Vol.40/No.3 (157) (2025)
Title | Defect Recognition and Quantification of Bridge Structures Based on Artificial Intelligence |
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Author | Kuan Yen, Chia-Ming Chang, Jen-Yu Han, Chin-Rou Hsu |
Keywords | unmanned aerial vehicles (UAV), computer vision, deep learning, ultra-wideband (UWB), 3D reconstruction |
Abstract | Bridges are critical transportation links requiring regular inspections to ensure safety. However, inspections face challenges in complex environments, especially for large spans where global navigation satellite system (GNSS) signals are weak. With advances in intelligent technology, unmanned aerial vehicles (UAV) combined with deep learning are increasingly applied to bridge inspection, yet existing studies lack a complete, validated workflow for such conditions. This study proposes an integrated intelligent bridge inspection framework. UAV capture high-resolution images of key structural components, while the Mask R-CNN (region based convolutional neural networks) deep learning model automatically detects and evaluates deterioration. To address weak GNSS signals, ultra-wideband (UWB) and real-time kinematic (RTK) positioning with two-way ranging (TWR) are combined, achieving sub-0.1 m accuracy under bridges. Mask R-CNN, trained on extensive bridge deterioration datasets, reached an accuracy of 0.74 and recall of 0.83, effectively identifying cracks, spalling, exposed rebar, and seepage. Detection results are integrated with the DER&U rating method and 3D reconstruction to generate point cloud models and objective assessment criteria, reducing subjectivity. Two operational bridges were inspected as demonstration sites. Compared with manual visual inspection, the proposed approach provided more comprehensive deterioration data and wider inspection coverage (e.g., cap beams, main beams). The deep learning results improved the clarity, objectivity, and traceability of evaluations. This framework offers a practical and scalable solution for advanced bridge inspection. |
Title | Seismic Reinforcement, Earthquake Monitoring and AI Monitoring Construction of Zhiqing Building of the Ministry of Labor |
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Author | Ting-Wei Hsu, Yi-Hao Lin, Yi-Ching Lin, Nan-Jiao Lin |
Keywords | seismic reinforcement, steel damper wall (SDW), earthquake monitoring, AI monitoring |
Abstract | The Zhiqing Building is 3 floors in the basement,14 floors above ground of the reinforced concrete building. The result of seismic detailed evaluation show that was not enough in the seismic resistance, and it was need to retrofit in structure. The retrofit design executed by the Top technic engineering consultant Co., Ltd. The retrofit method used the steel damper wall (SDW). In reinforcement project for this building, to use artificial intelligence (AI) monitoring system could monitor the workers and everywhere immediately on the construction sites, and ensure worker’s personal safety. Build a cloud-based quality management system. Implement occupational safety and quality to ensure that projects are completed with quality and on schedule. To understand the possible seismic response of this building after retrofit, it’s first time to use that combine the seismic reinforcement with the technology of the earthquake monitoring and AI monitoring construction in the old building retrofit. The earthquake monitoring system including the active monitoring device and monitoring platform. It could show the monitoring feedback result in the platform in immediately, and create earthquake event reports in the cloud. Earthquake monitoring and AI monitoring system can effectively control the performance and damage degree of the SDW. It’s help that maintenance and management and confirms the effectiveness of retrofit in future. |
Title | Bridge Safety Monitoring System of Kinmen Bridge |
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Author | Chin-Kuo Huang, Hsin-Chu Tsai, Li-Ting Chung |
Keywords | frequency domain decomposition, equivalent simply supported tensioned beam method, two-frequency approach method, bridge health monitoring and management platform |
