Your Twin learns with you

30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Sara Rios

Has grant

University of Porto
Country flagPortugal

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

Recent Grants

Grant: Close

SAFETY - Stability Analysis For Enhanced Tailings storage facilities

Open Date: 2022-01-01

Close Date: 2024-12-31

Grant: Close

Sustainable ground improvement solutions for cohesionless soils under cyclic loads

Open Date: 2019-06-03

Close Date: 2025-06-02

Grant: Close

Soil Improvement for geotechnical structures under cyclic loads

Open Date: 2018-09-03

Close Date: 2019-06-02

Grant: Close

LIQUEFACT - Assessment and mitigation of liquefaction potential across Europe: a holistic approach to protect structures / infrastructures for improved resilience to earthquake-induced liquefaction disasters

Open Date: 2017-09-01

Close Date: 2019-10-31

Grant: Close

Otimização das reações de geopolimerização de resíduos industriais para estabilização de solos

Open Date: 2013-09-01

Close Date: 2020-03-01

Articles (6)

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

A large set of undrained compression triaxial tests was carried out on different types of cohesionless soils, from sands to silty sands and silts. Shear wave velocity measurements were also carried out. These tests exhibit distinct state transitions ranging from flow liquefaction to strain softening or strain hardening. With the purpose of defining a framework to assess soil liquefaction, it was found that the ratio between the shear wave velocity (VS0) and the peak undrained deviatoric stress (qpeak), VS0/qpeak, could be accurately used to define a boundary between liquefaction and strain hardening for sands and between strain softening and strain hardening for silty sands and silts. Since this ratio is a function of the tested material, the prediction of these boundaries can be made as a function of soil grading, namely via the coefficient of uniformity, CU. Despite not being regarded as a strong geomechanical parameter, CU is easily determined from a grain-size distribution test and has an empirically proven correlation with critical state parameters.

Year:

2023

Collaborators (6)

Fausto Molina-Gómez

Lecturer

Universidad Politécnica de Madrid

SPAIN
View details

Eduardo Fortunato

Invited Full Professor

Universidade do Porto Faculdade de Engenharia

PORTUGAL
View details

José Nuno Varandas

Assitant Professor

Faculdade de Ciências da Universidade de Lisboa

PORTUGAL
View details

Marcelo Heidemann

Professor

Universidade Federal de Santa Catarina

BRAZIL
View details

Marcos Arroyo

Universitat Politècnica de Catalunya

SPAIN
View details

Miguel Ángel Mánica Malcom

National Autonomous University of Mexico

View details