job satisfaction: Insights from cost engineers. Journal of Construction Engineering and Management, 151(6).
Liu, J; Li, J; Guo, D; Cui, Q; Yang, L; Wu, H (2025) Reliability evaluation of a shield tunnel waterproofing system in the life cycle stage based on a combination weighting method and cloud model. Journal of Construction Engineering and Management, 151(6).
Liu, J; Li, W; Li, F; Zhao, X (2025) Chinese named entity recognition for bridge damage and defects based on text mining and natural language pretraining models. Journal of Construction Engineering and Management, 151(6).
- Type: Journal Article
- Keywords: bridge damage; bridge inspection; name entity recognition; natural language processing; pretraining model
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/JCEMD4.COENG-16019
- Abstract:
Bridge inspection reports are a vital source of data for bridge management and maintenance, encompassing essential structural information indispensable for damage evaluation and decision-making. However, in the process of automatically extracting unstructured textual data and identifying damage entities, because the same type of bridge damage entity often corresponds to multiple structural components, and strong correlations along with prominent nested features exist among entities, general named entity recognition (NER) methods have limited effectiveness. To address these issues, this study introduces a novel method for NER of damage and defects in bridge inspection, leveraging text mining and pretrained natural language models. First, the study constructs a specialized corpus of bridge damage and defects from a large number of bridge inspection reports, and fine-grained entity annotations are performed on sentences describing damage and defects. Next, the study proposes an advanced bridge damage entity recognition model, which integrates pretrained natural language models with deep learning models. The model leverages the Bidirectional Encoder Representations from Transformers (BERT) pretrained model to extract vector features from Chinese characters in damage-related sentences. It then utilizes a bidirectional long short-term memory (BiLSTM) network to capture sequential patterns of multitype entity labels. Finally, it integrates conditional random fields (CRF) to enforce label constraints, generating the optimal label sequence. The model is validated through experiments using the constructed Chinese bridge inspection damage and defect named entity corpus. Experimental results demonstrate that the model proposed in this study surpasses other mainstream NER models, achieving an F1 score of 98.31% and successfully identifying seven categories of fine-grained bridge damage entities. This study not only enhances the automation of extracting information from damage-related bridge inspection text sentences but also establishes a solid foundation for building knowledge graphs in the bridge domain, advancing the development of intelligent bridge management.
Müller, C C; Elzomor, M (2025) Fostering a sustainable built environment by preparing a construction engineering workforce with sustainability key performance indicators. Journal of Construction Engineering and Management, 151(6).
Mehdipoor, A; Iordanova, I; Al-Hussein, M (2025) Enhancing the manufacturing process in light-gauge steel off-site construction using semiautomation. Journal of Construction Engineering and Management, 151(6).
Mohammadi, P; Asgari, S; Rashidi, A; Alder, R (2025) Culvert inspection framework using hybrid xgboost and risk-based prioritization: Utah case study. Journal of Construction Engineering and Management, 151(6).
Mollaei, A; Bachmann, C; Haas, C (2025) Evaluating the potential impact of building design strategies on material recovery during deconstruction. Journal of Construction Engineering and Management, 151(6).
Palaneeswaran, E, Kumaraswamy, M and Ng, T (2003) Targeting optimum value in public sector projects through "best value"-focused contractor selection. Engineering, Construction and Architectural Management, 10(6), 418–31.
Radzi, A R; Azmi, N F; Kamaruzzaman, S N; Rahman, R A (2025) Modeling the critical assessment criteria for construction readiness of BIM-based projects: PLS-SEM approach. Journal of Construction Engineering and Management, 151(6).
Salary, S; Reyes, M (2025) Identifying the impact of preconstruction elements on project budget. Journal of Construction Engineering and Management, 151(6).
Salem, M; Abdullah, M S; Islam, M S; Said, S O (2025) Subcontractors' BIM deployment in large-scale construction projects in the mena region. Journal of Construction Engineering and Management, 151(6).
Shehadeh, A; Alshboul, O; Tamimi, M (2025) Quantitative analysis of climate-adaptive pavement technologies: Mitigating environmental impact and enhancing economic viability in urban infrastructure. Journal of Construction Engineering and Management, 151(6).
Shin, Y J; Farrokh, E; Jung, J; Kang, H (2025) Optimizing tunnel boring machine operations in real time within defined constraints. Journal of Construction Engineering and Management, 151(6).
Sun, J; Murphy, M R; Hazlett, D G; Shuai, C; Gao, L (2025) Simulation-based framework for predicting construction workforce demand: A comparative analysis with multivariate LSTM-based seq2seq model. Journal of Construction Engineering and Management, 151(6).
Utkucu, D; Sözer, H (2025) Modeling a mixed-mode cooling system with correlation to operable building facade openings: Mathematical logic integration of computational fluid dynamics and energy models. Journal of Construction Engineering and Management, 151(6).
Wang, P; Wang, K; Huang, Y; Fenn, P (2025) Probability, formation, and prediction of large-size construction cost overruns governed by a power-law distribution. Journal of Construction Engineering and Management, 151(6).
Wang, R; Gong, D (2025) Abnormal behavior recognition algorithm in small sample scenarios for a utility tunnel project based on dcgan. Journal of Construction Engineering and Management, 151(6).
Yang, X; Wang, S; Jiang, Y; Wang, L; Li, P; Wang, S (2025) Theoretical and experimental analysis of stress variations in precast concrete segment linings during double-shield TBM excavation of subway tunnels. Journal of Construction Engineering and Management, 151(6).
Yao, Z; Chen, Z; Lee, Y (2025) A construction site layout planning study for dust reduction. Journal of Construction Engineering and Management, 151(6).
Zhan, H; Hwang, B G; Jabbar, S B B A (2025) An integrated approach to assessing digitalization of integrated digital delivery projects. Journal of Construction Engineering and Management, 151(6).
Zhang, M; Liu, X; Li, Y (2025) Identity-based proactive human intrusion management in hazardous areas at construction sites: A deep learning-based method. Journal of Construction Engineering and Management, 151(6).
Zong, Z; Su, S; Diao, L; Ou, Y; Long, T (2025) Relationship between perceived occupational stigma and safety behavior of construction workers: Moderated mediation model. Journal of Construction Engineering and Management, 151(6).