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Multi-Hazard Vulnerability of Unreinforced Masonry Structures

Putrino, Valentina; (2021) Multi-Hazard Vulnerability of Unreinforced Masonry Structures. Doctoral thesis (Ph.D), UCL (University College London).

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Abstract

The purpose of this research study is to develop a methodological framework for the multi-hazard vulnerability assessment of unreinforced masonry structures (URMs) undergoing seismic, flood and wind loading. To date, the two main challenges related to multi-hazard vulnerability assessment are 1) the substantial discrepancy in the level of advancement of single-hazard vulnerability assessment procedures, specifically in relation to the complexity of analytical model used to correlate the level of damage caused to buildings to the hazard component and 2) the conceptual differences in the definition of single-hazard fragility curves to be used to conduct multi-hazard damage assessment in a commensurate manner. Therefore, research effort is still required to develop a harmonized analytical model able to relate the behaviour of masonry structures subjected to earthquake, flood and wind hazard to the corresponding levels of damage to unreinforced masonry structures, to define a common structural parameter for the derivation of single-hazard fragility functions which also allow for damage comparisons between these distinct perils. The framework proposed in this work carries out the assessment at a wall level. The hazard and the exposure components of the vulnerability assessment procedure are taken as inputs for the development of a kinematic model based on revised Yield Line Theory concepts. The main elements of added novelty are the inclusion of the contribution of torsional effects generated at unit level caused by the application of horizontal loadings, and a more refined computation of the crack pattern, defined on the basis of the geometry of the wall and the geometry of the units. Given that several configurations of admissible crack patterns can be identified for the same wall layout subjected to horizontal loading, an optimization routine is built to find, by means of Limit State Analysis, the minimum load required to produce failure corresponding to a specific crack pattern, and the maximum value of the performance variable, defined as the ratio between the demand imposed by the loading and the capacity of the system itself, for the collapse limit state. Such parameter, representative of the strength capacity of the system is then used to derive single-hazard fragility function to conduct collapse assessment. These curves are extracted by considering the variability of the asset, and hence focus on the aleatory aspect of the exposure component, rather than considering the uncertainties associated with each of the hazard’s intensity measure. The variance considered includes geometry, materials, presence of opening and boundary conditions. Comparisons on resulting fragility functions are drawn across seismic, flood and wind hazard, to establish relevance of the above parameters and sensitivity of the fragility functions. The framework is applied to the case study area of the Philippines, to prove the feasibility of the approach proposed.

Type: Thesis (Doctoral)
Qualification: Ph.D
Title: Multi-Hazard Vulnerability of Unreinforced Masonry Structures
Event: UCL (University College London)
Language: English
Additional information: Copyright © The Author 2021. Original content in this thesis is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) Licence (https://creativecommons.org/licenses/by-nc/4.0/). Any third-party copyright material present remains the property of its respective owner(s) and is licensed under its existing terms. Access may initially be restricted at the author’s request.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10127942
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