Vulnerability of aerostructures to drone impact – characterization of critical drone components

May, Michaël; Jung, Markus; Pfaff, Jonas; Schopferer, Sebastian; Schaufelberger, Benjamin; Matura, Pascal; Imbert, Mathieu

doi:10.2514/6.2022-0870

Cited by 5 publications

(2 citation statements)

References 18 publications

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“…Building Information Modelling (BIM) is the collection and processing of architectural, technological, economic and other information about the building and its interconnections with other objects, which were obtained during the design of this building [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. This knowledge is necessary for the construction of the building, as well as its reconstruction and equipment [3].…”

Section: Building Information Modellingmentioning

confidence: 99%

Using UAV to create digital doubles of reality and BIM

Gura,

Gribkova,

Berkova

et al. 2023

E3S Web of Conf.

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Computer technology is widely developed and implemented. Many companies use unmanned aerial vehicles (UAVs) to obtain information about buildings and facilities for construction or renovation. The following methods can be used to provide data from UAVs: laser scanning or digital aerial photography. Each of them has its own advantages. The distinctive feature of laser scanning is the high speed of data acquisition and processing, as well as the ability to work at any time, regardless of the light. Digital aerial photography, in its turn, is characterised by high productivity and inexpensive equipment. Given the development of data acquisition and processing methods, the creation of digital copies of buildings and structures has recently become widespread. Today this process has become more accessible and convenient. This article deals with the acquisition of data from unmanned aerial vehicles. A digital twin is a digital copy of an object that is used to realistically represent a physical model. It can be a digital twin of a single object or a global model of processes affecting hundreds of thousands of people. Digital twin technology and BIM-technology are related to each other, but have a number of features that distinguish them from each other. The article compares information modelling and the technology of creating a digital twin of buildings. The aim of the paper is to identify and analyse the problems that can be encountered when creating a digital twin and to find their solutions.

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Section: Building Information Modellingmentioning

confidence: 99%

Using UAV to create digital doubles of reality and BIM

Gura,

Gribkova,

Berkova

et al. 2023

E3S Web of Conf.

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“…An unmanned Aerial Vehicle (UAV) [15,16,17,18,19], quadcopter, or drone has the capacity of at least 2 kg ability to carry loads and fly up to 5000 m (use LoRa). Spraying rice doesn't need a high flight ability, and the load factor is water.…”

Section: /235mentioning

confidence: 99%

Drone simulation for agriculture and LoRa based approach

Adi¹,

Mustamu

Siregar

et al. 2021

IOTA

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Spraying appropriately and regularly will help develop rice plants' growth and development to produce superior rice. These pesticides' spraying is sometimes uneven because of the vast land, limited human labor, and several other factors. that appropriate technology is needed that helps in the process of spraying rice pesticides using drones. Drones are deemed appropriate in spraying its advantages, among others, more effective, reducing the involvement of humans in work. Drones help track consistently and in detail the part of agricultural land that will be sprayed with pesticides, unlike humans. It is more automatic in monitoring, with the camera used on the drone can see the growth of rice plants directly and do recording or real-time connecting to the application server or IoT. Besides spraying pesticides, regular monitoring of plants can be done with drones. This study uses a UAV simulation for mapping the location of pesticide spraying, the results of contributions to large areas, and analysis of drone power consumption, which means allocating Drones to the area of land being managed.

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A novel reduced order model for drone impacts with aircraft structures

2023

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Small unmanned aerial vehicles are a threat for manned aviation. Their increased use by hobby pilots and within the commercial sector has been accompanied by an increase in incidents involving manned aircraft. The problem is that current aircraft structures are designed to resist collisions with birds. They are not designed to withstand drone impacts. The composition of drones differs significantly from previously known load cases. Drones consist of several components with various materials. This means, that there is no analytic model to determine the impact force of such drone strikes with aircraft structures. Within this work, a novel reduced order model for drone impacts is developed. It is validated with high velocity impact test data and explicit finite element simulations. The impact of fragmenting components of the drone are modelled with the aircraft impact model. The impact of non-fragmenting components like motors are described with a spring-mass model. The results show that the approach of superimposing a spring-mass model with the aircraft impact model leads to good results. In case of a rigid target only minor deviations occur within the validity range of the model. Damage and degradation of the target is not included in the model what leads to larger deviations in case of an impact with deformable structures. Nevertheless, the model is very well suited for rapid load estimation and can qualitatively reproduce contact force curves. It can be used for preliminary design of aircraft structures without conducting time and cost intensive tests and simulations.

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Vulnerability of aerostructures to drone impact – characterization of critical drone components

Cited by 5 publications

References 18 publications

Using UAV to create digital doubles of reality and BIM

Using UAV to create digital doubles of reality and BIM

Drone simulation for agriculture and LoRa based approach

A novel reduced order model for drone impacts with aircraft structures

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