Hybrid physics‐based modeling and data‐driven method for diagnostics of masonry structures-Reference-Cited by-同舟云学术

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Hybrid physics‐based modeling and data‐driven method for diagnostics of masonry structures

Published:2020-03-14 Issue:5 Volume:35 Page:483-494
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:Computer‐Aided Civil and Infrastructure Engineering

Author:

Napolitano Rebecca¹,Glisic Branko¹

Affiliation:

1. Department of Civil and Environmental Engineering Princeton University Princeton NJ USA

Funder

National Science Foundation

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/mice.12548

Reference62 articles.

1. Crack Patterns Induced by Foundation Settlements: Integrated Analysis on a Renaissance Masonry Palace in Italy

2. A multilevel approach for the damage assessment of Historic masonry towers

3. Numerical Modeling of Historic Masonry Structures

4. Critical Factors and Guidelines for 3D Surveying and Modelling in Cultural Heritage

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1. Assessing the behavior of historic masonry buildings to tornadic events: A comparative study of code-based analysis and point cloud based simulation;Engineering Failure Analysis;2024-09

2. A neural network‐based automated methodology to identify the crack causes in masonry structures;Computer-Aided Civil and Infrastructure Engineering;2024-07-22

3. Seismic Response Prediction of Porcelain Transformer Bushing Using Hybrid Metaheuristic and Machine Learning Techniques: A Comparative Study;Mathematics;2024-07-03

4. Crack pattern–based machine learning prediction of residual drift capacity in damaged masonry walls;Computer-Aided Civil and Infrastructure Engineering;2024-05-02

5. Image-based 3D modeling as a damage prioritization tool for historic buildings in post-disaster areas: The case of the 2020 Beirut blast;Journal of Cultural Heritage;2023-07

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