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國家地震工程研究中心特邀請美國休士頓大學（University of Houston）土木工程學系
Roberto Ballarini 教授 蒞臨來訪，並舉辦專題演講，敬邀各位工程先進踴躍參加。
講者：Roberto Ballarini, Ph.D., P.E., F.EMI, F.ASME, Dist.M.ASCE
(https://www.cive.uh.edu/faculty/ballarini)
講題：The Stochastic Buckling of Geometrically-Imperfect Hemispherical Shells Exhibits a Similar Size Effect as the Strength of Brittle Solids
演講日期： 2026年1月6日（星期二）
演講時間： 上午10:30
演講地點： 國家地震工程研究中心 台北大樓101演講廳
（台北市大安區辛亥路三段200號）
誠摯邀請各位先進踴躍蒞臨，共襄盛舉。
中華民國結構工程學會 敬啟2025/12/17
本次講習會由國震中心（NCREE）、中華建築隔震消能構造協會（CSSI） 與日本住友理工株式會社（Sumitomo Riko Company）共同主辦，並集結國內重要學術研究單位與結構技師公會協力合辦，規模與陣容均為年度之最。今年課程內容完整涵蓋風與地震雙重作用下之隔震設計、創新高性能滑動隔震技術、以及台灣隔震技術未來相關的政策與發展趨勢，並且於國震台南實驗室中進行實體隔震元件的展示試驗，讓參與者能近距離觀察隔震元件於實驗中的真實行為，深刻體驗隔震技術從理論到工程落實的每一個關鍵環節。與會者將能從學理、實務、產業與實驗四個層次獲得最完整的隔震技術視角。
敬邀您與您的研究團隊出席，演講資訊如下:
時間：2025年12月10日(星期三)上午9時00分至下午16時20分
地點： 國家地震工程研究中心台南實驗室101會議廳(台南市歸仁區中正南路一段2001號)
費用：免費
專業證書：技師換證積點
名額：80人，額滿為止。
報名網址: https://conf.ncree.org.tw/ProgramsCht.aspx?n=A11310290
本研討會已申請技師換證積點。議程表請詳研討會報名網站，誠摯歡迎您透過研討會網站報名參與本講習會。
講者與演講資訊: 詳報名網站
聯絡人: 游忠翰副研究員(e-mail: chyu@niar.org.tw)、曾育凡 小姐(e-mail: yftseng@niar.org.tw)
主辦單位：財團法人國家實驗研究院國家地震工程研究中心
協辦單位：中華民國結構工程學會、中華民國地震工程學會、台北市結構工程技師公會。
時間：民國 114年11 月25 、26 日(星期二、三)
地點：國家地震工程研究中心一樓R101會議室
106219臺北市大安區辛亥路三段200號
費用：2,000元整，民國114 年11月14日(星期五)前截止報名。
完成報名繳費程序後，不予退費
名額：預計 120 人，依報名順序，額滿為止
報名方式：即日起開始報名，請上網址：https://conf.ncree.org.tw/indexCht.aspx?n=A11411250
備註：本研討會已向行政院公共工程委員會申請技師積點及公務人員終身學習護照相關證書。
聯絡人：莊勝智/sjjhuang@niar.org.tw
★研討會資訊：
為提升實驗效率與品質，國家地震工程研究中心特別邀請The University of British Columbia. Prof. Tony T.Y. Yang、國立臺灣大學土木工程學系賴晉達教授
以及本中心臺南實驗室蕭輔沛博士進行一系列專業講習，期望提升執行實驗人員對於複合模擬實驗技術、數位雙生與結構互制之相關知能。
※時間：114年10月14日(二)
※地點：國震中心臺南實驗室101演講廳(臺南市歸仁區中正南路一段2001號)
※議程：請詳附件
※本研討會免費報名！人數上限120名
※報名網址：https://conf.ncree.org.tw/indexCht.aspx?n=A11410140
請於即日起至114年10月10日前完成線上報名程序。
※本研討會提供專業技師積點，請於報名系統登錄相關資訊。
※為鼓勵學生共同參與學習，研討會提供參與學生研習證明。
國家地震工程研究中心(國震中心)特別邀請加拿大英屬哥倫比亞大學Tony T.Y. Yang教授進行專題演講，講題「創新智慧建造技術的應用與展望」，此場演講為中文演講。
時間：民國114年10月16日(星期四) 上午10時00分至上午11時30分
地點：國家地震工程研究中心一樓R101會議室(臺北市大安區辛亥路三段200號)
費用：免費，民國114年10月9日(星期四)前截止報名。
名額：120人，依報名順序，額滿為止
報名方式：即日起開始報名，請上網址：https://conf.ncree.org.tw/indexCht.aspx?n=A11410160
備註：本研討會已申請專業技師(土木工程、結構工程)積點。
「結構工程」季刊第157期(第40卷第3期)
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中文網址: 第40卷第3期 (2025)
英文網址: Vol.40 / No.3 (2025)
若有任何意見歡迎 email 至 csse@csse.org.tw。
| Title | Defect Recognition and Quantification of Bridge Structures Based on Artificial Intelligence |
|---|---|
| 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 |
|---|---|
| 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 |
|---|---|
| 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 |
|---|---|
| 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 |
|---|---|
| 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. |
