Seismic retrofitting of reinforced concrete frame-shear wall buildings using seismic isolation for resilient performance

Wang, Xinyu; Xie, Lili; Zeng, Demin; Yang, Cantian; Liu, Qianmin

doi:10.1016/j.istruc.2021.10.081

Cited by 15 publications

(10 citation statements)

References 26 publications

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“…Takewaki (2000) proposed a systematic procedure by using the transfer function, in order to find the optimal damper positioning to minimize the dynamic compliance of a planar building frame. High fidelity Finite Element (FE) models are also used in the analysis of building isolation systems (Figure 14C), but they are often complex and with high computational costs in practical use (Wang et al, 2021).…”

Section: Building Isolation System Analysesmentioning

confidence: 99%

Analysis and design of non-linear seismic isolation systems for building structures—An overview

Zhu

Lang²,

Fujita³

et al. 2023

Front. Built Environ.

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In this paper, the development of non-linear building isolation systems is overviewed. The study summarizes commonly used linear building isolation systems in two categories, which are building base isolation systems and building inter-storey isolation systems. Typical isolators including Lead-Rubber Bearings Friction Pendulum Bearings inter-storey viscous damper and Tuned Mass Damper are reviewed. The analysis and design of linear building isolation systems are also reported. After that, non-linear building isolation systems are introduced from two aspects based on their dynamic characteristics. They are (i) non-linear stiffness isolators including Quasi-Zero Stiffness isolators and Non-linear Energy Sink and (ii) non-linear damping isolators including power-law viscous dampers and magnetorheological dampers. Practical implementations of these non-linear isolators are introduced. Finally, the analysis and design of non-linear building isolation systems are discussed. Traditional equivalent linearization approaches and advanced non-linear frequency design approaches are introduced. The promising applications of the non-linear frequency design approaches to building isolation systems are also demonstrated in this review paper.

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Section: Building Isolation System Analysesmentioning

confidence: 99%

Analysis and design of non-linear seismic isolation systems for building structures—An overview

Zhu

Lang²,

Fujita³

et al. 2023

Front. Built Environ.

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“…Moreover, such a layout reduces the torsion effect. 6,7 (2) The average gravity load of each bearing is dependent on the building self-weight divided by the number of isolation bearings, and the diameter of the isolation bearing is then determined according to the maximum allowed surface pressure. Note that the seismic isolation bearing diameter has a one-to-one correspondence with the bearing parameters, meaning that the bearing diameter can determine all bearing parameters.…”

Section: Dataset With Pseudo-labelsmentioning

confidence: 99%

“…Therefore, the widely used MDOF flexural-shear model [41][42][43][44] is used for the superstructure of the isolated building in this study, and the corresponding parameters were calibrated according to Lu et al 16 The parameters of the isolation layer were selected based on the isolation bearing. 6,7 Equations ( 2)-( 4) are used to calculate the stiffness matrix (K BI ) and mass matrix (M BI ) of the base isolation layer, respectively. Equations ( 5) and ( 6) are used to calculate the mass matrix (𝑴 𝑖 struct ) and stiffness matrix (𝑲 𝑖 struct ) of the i-th story of the superstructure, respectively.…”

Section: Physical Performance Calculation Modelmentioning

confidence: 99%

“…Seismic isolation is an effective method to improve the seismic resilience of buildings. [1][2][3][4][5][6][7][8] The dynamic response of the structure can be significantly reduced by installing isolation bearings at the base of the structure. [9][10][11] The increasing demand for seismic resilience has led to a growing demand for seismic isolation designs.…”

Section: Introductionmentioning

confidence: 99%

“…Most of the existing intelligent design methods based on deep learning rely heavily on the quality and quantity of the training data (e.g., hundreds of high-quality design drawings). However, structural design data vary by geographical area with few similar designs, [35][36][37] and the seismic isolation design method is still under development, 3,[5][6][7] making the collection of corresponding design data extremely difficult. Thus, in the schematic phase, data-driven intelligent structural design methods are unsuitable for seismic isolation design.…”

Section: Introductionmentioning

confidence: 99%

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Base‐isolation design of shear wall structures using physics‐rule‐co‐guided self‐supervised generative adversarial networks

Liao

Wang

Fei

et al. 2023

Earthq Engng Struct Dyn

Self Cite

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Seismic isolation can significantly improve the seismic resilience of buildings, resulting in a growing demand for seismic isolation designs. Meanwhile, the deep generative network‐based intelligent design can significantly increase scheme design efficiency. However, the performance of existing intelligent scheme designs is constrained by data quality and quantity. The limited availability of isolation design data hinders the development of intelligent seismic isolation design. Therefore, there is an emerging demand to establish an intelligent scheme design method that is free from data constraints and that can learn the physical mechanism and design rules. Consequently, this study proposes a physics‐rule‐co‐guided self‐supervised generative adversarial network (GAN) that can generate the layout and parameters of seismic isolation bearings by inputting the layout drawings of the shear wall structures. The critical physics‐rule‐co‐guided network model consists of a physics estimator, rule evaluator, discriminator, and design generator. The physics estimator is a deep neural network‐based surrogate model for predicting the mechanical response of an isolated structure, whereas the rule evaluator is a tensor operation‐based loss calculator that considers design rules. Furthermore, the proposed GAN model masters the schematic design ability of the seismic isolation of shear wall structures through multiphase hybrid learning of the pseudo‐labels, physical mechanism, and isolation design rules, obviating the need for ground‐truth data. Case studies also prove the rationality of the method, where the design results can effectively meet the code requirements and reduce the seismic response of the structure.

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Post-earthquake medical functionality assessment methods and enhancement strategies for hospital inpatient buildings

Cheng,

Liu,

Xie

et al. 2024

International Journal of Disaster Risk Reduction

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Seismic retrofitting of reinforced concrete frame-shear wall buildings using seismic isolation for resilient performance

Cited by 15 publications

References 26 publications

Analysis and design of non-linear seismic isolation systems for building structures—An overview

Analysis and design of non-linear seismic isolation systems for building structures—An overview

Base‐isolation design of shear wall structures using physics‐rule‐co‐guided self‐supervised generative adversarial networks

Post-earthquake medical functionality assessment methods and enhancement strategies for hospital inpatient buildings

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