How engineering analyses the failure behaviour of brittle materials?
Best insight from top research papers
Engineering analyses the failure behavior of brittle materials by using various approaches and models. One approach is to improve existing failure theories, such as Rankine's and Mohr's, by addressing accuracy issues and offering improved models . Another approach involves developing versatile model-free methods for linking damage in highly heterogeneous materials at multiple scales, which can be applied even when statistical homogeneity ceases to exist . Additionally, supervised machine learning frameworks have been developed to predict failure in brittle materials by using time-series data and pattern recognition schemes . Unified failure criteria have also been proposed, consisting of conditions related to local stress and stress gradients, to determine failure in isotropic brittle materials regardless of the presence of cracks or notches . Furthermore, the brittle failure pattern of composite materials with interaction and energy feedback between different materials has been investigated through laboratory tests and numerical simulations .
Answers from top 4 papers
More filters
| Papers (4) | Insight |
|---|---|
01 Jan 2021 8 Citations | The provided paper discusses the use of a supervised machine learning framework to predict failure in brittle materials. It does not specifically mention how engineering analyses the failure behavior of brittle materials. |
6 Citations | The paper presents a model-free approach that uses phase-field modeling and coarse-graining techniques to analyze the failure behavior of brittle materials. |
| The paper presents an improved mathematical model, based on Mohr's failure criterion, for predicting the failure of brittle materials under complex stresses. | |
6 Citations | The paper discusses the failure behavior of brittle materials and proposes a set of failure criteria to analyze the failure of structural components made of brittle materials. |
Related Questions
Are there examples of Engineering Antifragility?5 answersAntifragility has been explored in various engineering fields. In the context of renewable energy systems, Coppitters and Contino propose an antifragile design optimization framework that optimizes variability and introduces an antifragility indicator. In the field of software architecture, the implementation of antifragility principles has been suggested to enhance the robustness and performance of software systems. Goodwill, Ray, Nock, and Miller discuss the application of antifragility in the design and operation of potable water systems, highlighting the potential for improved performance with extreme events and increased volatility. Axenie, Kurz, and Saveriano explore the concept of antifragile therapy control in cancer treatment, aiming to generate treatment schemes that are not fragile but go beyond robustness. Additionally, Bangui, Buhnova, and Rossi provide a comprehensive survey on the concept of antifragility, emphasizing its role in critical infrastructures and using blockchain as an example of an antifragile system.
To find durability of concrete using numerical modelling techniques?5 answersNumerical modelling techniques are being used to find the durability of concrete. These techniques involve computational analysis and semi-heuristic computational models. The models generate mathematical problems that simulate the behavior of concrete under different conditions, such as load bearing ability and durability. These models are important in the design and construction of buildings, as they help predict the initiation and propagation of cracks in concrete. Additionally, numerical simulations can be used to determine the properties of concrete and assess its performance under various conditions. By using these techniques, researchers can predict the durability of concrete and make informed decisions regarding its design and construction. The use of numerical modelling can save time and resources by providing practical and efficient alternatives to traditional laboratory testing methods.
What are the most important factors to consider when developing an accurate material model for predicting deformation and failure?4 answersWhen developing an accurate material model for predicting deformation and failure, several important factors need to be considered. Firstly, the model should account for the specific physical phenomena that occur during the deformation process, such as strain hardening, strain rate hardening, thermal softening, and grain size evolution. Secondly, the model should incorporate the coupling effect of multiple physical fields, such as thermo-mechanical and hydro-mechanical coupling, to accurately capture the deformation and failure of the material. Additionally, the model should take into account the local deformation of the material, as it plays a crucial role in determining failure. Furthermore, the model should consider the formability and workability of the material, as these factors determine the amount of available deformation before failure. Finally, the model should be based on accurate material parameters, obtained through techniques such as compliance of multiple tensile tests and parameter identification using optimization methods.
What are the most common causes of material failure in manufacturing?5 answersThe most common causes of material failure in manufacturing include excessive plastic deformation, instability, creep, stress corrosion, fatigue, and brittle fracture. Failure due to fatigue is particularly common in metal structures. In the case of Additive Manufacturing using Fused Deposition Modeling (FDM), manufacturing defectives such as material gaps, delamination, and matrix cracks can also contribute to failure. Additionally, the development of microdamage under different deformation conditions can lead to failure in metallic materials. Furthermore, soft elastomers like rubber and plastic can experience abrupt cracking under stress.
What are some common seismic design mistakes that lead to construction failures?5 answersCommon seismic design mistakes that lead to construction failures include irregularities in the mass, stiffness, plan, and torsion of structures. Another mistake is the failure to prevent shear banding of tectonic earthquakes from extending to each element of the structure, which can result in serious damage such as cracking, tilting, subsidence, and collapse. Difficulties in applying seismic design rules and requirements, poor detailing, and the influence of nonstructural elements in the structural response are also factors that contribute to poor performance in seismic events. Additionally, the brittle behavior of substandard columns during earthquakes is a common reason for structural failures. Other mistakes include the impact of infill walls on reinforced concrete frames, the seismic bracing effect of non-isolated stairs, and the presence of "soft storeys" with a vertical change in building stiffness.
What are the different failure mechanisms of stone columns?5 answersThe failure mechanisms of stone columns include rigid overturning, shear failure, and bulging failure. Rigid overturning is the main collapse mechanism under uniform horizontal forces, especially in ancient natural stone columns made from multiple blocks or 'drums'. Shear failure can also occur in these columns, depending on various parameters such as the number of drums and geometrical properties. Bulging failure is another mechanism observed in stone columns, where the interaction between the column, geosynthetic encasement, and surrounding soil leads to deformation and failure. The failure behavior of encased stone columns is influenced by factors such as encasement length, relative density, and strength of the encasement material. Additionally, the failure mechanism of stone columns can be affected by the presence of geotextile reinforcement, which helps reduce failure due to lateral bulging.