Rapid simulation method for assessing seismic damage to building curtain walls on a regional scale using designed wind load capacity DOI
Jun Su Park, Insub Choi, Jun‐hee Kim

et al.

Integrated Computer-Aided Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 16

Published: Sept. 19, 2024

This study introduces a rapid simulation method for assessing seismic damage to building curtain walls at regional scale. Although the results are approximate, this approach enables quick evaluations, making it an important instrument emergency responses during disaster situations. method’s independence from numerical models is noteworthy advantage. Unlike conventional approaches, eliminates need structural analysis when evaluating capacities of regionally. Creating reliable both time-consuming and labor-intensive, primarily due detailed design information they require. In contrast, presented leverages wind load which designed. It based on core premise that most walls, designed resistance, possess could serve as substitutes their capacities, even if not explicitly such loads. To assess effectiveness, was applied assessments across regions experiencing varying intensities: weak, moderate, strong. The suggest likelihood sustaining in with weak be five times higher than strong wind. underscores importance considerations walls. Moreover, findings closely match actual assessment data region moderate intensity.

Language: Английский

A hybrid machine learning framework for wind pressure prediction on buildings with constrained sensor networks DOI Creative Commons

Foad Mohajeri Nav,

Seyedeh Fatemeh Mirfakhar,

Reda Snaiki

et al.

Computer-Aided Civil and Infrastructure Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 18, 2025

Abstract Accurate and efficient prediction of wind pressure distributions on high‐rise building façades is crucial for mitigating structural risks in urban environments. Conventional approaches rely extensive sensor networks, often hindered by cost, accessibility, architectural limitations. This study proposes a novel hybrid machine learning (ML) framework that reconstructs high‐fidelity (HFWP) coefficient fields from limited number sensors leveraging dynamic spatiotemporal feature extraction mapping. The methodology consists four key stages: (1) low‐fidelity field reconstruction data using constrained QR decomposition, (2) dimensionality reduction both HFWP reconstructions to extract dominant features, (3) mapping the reduced‐order representations long short‐term memory network, (4) over time. proposed approach, which predicts time history coefficients various directions, validated tunnel data, with case studies multiple façades—including windward, right‐side, leeward surfaces—under placement scenarios. also evaluated against alternative ML models, demonstrating superior accuracy reconstructing full field. results highlight robustness generalization capability model across different directions configurations, making it practical solution real‐time estimation health monitoring digital twin applications.

Language: Английский

Citations

0
The experimental and numerical results of a spinning/whirling composite thick-beam of glass fibers reinforced with CNR based on SSDT and neutral axis with electric field DOI Creative Commons

Fatemeh Bargozini,

Mehdi Mohammadimehr

International Journal of Lightweight Materials and Manufacture, Journal Year: 2025, Volume and Issue: unknown

Published: May 1, 2025

Language: Английский

Citations

0
Two‐stage nonparametric framework for missing data imputation, uncertainty quantification, and incorporation in system identification DOI Creative Commons
Wenjing Zhang, Ka‐Veng Yuen, Wang‐Ji Yan

et al.

Computer-Aided Civil and Infrastructure Engineering, Journal Year: 2024, Volume and Issue: 39(19), P. 2881 - 2902

Published: May 26, 2024

Abstract In many engineering applications, missing data during system identification can hinder the performance of identified model. this paper, a novel two‐stage nonparametric framework is proposed for imputation, uncertainty quantification, and its integration in with reduced computational complexity. The does not require functional forms both imputation model mathematical Moreover, through construction single model, analytical expressions predictive distributions be given entries across all missingness patterns. Furthermore, expectation variance distribution are provided to impute values quantify uncertainty, respectively. This incorporated into by mitigating influence samples imputations training testing. applied three including simulated example two real applications on structural health monitoring seismic attenuation modeling. Results reveal minimum reduction 21% root mean squared error values, compared those achieved directly removing incomplete samples.

Language: Английский

Citations

3
Modal identification of wind turbine tower based on optimal fractional order statistical moments DOI Creative Commons
Yang Yang, Zhewei Wang, Shuai Tao

et al.

Computer-Aided Civil and Infrastructure Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 23, 2024

Abstract In vibration testing of civil engineering structures, the first two modes are crucial in representing global dynamic behavior structure measured. present study, a comprehensive method is proposed to identify wind turbine towers, which based on analysis fractional order statistical moments (FSM). This study offers novel contributions key aspects: (1) theoretical derivations relationship between FSM and mode; (2) successful use 32/7‐order displacement moment as optimal tower modes, by combining with noise resistance analysis, sensitivity stability respectively. Using method, was used modal towers. By obtaining response same vertical line, then calculated estimate corresponding structural vibration. Considering other influencing factors field test, identification results this index under different excitation forms conditions were analyzed numerical simulation verified test data. The evaluation show that can accurately presents new robust for identification, is, simple effective its implementation.

Language: Английский

Citations

1
Effects of Aerodynamic Damping and Gyroscopic Moment of A Semi-submersible Floating Vertical Axis Wind Turbine: An Experimental Study DOI
Yingying Jiang, Zhengshun Cheng, Peng Chen

et al.

Journal of Offshore Mechanics and Arctic Engineering, Journal Year: 2024, Volume and Issue: 147(2)

Published: Sept. 10, 2024

Abstract Floating vertical-axis wind turbines (VAWTs) offer certain advantages over floating horizontal-axis (HAWTs), particularly in terms of the potential to lower cost energy. In this study, a 5 MW VAWT concept with three straight blades and semi-submersible hull deployed water depth 42 m was presented. addition, experimental setup is introduced, calibration tests are also performed validate physical model system. Subsequently, aerodynamic damping gyroscopic moment effects were investigated by wind/wave basin scale ratio 1/50. Results indicate that can suppress fluctuations platform's surge pitch motion at their respective resonance frequencies tends increase speed below-rated speed. Additionally, surge-induced pitch-induced hardly affect wave frequency response. Meanwhile, natural substantially altered due loads. The rotating rotor platform together excite significant moments, leading noticeable oscillations roll motion. there an increasing trend effect rotational During normal operation VAWT, influence roll/pitch motions. Overall, study contributes providing valuable insights into characteristics VAWTs.

Language: Английский

Citations

0
Rapid simulation method for assessing seismic damage to building curtain walls on a regional scale using designed wind load capacity DOI
Jun Su Park, Insub Choi, Jun‐hee Kim

et al.

Integrated Computer-Aided Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 16

Published: Sept. 19, 2024

This study introduces a rapid simulation method for assessing seismic damage to building curtain walls at regional scale. Although the results are approximate, this approach enables quick evaluations, making it an important instrument emergency responses during disaster situations. method’s independence from numerical models is noteworthy advantage. Unlike conventional approaches, eliminates need structural analysis when evaluating capacities of regionally. Creating reliable both time-consuming and labor-intensive, primarily due detailed design information they require. In contrast, presented leverages wind load which designed. It based on core premise that most walls, designed resistance, possess could serve as substitutes their capacities, even if not explicitly such loads. To assess effectiveness, was applied assessments across regions experiencing varying intensities: weak, moderate, strong. The suggest likelihood sustaining in with weak be five times higher than strong wind. underscores importance considerations walls. Moreover, findings closely match actual assessment data region moderate intensity.

Language: Английский

Citations

0