Optimum aeroelastic control via iterative neural network training for wind-resistant cyber–physical buildings

Abdelaziz, Khalid M.; Hobeck, Jared D.

doi:10.1016/j.asoc.2021.108100

Cited by 3 publications

(3 citation statements)

References 24 publications

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“…(6) For on-site construction optimisation, Saini et al [91] proposed an action planning system to optimize and automate the operation for well construction, whereas Tariq et al [92] optimised the design of solar chimney considering energy efficiency and environmental factors. (7) For structure design optimisation, Fernández-Cabán et al [93] utilised a stochastic optimisation algorithm to support sustainable tall building design based on occupant comfort and building drift, and Abdelaziz and Hobeck [94] developed an optimal controller to reduce the vibration caused by wind.…”

Section: Trends and Analysismentioning

confidence: 99%

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Digital Twin and Industry 4.0 Enablers in Building and Construction: A Survey

2022

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With increasing interest in automatic and intelligent systems to enhance the building and construction industry, digital twins (DT) are gaining popularity as cost-effective solutions to meet stakeholder requirements. Comprising real-time multi-asset connectivity, simulation, and decision support functionalities, many recent studies have utilised Industry 4.0 technologies with DT systems to fulfil construction-specific applications. However, there is no comprehensive review to our knowledge, holistically examining the benefits of using DT as a platform from the angles of Industry 4.0 technologies, project management, and building lifecycle. To bridge this gap, a systematic literature review of 182 papers on DT-in-construction works over the past 6 years is conducted to address the three perspectives. In this review, a unified framework is first modelled to incorporate Industry 4.0 technologies within the DT structure. Next, a Six M methodology (comprising of Machine, Manpower, Material, Measurement, Milieu, and Method) based on Ishikawa’s Diagram with building lifecycle considerations is proposed to highlight the advantages of DT in ensuring successful construction projects. Lastly, through the identification of 11 future directions, this work aims to serve as a reference for both industry and academia towards the use of DT systems as a fundamental enabler to realise the Construction 4.0 paradigm.

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Section: Trends and Analysismentioning

confidence: 99%

“…[ 93,94] Structure design optimisation. Support structure evaluation dynamically and minimise wind-induced vibration.…”

Section: Integration Of Technologies Using a Dt-adapted Frameworkmentioning

confidence: 99%

Digital Twin and Industry 4.0 Enablers in Building and Construction: A Survey

2022

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“…Thus, the frequency similarity ratio is not a distinctive value, making the design of the aeroelastic model more flexible. Furthermore, the aeroelastic model design of the LT should meet the requirements of Strouhal number, Cauchy number, density ratio, and ξ [19].…”

Section: Wind Tunnelmentioning

confidence: 99%

Wind-Induced Vibration Coefficient of Landscape Tower with Curved and Twisted Columns and Spiral Beams Based on Wind Tunnel Test Data

et al. 2022

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The complex aerodynamic shape and structural form affect the wind-induced vibration coefficient β of landscape towers with a twisted column and spiral beam (short for LTs). To clarify the β distribution characteristics, evaluate the applicability of existing load codes, and provide accurate design wind loads, wind tunnel tests and numerical simulations were carried out on a LT. The LT’s aerodynamic coefficients and wind-induced responses were measured using rigid sectional and aeroelastic models. Furthermore, the displacement wind-induced vibration coefficient βd and inertial load wind-induced vibration coefficient βi(z) of the LT were calculated from these measured data. Combined with test data and a finite element model, the impacts of the wind speed spectrum type, the structural damping ratio ξ, and the peak factor g on β of the LT are analyzed. The accuracy of β of the LT calculated by Chinese and American load codes was examined and given the correction method. The results showed that the wind yaw angle had a significant impact on βd of the LT, which cannot be neglected in current load codes. The abrupt mass increase at the platform location makes the distribution characteristics of βi(z) of the LT different from conventional high-rise structures. The values of ξ and g have a significant impact on the calculation results of β, which are the key to the accurate design wind loads of LTs. The existing load codes are not suitable for LTs, and the correction method proposed in this paper can be used to improve them.

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Adaptive flow-induced vibration control using distributed sensor/actuator networks with gated recurrent units and genetic algorithms

Abdelaziz¹,

Hobeck²

2022

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2022

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Optimum aeroelastic control via iterative neural network training for wind-resistant cyber–physical buildings

Cited by 3 publications

References 24 publications

Digital Twin and Industry 4.0 Enablers in Building and Construction: A Survey

Digital Twin and Industry 4.0 Enablers in Building and Construction: A Survey

Wind-Induced Vibration Coefficient of Landscape Tower with Curved and Twisted Columns and Spiral Beams Based on Wind Tunnel Test Data

Adaptive flow-induced vibration control using distributed sensor/actuator networks with gated recurrent units and genetic algorithms

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