Optimal ductility enhancement of RC framed buildings considering different non-invasive retrofitting techniques

Requena-Garcia-Cruz, María-Victoria; Morales‐Esteban, Antonio; Neyra, Percy Durand

doi:10.1016/j.engstruct.2021.112572

Cited by 9 publications

(3 citation statements)

References 35 publications

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“…In the case of RC buildings, damage in the vertical components is considerably more usual than in the beams, as concluded in several works (Requena-Garcia-Cruz et al, 2021;Caruso, 2019). Hence, in this work, the damage in the structural components has only been considered for the columns.…”

Section: Seismic Safety and Damage Analysismentioning

confidence: 99%

Numerical investigation of the contribution of the soil-structure interaction effects to the seismic performance and the losses of RC buildings

Requena-Garcia-Cruz

Romero-Sánchez

Morales‐Esteban

2022

Developments in the Built Environment

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Section: Seismic Safety and Damage Analysismentioning

confidence: 99%

Numerical investigation of the contribution of the soil-structure interaction effects to the seismic performance and the losses of RC buildings

Requena-Garcia-Cruz

Romero-Sánchez

Morales‐Esteban

2022

Developments in the Built Environment

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“…In this regard, the initial parameters coming from MIT2019 can be implemented according to a Bayesian approach [16,[19][20][21]. The determination of reliable structural models characterized with proper mechanical values is not only important to determine the safety level of a structure, but it also concerns evaluation of the strengthening solutions to be proposed [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Knowledge-Based Investigation of Seismic Vulnerability Assessment and Compatible Strengthening Design of an Existing Masonry Building

Cristofaro

Tanganelli

2023

Applied Sciences

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Most existing masonry buildings were built without following code regulations for seismic criteria. Hence, their performance compared to the demands of the current codes, for both seismic and static actions, could be very low. In engineering practice, strengthening interventions can be pursued at different levels, based on qualitative assessments of masonry structures. Firstly, the structures are evaluated through in situ inspections. Then, based on the structural system of the building a strengthening design is proposed. The design can be targeted at guaranteeing a box behavior of structures acting through macro-elements, or at strengthening the in-plane capacity of piers and spandrels. However, lower cognitive levels may drive inaccurate impressions about the capacity of structures, leading to unreliable strengthening solutions. While in some cases the confidence factor could underestimate the effects of the reinforcements, in other cases lower knowledge levels could lead to incorrect reinforcements that do not provide helpful solutions. In this paper, the issues concerning the strengthening design of masonry structures are presented and discussed with regard to an existing building. The construction is a 20th century masonry building used as a nursing home for elderly persons. The study follows a knowledge-based procedure where, after achievement of the highest knowledge level and the proposal of compatible and effective strengthening interventions, the analysis of the potential effects of achieving lower knowledge levels is discussed both in terms of vulnerability computations and in terms of strengthening effectiveness. Regarding vulnerability assessment, a lower knowledge level leads to non-conservative results, with an increase in the estimated capacity of around 80%. Critical evaluation of the different configurations for the case study makes it clear that for the considered masonry building the mortar investigation represented the most important parameter to be investigated. The proposal of strengthening interventions before assessment of this parameter may lead to ineffective improvements resulting in index values lower than 0.60. The study represents the opportunity to assess comparisons in the setting of different investigation strategies and their effect on the definition of the strengthening solutions.

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“…Many of them were built mainly in the 1970s, before the applications of building and seismic codes. Therefore, they are potentially susceptible to seismic damage as reported in [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Fragility Assessment of Rc Buildings in Southern Spain Based on Neural Network Predictions

de Miguel-Rodríguez,

Requena-García-Cruz,

Romero-Sánchez

et al. 2023

Proceedings of the 8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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The computational burden needed to perform a fragility analysis of structures can be excessive and beyond the capability of regular computing systems. In this work, a Neural Network (NN) implementation is presented to make fragility analyses attainable. Neural Networks allow finding solutions to complex problems at a fraction of the computational time required by conventional analyses. The fragility assessment has been developed for low-and mid-rise 3D buildings located in southern Spain, a moderate earthquake prone area. Nonlinear static analyses are carried out to determine the capacity curves of reinforced concrete buildings, avoiding their specific modelling. The curves are predicted with minimal error, requiring only basic geometric and material parameters of the structures to be specified. Four levels of performance-based seismic design have been considered to assess the seismic performance. Fragility curves have been developed for the structural models with different types of structural configurations and heights. Finally, it should be noted that fragility curves have not been obtained to date for the reinforced concrete buildings of the area.

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Optimal ductility enhancement of RC framed buildings considering different non-invasive retrofitting techniques

Cited by 9 publications

References 35 publications

Numerical investigation of the contribution of the soil-structure interaction effects to the seismic performance and the losses of RC buildings

Numerical investigation of the contribution of the soil-structure interaction effects to the seismic performance and the losses of RC buildings

Knowledge-Based Investigation of Seismic Vulnerability Assessment and Compatible Strengthening Design of an Existing Masonry Building

Fragility Assessment of Rc Buildings in Southern Spain Based on Neural Network Predictions

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