Development of an acquisition system for high deformation barriers using low-cost IMU sensors and Image Analysis

Marco Previtali; Matteo Ciantia; Riccardo  Castellanza; Giovanni Crosta

doi:10.53243/Geo-Resilience-2023-7-7

Development of an acquisition system for high deformation barriers using low-cost IMU sensors and Image Analysis

Marco Previtali (Lead / Corresponding author), Matteo Ciantia, Riccardo Castellanza, Giovanni Crosta

Civil Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

Meso and full-scale impact tests have historically been used to assess the capacity of high-deformation barriers used against natural hazards and to validate numerical models. However, the data acquired from such experiments is typically limited to peak barrier elongation and occasionally force-time-displacement curves acting on specific structural elements. In rare occasions, complex and expensive procedures such as 4D photogrammetry are employed. Herein, a procedure is developed to obtain a barrier deformation data in three dimensions using low-cost MEMS sensors and consumer-grade cameras. The procedure is validated against LIDAR data for both quasi-static and dynamic conditions.

Original language	English
Title of host publication	Geo-Resilience 2023
Subtitle of host publication	Proceedings of the Geo-Resilience 2023 Conference
Editors	D. G. Toll, M. G. Winter
Place of Publication	London
Publisher	British Geotechnical Association
Chapter	7.7
Number of pages	9
DOIs	https://doi.org/10.53243/Geo-Resilience-2023-7-7
Publication status	Published - Mar 2023
Event	Geo-Resilience 2023 - Centre for Student Life, Cardiff University, Cardiff , United Kingdom Duration: 28 Mar 2023 → 29 Mar 2023 Conference number: 3 https://georesilience2023.org/

Conference

Conference	Geo-Resilience 2023
Country/Territory	United Kingdom
City	Cardiff
Period	28/03/23 → 29/03/23
Internet address	https://georesilience2023.org/

Keywords

Natural hazard
Physical model
Low-cost sensor
Model validation

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10.53243/Geo-Resilience-2023-7-7Licence: No Licence / Unknown

Author Accepted ManuscriptAccepted author manuscript, 769 KB

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Previtali, M., Ciantia, M., Castellanza, R., & Crosta, G. (2023). Development of an acquisition system for high deformation barriers using low-cost IMU sensors and Image Analysis. In D. G. Toll, & M. G. Winter (Eds.), Geo-Resilience 2023: Proceedings of the Geo-Resilience 2023 Conference British Geotechnical Association. https://doi.org/10.53243/Geo-Resilience-2023-7-7

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title = "Development of an acquisition system for high deformation barriers using low-cost IMU sensors and Image Analysis",

abstract = "Meso and full-scale impact tests have historically been used to assess the capacity of high-deformation barriers used against natural hazards and to validate numerical models. However, the data acquired from such experiments is typically limited to peak barrier elongation and occasionally force-time-displacement curves acting on specific structural elements. In rare occasions, complex and expensive procedures such as 4D photogrammetry are employed. Herein, a procedure is developed to obtain a barrier deformation data in three dimensions using low-cost MEMS sensors and consumer-grade cameras. The procedure is validated against LIDAR data for both quasi-static and dynamic conditions.",

keywords = "Natural hazard, Physical model, Low-cost sensor, Model validation",

author = "Marco Previtali and Matteo Ciantia and Riccardo Castellanza and Giovanni Crosta",

year = "2023",

month = mar,

doi = "10.53243/Geo-Resilience-2023-7-7",

language = "English",

editor = "Toll, \{D. G.\} and Winter, \{M. G.\}",

booktitle = "Geo-Resilience 2023",

publisher = "British Geotechnical Association",

note = "Geo-Resilience 2023 ; Conference date: 28-03-2023 Through 29-03-2023",

url = "https://georesilience2023.org/",

}

Previtali, M , Ciantia, M, Castellanza, R & Crosta, G 2023, Development of an acquisition system for high deformation barriers using low-cost IMU sensors and Image Analysis. in DG Toll & MG Winter (eds), Geo-Resilience 2023: Proceedings of the Geo-Resilience 2023 Conference. British Geotechnical Association, London, Geo-Resilience 2023, Cardiff , United Kingdom, 28/03/23. https://doi.org/10.53243/Geo-Resilience-2023-7-7

Development of an acquisition system for high deformation barriers using low-cost IMU sensors and Image Analysis. / Previtali, Marco (Lead / Corresponding author); Ciantia, Matteo; Castellanza, Riccardo et al.
Geo-Resilience 2023: Proceedings of the Geo-Resilience 2023 Conference. ed. / D. G. Toll; M. G. Winter. London: British Geotechnical Association, 2023.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Development of an acquisition system for high deformation barriers using low-cost IMU sensors and Image Analysis

AU - Previtali, Marco

AU - Ciantia, Matteo

AU - Castellanza, Riccardo

AU - Crosta, Giovanni

N1 - Conference code: 3

PY - 2023/3

Y1 - 2023/3

N2 - Meso and full-scale impact tests have historically been used to assess the capacity of high-deformation barriers used against natural hazards and to validate numerical models. However, the data acquired from such experiments is typically limited to peak barrier elongation and occasionally force-time-displacement curves acting on specific structural elements. In rare occasions, complex and expensive procedures such as 4D photogrammetry are employed. Herein, a procedure is developed to obtain a barrier deformation data in three dimensions using low-cost MEMS sensors and consumer-grade cameras. The procedure is validated against LIDAR data for both quasi-static and dynamic conditions.

AB - Meso and full-scale impact tests have historically been used to assess the capacity of high-deformation barriers used against natural hazards and to validate numerical models. However, the data acquired from such experiments is typically limited to peak barrier elongation and occasionally force-time-displacement curves acting on specific structural elements. In rare occasions, complex and expensive procedures such as 4D photogrammetry are employed. Herein, a procedure is developed to obtain a barrier deformation data in three dimensions using low-cost MEMS sensors and consumer-grade cameras. The procedure is validated against LIDAR data for both quasi-static and dynamic conditions.

KW - Natural hazard

KW - Physical model

KW - Low-cost sensor

KW - Model validation

UR - https://georesilience2023.org/

U2 - 10.53243/Geo-Resilience-2023-7-7

DO - 10.53243/Geo-Resilience-2023-7-7

M3 - Conference contribution

BT - Geo-Resilience 2023

A2 - Toll, D. G.

A2 - Winter, M. G.

PB - British Geotechnical Association

CY - London

T2 - Geo-Resilience 2023

Y2 - 28 March 2023 through 29 March 2023

ER -

Development of an acquisition system for high deformation barriers using low-cost IMU sensors and Image Analysis

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Keywords

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