Surface breakage of the 1992 Landers earthquake and its effects on structures

1994 ◽  
Vol 84 (3) ◽  
pp. 547-561
Author(s):  
Carlos A. Lazarte ◽  
Jonathan D. Bray ◽  
Arvid M. Johnson ◽  
Robert E. Lemmer

Abstract The Landers, California, earthquake (Mw = 7.3) provides an exceptional opportunity to study surface rupture of an earthquake fault. Detailed maps of the lateral distribution of fracturing adjacent to main traces show that rupture patterns are much more complex than documented in past studies of surface ruptures. The rupture occurs in tabular zones, up to hundreds of meters wide. A main trace within each rupture zone accommodates much of the shear deformation, but considerable fracturing occurs throughout the tabular zone. The en-echelon pattern of fracturing in step-over zones between main traces is typically even more complex than those along major fault zones. Inspection of several on-grade concrete slabs indicates that unreinforced concrete foundations generally crack when subjected to distinct ground ruptures beneath them or when they are twisted because of differential ground movements across broad zones. Methods of mitigating the potential hazards associated with earthquake fault rupture are presented.

1999 ◽  
Vol 18 (12) ◽  
pp. 1414-1416
Author(s):  
Kazuki Koketsu ◽  
Takashi Furumura

1994 ◽  
Vol 84 (3) ◽  
pp. 625-645 ◽  
Author(s):  
K. W. Hudnut ◽  
Y. Bock ◽  
M. Cline ◽  
P. Fang ◽  
Y. Feng ◽  
...  

Abstract We present co-seismic displacement vectors derived from Global Positioning System (GPS) measurements of 92 stations in southern California. These GPS results are combined with five well-determined GPS displacement vectors from continuously tracking stations of the Permanent GPS Geodetic Array, as well as line-length changes from USGS Geodolite and two-color laser trilateration observations, to determine a self-consistent set of geodetic data for the earthquake. These combined displacements are modeled by an elastic dislocation representation of the primary fault rupture planes. On average, the model residuals are about twice the estimated measurement errors.


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