Joaquim L. R. Dias

ORCID: 0000-0003-4861-9753
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About
Contact & Profiles
Research Areas
  • Infrastructure Maintenance and Monitoring
  • Facilities and Workplace Management
  • Structural Load-Bearing Analysis
  • 3D Surveying and Cultural Heritage
  • Composite Structure Analysis and Optimization
  • Advanced Manufacturing and Logistics Optimization
  • Multi-Agent Systems and Negotiation
  • Topology Optimization in Engineering
  • Data Management and Algorithms
  • Building Energy and Comfort Optimization
  • Mechanical stress and fatigue analysis
  • Service-Oriented Architecture and Web Services
  • Constraint Satisfaction and Optimization
  • Sustainable Building Design and Assessment
  • Semantic Web and Ontologies

University of Lisbon
2011-2020

Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento
2015-2020

Instituto Politécnico de Lisboa
2011-2013

The use of service life prediction tools can allow a more rational management the maintenance building and its components by supporting reduced cycle costs constructed assets. A study was conducted to evaluate degradation facades buildings located in Lisbon, Portugal, which visual in-situ inspections 140 stone cladding were completed. Based on this information, different models proposed describe masonry stone-clad novel approach predicting developed. description is provided for artificial...

10.1080/09613218.2011.617095 article FR Building Research & Information 2011-10-31

Service life prediction is assuming a primary role as it allows more rational use of scarce resources; its methods are useful for defining preventive maintenance plans, thereby increasing performance and reducing costs. A new mathematical model presented that uses artificial neural networks to evaluate the service painted surfaces. The data on facade degradation were collected from field observations 160 buildings (220 surfaces) in Lisbon, Portugal, examining several agents. In conditions,...

10.1080/09613218.2013.819551 article EN Building Research & Information 2013-08-12

10.1016/j.tws.2015.07.025 article EN publisher-specific-oa Thin-Walled Structures 2015-08-07

The definition of models to evaluate the durability buildings can be a challenging task due large set variables, and their complexity, which affect performance buildings. Recently, several methodologies have been developed predict service life components. knowledge acquired through these allowed for adopting more rational sustainable solutions. This study proposes application artificial neural networks (ANNs) estimate ceramic claddings in Brasília, Brazil. variables that impact are...

10.1061/(asce)cf.1943-5509.0001471 article EN Journal of Performance of Constructed Facilities 2020-06-19

This paper describes the creation of a domain ontology to represent knowledge populate base be used by agents, in environment Internet Infrastructure routing domains. Protégé 5 was used, which produces results suitable for both software-developed agents and humans. The created with is explicit has itself inference machines capable producing implicit knowledge. resources available are presented made public use.The content produced will Structure Knowledge Acquisition, Use, Learning...

10.5753/wpietf.2021.15778 article EN 2021-07-05
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