Luís Bernardo

Associate Professor with Aggregation

Universidade da Beira Interior

Portugal

Research Interests

Explore related searches

Professors in Portugal

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Luís Bernardo is an Associate Professor with Aggregation at Universidade da Beira Interior in Portugal. His research focuses on areas such as soil mechanics, lightweight cement materials, and structural resilience in infrastructure. He has recently contributed to articles on topics including desiccation-induced cracking in clay soils, machine learning applications in construction productivity, and the effects of composite materials on mechanical properties of asphalt and concrete.

Articles (20)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Collaborators (4)

Miguel Nepomuceno

Associate Professor

Universidade da Beira Interior

PORTUGAL

View details

Krzysztof Ostrowski

Professor assistant

Cracow University of Technology

POLAND

View details

Tiago P. Ribeiro

Universidade da Beira Interior

PORTUGAL

View details

Hayder Al Hawesah

Liverpool John Moores University

UNITED KINGDOM

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Luís Bernardo

Research Interests

Explore related searches

Contact this professor

About

Articles (20)

Modeling and Mechanisms of Desiccation-Induced Cracking and Curling in Clay Soils: A State-of-the-Art Review

Simultaneous Effects of Perlite Fine Aggregate and Silica Fume on the Physical Properties of Lightweight Cement Mortars

Explainable Machine Learning-Based Estimation of Labor Productivity in Rebar-Fixing Tasks

Mechanical Properties and Microstructure of High-Performance Cold Mix Asphalt Modified with Portland Cement

Predicting the Bearing Capacity of Shallow Foundations on Granular Soil Using Ensemble Machine Learning Models

Enhancing Structural Resilience for Sustainable Infrastructure: A Global Review of Seismic Isolation and Energy Dissipation Practices

Investigation of the Effects of Water-to-Cement Ratios on Concrete with Varying Fine Expanded Perlite Aggregate Content

Effect of Cement Kiln Dust on the Mechanical and Durability Performance of Asphalt Composites

Investigating the Properties of Composite Cement-Based Mortar Containing High Volumes of GGBS and CCR

Stabilization of Clay Subgrade Soil by Using Waste Foundry Sand with a Geogrid

Random Forest Algorithm for the Strength Prediction of Geopolymer Stabilized Clayey Soil

Assessment of Soil–Structure Interaction Approaches in Mechanically Stabilized Earth Retaining Walls: A Review

A Review of Recent Improvements, Developments, Effects, and Challenges on Using Phase-Change Materials in Concrete for Thermal Energy Storage and Release

Recent Advances on The Applications of Phase Change Materials in Cold Thermal Energy Storage: A Critical Review

XGBoost Prediction Model Optimized with Bayesian for the Compressive Strength of Eco-Friendly Concrete Containing Ground Granulated Blast Furnace Slag and Recycled Coarse Aggregate

The Machine-Learning-Based Prediction of the Punching Shear Capacity of Reinforced Concrete Flat Slabs: An Advanced M5P Model Tree Approach

Shear Strength Prediction of Steel-Fiber-Reinforced Concrete Beams Using the M5P Model

Modeling the Tensile Behavior of Fiber-Reinforced Strain-Hardening Cement-Based Composites: A Review

Prediction of the Bearing Capacity of Composite Grounds Made of Geogrid-Reinforced Sand over Encased Stone Columns Floating in Soft Soil Using a White-Box Machine Learning Model

Torsional Capacity Prediction of Reinforced Concrete Beams Using Machine Learning Techniques Based on Ensembles of Trees

Collaborators (4)

Miguel Nepomuceno

Krzysztof Ostrowski

Tiago P. Ribeiro

Hayder Al Hawesah

Make your next move.