Luís Santos

ORCID: 0000-0002-0009-8752
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About
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Research Areas
  • Structural Engineering and Vibration Analysis
  • Structural Load-Bearing Analysis
  • Cellular and Composite Structures
  • Structural Behavior of Reinforced Concrete
  • Composite Structure Analysis and Optimization
  • Structural Health Monitoring Techniques
  • Structural Analysis and Optimization
  • Structural Engineering and Materials Analysis
  • Model Reduction and Neural Networks
  • EEG and Brain-Computer Interfaces
  • Vibration and Dynamic Analysis
  • Probabilistic and Robust Engineering Design
  • Topology Optimization in Engineering
  • Mechanical Engineering and Vibrations Research
  • Neural Networks and Applications
  • Seismic and Structural Analysis of Tall Buildings
  • Male Reproductive Health Studies
  • Structural Analysis of Composite Materials
  • Seismic Performance and Analysis
  • Polymer composites and self-healing
  • Multilingual Education and Policy

London South Bank University
2022-2024

Imperial College London
2018-2022

Stevens Institute of Technology
2020

Central University of Kerala
2020

Institute of Applied Science and Intelligent Systems
2020

Istanbul Technical University
2020

Amrita Vishwa Vidyapeetham
2020

Kakatiya University
2020

Universidade do Porto
2018

The use of periodical elliptically-based web (EBW) openings in high strength steel (HSS) beams has been increasingly popular recent years mainly because the strength-to-weight ratio and reduction floor height as a result allowing different utility services to pass through openings. However, these sections are susceptible web-post buckling (WPB) failure mode therefore it is imperative that an accurate design tool made available for prediction capacity. Therefore, present paper aims implement...

10.1016/j.rineng.2024.101749 article EN cc-by Results in Engineering 2024-01-07

Stainless steel has many advantages when used in structures, however, the initial cost is high. Hence, it essential to develop reliable and accurate design methods that can optimize material. As novel, soft computation methods, machine learning provided more predictions than analytical formulae solved highly complex problems. The present study aims models predict cross-section resistance of circular hollow section stainless stub column. A parametric conducted by varying diameter, thickness,...

10.1016/j.engappai.2024.107952 article EN cc-by Engineering Applications of Artificial Intelligence 2024-02-15

This paper aims to propose an Artificial Neural Network (ANN) model that predicts accurately web-post buckling resistance and failure mode of steel beams with elliptically-based openings. A total 4,344 5,400 geometrical models, were developed by finite element method (FEM) used train, validate test the ANN for classification, respectively. It was concluded five neurons sufficient predict high level accuracy. The height web thickness had positive impact capacity while openings height, width...

10.1016/j.tws.2022.109959 article EN cc-by Thin-Walled Structures 2022-08-22

Seismic design of concentrically X-braced steel frames to Eurocode 8 entails several difficulties practitioners, often resulting in excessively heavy structural solutions. The main objective the research presented this paper is propose modifications existing provisions code aiming achieve more efficient designs. A number possible amendments European seismic are examined, concerning non-dimensional slenderness parameter and homogenous dissipative behaviour criterion. It found that relaxation...

10.1080/13632469.2018.1528912 article EN Journal of Earthquake Engineering 2018-10-16

Abstract When subjected to bending loads, sandwich panels are highly efficient structural components with the potential achieve substantial weight reduction. A successful design methodology for should aim at maximising this reduction while considering various possible failure mode in a simple yet accurate manner. This paper investigates application of steel as two-way deck systems. Near-optimal designs all-steel Rectangular Honeycomb Core Sandwich Panels (RHCSPs) under general out-of-plane...

10.1007/s00158-022-03341-7 article EN cc-by Structural and Multidisciplinary Optimization 2022-08-17

Modern design methods for sandwich panels must attempt to maximise the potential of such systems weight reduction, thus achieving highly optimised structural components. A successful method large-scale requires consideration every possible failure mode. An accurate prediction various modes is not only necessary but it should also utilise a simple approach that suitable practical application. To fulfil these requirements, mechanics-based proposed in this paper assess local buckling phenomena...

10.1680/jencm.18.00021 article EN Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics 2018-06-01

The considerably superior specific strength and stiffness of sandwich panels in relation to conventional structural components makes their employment for two-way spanning applications a highly attractive option. An effective high-fidelity numerical modelling strategy large-scale metal is presented this paper, which enables the capturing various forms local buckling its progression over panel domain, alongside effects material non-linearity spread plasticity. further enhanced with novel...

10.1680/jencm.18.00022 article EN Proceedings of the Institution of Civil Engineers - Engineering and Computational Mechanics 2018-06-01
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