teacher 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)
電子檔已經上線。歡迎會員登入後下載全文。
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. |
| 標題 | 基於人工智慧於橋梁結構劣化辨識與量化評估 |
|---|---|
| 作者 | 嚴寬、張家銘、韓仁毓、許謹柔 |
| 關鍵字 | 無人機 (UAV)、電腦視覺、深度學習、超寬頻 (UWB)、三維重建 |
| 摘要 | 橋梁為民生交通之重要連結，需定期檢測以確保安全，然而橋梁檢測工作面臨 著多樣化和複雜的環境挑戰，特別是跨越區域的橋梁，其結構現況難以全面掌握。 本研究提出一套可在全球導航衛星系統 (global navigation satellite system, GNSS) 受限環境運作的智慧化橋梁檢測流程：以無人飛行載具 (unmanned aerial vehicles, UAV) 取得高解析影像；結合超寬頻 (ultra-wideband, UWB) 雙向測距與即時動態定 位進行混合定位，於橋下達到約0.1 m精度；透過深度學習模型 Mask R-CNN (mask region-based convolutional neural network) 自動辨識裂縫、剝落、鋼筋外露與滲水 等劣化，模型經實橋影像訓練精確率達0.74、召回率0.83。檢測結果再透過電腦視 覺量化並與橋梁檢測方法—DER&U評估連結，配合三維重建技術能將劣化構建 重建為點雲模型，以及設定判斷標準，為驗證技術的可靠性和實用性，本研究選取 兩座現役橋梁作為示範場域，結果顯示，與傳統的人工目視檢測相比，UAV檢測提 供更全面的劣化資訊和更廣泛的檢查角度（如帽梁、主梁）。同時深度學習模型檢 測到的劣化位置可以在橋梁評估中清晰記錄，提高檢測的客觀性和可追溯性。本研 究提出一套完整的智慧化橋梁檢測流程，從資料獲取、定位技術到損壞評估，均進 行深入研究，期能為橋梁檢測領域提供新的可應用方向。 |
| 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. |
| 標題 | 勞動部志清大樓耐震補強、地震監測與AI監控建置 |
|---|---|
| 作者 | 許庭偉、林宜儫、林宜靜、林南交 |
| 關鍵字 | 耐震補強、鋼板制震壁、地震監測、AI監控 |
| 摘要 | 「志清大樓」為地下3層，地上14層之鋼筋混凝土造建築物。經建物耐震能 力詳細評估需進行結構補強，於補強設計階段由大匠工程顧問有限公司執行，經設 計審查確認補強方案採用「鋼板制震壁」補強工法。補強工程施工階段，採用人工 智慧 (artificial intelligence, AI) 即時施工監控系統進行工地即時管理，建置雲端品 質管理系統，落實職安品質，使工程如質、如期竣工。補強後，為即時掌握志清大 樓受震可能之反應，結合地震智慧化監測回饋，建置地震監測系統，採主動式智慧 化地震監測裝置進行即時監測，透過結構安全監測平台傳遞震後結構反應數據，於 雲端建立地震事件報告，可有效掌握制震壁效能與損壞程度，有助日後維護管理並 確認補強成效。 |
| 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. |
| 標題 | 金門大橋橋梁安全監測系統 |
|---|---|
| 作者 | 黃進國、蔡欣局、鐘立庭 |
| 關鍵字 | 頻率域分解法、等效簡支拉力梁法、雙頻法、橋梁健康監測管理平台 |
| 摘要 | 金門大橋位於金門縣，橋梁的兩端，東側連接金門本島，西側連接烈嶼島，全 線長度為5.4公里，橋梁段的長度為4.77公里，全橋分為主橋段、邊橋段、引橋段， 主橋段為6跨5塔脊背橋，主橋段長度為1,050公尺，兩側邊跨跨距為125公尺， 中間4跨主跨的跨距為200公尺。由於金門大橋位於嚴峻的海洋腐蝕環境，橋梁維 護管養環境條件相當嚴苛，為了確保用路人的安全及其觀光之效益，遂於橋梁施工 期間循序漸進的建置橋梁安全監測系統。金門大橋橋梁安全監測系統包含動態監測 系統、靜態監測系統、網路傳輸系統三大部分，其中動態監測系統主要針對鋼纜索 力進行監測，靜態監測系統則分成兩部分，第一部分為針對結構體行為進行監測， 包含橋體斷面應變、橋體混凝土溫度、伸縮縫位移、橋塔傾斜角度等；第二部分為 場址環境因素，包含大氣溫度、大氣濕度、風速、風向等。網路傳輸系統主要將動 態系統及靜態系統串聯起來，讓資料流可以順利傳輸、即時運算儲存，並傳送至遠 端的監控平台。文末並以常時與颱風期間監測數據進行比對分析，探討環境因素對 於鋼纜索力之影響程度。 |
