scholarly journals AE propagation velocity calculation for stiffness estimation in Pier Luigi Nervi’s concrete structures

2021 ◽  
Vol 8 (1) ◽  
pp. 109-118
Author(s):  
Erica Lenticchia ◽  
Amedeo Manuello Bertetto ◽  
Rosario Ceravolo
Keyword(s):  
Propagation Velocity ◽  
Concrete Structures ◽  
P Wave ◽  
Wave Propagation Velocity ◽  
Damage Level ◽  
Stiffness Characteristics ◽  
Vertical Bearing ◽  
The Relationship ◽  
Ae Signals ◽  
Elastic Characteristics

Abstract In the present paper, the acoustic emission (AE) device is used with an innovative approach, based on the calculation of P-wave propagation velocity (vp ), to detect the stiffness characteristics and the diffused damage of in-service old concrete structures. The paper presents the result of a recent testing campaign carried out on the slant pillars composing the vertical bearing structures designed by Pier Luigi Nervi in one of his most iconic buildings: the Hall B of Torino Esposizioni. In order to investigate the properties of these inclined pillars, localizations of artificial sources (hammer impacts), by the triangulation procedure, were performed on three different inclined elements characterized by stiffness discrepancies due to different causes: the casting procedures, executed in different stages, and the enlargement of the hall happened a few years later the beginning of the construction. In the present work, the relationship between the velocity of AE signals and the elastic characteristics (principally elastic modulus, E) is evaluated in order to discriminate the stiffness level of the slanted pillars. The procedure presented made it possible to develop an innovative investigation method able to estimate, by means of AE, the state of conservation and the elastic properties and the damage level of the monitored concrete and reinforced concrete structures.

scholarly journals Experiments on Rare-Earth Element Extractions from Umber Ores for Optimizing the Grinding Process

Minerals ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. 239
Author(s):  
Takaya ◽  
Wang ◽  
Fujinaga ◽  
Uchida ◽  
Nozaki ◽  
...  
Keyword(s):  
Wave Propagation ◽  
Rare Earth ◽  
Physical Properties ◽  
Rare Earth Element ◽  
Propagation Velocity ◽  
Earth Element ◽  
Extraction Process ◽  
P Wave ◽  
Grinding Process ◽  
Wave Propagation Velocity

Ancient hydrothermal metalliferous sediments (umber) have recently attracted attention as a new rare-earth element resource. We conducted chemical leaching experiments on three different umber ores to optimize the hydrometallurgical extraction process, especially regarding the grinding process. The three umber ore samples, which were collected from Japanese accretionary complexes (Kuminiyama and Aki umber) and Troodos ophiolite (Cyprus umber), had different chemical, mineral, and physical properties, and showed different leaching behaviors. The experimental results revealed that the physical properties (density and P-wave propagation velocity) principally controlled the extent of REY (lanthanides and yttrium) extraction from the umber ore samples, and REY extraction from umber samples clearly increased with the decrease in the density and P-wave propagation velocity. The differences in physical properties of the umber samples are attributable to the pressure and thermal history of each ore sample, and it was revealed that umber samples which underwent strong metamorphism are not suitable for actual development. The results also suggested that the optimum particle size (optimum grinding level) of umber samples is simply predictable based on the physical properties. The results of this study should be valuable for future efforts to procure these important mineral resources.

Automatic Classification of Impact-Echo Spectra II

2011 ◽  
pp. 199-205
Author(s):  
Addisson Salazar ◽  
Arturo Serrano
Keyword(s):  
Neural Networks ◽  
Wave Propagation ◽  
Propagation Velocity ◽  
Sampling Frequency ◽  
P Wave ◽  
Material Surface ◽  
S Wave ◽  
Wave Propagation Velocity ◽  
Impact Echo

