Role of Geological Vulnerability of Underground Space to Penetration Effect in Geoscience Data

Geological vulnerability played a significant role in underground space to penetration effect that will be a critical issue in the research field on data prediction and decision-support of geoscience data. Based on the results of a mountainous land research data related to military geoscience, this paper proposes that rock penetrability S-value and dominant joint of rocks are important geological variables of underground space to penetration effect. The research results further indicate that: (1) host rock penetrability classification standard according to S-value can be divided into three levels: anti-strike <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathrm{S}\leqslant 1.0)$</tex>, Medium(1.0 < S < 2.0) and easy-strike <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(\mathrm{S}\geqslant$</tex> 2.0), which defines that the varieties of rock penetrability from weak to strong are the results of andesite, gneiss, granite, diorite, basalt, sandstone, pyroclastic rock, marble, limestone and claystone, and live in accordance with the hard rock environment in cases; (2) full penetrability depth can be increased by projectile warhead paralleling penetration along dominant joint plane. In cases the full penetrability depths are defined at 11.76 m in gneiss, 12.82 m in granite and 7.07 m in basalt, and critical safety depths of underground space are determined to be at 39 m in gneiss, 33 m in granite and 27 m in basalt, which are also min-threshold with rock weathering zone thickness to the safety depth of the underground facilities as geological quantitative evaluation methods; and (3) the role of geological vulnerability should be some intersection positions of rock with strong penetrability, different variety of geological interfaces and linear structures with dominant occurrences, and geological spatial domains could be favorable weakpoints of underground space to penetration effect into host rock. Above research advances will not only enhance multifaceted approach to the processing mechanism of geoscience data, but also promote the multidata quantitative information model application in military geoscience.