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Herrera Airport. Group 2 Michael Ming Hei CalTech María C Araya RSN Cecilio Morales FUNVISIS Dorian Restrepo CMU Kenny García FUNVISIS Claude Jean- Poix Haiti Gov. Outline. Methods HVSR REMI MASW SPAC Results Conclusions. N. Herrera Airport ( ReMI , Masw and SPAC).
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Herrera Airport Group 2 Michael Ming HeiCalTech María C Araya RSN Cecilio Morales FUNVISIS Dorian Restrepo CMU Kenny García FUNVISIS Claude Jean-PoixHaitiGov
Outline • Methods • HVSR • REMI • MASW • SPAC • Results • Conclusions N Herrera Airport (ReMI, Masw and SPAC) HSVR West Profile HVSR East Profile
HVSR • HVSR • Profile1 and Profile2 N East Profile West Profile
HVSR Result East Profile West Profile
ReMi – MASW Profiles • 3 profiles Remi & MASW 1 Remi 2 Remi 3
Methods • SPAC • TwoArrays Array 2 Array 1
SPAC: Three step procedure Geopsy Spac2disp dinver TARGETED PROFILE
Results At Herrera Airport • SPAC South • ReMi 1 (Black solid line)
Results At Herrera Airport • SPAC North • ReMi 2 (Black solid line)
Conclusions Herrera Airport
Conclusions HVSR 3 periods for each site discarded the biggest cause of high uncertainty. The other 2 were between 0.3 - 0.4 hz and 0.8 - 1.4 hz • MASW • The only profile was compared with REMI showing a good fit between them • REMI • 5 layers • Max depth around160m and > 2000 m/s for Vs. • Low velocity layer between 45 - 100m of depth • Airport soil is Class B • SPAC • No low frequencies at the p-f plot, which make it difficult to identify this range. • Spac results present high misfit. They however are in good agreement with other methods
Conclusions HVSR • High influence on high frequencies. • Uncertainty in the analysis. • Provides a fast estimate of the basin shape and depth. • MASW • Easy to make the site caracterizacion but it takes more time for the acquition of data. • REMI • Easy to classify a site and do the caracterization. • Very fast analysis, and good resolution of penetration. • SPAC • Time consuming on data acquisition and analysis. • Special needs for the site to be able to do the acquisition.
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