Amplification in Mechanical Properties of a Lead Rubber Bearing for Various Exposure Times to Low Temperature

Yaşar, Cansu; Karuk, Volkan; Kaplan, Onur; Çavdar, Esengül; Ozdemir, Gokhan

doi:10.3390/buildings13020478

Cited by 9 publications

(3 citation statements)

References 20 publications

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“…The post-elastic period and rubber height have negligible effects on lead core heating. Additionally, the study explores the influence of low temperatures on LRB hysteretic properties [89]. Conditioning full-scale LRBs from -20 °C to 20°C, the study applies displacement-controlled cyclic motions at frequencies of 0.1 and 0.5 Hz.…”

Section: Impact Of Temperature On Lead Core Performancementioning

confidence: 99%

Advancements in base isolation for seismic mitigation: Perspectives on elastomeric and lead rubber bearings

Patel,

Mourya,

Pandey

et al. 2024

Res. Eng. Struct. Mat.

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Base isolation represents an environmentally sustainable and highly effective technique for mitigating structural responses to strong seismic forces generated by plate boundary tectonic activities. Its primary benefits include preventing structural collapse, minimizing property damage, and safeguarding human lives during severe earthquakes. This passive, energy-efficient approach is often complemented by supplementary dampers to further reduce seismic impact. This study provides a comprehensive overview of elastomeric and lead rubber isolators, covering their theoretical, experimental, and numerical aspects. The paper examines the seismic response of structures equipped with elastomeric and lead rubber bearings, including a discussion of their pros and cons. This paper presents the comparison of fixed base and rubber isolated base in SAP 2000 to assess the effectiveness of base isolation. Additionally, it presents findings from shaking table tests, relevant building codes, and practical applications, considering the impact of events beyond initial design parameters. The review delves into the historical evolution of elastomeric and lead rubber-bearing systems, offering valuable insights into their contemporary understanding. Furthermore, the paper introduces three-dimensional isolators designed to attenuate ground motion responses in both horizontal and vertical directions. It investigates the effects of soil-structure interaction and evaluates isolator responses under blast and impact aircraft loading conditions. Notably, specific types of bearings exhibit exceptional energy dissipation capabilities during catastrophic seismic events, leading to reduced floor acceleration and inter-storey sway at critical levels. In conclusion, the study offers future recommendations and identifies potential constraints in this field

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Section: Impact Of Temperature On Lead Core Performancementioning

confidence: 99%

Advancements in base isolation for seismic mitigation: Perspectives on elastomeric and lead rubber bearings

Patel,

Mourya,

Pandey

et al. 2024

Res. Eng. Struct. Mat.

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show abstract

“…The study involved a series of variable-temperature pressure-shear experiments conducted within a temperature range of −30 • C to 20 • C. The evaluation of the effects of temperature on important mechanical properties, such as horizontal equivalent stiffness, characteristic strength, and post-yield stiffness, has been the focus of numerous studies. Yasar et al [20] proposed a theoretical equation for predicting the mechanical performance variability of a lead rubber bearing (LRB) in low-temperature conditions. They successfully determined the ranges of postyield stiffness and characteristic strength fluctuations for LRB exposed to varying durations of low-temperature conditions.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study of the Mechanical Properties of Full-Scale Rubber Bearings at 23 °C, 0 °C, and −20 °C

Pang,

Jiang,

Dai

et al. 2024

Polymers

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In this study, the effects of ambient temperature on the horizontal mechanical performance of isolated rubber bearings were investigated using high-speed reciprocating loading methods. A comprehensive series of 54 experimental trials are performed on the full-scale (900 mm-diameter) isolation rubber bearings, encompassing a range of temperatures (−20 °C, 0 °C, and 23 °C), shear pressures (50%, 100%, and 250%), and frequencies (0.20 Hz, 0.25 Hz, and 0.30 Hz). Because the compression-shear tests were conducted at high velocities and pressures (specifically, vertical compressive stress of 15 MPa), the equipment used in these tests was capable of generating substantial inertial and frictional forces. Appropriate correction methodologies for the precise determination of mechanical performance metrics for bearings are presented. Then, a comprehensive investigation of the effects of various loading conditions on the characteristic strength, post-yield stiffness, horizontal equivalent stiffness, and equivalent damping ratio of LRB900 (lead-core rubber bearings 900 mm-diameter) and LNR900 (linear natural rubber bearings 900 mm-diameter) is conducted. The empirical results show a discernible relationship between these characteristics and ambient temperature as the number of loading cycles increases, except for the equivalent damping ratio. Finally, empirical fitting formulations incorporating the influence of ambient temperature are presented for each performance indicator. These formulas are intended to assist designers in performing seismic design analyses by allowing them to take into consideration the effects of ambient temperature comprehensively.

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“…Researchers have focused on developing innovative strategies to enhance building structural performance while also employing alternative approaches to estimate demands on structures and assess losses in the building stock [1][2][3][4][5][6][7][8]. In recent years, the rapid advancement of computer processors has led to a significant increase in the utilisation of machine learning capabilities across various engineering domains [9][10][11][12][13][14][15][16][17][18][19]. An important application of machine learning is to enable accurate and reliable estimation of seismic demands for single-degree-of-freedom or more complex multi-degree-of-freedom structures, an area of growing interest in recent times [20][21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Utilising Artificial Neural Networks for Assessing Seismic Demands of Buckling Restrained Braces Due to Pulse-like Motions

Mohammadi,

Karimzadeh,

Yaghmaei-Sabegh

et al. 2023

Buildings

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Buckling restrained brace frames (BRBFs) exhibit exceptional lateral stiffness, load-bearing capacity, and energy dissipation properties, rendering them a highly promising choice for regions susceptible to seismic activity. The precise and expeditious prediction of seismic demands on BRBFs is a crucial and challenging task. In this paper, the potential of artificial neural networks (ANNs) to predict the seismic demands of BRBFs is explored. The study presents the characteristics and modelling of prototype BRBFs with different numbers of stories and material properties, utilising the OpenSees software (Version 2.5.0) for numerical simulations. The seismic performance of the BRBFs is evaluated using 91 near-fault pulse-like ground motions, and the maximum inter-storey drift ratio (MIDR) and global drift ratio (GDR) are recorded as a measure of seismic demand. ANNs are then trained to predict the MIDR and GDR of the selected prototypes. The model’s performance is assessed by analysing the residuals and error metrics and then comparing the trend of the results with the real dataset. Feature selection is utilised to decrease the complexity of the problem, with spectral acceleration at the fundamental period (T) of the structure (Sa), peak ground acceleration (PGA), peak ground velocity (PGV), and T being the primary factors impacting seismic demand estimation. The findings demonstrate the effectiveness of the proposed ANN approach in accurately predicting the seismic demands of BRBFs.

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Amplification in Mechanical Properties of a Lead Rubber Bearing for Various Exposure Times to Low Temperature

Cited by 9 publications

References 20 publications

Advancements in base isolation for seismic mitigation: Perspectives on elastomeric and lead rubber bearings

Advancements in base isolation for seismic mitigation: Perspectives on elastomeric and lead rubber bearings

Experimental Study of the Mechanical Properties of Full-Scale Rubber Bearings at 23 °C, 0 °C, and −20 °C

Utilising Artificial Neural Networks for Assessing Seismic Demands of Buckling Restrained Braces Due to Pulse-like Motions

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