|
|
|
|
|
MARCONCIN,LILIANE R.; MACHADO,ROBERTO D.; LACERDA,LUIZ A. DE; AUFLEGER,MARKUS. |
ABSTRACT The use of sensors and optical fibers for monitoring structures is continuously growing. Strains, displacements, accelerations, temperatures are just a few of the monitoring possibilities. In the case of dam structures, concrete face rockfill dams constitute a type of structures where the monitoring of water infiltrations is of particular interest. In large structures of this type, opening of slab joints is a common effect of general strain distributions, but crack formation may also occur as a result of high compressive stresses, during and after the reservoir filling stage. In this context, this paper verifies, experimentally, the applicability and the response of a distributed fiber optic monitoring system in the identification of infiltration... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Concrete face rockfill dam; Infiltration; Monitoring structures; Optical fiber. |
Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000401865 |
| |
|
|
Jarquín-Sánchez,Aarón; Salgado-García,Sergio; Palma-López,David J; Camacho-Chiu,Wilder. |
The objective of this study was to predict the concentration of soil organic matter (SOM) in tropical soils using near-infrared spectroscopy (NIRS) for samples measured within a polyethylene bag and without a bag. One hundred and fifty six soil samples from the humid tropics of Tabasco, Mexico with contrasting chemical characteristics were selected. The samples were dried, ground, and sieved through 2 mm and 5 mm screens, and their SOM contents were determined using the Walkley-Black method. The soil samples were packed in polyethylene bags, and SOM was measured directly with and without a bag using a quartz probe (FOSS 5000 model of NIRsystems, DK-3400 Hillerod,Denmark) for a range from 1100 to 2000 nm to obtain a prediction model of SOM. The model for... |
Tipo: Journal article |
Palavras-chave: Chemical analysis; Tropical soil; Optical fiber; Model; Organic matter prediction. |
Ano: 2012 |
URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202012000200015 |
| |
|
|
|