Paolo Castaldo

Paolo Castaldo's picture

Full Professor (L. 240)
Department of Structural, Geotechnical and Building Engineering (DISEG)

  • Vice Head of Department Department of Structural, Geotechnical and Building Engineering
  • Member of Open Access Commission

Profile

Research interests

Bridges and viaducts
Earthquake engineering
Non-linear finite element analysis
Prestressed reinforced concrete structures
Reinforced concrete structures
Safety formats
Seismic isolation
Seismic reliability
Structural assessment
Structural health monitoring
Structural robustness
Structural safety

Biography

Paolo Castaldo è Professore Ordinario di Tecnica delle Costruzioni presso il Dipartimento di Ingegneria Strutturale, Edile e Geotecnica del Politecnico di Torino. E’ membro di differenti Comitati scientifici e normativi (Eurocodici, fib, CNR, AICAP-CTE, CTA, PIARC, Osservatorio per lo Sviluppo Territoriale dell’Università di Salerno). Ha ricoperto diversi ruoli istituzionali del Dipartimento (Vice-Direttore, Referente VQR, Referente LabTT). E’ il delegato italiano della Commission 3 fib “Existing Concrete Structures”. E’ membro di diversi comitati editoriali di riviste scientifiche internazionali e nazionali ed inventore di un brevetto ed autore di molteplici lavori scientifici pubblicati come libro, capitoli di libro, articoli su riviste scientifiche internazionali e nazionali e come atti di convegno internazionali e nazionali.

Scientific branch

CEAR-07/A - Structural Analysis and Design
(Area 0008 - Civil engineering and architecture)

Research topics

  • Effects of deep excavations on reinforced concrete and masonry structures: static and dynamic, deterministic and reliability analyses, taking into account soil-structure interaction, have been developed to evaluate the effects of large underground infrastructures on existing reinforced concrete and masonry structures.
  • Experimental tests of bridge structures: experimental tests of bridge beams have been developed on a 1:1 scale to evaluate the residual safety of existing structures up to collapse and to test various structural health monitoring devices by defining specific alarm thresholds.
  • Machine Learning Applications: Machine learning techniques have been implemented to define the best parameters characterizing seismic events with respect to the prediction of the seismic response of structural systems.
  • Metal structures: deterministic and reliability analyses of steel and aluminum structures have been developed to evaluate the seismic performance of steel structures and the mechanical capacity of aluminum beams.
  • Reliability and robustness of structural systems: new design and verification methodologies are proposed to improve the seismic reliability of reinforced concrete structures and their robustness in case of extreme or exceptional events considering the relevant aleatory uncertainties .
  • Safety of (ordinary and prestressed) reinforced concrete structures: safety assessment of new and existing reinforced concrete and prestressed reinforced concrete structures using "safety formats" based on non-linear numerical analyses (e.g., finite element methods). Specifically, new verification methodologies are proposed that take into account the influence of both aleatory and epistemic uncertainties.
  • Seismic reliability of isolated structural systems: reliability assessment of buildings and bridges isolated by FPS devices. Seismic reliability-based design (SRBD) curves have been proposed to define displacement demand and design FPS isolators, considering the relevant aleatory uncertainties (e.g., structural parameters and seismic input).
  • Supplemental energy dissipation: research of the optimal design of viscous and viscoelastic devices with respect to their mechanical properties and layout in elevation or plan view in order to improve seismic performance.
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Skills

ERC sectors

PE8_3 - Civil engineering, architecture, maritime/hydraulic engineering, geotechnics, waste treatment

SDG

Goal 11: Sustainable cities and communities
Goal 16: Peace, justice and strong institutions

Non-commercial collaboration agreements

Teaching

Collegi of the PhD programmes

  • INGEGNERIA CIVILE E AMBIENTALE, 2024/2025 (40. ciclo)
    Politecnico di TORINO
  • INGEGNERIA CIVILE E AMBIENTALE, 2023/2024 (39. ciclo)
    Politecnico di TORINO
  • INGEGNERIA CIVILE E AMBIENTALE, 2022/2023 (38. ciclo)
    Politecnico di TORINO

Collegi of the degree programmes

Teachings

PhD

MostraNascondi A.A. passati

Bachelor of Science

MostraNascondi A.A. passati

Research

Research fields

Research projects

Projects funded by competitive calls

Projects funded by commercial contracts

Supervised PhD students

Publications

Latest publications View all publications in Porto@Iris