Development of a Tomography Technique for Assessment of the Material Condition of Concrete Using Optimized Elastic Wave Parameters.
Development of a Tomography Technique for Assessment of the Material Condition of Concrete Using Optimized Elastic Wave Parameters.
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DOI：
10.3390/ma9040291
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发表时间：
2016-04-16
期刊：
影响因子：
--
通讯作者：
Shiotani T
中科院分区：
文献类型：
--
作者：
Chai HK;Liu KF;Behnia A;Yoshikazu K;Shiotani T
混凝土是最普遍的建筑材料。除了混凝土材料的新鲜和早期性能外，其在结构寿命期间的状况也会影响整体结构性能。因此，迫切需要开发能够研究材料状况的无损检测等技术。断层扫描技术已成为土木工程师评估混凝土结构状况越来越流行的无损评估技术。在本研究中，通过利用弹性波的不同参数（即行进时间、波幅、波频率和 Q 值）开发重建程序来研究该技术。在算法的开发中，采用了射线追踪功能来考虑弹性波在含有缺陷的混凝土中的实际非线性传播。进行数值模拟并结合波运动的实验验证，以获得含有蜂窝缺陷的混凝土中的波传播剖面，并评估预应力混凝土（PC）元件的腱槽填充。对开发的断层扫描重建程序的缺陷检测进行了评估和讨论。
Concrete is the most ubiquitous construction material. Apart from the fresh and early age properties of concrete material, its condition during the structure life span affects the overall structural performance. Therefore, development of techniques such as non-destructive testing which enable the investigation of the material condition, are in great demand. Tomography technique has become an increasingly popular non-destructive evaluation technique for civil engineers to assess the condition of concrete structures. In the present study, this technique is investigated by developing reconstruction procedures utilizing different parameters of elastic waves, namely the travel time, wave amplitude, wave frequency, and Q-value. In the development of algorithms, a ray tracing feature was adopted to take into account the actual non-linear propagation of elastic waves in concrete containing defects. Numerical simulation accompanied by experimental verifications of wave motion were conducted to obtain wave propagation profiles in concrete containing honeycomb as a defect and in assessing the tendon duct filling of pre-stressed concrete (PC) elements. The detection of defects by the developed tomography reconstruction procedures was evaluated and discussed.
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影响因子：
--
作者：
Liu KF;Chai HK;Mehrabi N;Yoshikazu K;Shiotani T
通讯作者：
Shiotani T
影响因子：
--
作者：
Aggelis DG;Kleitsa D;Matikas TE
通讯作者：
Matikas TE
影响因子：
4.2
作者：
Colla, C;Lausch, R
通讯作者：
Lausch, R
影响因子：
2
作者：
Tronicke, J;Tweeton, DR;Appel, E
通讯作者：
Appel, E
影响因子：
7.4
作者：
Farhidzadeh, Alireza;Mpalaskas, Anastasios C.;Aggelis, Dimitrios G.
通讯作者：
Aggelis, Dimitrios G.