| 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. |
| 標題 | 0121 嘉義地震楠西國中校舍震損勘察與分析 |
|---|---|
| 作者 | 林瑞良、馬忠駿、黃雋彥、莊明介 |
| 關鍵字 | 0121嘉義地震、震損勘察、楠西國中、耐震評估與補強、近斷層脈衝型地 震、功率需求 |
| 摘要 | 2025 年 01月 21日凌晨0時17分27秒 (UTC + 8) 於鄰近嘉義縣大埔鄉的區 域（台南市楠西區）發生芮氏規模ML 6.4的地震，震央位於北緯23.22度、東經 120.55 度，震源深度為15.8公里，最大震度6弱發生在嘉義縣大埔鄉。國家地震 工程研究中心於2月7日、8日與10日分別在台南市楠西區、台南市玉井區與嘉義 縣大埔鄉進行建物震損勘察。在勘察的受損建物中，楠西國中前棟校舍屋齡逾50 年，並且於2010年完成耐震補強，所採用的補強工法包括於走廊外側增建剪力牆。 本研究針對該棟校舍做進一步的結構受震反應分析，探討走廊外側增建剪力牆與既 有構架間的傳力機制，是否仍然適用剛性樓板的假設。希望能夠藉此說明勘察中所 發現的該棟校舍震損情形，並且瞭解該棟校舍在此次地震事件中的性能表現。分析 結果顯示剛性樓板的假設不適用於本棟在懸臂走廊外側增設剪力牆補強後的校舍。 並且，建議當典型中小學校舍採用於懸臂走廊外側增設剪力牆的補強工法時，一座 剪力牆與下一座剪力牆間的最大距離最好以不超過30公尺為原則，若是只增設單 座剪力牆，則其位置最好位於走廊中段。最後，透過檢視該棟補強後校舍的功率需 求，說明脈衝型地震CHY062與非脈衝型地震CHY079造成該棟補強後校舍之受震 反應需求有明顯差異的原因。 |
| 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. |
| 標題 | 以簡支梁模擬二維矩形土體傳遞邊界之技術開發 |
|---|---|
| 作者 | 郭振祥、楊文嘉 |
| 關鍵字 | 非線性土壤結構互制、半無限域、地震波傳播、邊界梁元素、有限元素法 |
| 摘要 | 以有限元素模擬二維土壤結構互制問題時，土體的傳遞邊界為一項重大挑戰。本研究 針對此挑戰，提出以簡支梁模擬傳遞邊界的技術，以有效輸入與傳遞地震波，並搭配經典 黏性阻尼器吸收二維反彈波。本文將介紹此新方法之數學理論背景，並使用OpenSees進 行數值驗證，驗證結果將與工程上常見的傳統邊界設定：束制邊界 (tie boundary) 及經典 黏性阻尼進行比較。結果顯示，新提出之簡支梁模擬技巧能兼具兩種傳統工程邊界設定方 法的優勢，達到地震波的輸入、傳遞與吸收。 |
| 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. |
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。
時間：民國114年9月24日 (星期三) 10:30-11:30
地點：國家地震工程研究中心一樓R101會議室。
費用：免費報名。
講者簡介與演講資訊如附件。
指導單位：內政部國土管理署
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：花蓮縣政府（擬邀）
時間：114年9月5日（五）13時30分至下午17時05分
地點：麗格休閒飯店1樓會議室（花蓮縣花蓮市商校街258號）
費用：免費
名額：預計50人，依報名順序，額滿為止。
報名方式：即日起至8月29日（五）止（人數上限50人，額滿為止）。
報名網址：https://conf.ncree.org.tw/index.aspx?n=A11409050
報名電話：(02)6630-5189 李小姐
(報名請掃我)
主辦單位：中華民國地震工程學會、國立臺灣大學土木工程學系
協辦單位：中華民國結構工程學會、
財團法人國家實驗研究院國家地震工程研究中心
時 間：114年9月22日(星期一) 下午13：00至下午17：00
地 點：國家地震工程研究中心台北實驗室 101室
費 用：免費。
名 額：額滿為止。
報名方式：即日起至114年9月18日完成報名。
報名網址：https://conf.ncree.org.tw/IndexCht.aspx?n=A11408250
聯絡電話：0933990176 范誠恩 先生
02-66300829 莊勝智 先生
備 註：
(一) 本講習會已向行政院公共工程委員會申請技師換證積點，及公務
人員終身學習積點。
(二) 本講習會已向內政部國土管理署申請建築師換證積點。
