Identification of critical mechanical parameters for advanced analysis of masonry arch bridges

Enrico Tubaldi, Lorenzo Macorini, Bassam A. Izzuddin

Research output: Contribution to journalArticle

Abstract

The response up to collapse of masonry arch bridges is very complex and affected by many uncertainties. In general, accurate response predictions can be achieved using sophis-ticated numerical descriptions, requiring a significant number of parameters that need to be properly characterised. This study focuses on the sensitivity of the behaviour of masonry arch bridges with respect to a wide range of mechanical parameters considered within a de-tailed modelling approach. The aim is to investigate the effect of constitutive parameters variations on the stiffness and ultimate load capacity under vertical loading. First, advanced numerical models of masonry arches and of a masonry arch bridge are developed, where a mesoscale approach describes the actual texture of masonry. Subsequently, a surrogate kriging metamodel is constructed to replace the accurate but computationally expensive numerical descriptions, and global sensitivity analysis is performed to identify the mechani-cal parameters affecting the most the stiffness and load capacity. Uncertainty propagation is then performed on the surrogate models to estimate the probabilistic distribution of the re-sponse parameters of interest. The results provide useful information for risk assessment and management purposes, and shed light on the parameters that control the bridge behav-iour and require an accurate characterisation in terms of uncertainty.
LanguageEnglish
JournalStructure and Infrastructure Engineering
Publication statusAccepted/In press - 6 May 2019

Fingerprint

Masonry bridges
Arch bridges
masonry
arch
Loads (forces)
Stiffness
Arches
Risk management
Risk assessment
Sensitivity analysis
stiffness
Numerical models
Textures
kriging
sensitivity analysis
Uncertainty
parameter
analysis
risk assessment
texture

Keywords

  • global sensitivity analysis (GSA)
  • masonry arch bridges
  • Kriging
  • local sensitivity analysis (LSA)
  • uncertainty propagation
  • random variables

Cite this

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title = "Identification of critical mechanical parameters for advanced analysis of masonry arch bridges",
abstract = "The response up to collapse of masonry arch bridges is very complex and affected by many uncertainties. In general, accurate response predictions can be achieved using sophis-ticated numerical descriptions, requiring a significant number of parameters that need to be properly characterised. This study focuses on the sensitivity of the behaviour of masonry arch bridges with respect to a wide range of mechanical parameters considered within a de-tailed modelling approach. The aim is to investigate the effect of constitutive parameters variations on the stiffness and ultimate load capacity under vertical loading. First, advanced numerical models of masonry arches and of a masonry arch bridge are developed, where a mesoscale approach describes the actual texture of masonry. Subsequently, a surrogate kriging metamodel is constructed to replace the accurate but computationally expensive numerical descriptions, and global sensitivity analysis is performed to identify the mechani-cal parameters affecting the most the stiffness and load capacity. Uncertainty propagation is then performed on the surrogate models to estimate the probabilistic distribution of the re-sponse parameters of interest. The results provide useful information for risk assessment and management purposes, and shed light on the parameters that control the bridge behav-iour and require an accurate characterisation in terms of uncertainty.",
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Identification of critical mechanical parameters for advanced analysis of masonry arch bridges. / Tubaldi, Enrico; Macorini, Lorenzo; Izzuddin, Bassam A.

In: Structure and Infrastructure Engineering, 06.05.2019.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Identification of critical mechanical parameters for advanced analysis of masonry arch bridges

AU - Tubaldi, Enrico

AU - Macorini, Lorenzo

AU - Izzuddin, Bassam A.

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AB - The response up to collapse of masonry arch bridges is very complex and affected by many uncertainties. In general, accurate response predictions can be achieved using sophis-ticated numerical descriptions, requiring a significant number of parameters that need to be properly characterised. This study focuses on the sensitivity of the behaviour of masonry arch bridges with respect to a wide range of mechanical parameters considered within a de-tailed modelling approach. The aim is to investigate the effect of constitutive parameters variations on the stiffness and ultimate load capacity under vertical loading. First, advanced numerical models of masonry arches and of a masonry arch bridge are developed, where a mesoscale approach describes the actual texture of masonry. Subsequently, a surrogate kriging metamodel is constructed to replace the accurate but computationally expensive numerical descriptions, and global sensitivity analysis is performed to identify the mechani-cal parameters affecting the most the stiffness and load capacity. Uncertainty propagation is then performed on the surrogate models to estimate the probabilistic distribution of the re-sponse parameters of interest. The results provide useful information for risk assessment and management purposes, and shed light on the parameters that control the bridge behav-iour and require an accurate characterisation in terms of uncertainty.

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KW - Kriging

KW - local sensitivity analysis (LSA)

KW - uncertainty propagation

KW - random variables

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