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Gupta, A.
- Non-Destructive Assessment of Rebar Corrosion Based on Equivalent Structural Parameters Using Peizo-Transducers
Abstract Views :296 |
PDF Views:162
Authors
Affiliations
1 Department of Civil Engineering, ABES Engineering College, Ghaziabad 201 009, IN
2 Department of Civil Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110 016, IN
1 Department of Civil Engineering, ABES Engineering College, Ghaziabad 201 009, IN
2 Department of Civil Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110 016, IN
Source
Current Science, Vol 108, No 10 (2015), Pagination: 1890-1900Abstract
Occurrence of corrosion in rebars of reinforced concrete (RC) structures is a common problem faced by the ageing infrastructure across the world. This article presents a newly developed approach for detecting and quantifying corrosion of steel bars utilizing a piezoelectric ceramic (PZT) patch surfacebonded on the rebars employing equivalent structural parameters using the electro-mechanical impedance (EMI) technique. This technique utilizes the electromechanical coupling property of piezoelectric materials for a damage diagnosis. Through tests on three steel rebars, empherical relations are derived to relate the corrosion-induced mass and stiffness loss to the loss in the equivalent mass and stiffness identified by the PZT patch. The equivalent mass loss and stiffness loss correlate well with the actual mass loss and stiffness loss and, provide an alternative corrosion assessment paradigm suitable for diagnosing corrosion in steel rebars. The model-based corrosion assessment presented can be utilized for real-life steel structures.Keywords
Electro-Mechanical Impedance Technique, Piezoelectric Ceramic Sensors, Reinforced Concrete, Steel.Full Text
- Comparison of Data Mining Approaches for Estimating Soil Nutrient Contents Using Diffuse Reflectance Spectroscopy
Abstract Views :405 |
PDF Views:124
Authors
Affiliations
1 International Crops Research Institute for the Semi-Arid Tropics, Bamako, BP-320, ML
2 Indian Institute of Technology Kharagpur, Kharagpur 721 302, IN
3 International Crops Research Institute for the Semi-Arid Tropics, Patancheru, Hyderabad 502 324, IN
1 International Crops Research Institute for the Semi-Arid Tropics, Bamako, BP-320, ML
2 Indian Institute of Technology Kharagpur, Kharagpur 721 302, IN
3 International Crops Research Institute for the Semi-Arid Tropics, Patancheru, Hyderabad 502 324, IN
Source
Current Science, Vol 110, No 6 (2016), Pagination: 1031-1037Abstract
Diffuse reflectance spectroscopy (DRS) operating in wavelength range of 350-2500 nm is emerging as a rapid and non-invasive approach for estimating soil nutrient content. The success of the DRS approach relies on the ability of the data mining algorithms to extract appropriate spectral features while accounting for non-linearity and complexity of the reflectance spectra. There is no comparative assessment of spectral algorithms for estimating nutrient content of Indian soils. We compare the performance of partialleast- squares regression (PLSR), support vector regression (SVR), discrete wavelet transformation (DWT) and their combinations (DWT-PLSR and DWT-SVR) to estimate soil nutrient content. The DRS models were generated for extractable phosphorus (P), potassium (K), sulphur (S), boron (B), zinc (Zn), iron (Fe) and aluminium (Al) content in Vertisols and Alfisols and were compared using residual prediction deviation (RPD) of validation dataset. The best DRS models yielded accurate predictions for P (RPD = 2.27), Fe (RPD = 2.91) in Vertisols and Fe (RPD = 2.43) in Alfisols, while B (RPD = 1.63), Zn (RPD = 1.49) in Vertisols and K (RPD = 1.89), Zn (RPD = 1.41) in Alfisols were predicted with moderate accuracy. The DWT-SVR outperformed all other approaches in case of P, K and Fe in Vertisols and P, K and Zn in Alfisols; whereas, the PLSR approach was better for B, Zn and Al in Vertisols and B, Fe and Al in Alfisols. The DWT-SVR approach yielded parsimonious DRS models with similar or better prediction accuracy than PLSR approach. Hence, the DWT-SVR may be considered as a suitable data mining approach for estimating soil nutrients in Alfisols and Vertisols of India.Keywords
Diffuse Reflectance Spectroscopy, Discrete Wavelet Transformation, Partial-Least-Squares Regression, Soil Nutrient Contents, Support Vector Regression.Full Text
References
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- Estimation of Crop Coefficients and Water Productivity of Mustard (Brassica juncea) under Semi-Arid Conditions
Abstract Views :328 |
PDF Views:120
Authors
Affiliations
1 Division of Agricultural Engineering, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, IN
2 Water Technology Centre, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, IN
1 Division of Agricultural Engineering, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, IN
2 Water Technology Centre, ICAR-Indian Agricultural Research Institute, New Delhi 110 012, IN
Source
Current Science, Vol 113, No 02 (2017), Pagination: 264-271Abstract
Experiment was conducted using weighing-type field lysimeters to determine single and dual crop coefficients (Kc) and to estimate water productivity of mustard (Brassica juncea) cultivar, Pusa Vijay (NPJ-93) during rabi 2013-14 and 2014-15. It was observed that the single crop coefficient (Kc) during rabi 2013-14 was 0.39, 0.72, 1.02 and 0.5 for initial, development, mid and late stages respectively. While in dual Kc the value of Kcb (basal crop coefficient) was 0.19, 0.55, 0.91 and 0.24 for the four stages, respectively. During rabi 2014-15, the single Kc was 0.36, 0.63, 1.04 and 0.44 and for dual Kc the value of Kcb was 0.17, 0.46, 0.91 and 0.23 for four stages respectively. Relationship between Kcb and leaf area index as well as between Kcb and growing degree days was also established. Water productivity was estimated to be 14.9 kg/ha-mm corresponding to grain yield of 2.34 t ha-1 with 157 mm of total irrigation water applied during rabi 2013-14. Whereas during rabi 2014-15, water productivity was 15.4 kg/ha-mm with grain yield of 2.89 t ha-1 with 187 mm depth of applied irrigation. Nonetheless, the estimated crop coefficients of mustard can be used for judicious irrigation scheduling in order to enhance water productivity in semi-arid environment.Keywords
Brassica juncea, Crop Coefficient, Evapotranspiration, Leaf Area Index, Water Productivity.Full Text
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