Geotechnical variability of the soils of Quito, Ecuador: a geodatabase study

Author:

Othman M.M.ORCID,Hen-Jones R.ORCID,Zapata C.ORCID,Jiménez E.ORCID,De Luca F.ORCID,Holcombe E.A.ORCID,Vardanega P.J.ORCID

Abstract

AbstractThis paper presents a new geotechnical database for the soils of Quito, Ecuador. The geotechnical database is then used to investigate the best fit probability distributions for the key geotechnical parameters contained in the database. Using the Akaike information criteria for best fit selection, SPT (N), plasticity index, Vs30, peak friction angle (direct shear), and apparent cohesion (triaxial) are best represented by a Weibull distribution. The peak friction angle (triaxial) is best fitted with a truncated normal distribution. The database is also used to develop transformation models to allow for the estimation of more complex geotechnical parameters from intrinsic ones. This analysis shows that the transformation model between Vs30 and SPT (N) has high coefficients of determination and is statistically significant. Finally, the systematic collection of information in the database is used to investigate the assumption, based on engineering judgement by local practitioners, that soil derived from volcanic deposits and volcano-lacustrine sediments in the northern part of Quito has different geotechnical properties with respect to the southern zone of the city beyond the value of shear wave velocity whose difference is embedded in the soil classification map of the seismic code.

Funder

UK Research and Innovation

Al-Zaytoonah University of Jordan

Publisher

Springer Science and Business Media LLC

Subject

Geology,Geotechnical Engineering and Engineering Geology

Reference81 articles.

1. Aguiar R, Rivas-Medina A, Caiza P, Quizanga D (2017) Control spectra for Quito. Nat Hazards Earth Syst Sci 17(3):397–407. https://doi.org/10.5194/nhess-17-397-2017

2. Akaike H (1974) A new look at the statistical model identification. IEEE Trans Autom Control 19(6):716–723. https://doi.org/10.1109/TAC.1974.1100705

3. Almeida S, Holcombe EA, Pianosi F, Wagener T (2017) Dealing with deep uncertainties in landslide modelling for disaster risk reduction under climate change. Nat Hazards Earth Syst Sci 17(2):225–241. https://doi.org/10.5194/nhess-17-225-2017

4. Alvarado A, Hibsch C, Pérez VH (2013) Nuevos aportes para la geología del área de Quito y análisis de la paleosismicidad. Departamento de Geología EPN. Instituto Francés de Estudios Andinos Quito. Instituto Geofísico EPN

5. Ang AH, Tang WH (2007) Probability concepts in engineering: emphasis on applications to civil and environmental engineering, 2nd edn. Wiley, pp 1–3

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3