Characterization of bridge substructures explored by leveraging structural identification of a scaled bridge model

2021 ◽  
Vol 246 ◽  
pp. 112953
Author(s):  
Qiang Mao ◽  
Matteo Mazzotti ◽  
Mustafa Furkan ◽  
Aaron Hicks ◽  
Ivan Bartoli ◽  
...  
Keyword(s):  
Structural Identification ◽  
Bridge Model ◽  
Bridge Substructures

Characterization of hydrodynamic properties from free vibration tests of a large-scale bridge model

2021 ◽  
Vol 106 ◽  
pp. 103368
Author(s):  
Thomas Schumacher ◽  
Alaa W. Hameed ◽  
Christopher Higgins ◽  
Brittany Erickson
Keyword(s):  
Free Vibration ◽  
Large Scale ◽  
Hydrodynamic Properties ◽  
Bridge Model ◽  
Vibration Tests

scholarly journals Isolation, structural identification and biological characterization of two conopeptides from the Conus pennaceus venom

2017 ◽  
Vol 81 (11) ◽  
pp. 2086-2089 ◽  
Author(s):  
Mohammed Abdel-Wahab ◽  
Masahiro Miyashita ◽  
Yoshiyuki Ota ◽  
Hironori Juichi ◽  
Ryota Okabe ◽  
...  
Keyword(s):  
Structural Identification ◽  
Biological Characterization

scholarly journals A Moving 3D Laser Scanner for Automated Underbridge Inspection

2017 ◽  
Author(s):  
Marco Tarabini ◽  
Hermes Giberti ◽  
Silvio Giancola ◽  
Matteo Sgrenzaroli ◽  
Remo Sala ◽  
...  
Keyword(s):  
Measurement Uncertainty ◽  
Numerical Simulations ◽  
Relative Motion ◽  
Reference System ◽  
Complete System ◽  
Laser Scanner ◽  
Bridge Model ◽  
Fixed Reference ◽  
Scanning Head

Recent researches proved that the underbridge geometry can be reconstructed by mounting a 3D laser scanner on a motorized cart travelling on a walkway located under the bridge. The walkway is moved by a truck and the accuracy of the bridge model depends on the accuracy of the trajectory of the scanning head with respect to a fixed reference system. In this paper, we describe the metrological characterization of a method that uses non-contact systems to identify the relative motion of the cart with respect to the walkway; the orientation of the walkway with respect to the bridge is determined using inclinometers and optical rails, while the position of the truck with respect to the bridge is measured using a conventional odometer.  The measurement uncertainty of the proposed system was initially evaluated by numerical simulations and successively verified by experiments in laboratory conditions. The complete system has then been tested in operative conditions; the validity of the proposed approach has been demonstrated by comparing the geometry of buildings reconstructed with the proposed system with the geometry obtained with a static scan. Results evidenced that the errors are approximately 6 mm.

Structural identification and characterization of impurities in ceftizoxime sodium

2007 ◽  
Vol 43 (2) ◽  
pp. 733-740 ◽  
Author(s):  
Ch. Bharathi ◽  
Ch.S. Prasad ◽  
D. Vijaya Bharathi ◽  
Rama Shankar ◽  
V. Janardhana Rao ◽  
...  
Keyword(s):  
Structural Identification ◽  
Identification And Characterization

scholarly journals Structural Identification of Antibacterial Lipids from Amazonian Palm Tree Endophytes through the Molecular Network Approach

2019 ◽  
Vol 20 (8) ◽  
pp. 2006 ◽  
Author(s):  
Morgane Barthélemy ◽  
Nicolas Elie ◽  
Léonie Pellissier ◽  
Jean-Luc Wolfender ◽  
Didier Stien ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Methicillin Resistant Staphylococcus Aureus ◽  
Structural Identification ◽  
Chemical Study ◽  
Palm Tree ◽  
Tandem Mass ◽  
Network Approach ◽  
Ion Clusters ◽  
Ethyl Acetate Extracts

A library of 197 endophytic fungi and bacteria isolated from the Amazonian palm tree Astrocaryum sciophilum was extracted and screened for antibacterial activity against methicillin-resistant Staphylococcus aureus (MRSA). Four out of five antibacterial ethyl acetate extracts were also cytotoxic for the MRC-5 cells line. Liquid chromatography coupled to tandem mass spectrometry (UPHLC-HRMS/MS) analyses combined with molecular networking data processing were carried out to allow the identification of depsipeptides and cyclopeptides responsible for the cytotoxicity in the dataset. Specific ion clusters from the active Luteibacter sp. extract were also highlighted using an MRSA activity filter. A chemical study of Luteibacter sp. was conducted leading to the structural characterization of eight fatty acid exhibiting antimicrobial activity against MRSA in the tens of µg/mL range.

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