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Nondestructive Concrete Strength Estimation based on Electro-Mechanical Impedance with Artificial Neural Network

机译：基于人工神经网络的机电阻抗的无损混凝土强度估计

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Tae-Keun Oh; Junkyeong Kim; Changgil Lee; Seunghee Park;
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1. Nondestructive Concrete Strength Estimation based on Electro-Mechanical Impedance with Artificial Neural Network [J] . Tae-Keun Oh, Junkyeong Kim, Changgil Lee, Journal of advanced concrete technology . 2017,第3期

机译：基于人工神经网络的机电阻抗的无损混凝土强度估算
2. The assessment of the compressive strength and thickness of concrete structures using nondestructive testing and an artificial neural network [J] . Young S. Cho, S.U. Hong, Moon Sung Lee Nondestructive Testing and Evaluation . 2009,第3期

机译：使用无损检测和人工神经网络评估混凝土结构的抗压强度和厚度
3. Estimation of the compressive strength of high performance concrete with artificial neural networks [J] . L. Acuna-Pinaud, P. Espinoza-Haro, I. Moromi-Nakata, Journal of Civil Engineering and Construction Technology . 2017,第7期

机译：用人工神经网络估算高性能混凝土的抗压强度。
4. Early-age concrete strength estimation based on piezoelectric sensor using artificial neural network [C] . Junkyeong Kim, Ju-Won Kim, Seunghee Park Conference on nondestructive characterization for composite materials, aerospace engineering, civil infrastructure, and homeland security . 2014

机译：基于人工神经网络的压电传感器早期混凝土强度估算
5. Analysis of jointed plain concrete pavement systems with nondestructive test results using artificial neural networks. [D] . Bayrak, Mustafa Birkan. 2008

机译：使用人工神经网络分析无损检测结果的节理型普通混凝土路面系统。
6. Modelling the Influence of Waste Rubber on Compressive Strength of Concrete by Artificial Neural Networks [O] . Marijana Hadzima-Nyarko, Emmanuel Karlo Nyarko, Naida Ademović, 2019

机译：用人工神经网络模拟废旧橡胶对混凝土抗压强度的影响。
7. Estimation of concrete compressive strength using artificial neural network [O] . Kostić Srđan, Vasović Dejan 2015

机译：人工神经网络估算混凝土抗压强度
8. Nondestructive Pavement Evaluation Using ILLI-PAVE Based Artificial Neural Network Models [R] . Pekcan, O., Tutumluer, E., Thompson, M. 2008

机译：基于ILLI-paVE的人工神经网络模型无损检测评价

Nondestructive Concrete Strength Estimation based on Electro-Mechanical Impedance with Artificial Neural Network

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