We study the application of artificial neural networks (ANNs) to the classification of spectra from impact-echo signals. In this paper we focus on analyses from experiments. Simulation results are covered in paper I. Impact-echo is a procedure from Non-Destructive Evaluation where a material is excited by a hammer impact which produces a response from the material microstructure. This response is sensed by a set of transducers located on material surface. Measured signals contain backscattering from grain microstructure and information of flaws in the material inspected (Sansalone & Street, 1997). The physical phenomenon of impact-echo corresponds to wave propagation in solids. When a disturbance (stress or displacement) is applied suddenly at a point on the surface of a solid, such as by impact, the disturbance propagates through the solid as three different types of stress waves: a P-wave, an S-wave, and an R-wave. The P-wave is associated with the propagation of normal stress and the S-wave is associated with shear stress, both of them propagate into the solid along spherical wave fronts. In addition, a surface wave, or Rayleigh wave (R-wave) travels throughout a circular wave front along the material surface (Carino, 2001). After a transient period where the first waves arrive, wave propagation becomes stationary in resonant modes of the material that vary depending on the defects inside the material. In defective materials propagated waves have to surround the defects and their energy decreases, and multiple reflections and diffraction with the defect borders become reflected waves (Sansalone, Carino, & Hsu, 1998). Depending on the observation time and the sampling frequency used in the experiments we may be interested in analyzing the transient or the stationary stage of the wave propagation in impact- echo tests. Usually with high resolution in time, analyzes of wave propagation velocity can give useful information, for instance, to build a tomography of a material inspected from different locations. Considering the sampling frequency that we used in the experiments (100 kHz), a feature extracted from the signal as the wave propagation velocity is not accurate enough to discern between homogeneous and different kind of defective materials. The data set for this research consists of sonic and ultrasonic impact-echo signal (1-27 kHz) spectra obtained from 84 parallelepiped-shape (7x5x22cm. width, height and length) lab specimens of aluminium alloy series 2000. These spectra, along with a categorization of the quality of materials among homogeneous, one-defect and multiple-defect classes were used to develop supervised neural network classifiers. We show that neural networks yield good classifications (

scholarly journals Study on concrete through its hardened state properties

2020 ◽  
Vol 13 (1) ◽  
pp. 87-94
Author(s):  
A. MONTELONGO ◽  
F. PACHECO ◽  
R. CHRIST ◽  
B. F. TUTIKIAN
Keyword(s):  
Compressive Strength ◽  
Salt Spray ◽  
Statistical Treatment ◽  
Concrete Structures ◽  
Technical Specification ◽  
Wave Propagation Velocity ◽  
Technical Standards ◽  
Hardened State ◽  
The Relationship

Abstract The composition characteristics of concrete, such as water/cement ratio, cement consumption and compressive strength directly affect its handling performance and durability. Thus, the technical standards related to concrete structures recommend technical specification concerning different environmental aggressiveness classes. Therefore, this study followed an experimental method aiming to evaluate the relationship between the characteristics of four different concrete mixes produced in accordance to the specifications of the standards EN 1992-1 and EN 206 for quality of hardened state concrete and its behavior during accelerated tests of carbonation and salt spray. Analyzes of compressive strength, void index, total and capillary water absorption, specific gravity, electrical resistivity and ultrasonic wave propagation velocity were executed. For the statistical treatment, a Multivariate Analysis of Variance (MANOVA) was performed, which provided a simplified analysis of the durable potential of reinforced concrete structures by its characteristics. Results lead to two major groups of behavior, and statistical significant differences in deterioration tests between mixes 1 and 4 for the salt spray test and between mix 4 and the others for the carbonation test.

About one algorithm of pressure wave propagation velocity identification in the main oil pipeline and its realization features

2017 ◽  
Vol 7 (4) ◽  
pp. 17-25
Author(s):  
Rustam Z. Sunagatullin ◽  
◽  
Andrey V. Kudritskiy ◽  
Igor S. Simonov ◽  
Aleksandr M. Samusenko ◽  
...  
Keyword(s):  
Wave Propagation ◽  
Propagation Velocity ◽  
Pressure Wave ◽  
Wave Propagation Velocity ◽  
Oil Pipeline ◽  
Main Oil Pipeline

Approximation of the Kinematics of Foot Joints by Using Passive Elastic Characteristics of Joint

2007 ◽  
Vol 342-343 ◽  
pp. 621-624
Author(s):  
Hyeon Ki Choi ◽  
Si Yeol Kim ◽  
Won Hak Cho
Keyword(s):  
Joint Angle ◽  
Reaction Force ◽  
Force Plate ◽  
Least Square Method ◽  
Least Square ◽  
Biomechanical Analysis ◽  
Clinical Evaluations ◽  
Foot Joints ◽  
The Relationship ◽  
Elastic Characteristics

We investigated the relationship between kinematic and kinetic characteristics of foot joints resisting ground reaction force (GRF). Passive elastic characteristics of joint were obtained from the experiment using three cameras and one force plate. The relationship between joint angle and moment was mathematically modeled by using least square method. The calculated ranges of motion were 7o for TM joint, 4o for TT joint and 20o for MP joint. With the model that relates joint angle and plantar pressure, we could get the kinematic data of the joints which are not available from conventional motion analysis. The model can be used not only for biomechanical analysis which simulates gait but also for the clinical evaluations.

Sign in / Sign up

Export Citation Format

Share Document