Abstract | The Kinmen Bridge is located in Kinmen County, with two ends connecting Kinmen Island on the east side and Lieyu Island on the west side. The total length of the Kinmen bridge is 5.4 kilometers, and the length of the bridge section is 4.77 kilometers. The bridge is divided into a main bridge section, a side bridge section, and an approach bridge section. The main bridge section is a 6-span 5-tower cable stayed bridge with a length of 1,050 meters. The side spans on both end is 125 meters, and the span of the middle 4 main span is 200 meters. Due to its location in a severe marine corrosion environment, the maintenance and upkeep conditions of the Kinmen Bridge are quite strict. To enhance pedestrian safety and maximize sightseeing benefits, a bridge safety monitoring system is gradually established during the bridge construction period. The safety monitoring system of Kinmen Bridge includes three parts: dynamic monitoring system, static monitoring system, and network transmission system. The dynamic monitoring system is primarily used for monitoring cable tension, while the static monitoring system is divided into two parts. The first part monitors the behavior of the structural, including the strain of the cross section, the temperature of the concrete, the displacement of expansion joints, the inclination angle of the bridge tower, etc; The second part is about the environmental factors of the site, including atmospheric temperature, humidity, wind speed, wind direction, and so on. The network transmission system mainly connects dynamic and static systems, allowing data streams to be transmitted smoothly, stored in real-time, and transmitted to remote monitoring platforms. At the end of the article, a comparative analysis was conducted between monitoring data during regular and typhoon to explore the influence of environmental factors on the tension of cables. |
Title | Field Inspection and Seismic Analysis of Nansi Junior High School Building After the Chiayi Earthquake of 21 January 2025 |
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Author | Jui-Liang Lin, Chung-Chun Ma, Jyun-Yan Huang, Ming-Chieh Chuang |
Keywords | 0121 Chiayi earthquake, earthquake damage inspection, Nansi Junior High School, seismic assessment and retrofit, near-fault pulse-like ground motions, power demand |
Abstract | At 0:17:27 AM on January 21, 2025 (UTC+8), an earthquake with a magnitude of ML 6.4 occurred in Dapu Township, Chiayi County. The epicenter was located at 23.22 degrees north latitude and 120.55 degrees east longitude. The focal depth was 15.8 kilometers. The maximum intensity of 6- occurred in Dapu, Chiayi County. The National Center for Research on Earthquake Engineering conducted earthquake damage surveys on buildings in Nansi District, Tainan City, Yujing District, Tainan City, and Dapu Township, Chiayi County on February 7, 8, and 10, respectively. Among the damaged buildings inspected, the front building of Nanxi Junior High School is more than 50 years old and was seismically retrofitted in 2010. The retrofit method used included adding shear walls on the outside of the corridor. This study conducted further seismic response analyses of the school building. The study aimed at exploring the force transmission mechanism between the added shear wall on the outside of corridor and the existing frame. It is hoped that this study will illustrate the damage to the school building discovered during the field inspection and provide an understanding of the school building’s performance during this earthquake event. This study recommended that when typical primary and secondary school buildings adopt the retrofitting method of adding shear walls on the outside of corridors, the maximum distance between one shear wall and the next should not exceed 30 meters. If only a single shear wall is added, its location should preferably be in the middle of the corridor. Finally, by examining the power demand of the retrofitted school building, the reasons why the pulse-like ground motion CHY062 and the non pulse-like ground motion CHY079 caused significantly different seismic demands of the retrofitted school building are explained. |
Title | Novel Technique for Modeling the Transmitting Boundary of Two-Dimensional Rectangular Soil Using Simply Supported Beams |
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Author | Chen-Hsiang Kuo, Wen-Chia Yang |
Keywords | nonlinear soil-structure interaction, semi-infinite domain, seismic wave propagation, boundary beam boundary, finite-element method |
Abstract | In finite element simulations of two-dimensional soil-structure interaction problems, accurately modeling the transmitting boundary of the soil remains a significant challenge. To address this issue, this study proposes a novel technique that simulates the transmitting boundary using a simply supported beam model. This approach enables efficient input and transmission of seismic waves and incorporates classical viscous dampers to absorb reflected waves in two dimensions. The paper presents the mathematical foundation of the proposed method and validates its performance through numerical simulations using OpenSees. The results are compared with commonly used engineering boundary conditions, including the tie boundary and classical viscous damping. The findings demonstrate that the proposed simply supported beam approach combines the advantages of both traditional methods, achieving effective seismic wave input, transmission, and absorption. |