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ZENODO
Dataset . 2025
Data sources: ZENODO
ZENODO
Dataset . 2025
Data sources: Datacite
ZENODO
Dataset . 2025
Data sources: Datacite
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ADVANCED METHODS OF USING LOESS SOILS IN SEISMIC AREAS

Authors: A.E.Berdimurodov; A.A.Muminov;

ADVANCED METHODS OF USING LOESS SOILS IN SEISMIC AREAS

Abstract

The use of loess soils in seismic zones, especially in areas with a high risk of earthquakes, is quite complex and requires caution. Advanced methods for utilizing loess soils in seismic zones are based on specific technologies and approaches. These methods are crucial for effective and safe earthquake-resistant construction. Loess soils can be vulnerable to seismic impacts; therefore, it is important to properly manage and prepare them. A number of advanced technologies and methods are employed to ensure the safety of construction in such areas. Below are advanced methods for using loess soils in seismic zones. We will examine ways to mitigate these risks.

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average