Use of the model parameter sensitivity analysis for the probabilistic-based seismic assessment of existing buildings

Haddad, Jamil; Cattari, Serena; Lagomarsino, Sergio

doi:10.1007/s10518-018-0520-8

Cited by 17 publications

(9 citation statements)

References 28 publications

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“…Kržan et al 2015) at different levels of thoroughness/completeness (e.g. Rota et al 2014;Haddad et al 2019)-may lead to different assumptions in the modelling and, consequently, to scattered results in the analysis/verification phase.…”

Section: Introductionmentioning

confidence: 99%

Benchmarking the software packages to model and assess the seismic response of unreinforced masonry existing buildings through nonlinear static analyses

Cattari

Magenes

2021

Bull Earthquake Eng

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Seismic modelling of unreinforced masonry (URM) buildings is addressed worldwide according to different approaches, not only at research level, but also in the current engineering practice. The analysts have so many different possible choices in interpreting the response of the examined structure and in transferring them into the model for the assessment that the achievable results may turn out in a huge scattering, as also testified by various comparative studies already available in the literature. Within this context, this paper is an overview of a wide research activity addressed to the benchmarking of software packages for the modelling and seismic assessment through nonlinear static analyses of URM buildings. The activity conveyed the effort of many experts from various Italian universities and was funded by the Italian Department of Civil Protection within the context of the ReLUIS projects. The main objective of the research is the critical analysis and the systematic comparison of the results obtained by using several modelling approaches and software package tools on selected benchmark examples in order to provide a useful and qualified reference to the engineering and scientific community. To this aim, different benchmark examples—of increasing complexity, ranging from the single panel to 3D existing buildings—have been specifically designed. While other papers from the teams involved in the research project delve on the specific results achieved on each of these case studies, this paper illustrates an overview on such benchmark structures, their purpose and the standardized criteria adopted to compare the results. Moreover, the whole set of benchmark case-studies is made available in this paper through their detailed input data allowing to be replicated also by other researchers and analysts.

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Section: Introductionmentioning

confidence: 99%

Benchmarking the software packages to model and assess the seismic response of unreinforced masonry existing buildings through nonlinear static analyses

Cattari

Magenes

2021

Bull Earthquake Eng

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“…The results of this preliminary sensitivity analysis identify the variables to be taken into account in step 2, with little computational effort and the possibility to directly verify the consistency between numerical results and physical meaning from an engineering perspective. More specifically, when it comes to the aleatory uncertainties, the “star design with a central point approach” has been adopted 37 . This approach limits the numerical analyses to be performed to 2 N + 1 (where N is the number of uncertain variables or group of variables).…”

Section: Model Calibration In the Elastic Fieldmentioning

confidence: 99%

Dynamic calibration and seismic validation of numerical models of URM buildings through permanent monitoring data

Cattari

Abbati

Alfano

et al. 2021

Earthq Engng Struct Dyn

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The construction of reliable numerical models is a key aspect within the seismic assessment of existing unreinforced masonry buildings. However, it is also a complex process due to the many uncertainties involved that can affect the structural response. In situ tests allow for the acquisition of data at a local scale. Nonetheless, supplementary information representing the global response is necessary to overcome other uncertainties (i.e., wall-to-wall connections or floor stiffness). To this end, data from ambient vibration tests (AVT) are useful to support seismic assessments. In fact, they allow for the identification of dynamic structural properties, which are useful in refining the calibration of numerical models. In addition, they address solutions for the aforementioned uncertainties. In this context, the paper presents how to efficiently exploit AVT data by using the case study of the former Courthouse of Fabriano (Ancona, Marche). This structure has been monitored since 2010 by the Italian Department of Civil Protection with a network of 28 seismic accelerometers. As a result, the equivalent frame (EF) model was calibrated in the linear field thanks to the dynamic identification provided under operational conditions. Subsequently, nonlinear dynamic analyses were performed using the recordings acquired during the Central Italy earthquake in 2016/2017. Even if the building experienced only a slight nonlinear behaviour, this comparison between the simulated and actual seismic response made it possible to validate the EF model, especially with reference to the capability in reproducing the amplification phenomena, which is extremely important for the assessment of structural and non-structural components. K E Y W O R D Sdynamic identification, equivalent frame models, masonry structures, permanent monitoring, recordings from seismic eventsThis is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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“…Among the many factors that affect the WF, it is of considerable significance to distinguish the sensitive factors that have an essential impact on the WF, which can help us identify the key factors. This study is analyzed by a single factor sensitivity analysis method (Haddad et al, 2019). The calculation formula is as follow:…”

Section: Sensitivity Analysis Of Lcwf Of Concrete Productionmentioning

confidence: 99%

Life cycle water footprint assessment of concrete production in Northwest China

et al. 2021

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Concrete requires a large amount of water throughout the product life cycle. This study constructs a comprehensive evaluation model of the life cycle water footprint (LCWF) of concrete production. It calculates the LCWF of concrete in Northwest China. The main conclusions are: (1) The vast water consumption of the concrete industry is closely related to VWF, which is the focus of LCWF assessment. The first three significant factors are WF of Coarse aggregate, Meals, and Cement. (2) the overproduction of cement is 15,731 × 104t, which results in the excessive consumption of water resources of 24,035 × 104m3. Excessive water consumption in the domestic cement trade is equivalent to an outflow of water resources. (3) The water stress index (WSI) of Northwest China is 0.67 (in Heavy pressure). The WSI of Qinghai (0.05) and Shaanxi (0.5) are in Mild pressure and Moderate pressure, respectively, while the WSI of Gansu is 0.67 (in Heavy pressure). It is worth noting that the WSI of Ningxia (9.01) and Xinjiang (1.28) are under Extreme pressure. The sustainable development of water resources in Northwest China is under heavy pressure, exacerbated by the growth of the concrete and cement industries.

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Use of the model parameter sensitivity analysis for the probabilistic-based seismic assessment of existing buildings

Cited by 17 publications

References 28 publications

Benchmarking the software packages to model and assess the seismic response of unreinforced masonry existing buildings through nonlinear static analyses

Benchmarking the software packages to model and assess the seismic response of unreinforced masonry existing buildings through nonlinear static analyses

Dynamic calibration and seismic validation of numerical models of URM buildings through permanent monitoring data

Life cycle water footprint assessment of concrete production in Northwest China

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