Comparative Assessment of Strut Models for the Modelling of in-Plane Seismic Response of Infill Walls

Liberatore, Laura; Noto, Fabrizio; Mollaioli, Fabrizio; Franchin, Paolo

doi:10.7712/120117.5643.17476

Cited by 19 publications

(11 citation statements)

References 20 publications

(27 reference statements)

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“…These studies provide diverse sets of valuable information on experimental investigations of infilled frames. However, to date, only Liberatore et al (2017) provided public access to their electronic data.…”

Section: Introductionmentioning

confidence: 99%

“…Masonry infill panels are commonly used as non-structural walls and partitions in reinforced concrete (RC) and steel frame buildings (Shing and Mehrabi, 2002). Extensive studies have been carried out to investigate the seismic behavior of masonry-infilled frames, especially the influence of frame–infill interaction on overall structural performance (Asteris et al, 2011; Liberatore et al, 2017; Noh et al, 2017). However, the design and assessment of infilled frame structures remains a challenging task.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, several studies have made efforts to develop databases for infilled frame experiments. Liberatore et al (2017) assembled a database of 116 masonry-infilled RC frames, 7 masonry-infilled steel frames, and 39 confined masonry specimens and used them to assess and modify a series of analytical equations for characterizing the in-plane response of infilled frames. In the supplementary material, they provided a table with metadata and structural properties (with varying levels of detail) from each experiment and an excel spreadsheet with the parameters computed using their proposed equations.…”

Section: Introductionmentioning

confidence: 99%

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A database of test results from steel and reinforced concrete infilled frame experiments

Huang

Burton

2020

Earthquake Spectra

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Extensive experimental investigations into the behavior of reinforcement concrete and steel frames with infill have been conducted worldwide. However, there are very few systematically created and publicly available databases on infilled frame experiments. This article assembles a database of 264 experiments on single-story infilled frames, which includes specimens with different types of frames and panels. It has been utilized by the authors (in separate studies) to develop (1) empirical equations for modeling the infill panels as equivalent struts and (2) machine learning models for failure mode classification. The intent is for the database to be augmented and further used in various other applications in studying the seismic behavior of masonry-infilled frames.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A database of test results from steel and reinforced concrete infilled frame experiments

Huang

Burton

2020

Earthquake Spectra

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“…Numerous experimental and analytical studies were conducted over the past 60 years on the seismic response of RC structures with URM infills. These studies can be broadly classified into four categories: (1) experimental investigation and analytical modeling of infilled frames, (2) deterministic seismic assessment, (3) probabilistic seismic assessment, and (4) parametric sensitivity studies . The experience gained from the numerous experimental and analytical studies, as well as from postearthquake reconnaissance, reveals that the seismic response of URM infilled RC frames are highly uncertain, at both the component and system levels.…”

Section: Introductionmentioning

confidence: 99%

“…These studies can be broadly classified into four categories: (1) experimental investigation and analytical modeling of infilled frames, [26][27][28][29][30][31][32][33][34] (2) deterministic seismic assessment, 35 (3) probabilistic seismic assessment, [36][37][38] and (4) parametric sensitivity studies. [39][40][41][42] The experience gained from the numerous experimental and analytical studies, as well as from postearthquake reconnaissance, reveals that the seismic response of URM infilled RC frames are highly uncertain, at both the component and system levels. This is attributable to complex infill-frame interactions, inherent nonlinearity, and variability of the infill properties coupled with its strength and stiffness degradation characteristics.…”

mentioning

confidence: 99%

Probabilistic seismic demand assessment accounting for finite element model class uncertainty: Application to a code‐designed URM infilled reinforced concrete frame building

Alam

Barbosa

2018

Earthq Engng Struct Dyn

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Summary Reliable and robust probabilistic assessment of structures requires explicit consideration of all relevant sources of uncertainty, both aleatory and epistemic. This paper proposes a formulation to incorporate model class uncertainty in probabilistic seismic demand assessment (PSDA) of structures, where model class uncertainty relates to the use of different structural analysis models used to predict the physical response of structural systems. The application of the proposed formulation is illustrated through the assessment of a recent code‐designed reinforced concrete (RC) frame building with unreinforced masonry (URM) infills, which is a prevalent form of construction worldwide. The model class uncertainty analyzed in this paper is related to the potential selection of one of three state‐of‐the‐art masonry infill strut models. In the application example, nonlinear static pushover (NSP) analyses and tornado sensitivity analyses are performed to identify the important parameters of infill strut models affecting the seismic response of the infilled RC frame. A hybrid stripe analysis (HSA) approach is adopted to perform nonlinear response history analyses (NRHAs) of the example RC frame. To account for relevant sources of uncertainty, latin hypercube sampling (LHS) is used to quantify the minimum number of realizations of model parameters necessary to achieve convergence of the coefficient of variation (COV) of the engineering response parameters assessed. Results of the NRHAs indicate that incorporating model class uncertainty significantly affects the estimation of uncertainties of the drift hazard demand.

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A double-strut macro-modelling approach for the in-plane analysis of masonry infilled RC frames with openings

Jia,

Kong,

2024

Bull Earthquake Eng

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Based on structural experiments and a micro finite-element analysis in ABAQUS, the interaction between an infill wall and an RC frame under lateral loads was investigated. According to the load transmission mechanism and the stiffness and strength contribution of infill walls, a macro-model with multiple blocks around the opening (represented as double diagonal struts) was proposed. The macromodel was established in OpenSees to simulate the discontinuities in the force transmission paths and the stress states around the openings of the infill walls. In a comparison with the experimental data, the proposed macromodel was proven to adequately simulate the different failure modes and hysteretic behaviours of masonry infills with different opening modes and locations. By using the opening rate and opening position as variables, 52 macro-modelling analyses of masonry-infilled RC frames with different window and door openings were carried out. The results showed that the presence of masonry infill walls greatly increased the initial stiffness and ultimate load-bearing capacities of single-story, single-bay RC frame structures. A larger opening rate resulted in lower initial stiffness and ultimate load-carrying capacity values, which decreased more as the opening locations deviated further from the centre to the sides.

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Comparative Assessment of Strut Models for the Modelling of in-Plane Seismic Response of Infill Walls

Abstract: Abstract. The influence of infills on the seismic response of frame structures has long been

Cited by 19 publications

References 20 publications

A database of test results from steel and reinforced concrete infilled frame experiments

A database of test results from steel and reinforced concrete infilled frame experiments

Probabilistic seismic demand assessment accounting for finite element model class uncertainty: Application to a code‐designed URM infilled reinforced concrete frame building

A double-strut macro-modelling approach for the in-plane analysis of masonry infilled RC frames with openings

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