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Quantitative Seismic Damage Assessment of Resilient Concrete Columns Using Drift Ratio-Based Fractal Dimension.

• Authors : Son, Bunka¹ (AUTHOR) ; Li, Ganggang² (AUTHOR) ; Luo, Zhiwei¹ (AUTHOR)

• Source: Materials (1996-1944). Dec2024, Vol. 17 Issue 23, p5850. 20p.

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On the probabilistic seismic damage assessment of trapezoidally corrugated steel plate shear walls

• Authors : Mahdi Dadmanesh; Massood Mofid

Subjects: Trapezoidally corrugated steel plate shear wall (TCSPSW); Damage state (DS); Repair state (RS)

• Source: Results in Engineering, Vol 24, Iss , Pp 102971- (2024)

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Machine learning prediction models for ground motion parameters and seismic damage assessment of buildings at a regional scale

• Authors : Sanjeev Bhatta; Xiandong Kang; Ji Dang

Subjects: Seismic damage prediction; Ground motion parameter; Machine learning algorithms

• Source: Resilient Cities and Structures, Vol 3, Iss 1, Pp 84-102 (2024)

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Seismic Damage Assessment of Reinforced Concrete Slab-Column Connections—Review of Test Data, Code Provisions and Analytical Models

• Authors : Aikaterini S. Genikomsou

Subjects: seismic damage assessment; slab-column connections; punching shear

• Source: Buildings, Vol 14, Iss 2, p 465 (2024)

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A modified Park-Ang model for seismic damage assessment of recycled aggregate concrete-filled square steel tube columns

• Authors : Sheng Peng; Junyu Wang; Yingkang Yao

Subjects: Recycled aggregate concrete-filled square steel tube (RACFSST) column; Modified Park-Ang model; Seismic damage assessment

• Source: Case Studies in Construction Materials, Vol 17, Iss , Pp e01692- (2022)

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Seismic Damage Assessment of Existing Planar Steel X- or V-Braced Frames Using the Hybrid 'M and P' Technique

• Authors : Triantafyllos Makarios; Athanasios Bakalis; Evangelos Efthymiou

Subjects: damage identification; steel-braced frames; concentric X- or V-bracing

• Source: Applied Sciences, Vol 14, Iss 19, p 8638 (2024)

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Computer-Vision and Machine-Learning-Based Seismic Damage Assessment of Reinforced Concrete Structures

• Authors : Yang Xu; Yi Li; Xiaohang Zheng

Subjects: seismic damage assessment; computer vision; machine learning

• Source: Buildings, Vol 13, Iss 5, p 1258 (2023)

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Seismic damage assessment of steel storage racks subjected to subduction earthquakes using a simplified method

• Authors : Mata, Ramón; Nuñez, Eduardo

• Source: Case Studies in Construction Materials ; volume 22, page e04313 ; ISSN 2214-5095

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Seismic Damage Assessment of Instrumented Wood-frame Buildings: A Case-study of NEESWood Full-scale Shake Table Tests

• Authors : Roohi, Milad; Hernandez, Eric M.; Rosowsky, David

Subjects: Computer Science - Systems and Control; Electrical Engineering and Systems Science - Signal Processing

• Source: Presented at Engineering Mechanics Institute Conference 2018 (MS 23-Advanced deep learning based SHM) and in the EMI SHM and Control Committee Student Paper Competition at MIT, Boston, MA, May 29-June

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A Rapid Seismic Damage Assessment (RASDA) Tool for RC Buildings Based on an Artificial Intelligence Algorithm

• Authors : Konstantinos Morfidis; Sotiria Stefanidou; Olga Markogiannaki

Subjects: seismic damage assessment; artificial neural networks; pattern recognition

• Source: Applied Sciences, Vol 13, Iss 8, p 5100 (2023)

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