Stress‐Strain Evolution During Peak‐Ring Formation: A Case Study of the Chicxulub Impact Structure
Stress‐Strain Evolution During Peak‐Ring Formation: A Case Study of the Chicxulub Impact Structure
复制标题
峰环形成过程中的应力应变演化:希克苏鲁伯冲击结构的案例研究
DOI:
10.1029/2018je005821
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发表时间:
2019
期刊:
影响因子:
--
通讯作者:
IODP-ICDP Expedition 364 Scientists
中科院分区:
文献类型:
--
作者:
Collins;Poelchau;Riller;Davison;Grieve;Osinski;Morgan;IODP-ICDP Expedition 364 Scientists
Deformation is a ubiquitous process that occurs to rocks during impact cratering; thus, quantifying the deformation of those rocks can provide first‐order constraints on the process of impact cratering. Until now, specific quantification of the conditions of stress and strain within models of impact cratering has not been compared to structural observations. This paper describes a methodology to analyze stress and strain within numerical impact models. This method is then used to predict deformation and its cause during peak‐ring formation: a complex process that is not fully understood, requiring remarkable transient weakening and causing a significant redistribution of crustal rocks. The presented results are timely due to the recent Joint International Ocean Discovery Program and International Continental Scientific Drilling Program drilling of the peak ring within the Chicxulub crater, permitting direct comparison between the deformation history within numerical models and the structural history of rocks from a peak ring. The modeled results are remarkably consistent with observed deformation within the Chicxulub peak ring, constraining the following: (1) the orientation of rocks relative to their preimpact orientation; (2) total strain, strain rates, and the type of shear during each stage of cratering; and (3) the orientation and magnitude of principal stresses during each stage of cratering. The methodology and analysis used to generate these predictions is general and, therefore, allows numerical impact models to be constrained by structural observations of impact craters and for those models to produce quantitative predictions.
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DOI:
--
发表时间:
2017
期刊:
影响因子:
--
作者:
G. Collins;N. Patel;A. Rae;T. Davison;J. Morgan;S. Gulick
通讯作者:
S. Gulick
DOI:
--
发表时间:
1995
期刊:
影响因子:
--
作者:
C. Hayhurst;H. Ranson;D. Gardner;N. Birnbaum
通讯作者:
N. Birnbaum
DOI:
10.1007/3-540-27548-7_2
发表时间:
2005
期刊:
--
影响因子:
--
作者:
H. Melosh
通讯作者:
H. Melosh
DOI:
--
发表时间:
1977
期刊:
--
影响因子:
--
作者:
M. Dence;R. Grieve;P. Robertson
通讯作者:
M. Dence;R. Grieve;P. Robertson
影响因子:
4.8
作者:
Collins, G. S.
通讯作者:
Collins, G. S.