利用自傳感FRP筋實(shí)現(xiàn)結(jié)構(gòu)性能全面監(jiān)測(cè)和自診斷研究
吳智深1，唐永圣1，黃璜2
- 摘 要
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吳智深1，唐永圣1，黃璜2（1 東南大學(xué)城市工程科學(xué)研究院， 南京 210096； 2 日本茨城大學(xué)， 日立 316-8511）［摘要］基于對(duì)現(xiàn)有結(jié)構(gòu)健康監(jiān)測(cè)（SHM）的分析，提出了利用應(yīng)變傳感方式開發(fā)自傳感FRP筋實(shí)現(xiàn)結(jié)構(gòu)全面監(jiān)測(cè)和評(píng)估的SHM體系。為此，首先針對(duì)結(jié)構(gòu)應(yīng)變傳感的需求開發(fā)一系列封裝技術(shù)，將分布式傳感光纖埋設(shè)進(jìn)纖維復(fù)合材料（FRP），制備自傳感FRP筋，大幅提升了光纖的傳感性能、施工性和傳感耐久性，擴(kuò)大了其應(yīng)用范圍。隨后，針對(duì)土木建筑結(jié)構(gòu)具有體量大、桿件多、損傷局部發(fā)生等特點(diǎn)，提出了在這些損傷發(fā)生概率大的區(qū)域分布式布設(shè)傳感器，進(jìn)行全面監(jiān)測(cè)，也即區(qū)域傳感的理念。同時(shí)，通過纖維模型理論和動(dòng)力參數(shù)分析理論建立結(jié)構(gòu)健康診斷體系。最后，通過梁、柱的模型驗(yàn)證了所提出的結(jié)構(gòu)監(jiān)測(cè)和健康自診斷體系。研究結(jié)果表明，基于應(yīng)變監(jiān)測(cè)可以建立有效的SHM體系。［關(guān)鍵詞］結(jié)構(gòu)健康監(jiān)測(cè)； 分布式光纖傳感； 自傳感FRP筋中圖分類號(hào)：TU317 文獻(xiàn)標(biāo)識(shí)碼：A 文章編號(hào)：1002-848X(2013)19-0005-05Structural monitoring and health self-diagnosing based on self-sensing FRP barsWu Zhishen1, Tang Yongsheng1, Huang Huang2(1 International Institute for Urban Systems Engineering, Southeast University, Nanjing 210096, China; 2 Department of Urban & Civil Engineering, Ibaraki University, Hitachi 316-8511, Japan)Abstract: A self-sensing FRP bar based SHM system for achieving comprehensive structural monitoring and self-evaluating was presented. At first, the distributed optical fiber sensors were embedded into fiber reinforced polymer (FRP) to manufacture the self-sensing FRP bar with some special packages, making the optical fiber more effective and robust, which expanded the scope of its application the harsh environment of civil engineering. Then, considering the features of civil engineering structures, such as large-scale, a lot of members and damage developing locally, the concept of area sensing was proposed to optimize the sensor installation, namely distributed installation of sensors covering the zones where damages will happen with large possibility. Subsequently, the structural health self-diagnosing system was proposed based on the theories of fiber model and dynamic analysis methods. At last, the proposed structural monitoring and health self-diagnosing was verified with the experiments of beam and column models in the lab. The results have confirmed that the efficient SHM system can be constructed with only strain monitoring.Keywords: structural health monitoring; distributed optical fiber sensing; self-sensing FRP bar作者簡(jiǎn)介：吳智深，博士，教授，Email：zswu@mx.ibaraki.ac.jp。參考文獻(xiàn)［1］WU ZHISHEN. Structural health monitoring and intelligent infrastructures in Japan［C］. Japan: A.A.BALKEMA Publishers, 2003.［2］LI SUZHEN, WU ZHISHEN. Development of distributed long-gage fiber optic sensing system for structural health monitoring［J］. Structural Health Monitoring, 2007, 6(7):133-143.［3］LI SUZHEN, WU ZHISHEN. Sensitivity enhancement of long-gage FBG sensors for macrostrain measurements［J］.Structural Health Monitoring,2009,8(11):415-423.［4］ZHANG HAO, WU ZHISHEN. Performance evaluation of BOTDR-based distributed fiber optic sensors for crack monitoring［J］. Structural Health Monitoring, 2008, 7(2): 143-156.［5］TANG YONGSHENG,WU ZHISHEN,YANG CAIQIAN,et al.A new type of smart BFRP bars as both reinforcements and sensors for civil engineering application［J］. Smart Materials and Structures, 2010, 19:1-14.［6］TANG YONGSHENG, WU ZHISHEN, YANG CAIQIAN, et al. Development of selfsensing BFRP bars with distributed optic fiber sensors［C］//USA: SPIE, 2009, 7293：1701-1710.［7］WU ZHISHEN, LI SUZHEN. Structural damage detection based on smart and distributed sensing technologies［C］//Shenzhen: ICSHMII, 2005: 107-120.［8］LI SUZHEN, WU ZHISHEN. A non-baseline algorithm for damage locating in flexural structures using dynamic distributed macro-strain responses［J］. Earthquake Engineering & Structural Dynamics, 2007, 36(9): 1109-1125.［9］LI SUZHEN, WU ZHISHEN. Modal analysis on macro-strain measurements from distributed long-gage fiber optic sensors［J］. Journal of Intelligent Material Systems and Structures, 2008, 19(8): 937-946.［10］ADEWUYI AP, WU ZHISHEN, SERKER NHMK. Assessment of vibration-based damage identification methods using displacement and distributed strain measurements［J］. Structural Health Monitoring, 2009, 8(6): 443-461.［11］WU ZHISHEN, LI SUSHEN. Two-level damage detection strategy based on modal parameters from distributed dynamic macro-strain measurements［J］. Journal of Intelligent Material Systems and Structures, 2007, 18(7): 667-676.［12］LI SUZHEN, WU ZHISHEN. A model-free method for damage locating and quantifying in a beam-like structure based on dynamic distributed strain measurements［J］. Computer-Aided Civil and Infrastructure Engineering, 2008, 23: 404-413.
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