The polypropylene copolymer (PPR) is a thermoplastic material widely used to transport hot and cold water under pressure. In operation, PPR pipes are sometimes subjected to accidental damages that may cause a reduction in residual resistance or even a complete fracture of the structure. Hence the need to characterize the behavior of virgin and defective PPR pipes under pressure to develop carefully a maintenance strategy to ensure a minimum cost with the maximum reliability. In this article and according to ASTM D1599, we conducted a set of real tests of bursting on virgin and notched pipes to assess the level of damage reaches mechanically and characterize the behavior pipes in PPR pipes. The experimental results allowed and identification of the three stages of development of damage namely: initiation, progression and sudden acceleration. The estimation of the damage degree by the model of static damage led to identify theoretically the three stages of the evolution of damage. Subsequently, a theoretical reassessment of the damage level was done through a judicious adaptation of the theoretical model proposed in unified theory of damage. Theoretical and experimental results showed a good agreement.

The strength of the copper wire and reliability of electrical contacts are the essential reason for their widespread use throughout the industry of electrical engineering in the distribution of electrical energy, and in the manufacture of electrical equipment and electrical components. Unfortunately, this property is altered by the presence of certain mechanical stress, which influences thereafter the mechanical characteristics of son and disrupts the functioning of electrical cable and electrical installation specially in general. This issue therefore requires first an understanding of the mechanical characteristics as well as an expanded study of the mechanical behavior of the material.
The study is based on the mastery of mechanical behavior of copper wire to improve and optimize the mechanical and electrical characteristics of the cables, another summer in characterizing component considered during this study, it is a statistical study Student of which allowed us to select the most reliable results with a risk threshold of 10% on the other hand, we perform a statistical study Weibull which enabled us to extract the Weibull elements and thereafter define the law of reliability and Weibull damage.

Information technology has become an essential way to solve some problems more precisely the physical problems: numerical modeling by finite elements is a method that was used to study the fracture mechanics, thus offering approximate solutions to more complex problems such as cracks in metal structures. The objective of this article is to establish a numerical finite element modeling on a bending test at three points (SENB) in two and three dimensions, using the CASTEM2013 computer code. The studied material is P265GH steel usually used in sheet metal form in boilers and pressure vessels. We started with modeling in two dimensions, and then we generate the surface for three-dimensional modeling. We have taken particular care in choosing the type of elements and parameters that come into play for modeling at the crack.

Throughout the life of wire ropes, they are subjected to high mechanical loads and variable, depending on their uses, indicating a loss of original strength, which sometimes leads to very rapid deterioration leading to sudden rupture. They require delicate monitoring and regular maintenance. Indeed, the smallest failures cause substantial discomfort economically and socially. Thus the need to understand the behavior of a structure as complex as the cables is of paramount importance.
This study contributes to the understanding of the elastic behavior of steel wire rope type antigyratory 19x7. Standard cable test specimens are subjected to static loads at different strain rate. The results obtained by means of hydraulic machine MTS showed that the wire ropes have an elastic behavior and that they have a very low strain rate sensitivity.