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 ◽  
...  
2021 ◽  
Vol 106 ◽  
pp. 103368
Author(s):  
Thomas Schumacher ◽  
Alaa W. Hameed ◽  
Christopher Higgins ◽  
Brittany Erickson

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

Author(s):  
Marco Tarabini ◽  
Hermes Giberti ◽  
Silvio Giancola ◽  
Matteo Sgrenzaroli ◽  
Remo Sala ◽  
...  

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.


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

2019 ◽  
Vol 20 (8) ◽  
pp. 2006 ◽  
Author(s):  
Morgane Barthélemy ◽  
Nicolas Elie ◽  
Léonie Pellissier ◽  
Jean-Luc Wolfender ◽  
Didier Stien ◽  
...  

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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