Runway excursions: Bearing strength measurement concerns

Cicmanec, Ludek; Petrasek, David

doi:10.1109/dasc43569.2019.9081754

Cited by 3 publications

(5 citation statements)

References 2 publications

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“…The pressure is a measure of aircraft undercarriage characteristics and weight, which is correlated with a number of blows into specific soil depths [ 36 ]. Having already discussed the aviation authority requirements, which generally accept the California bearing ratio (CBR) for reporting in aviation applications, the device is correlated with the CBR, issuing CBR estimates [ 6 ].…”

Section: Methodsmentioning

confidence: 99%

“…The bearing strength is supposed to be evaluated regularly, being exceedingly dependent on actual meteorological conditions. The daily bearing strength measurements are expected to be maintained over the entire airport vicinity to retain an airport operational [ 6 ]. Due to airport operation restrictions imposed mainly by extensive time constraints in daily operations, it is vital to conduct the bearing strength evaluations as a time reference at two locations at a minimum every day [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

“…The daily bearing strength measurements are expected to be maintained over the entire airport vicinity to retain an airport operational [ 6 ]. Due to airport operation restrictions imposed mainly by extensive time constraints in daily operations, it is vital to conduct the bearing strength evaluations as a time reference at two locations at a minimum every day [ 6 ]. Despite being seemingly highly time-efficient, these measurements are exceedingly obstructive and time-consuming for airport operation staff.…”

Section: Introductionmentioning

confidence: 99%

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Applicability of Fuzzy Logic and Artificial Neural Network for Unpaved Airfield Surface Bearing Strength Prediction

Cicmanec

2021

Sensors

Self Cite

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The main objective of this paper is to describe a building process of a model predicting the soil strength at unpaved airport surfaces (unpaved runways, safety areas in runway proximity, runway strips, and runway end safety areas). The reason for building this model is to partially substitute frequent and meticulous inspections of an airport movement area comprising the bearing strength evaluation and provide an efficient tool to organize surface maintenance. Since the process of building such a model is complex for a physical model, it is anticipated that it might be addressed by a statistical model instead. Therefore, fuzzy logic (FL) and artificial neural network (ANN) capabilities are investigated and compared with linear regression function (LRF). Large data sets comprising the bearing strength and meteorological characteristics are applied to train the likely model variations to be subsequently compared with the application of standard statistical quantitative parameters. All the models prove that the inclusion of antecedent soil strength as an additional model input has an immense impact on the increase in model accuracy. Although the M7 model out of the ANN group displays the best performance, the M3 model is considered for practical implications being less complicated and having fewer inputs. In general, both the ANN and FL models outperform the LRF models well in all the categories. The FL models perform almost equally as well as the ANN but with slightly decreased accuracy.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Applicability of Fuzzy Logic and Artificial Neural Network for Unpaved Airfield Surface Bearing Strength Prediction

Cicmanec

2021

Sensors

Self Cite

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“…This allowed information to be collected on aircraft of selected types in service between 1982 and 2007. The average service life was assumed equal to 25.7 years (25 years, 8 months and 21 days) based on data from year 2015 Forsberg (2015); Cicmanec and Petrasek (2019).…”

Section: Aircraft Used In the Analyses Conductedmentioning

confidence: 99%

Comparison of Flight Safety Between Different Aircraft Modifications

Woch,

Tomaszewska,

Zieja

et al. 2023

Proceeding of the 33rd European Safety and Reliability Conference

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This paper discusses the relationship between the next aircraft modifications on the number and consequences of accidents or incidents. The problem is discussed on the example of selected models of the Boeing brand. The first part of the paper discusses the impact of introducing new designs on flight safety. The differences between modifications of selected Boeing aircraft are briefly presented. Definitions of an accident and an aircraft incident are quoted and the sources of data used for the analysis are presented. In the next part of the study, the number of aircraft of a given type in service at a given time was estimated based on delivery reports. The numbers of aircraft in service were compared with aircraft accident and incident reports. The number of adverse occurrences per aircraft of a given type in the sequential years following the introduction of a new model was presented in tables and graphs. In the following part of the study, the probability of occurrence of different loss categories in the first two years of operation after the launch of the new aircraft models was calculated. Finally, the results obtained are summarised and discussed as well as interpreted.

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“…Chiefly, the model based on the experiment according to the ADP application is represented by two formulas giving the strength properties in a number of blows down to the depths of 10 cm and 30 cm for the universal conditions representing the prevailing conditions and applied at all airports in the country (see Eqs 1 and 2) [14]. So as to tackle field application requiring a quick evaluation, the results for the entire strength interval with sufficient increments are fitted into a matrix (see Tab.…”

Section: Model Based On the Airfield Dynamic Penetrometer Applicationmentioning

confidence: 99%

Runway Excursions: Bearing Strength Control of Unpaved Areas

Cicmanec¹,

Ulrich²

2021

AiMT

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The paper deals with the Dynamic Cone Penetrometer application which is intended to work as a vital means to support the bearing strength evaluation over the vast unpaved airport areas. Having identified fundamental drawbacks, the authors proposed some refinements in the original methodology. These predominantly respect the needs of airport operation services. Specifically, the model based on fuzzy logic and two tables, exceptionally suitable for day-to-day applications, are proposed and tested upon the extensive data set acquired at four airports over the last four years.

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Runway excursions: Bearing strength measurement concerns

Cited by 3 publications

References 2 publications

Applicability of Fuzzy Logic and Artificial Neural Network for Unpaved Airfield Surface Bearing Strength Prediction

Applicability of Fuzzy Logic and Artificial Neural Network for Unpaved Airfield Surface Bearing Strength Prediction

Comparison of Flight Safety Between Different Aircraft Modifications

Runway Excursions: Bearing Strength Control of Unpaved Areas

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