Smart sensing for post-earthquake damage quantification in RC members using piezoceramic transducers

Automation in Construction ◽

10.1016/j.autcon.2021.103888 ◽

2021 ◽

Vol 131 ◽

pp. 103888

Author(s):

Chien-Kuo Chiu ◽

Chia-Hsin Wu ◽

Hsin-Fang Sung ◽

Wen-I Liao

Keyword(s):

Earthquake Damage ◽

Damage Quantification ◽

Smart Sensing

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Smart Sensing for Traffic Monitoring

10.1049/pbtr017e ◽

2020 ◽

Keyword(s):

Traffic Monitoring ◽

Smart Sensing

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DAMAGE QUANTIFICATION OF BEAMS USING FREQUENCY SIGNATURE

International Journal of Geomate ◽

10.21660/2017.35.6682 ◽

2017 ◽

Vol 13 (35) ◽

Author(s):

Bryan Josef T. Medrano

Keyword(s):

Damage Quantification

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The September 7, 2017 Tehuantepec, Mexico, earthquake: Damage assessment in masonry structures for housing

International Journal of Disaster Risk Reduction ◽

10.1016/j.ijdrr.2021.102123 ◽

2021 ◽

Vol 56 ◽

pp. 102123

Author(s):

Eber Alberto Godínez-Domínguez ◽

Arturo Tena-Colunga ◽

Luis Eduardo Pérez-Rocha ◽

Hans Israel Archundia-Aranda ◽

Alonso Gómez-Bernal ◽

...

Keyword(s):

Damage Assessment ◽

Earthquake Damage ◽

Masonry Structures ◽

Mexico Earthquake ◽

Earthquake Damage Assessment

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Analysis of the Prevention Measures for Earthquake Damage and Flood Disasters of Bridges in Mountainous Areas of Sichuan

Journal of Physics Conference Series ◽

10.1088/1742-6596/1624/4/042042 ◽

2020 ◽

Vol 1624 ◽

pp. 042042

Author(s):

Xiaoyong Zhou ◽

Xiaofeng Lu ◽

Tingmin Mou ◽

Zhenyu Liu

Keyword(s):

Earthquake Damage ◽

Prevention Measures ◽

Mountainous Areas ◽

Flood Disasters

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3D Stacked Near‐Field Electrospun Nanoporous PVDF‐TrFE Nanofibers as Self‐Powered Smart Sensing in Gait Big Data Analytics

Advanced Materials Technologies ◽

10.1002/admt.202000779 ◽

2021 ◽

pp. 2000779

Author(s):

Wei Cheng Lo ◽

Chih Chia Chen ◽

Yiin Kuen Fuh

Keyword(s):

Big Data ◽

Data Analytics ◽

Near Field ◽

Big Data Analytics ◽

Smart Sensing ◽

Self Powered

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Richter's Predictor: Modelling Earthquake Damage Using Multi-class Classification Models

2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC) ◽

10.1109/icaecc50550.2020.9339484 ◽

2020 ◽

Author(s):

Aishwarya Kumaraswamy ◽

Bhargava N Reddy ◽

Rithvik Kolla

Keyword(s):

Earthquake Damage ◽

Classification Models ◽

Multi Class Classification

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Integrated electromechanical impedance technique with convolutional neural network for concrete structural damage quantification under varied temperatures

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2020.107467 ◽

2021 ◽

Vol 152 ◽

pp. 107467

Author(s):

Hedong Li ◽

Demi Ai ◽

Hongping Zhu ◽

Hui Luo

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Structural Damage ◽

Electromechanical Impedance ◽

Damage Quantification ◽

Impedance Technique

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Vertically arranged Mn2O3 nanosheets as smart sensing electrode for highly sensitive N-hydroxysuccinimide

Microchemical Journal ◽

10.1016/j.microc.2020.105912 ◽

2021 ◽

Vol 163 ◽

pp. 105912

Author(s):

Sadia Ameen

Keyword(s):

Highly Sensitive ◽

Smart Sensing

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Post-earthquake damage assessment of traditional masonry buildings: A case study of Bhaktapur municipality following 2015 Gorkha (Nepal) earthquake

Engineering Failure Analysis ◽

10.1016/j.engfailanal.2021.105277 ◽

2021 ◽

Vol 123 ◽

pp. 105277

Author(s):

Manjip Shakya ◽

Chandra Kiran Kawan ◽

Arjun Kumar Gaire ◽

Sunil Duwal

Keyword(s):

Damage Assessment ◽

Earthquake Damage ◽

Masonry Buildings ◽

Nepal Earthquake ◽

2015 Gorkha Nepal Earthquake ◽

Earthquake Damage Assessment

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Earthquake damage modeling using cellular automata and fuzzy rule-based models

Arabian Journal of Geosciences ◽

10.1007/s12517-021-07595-1 ◽

2021 ◽

Vol 14 (13) ◽

Author(s):

Rasool Vahid ◽

Farshid Farnood Ahmadi ◽

Nazila Mohammadi

Keyword(s):

Cellular Automata ◽

Fuzzy Rule ◽

Earthquake Damage ◽

Damage Modeling ◽

Rule Based

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