Mathematical Modelling Of The Bridges Structural Monitoring II

Radulescu, Gheorghe; Radulescu, Adrian; Rădulescu, Mihai; Naş, Sanda

doi:10.1515/jaes-2015-0012

Cited by 3 publications

(3 citation statements)

References 1 publication

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“…In order to create a mathematical equation corresponding to different experimental research, many works have been conducted and are presented in the specialized literature [27][28][29][30]32,[36][37][38][39]. However, a rather difficult problem arises when it is desired to identify a mathematical equation that corresponds to several studies: -Studies that were carried out at different times or in different locations but at the same time; -Studies conducted by different authors but which have the same research field.…”

Section: Introductionmentioning

confidence: 99%

Extraction of Mathematical Correlations Applied in the Aerodynamic Separation of Solid Particles

et al. 2022

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This article describes the methodology used to identify the mathematical equation that describes the correlations between the input and output parameters of an experiment. As a technological process, aerodynamic separation was chosen to represent the behavior of a solid particle within an ascending vertical airflow. The experimental data were used to identify two parameters, namely the average linear velocity and the angular velocity. The Table Curve 3D program was used to develop a mathematical equation describing the dependence between the input parameters (the shape and size of the solid particle, as well as the velocity of the airflow) and the monitored parameters. A pyramid-type analysis (following a filtering system, a general equation was determined from a large number of equations that characterize an experimental set mathematically) was designed in order to determine a single mathematical equation that describes the correlation between the input variables and those obtained as accurately as possible. The determination of the mathematical equation started with the number of equations generated by the Table Curve 3D program; then, the equations with a correlation coefficient greater than 0.85 were chosen; and finally, the common equations were identified. Respecting the working methodology, one equation was identified, which has for the average linear velocity, a correlation coefficient r2 of between 0.88-0.99 and 0.86–0.99 for the angular velocity.

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Section: Introductionmentioning

confidence: 99%

Extraction of Mathematical Correlations Applied in the Aerodynamic Separation of Solid Particles

et al. 2022

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“…In order to create a mathematical model corresponding for study, many works have been made and are presented in the specialized literature [28,29,31,32,34,38,[41][42][43][44], but a rather difficult problem arises when it is desired to identify a mathematical model that corresponds to several studies: -Studies that have been performed at different time intervals or in different locations but at the same time; -Studies conducted by different authors, but which have the same research field.…”

Section: Introductionmentioning

confidence: 99%

Identify the Mathematical Models Generated by the Table Curve 3 D Program

Moșneguțu¹,

Panainte-Lehăduș²,

Nedeff³

et al. 2022

Preprint

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This article describes the methodology used to identify the mathematical model that describes the correlations between the input parameters of an experiment and the parameters being followed. As a technological process, the aerodynamic separation was chosen, respectively, the behavior of a solid particle within an ascending vertical airflow. The experimental data obtained were used to identify two parameters, the average linear velocity, and the angular velocity, and through the Table Curve 3D program was developed a mathematical model which describes the dependence between the input parameters (the shape and size of the solid particle and the velocity of the airflow) and the monitored parameters. In order to determine a single mathematical equation that describes as accurately as possible the correlation between the input variables and those obtained, a pyramid-type analysis was designed. The determination of the mathematical equation started from the number of equations generated by the Table Curve 3D program, then the equations with a correlation coefficient greater than 0.85 were chosen, and finally, the common equations were identified. Respecting the working methodology was identified one equation which has for the average linear velocity a correlation coefficient r2 between 0.88-0.99 and 0.86-0.99 for the angular velocity.

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“…The monument was rebuilt with a new technology using a metal structure clad with stone pieces from the same quarry exploited 2000 years ago [5]. All these stages of monument reconstruction are fully presented in papers published after 1960 [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Indoor Microclimatic Variables Assessment by Vibrational Spectroscopy on Original Structure of Tropaeum Traiani Monument, Adamclisi

Olteanu

Rădulescu²,

Stihi

et al. 2020

J. Sci. Arts

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This work attempts to show the usefulness of vibrational spectroscopy (i.e., FTIR and Raman) in the analysis of major components of the original structure materials of a heritage monument (Tropaeum Traiani, Adamclisi). The features of materials and indoor microclimatic variables (i.e., temperature and relative humidity), on the periods of the monitoring campaigns, were considered. As the conservation must make sure about the physicochemical and structural aspects of the materials, assessment of the environmental impact, deterioration processes and characterization of ancient building materials are useful to understand the chemical evolution in the past, predict the various trends in the future, choose the suitable restoration methods to preserve their present state, and even to describe the alteration process of materials and modification through time. The surface of original structure materials used until present seems not to be affected at major scale by the indoor microclimate variables. But even high recorded relative humidity levels promote the occurrence of amorphous calcium carbonate, calcite, aragonite and vaterite highlighted by vibrational spectroscopy data (i.e., FTIR and Raman), as a first effect, the development of biological organism can be enhanced, depending on the characteristics of the substrate. Second, atmospheric pollutants can be dissolved easier in the humidity existing in the porous material, and lastly, if the waterflow inside the stone is not homogeneous, cracks could appear due to differences in permeability.

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Mathematical Modelling Of The Bridges Structural Monitoring II

Cited by 3 publications

References 1 publication

Extraction of Mathematical Correlations Applied in the Aerodynamic Separation of Solid Particles

Extraction of Mathematical Correlations Applied in the Aerodynamic Separation of Solid Particles

Identify the Mathematical Models Generated by the Table Curve 3 D Program

Indoor Microclimatic Variables Assessment by Vibrational Spectroscopy on Original Structure of Tropaeum Traiani Monument, Adamclisi

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