Marco mucciarelli (6 Ergebnisse)

Autor
Mit der Detailsuche verfeinern

Optimieren Sie Ihre Suche

  • Bücher (6)

  • Neu (6)

bis

Benutzerdefinierte Preisspanne (EUR)

bis

    • Sprache: Italienisch

      Verlag: ilmiolibro self publishing, 2012

      889100796X / 9788891007964

      • Softcover

      Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books

      Verkäufer/-in mit 5 Sternen
      Verkäufer/-in kontaktieren

      Zustand: Neu

      EUR 17,04

      EUR 11,67 Versand 
      Versand von Vereinigtes Königreich nach USA

      Anzahl: 1 verfügbar

      Paperback. Zustand: Brand New. 112 pages. Italian language. 6.77x4.49x0.28 inches. In Stock.

    • Sprache: Englisch

      Verlag: Springer, 2008

      140209194X / 9781402091940

      • Softcover

      Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections

      Verkäufer/-in mit 5 Sternen
      Verkäufer/-in kontaktieren

      Zustand: Neu

      EUR 227,20

      EUR 13,17 Versand 
      Versand von Vereinigtes Königreich nach USA

      Anzahl: Mehr als 20 verfügbar

      Zustand: New. In English.

    • Sprache: Englisch

      Verlag: Springer, 2008

      1402091931 / 9781402091933

      • Hardcover

      Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections

      Verkäufer/-in mit 5 Sternen
      Verkäufer/-in kontaktieren

      Zustand: Neu

      EUR 227,20

      EUR 13,17 Versand 
      Versand von Vereinigtes Königreich nach USA

      Anzahl: Mehr als 20 verfügbar

      Zustand: New. In English.

    • Weitere Bilder

      Sprache: Englisch

      Verlag: Springer Nature B.V., 2008

      140209194X / 9781402091940

      • Softcover

      Anbieter: preigu, Osnabrück, Deutschlandpreigu

      Verkäufer/-in mit 5 Sternen
      Verkäufer/-in kontaktieren

      Zustand: Neu

      EUR 184,95

      EUR 70,00 Versand 
      Versand von Deutschland nach USA

      Anzahl: 5 verfügbar

      Taschenbuch. Zustand: Neu. Increasing Seismic Safety by Combining Engineering Technologies and Seismological Data | Marco Mucciarelli (u. a.) | Taschenbuch | xvii | Englisch | 2008 | Springer Nature B.V. | EAN 9781402091940 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

    • Sprache: Englisch

      Verlag: Springer Nature B.V., 2008

      140209194X / 9781402091940

      • Softcover

      Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

      Verkäufer/-in mit 5 Sternen
      Verkäufer/-in kontaktieren

      Zustand: Neu

      EUR 297,68

      EUR 30,50 Versand 
      Versand von Deutschland nach USA

      Anzahl: 2 verfügbar

      Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The current state-of-the-art allows seismologists to give statistical estimates of the probability of a large earthquake striking a given region, identifying the areas in which the seismic hazard is the highest. However, the usefulness of these estimates is limited, without information about local subsoil conditions and the vulnerability of buildings. Identifying the sites where a local ampli cation of seismic shaking will occur, and identifying the buildings that will be the weakest under the seismic shaking is the only strategy that allows effective defence against earthquake damage at an affordable cost, by applying selective reinforcement only to the structures that need it. Unfortunately, too often the Earth's surface acted as a divide between seism- ogists and engineers. Now it is becoming clear that the building behaviour largely depends on the seismic input and the buildings on their turn act as seismic sources, in an intricate interplay that non-linear phenomena make even more complex. These phenomena are often the cause of observed damage enhancement during past ear- quakes. While research may pursue complex models to fully understand soil dyn- ics under seismic loading, we need, at the same time, simple models valid on average, whose results can be easily transferred to end users without prohibitive expenditure. Very complex models require a large amount of data that can only be obtained at a very high cost or may be impossible to get at all.

    • Sprache: Englisch

      Verlag: Springer, 2008

      1402091931 / 9781402091933

      • Hardcover

      Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

      Verkäufer/-in mit 5 Sternen
      Verkäufer/-in kontaktieren

      Zustand: Neu

      EUR 297,68

      EUR 30,50 Versand 
      Versand von Deutschland nach USA

      Anzahl: 1 verfügbar

      Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The current state-of-the-art allows seismologists to give statistical estimates of the probability of a large earthquake striking a given region, identifying the areas in which the seismic hazard is the highest. However, the usefulness of these estimates is limited, without information about local subsoil conditions and the vulnerability of buildings. Identifying the sites where a local ampli cation of seismic shaking will occur, and identifying the buildings that will be the weakest under the seismic shaking is the only strategy that allows effective defence against earthquake damage at an affordable cost, by applying selective reinforcement only to the structures that need it. Unfortunately, too often the Earth's surface acted as a divide between seism- ogists and engineers. Now it is becoming clear that the building behaviour largely depends on the seismic input and the buildings on their turn act as seismic sources, in an intricate interplay that non-linear phenomena make even more complex. These phenomena are often the cause of observed damage enhancement during past ear- quakes. While research may pursue complex models to fully understand soil dyn- ics under seismic loading, we need, at the same time, simple models valid on average, whose results can be easily transferred to end users without prohibitive expenditure. Very complex models require a large amount of data that can only be obtained at a very high cost or may be impossible to get at all.