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Precipitation Gravimetry

Precipitation gravimetry is based on converting an analyte into a sparingly soluble precipitate, which is separated by filtration and weighed. An ideal precipitate should be pure, insoluble, of known composition, and easily filtered from the reaction mixture.
In determining nickel by gravimetric analysis, a precipitant of ethanolic dimethylglyoxime is added to a hot nickel salt solution. This is quickly followed by the dropwise addition of dilute ammonia solution until precipitation occurs. A...
Stress-Strain Diagram - Brittle Materials01:24

Stress-Strain Diagram - Brittle Materials

Brittle materials, including glass, cast iron, and stone, exhibit unique characteristics. They fracture without considerable change in their elongation rate, indicating that their breaking and ultimate strength are equivalent. Such materials also show lower strain levels at the point of rupture. The failure in brittle materials predominantly results from normal stresses, as evidenced by the rupture created along a surface perpendicular to the applied load. These materials do not display...
Elastic Strain Energy for Shearing Stresses01:20

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As discussed in previous lessons, strain energy in a material is the energy stored when it is elastically deformed, a concept crucial in materials science and mechanical engineering. This energy results from the internal work done against the cohesive forces within the material. When a material undergoes shearing stress and corresponding shearing strain, the strain energy density, which is the energy stored per unit volume, is calculated. Within the elastic limit, where the stress is...
Microcracking in Concrete01:20

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Microcracking in concrete refers to the tiny cracks that can form within the material even before any external load is applied. These microcracks typically occur at the interface between the coarse aggregate and the hydrated cement paste, often as a result of differential volume changes prompted by variations in stress-strain behavior, as well as thermal and moisture movement. Initially, these microcracks remain stable and do not grow substantially until the concrete is stressed to about 30...
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Video Experimental Relacionado

Updated: May 11, 2026

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling
06:55

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Published on: August 5, 2016

Ciencias de la Tierra: los datos de microseismicidad pronostican el área de ruptura.

Danijel Schorlemmer1, Stefan Wiemer

  • 1Swiss Seismological Service, ETH Zürich, 8093 Zürich, Switzerland. danijel@sed.ethz.ch

Nature
|April 29, 2005
PubMed
Resumen

El pronóstico preciso de terremotos es posible mediante el análisis de las distribuciones de tamaño de micro-terremotos. Este método puede predecir el área de ruptura de futuros grandes terremotos, mejorando las evaluaciones de riesgos sísmicos.

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Área de la Ciencia:

  • Sismología Sismología Sismología.
  • Ciencia de los terremotos Ciencia de los terremotos Ciencia de los terremotos Ciencia de los terremotos
  • La geofísica es la geofísica.

Sus antecedentes:

  • Un terremoto de magnitud 6.0 ocurrió en Parkfield, California, el 28 de septiembre de 2004.
  • Comprender las áreas de ruptura de terremotos es crucial para la evaluación de los peligros.

Objetivo del estudio:

  • Para demostrar que las distribuciones de tamaño de micro-terremotos pueden predecir el área de ruptura de un choque principal.
  • Explorar el potencial de este método para mejorar futuras evaluaciones de riesgos sísmicos.

Principales métodos:

  • Análisis de las distribuciones de tamaño de los micro-terremotos registrados en las décadas previas al choque principal de Parkfield en 2004.
  • Correlación de los patrones precursores de micro-terremotos con el área de ruptura del choque principal.

Principales resultados:

  • La distribución de tamaño de los micro-terremotos precursores predijo con precisión el eventual área de ruptura del terremoto de Parkfield de 2004.
  • Se estableció una clara relación entre la micro-sismicidad previa al choque principal y la extensión de la ruptura posterior.

Conclusiones:

  • Las distribuciones de tamaño de micro-terremotos ofrecen una herramienta valiosa para pronosticar las áreas de ruptura de terremotos.
  • La aplicación de este enfoque predictivo a otras fallas monitoreadas puede mejorar las evaluaciones de riesgos sísmicos a nivel mundial.