scholarly journals Algorithm interval estimation of the parameters according to the simulation experiment

2015 ◽  
Vol 2 (4) ◽  
pp. 70-75
Author(s):  
Анна Казначеева ◽  
Anna Kaznacheeva ◽  
Юлия Полинко ◽  
Yuliya Polinko
Keyword(s):  
Measurement Errors ◽  
Concrete Beam ◽  
Simulation Experiment ◽  
Interval Estimation ◽  
Reinforced Concrete Beam ◽  
Random Errors ◽  
The Monte Carlo Method ◽  
Approximation Errors ◽  
Nonlinear Elastic ◽  
The Given

Algorythm of calculating spacing estimations of variables of physics and mechanics parameters defining a construction rigidity according to measured variables of state with consideration of random errors of the measure system. For the spacing estimation of required parameters an algorythm implementing the Monte-Carlo method, with measurement errors and reflection approximation errors being considered. Varification of the given algorithm is shown as an example of spacial (interestimation of rigidity parameters of a nonlinear –elastic reinforced concrete beam

On-Site Determination of the Polarization Resistance in a Reinforced Concrete Beam

CORROSION ◽  
1988 ◽  
Vol 44 (10) ◽  
pp. 761-765 ◽  
Author(s):  
S. Feliu ◽  
J. A. Gonzalez ◽  
C. Andrade ◽  
V. Feliu
Keyword(s):  
Reinforced Concrete ◽  
Polarization Resistance ◽  
Concrete Beam ◽  
Reinforced Concrete Beam

scholarly journals Innovative aerodynamic grain separation system for plant harvesting in sloped areas: problems, research and optimization of parameters

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jerzy Bienek ◽  
Piotr Komarnicki ◽  
Jerzy Detyna
Keyword(s):  
Monte Carlo ◽  
Separation System ◽  
Indicator Values ◽  
Negative Effects ◽  
The Monte Carlo Method ◽  
Longitudinal Slope ◽  
Combine Harvester ◽  
The Given ◽  
Transverse Slope ◽  
Plant Harvesting

AbstractThis article presents the main problems associated with cereal harvesting in sloping areas. The presented innovative aerodynamic system supporting the separating unit of combine harvester can be one of the ways to counteract the negative effects of harvesting machines work on slopes. The Monte Carlo numerical method, presented in this article, was applied in the optimization of an aerodynamic sieve separation process on an inclined terrain. The given variables are the transverse slope of separator α (of the sieve), longitudinal slope β and the output of the main and side fans. The Monte Carlo method makes it possible to determine an optimized set of parameters (α = 10°, β = 2.8°, δ = 9°), the output of the main fan (0.67 m3 s−1) and the output of the side fan (1.86 m3 s−1), allowing to obtain the best indicator values of 2.1% grain loss and 97.5% grain purity.

Analysis of reinforced concrete beam with small fibre

2020 ◽  
Author(s):  
Pavlina Mateckova ◽  
Zuzana Marcalikova ◽  
David Bujdoš ◽  
Marie Kozielova
Keyword(s):  
Reinforced Concrete ◽  
Concrete Beam ◽  
Reinforced Concrete Beam ◽  
Small Fibre

Evaluation of Severely Damaged Reinforced Concrete Beam Repaired with Epoxy Injection using Acoustic Emission Technique

2021 ◽  
pp. 102890
Author(s):  
Soffian Noor Mat Saliah ◽  
Noorsuhada Md Nor ◽  
Noorhazlinda Abd Rahman ◽  
Shahrum Abdullah ◽  
Mohd Subri Tahir
Keyword(s):  
Acoustic Emission ◽  
Reinforced Concrete ◽  
Concrete Beam ◽  
Reinforced Concrete Beam ◽  
Acoustic Emission Technique

scholarly journals Toward Structural Health Monitoring of Civil Structures Based on Self-Sensing Concrete Nanocomposites: A Validation in a Reinforced-Concrete Beam

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Diego L. Castañeda-Saldarriaga ◽  
Joham Alvarez-Montoya ◽  
Vladimir Martínez-Tejada ◽  
Julián Sierra-Pérez
Keyword(s):  
Reinforced Concrete ◽  
Damage Detection ◽  
Direct Current ◽  
Health Monitoring ◽  
Electrical Resistance ◽  
Concrete Beam ◽  
Reinforced Concrete Beam ◽  
Structural Member ◽  
Rc Beam ◽  
Electric Resistance

AbstractSelf-sensing concrete materials, also known as smart concretes, are emerging as a promising technological development for the construction industry, where novel materials with the capability of providing information about the structural integrity while operating as a structural material are required. Despite progress in the field, there are issues related to the integration of these composites in full-scale structural members that need to be addressed before broad practical implementations. This article reports the manufacturing and multipurpose experimental characterization of a cement-based matrix (CBM) composite with carbon nanotube (CNT) inclusions and its integration inside a representative structural member. Methodologies based on current–voltage (I–V) curves, direct current (DC), and biphasic direct current (BDC) were used to study and characterize the electric resistance of the CNT/CBM composite. Their self-sensing behavior was studied using a compression test, while electric resistance measures were taken. To evaluate the damage detection capability, a CNT/CBM parallelepiped was embedded into a reinforced-concrete beam (RC beam) and tested under three-point bending. Principal finding includes the validation of the material’s piezoresistivity behavior and its suitability to be used as strain sensor. Also, test results showed that manufactured composites exhibit an Ohmic response. The embedded CNT/CBM material exhibited a dominant linear proportionality between electrical resistance values, load magnitude, and strain changes into the RC beam. Finally, a change in the global stiffness (associated with a damage occurrence on the beam) was successfully self-sensed using the manufactured sensor by means of the variation in the electrical resistance. These results demonstrate the potential of CNT/CBM composites to be used in real-world structural health monitoring (SHM) applications for damage detection by identifying changes in stiffness of the monitored structural member.

Deformation Characteristics of Reinforced Concrete Beam-Column Joint Cores under Earthquake Loading

2003 ◽  
Vol 6 (1) ◽  
pp. 15-21 ◽  
Author(s):  
Sayed A. Attaalla ◽  
Mehran Agbabian
Keyword(s):  
Reinforced Concrete ◽  
Shear Deformation ◽  
Concrete Beam ◽  
Reinforced Concrete Beam ◽  
Reinforced Concrete Frame ◽  
Bond Failure ◽  
Strain Compatibility ◽  
Concrete Frame ◽  
Column Joint ◽  
Reinforced Concrete Frame Structures

The characteristics of the shear deformation inside the beam-column joint core of reinforced concrete frame structures subjected to seismic loading are discussed in this paper. The paper presents the formulation of an analytical model based on experimental observations. The model is intended to predict the expansions of beam-column joint core in the horizontal and vertical directions. The model describes the strain compatibility inside the joint in an average sense. Its predictions are verified utilizing experimental measurements obtained from tests conducted on beam-column connections. The model is found to adequately predict the components of shear deformation in the joint core and satisfactorily estimates the average strains in the joint hoops up to bond failure. The model may be considered as a simple, yet, important step towards analytical understanding of the sophisticated shear mechanism inside the joint and may be implemented in a controlled-deformation design technique of the joint.

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